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New ideas for global warming solutions win $1M in funding

Office for Sustainability Communications

Climate Change Solutions Fund awards recognize nine projects around the world

Harvard faculty and students are training their interests and expertise on what is literally the world’s hottest hot-button issue: global warming. As a result, nine research teams will share $1 million in the seventh round of the Climate Change Solutions Fund (CCSF) awards for proposals that create critical knowledge, propel novel ideas, and lead toward solutions that can be applied at Harvard and across the globe.

“Pursuing a more sustainable future means advancing on several fronts to address the tremendous challenges posed by climate change,” Harvard President Larry Bacow said. “The projects being funded this year draw on strengths from across the University and among a wide swath of researchers and scholars. I look forward to seeing where their efforts lead us in the years ahead.”

Vice Provost for Research Richard McCullough , whose office administers the fund, said, “The variety of research in which our faculty and students engage — projects in government, engineering, chemistry, biology, landscape architecture, and more — reflects Harvard’s strong commitment to addressing the full scope of impacts from climate change. With support from the University and generosity from alumni and others, CCSF is able to fund projects that are paramount to solving global climate and health challenges.”

The fund was established in 2014 by President Emerita Drew Faust to support and speed up Harvard’s transition from nonrenewable to sustainable sources.

This year’s projects range from studying the implications of geographic and administrative boundaries on groundwater extraction in India, to identifying sources of methane in China, to examining natural structures with useful properties at Harvard’s Museum of Comparative Zoology.

The fund review committee selects research projects each year from the University’s 12 Schools, giving special consideration to those that use the campus as a living laboratory to study global sustainability challenges that align with the priorities in the Harvard’s Sustainability Plan and the climate goals defined by the Presidential Committee on Sustainability and the Office for Sustainability . As of 2021, nearly 60 CCSF projects have received more than $7 million. The fund is supported by the President’s office and donations from alumni and others.

This year’s winning projects are summarized below. Applications for next year’s awards will open in July 2021. Interested applicants should contact [email protected] .

A Study of the Implications of Geographic and Administrative Boundaries on Groundwater Extraction in India

Shweta Bhogale , Ph.D. Candidate, Public Policy, Graduate School of Arts and Sciences

Agriculture’s increased dependence on groundwater at a time of worsening agroclimatic conditions is bringing the planet closer to a major water crisis, with potentially enormous consequences for both food production and the livelihoods of rural populations — a majority of the workforce in many developing countries. This project will study the effects of competition for groundwater and irrigation practices, crop choices, agricultural livelihoods, and long-term water levels in India. The project leaders hypothesize that water sources that are shared between districts see greater levels of water extraction, and aim to provide evidence for the effectiveness of different institutional and policy mechanisms that dampen adverse effects of competition for water. In particular, they are interested in whether governance of groundwater resources in their entirety, instead of as segmented units, could lead to more sustainable extraction practices.

Designing a Solid-State Battery Device for Ultrahigh Performance Electric Vehicle Applications

Xin Li , Associate Professor of Materials Science, Harvard John A. Paulson School of Engineering and Applied Sciences

After developing a solid-state battery with ultra-long cycling and ultra-high current density, with the

potential for high-performance electric vehicle applications, Li hopes to demonstrate that the same design principle can work just as efficiently in a more practical, pouch-cell prototype. This larger format will further demonstrate the innovative battery design and provide critical data that will impact future research and industrial applications. The ultimate goal is to design a battery that outperforms internal combustion engines so electrical vehicles accelerate the transition from fossil-fuel-based energy to renewable energy.

Kaitlyn Loftus (left) and Robin Wordsworth.

A Back-to-Basics Approach to Improve Precipitation Physics in Global Climate Models

Kaitlyn Loftus , Ph.D. Candidate in Earth and Planetary Sciences, Graduate School of Arts and Sciences, with co-investigator Robin Wordsworth , Associate Professor of Environmental Science and Engineering, Harvard John A. Paulson School of Engineering and Applied Sciences

In the model worlds used to predict and prepare for climate change, it is almost always lightly drizzling — unlike on the real Earth. The most complex climate models cannot even reproduce observed precipitation characteristics accurately, let alone robustly predict future characteristics. This failure is significant, because precipitation is directly associated with high-risk impacts such as floods, droughts, and lower regional crop yields, and indirectly associated with uncertainties in future temperature change. This project proposes a novel approach to representing precipitation in climate models by building a model that better reproduces present-day precipitation.

Exploring Ion Mobility in Metastable Oxide Thin Films for Energy Applications

Johanna Nordlander , Postdoctoral Fellow, Department of Physics, Faculty of Arts and Sciences

Advancements in clean, sustainable energy technology are critical to mitigating increasing global power usage. A promising technology with a variety of potential applications for green electricity are solid oxide fuel cells (SOFCs), which have superior conversion efficiency and pollution-free exhaust. To promote this technology, new oxide material classes that allow oxygen transport closer to room temperature are needed. This project hopes to use state-of-the-art thin-film synthesis techniques to engineer oxides that will let the team construct lower-temperature conductors.

Prospecting for Functional Materials in the Entomology Collections of the Museum of Comparative Zoology

Naomi Pierce , Sidney A. and John H. Hessel Professor of Biology, Department of Organismic and Evolutionary Biology, Faculty of Arts and Sciences; Curator of Lepidoptera in the Museum of Comparative Zoology; Senior Fellow of the Society of Fellows

The ability to predict, prevent, or alleviate impacts of climate change is becoming increasingly critical as extreme weather events grow more frequent. Biomimetic design focuses on examining natural structures with useful properties, such as butterfly-wing scales, to develop new materials. Exploring natural features that have evolved over millions of years provides insight into their chemical and structural variation. This project will utilize a previously developed imaging platform with the extensive collections in Harvard’s Museum of Comparative Zoology to model nanostructures producing various features, and use that data to train a new AI algorithm to predict microscopic features from structural, color, and pattern properties. This data can then be applied to specific purposes, such as reducing ultraviolet and infrared ray absorption or increasing the efficiency of cells used in solar panels. A more comprehensive understanding of natural structures will promote development of new biologically inspired materials that can reduce reliance on fossil fuels and ultimately mitigate the effects of climate change.

Martha Schwartz (left) and Edith Katz.

Linear Urban Forest

Martha Schwartz , Professor in Practice of Landscape Architecture, Harvard Graduate School of Design, with co-investigator Edith Katz, Teaching Associate, Harvard Graduate School of Design

The effects of global warming are being felt widely, especially in cities, and the urban heat island effect is projected to have the most serious effects on human health. The heat island effect is the difference between temperature changes over vegetated land areas versus those over urban landscapes, where there is more solar radiation is absorbed. This causes urban areas to become warmer than surrounding, less-dense areas. By using Springfield, Massachusetts, as a test site, this project will explore the effects of afforestation by studying the results of planting connected lanes of trees throughout the city. The research will look toward the near future of automatic vehicles and smart transportation that will allow cities to “harvest” a lot of space in their public rights-of-way, creating room for linear urban afforestation.

As part of the project, the team plans to measure the reduction in heat and air pollution, absorption and control of storm water, reduction of energy use, increase of urban biodiversity, and CO₂ mitigation. This study will open up new ways of viewing a city’s public landscapes not just as amenities, but as spaces to regenerate natural systems as pathways to more climate equity and a more integrated balance with nature.

Shaojie Song (left) and J. William Munger.

Courtesy photo (left); photo by Ian MacLellan

Using In Situ Observations to Identify Methane Sources in the Beijing Region

Shaojie Song , Research Associate, Harvard-China Project on Energy, Economy, and Environment, Harvard John A. Paulson School of Engineering and Applied Sciences, with co-investigator J. William Munger , Senior Research Fellow in Atmospheric Chemistry, Harvard John A. Paulson School of Engineering and Applied Sciences

Human activities concentrated in cities are dominant sources of carbon dioxide and methane, the greenhouse gases that affect climate. Urban areas account for 70 percent of Earth’s greenhouse gases, but knowing exactly where emissions come from is essential for developing effective and affordable management plans. This project will use atmospheric measurements to assess methane sources in the Beijing region, where government policy mandated a shift from coal to natural gas in district heating plants and building boilers. The goal of the project, a collaboration of the SEAS-based Harvard-China Project and the Tsinghua University School of Environment, is to determine whether the coal-to-gas conversion has had its intended effect on greenhouse gas reduction or inadvertently created a new greenhouse gas source. The work will prepare the team for future research on poorly understood dimensions of the second-most-powerful greenhouse gas emissions in China and identifying effective and affordable mitigation solutions.

Using Volcanic Vents to Combat Climate Change

Benton Taylor , Assistant Professor, Department of Organismic and Evolutionary Biology, Faculty of Arts and Sciences

Anthropogenic increases in atmospheric carbon dioxide (CO₂) are currently the strongest drivers of global climate change. This additional CO₂ makes plant photosynthesis more efficient and plants may naturally mitigate global warming by growing larger and capturing some portion of CO₂. Tropical forests have an immense potential to naturally mitigate climate change by increasing plant carbon capture in response to rising CO₂, but logistical constraints prevent large-scale CO₂-enrichment experiments to test this in the tropics. Volcanic vents that naturally release CO₂ into the surrounding forests provide an innovative, cost-effective, immediate way to assess the forests’ responses to an increasingly CO₂-enriched world. The project plans to establish vegetation census plots at forests in both elevated CO₂ conditions (simulating future atmospheric conditions) and ambient CO₂ (current condition) sites to determine their growth and carbon-capturing responses to long-term CO₂ enrichment. Understanding these responses will 1) dramatically improve our ability to predict global climate change in Earth system models, 2) provide insight into the future dynamics of the tropical forest biome, and 3) identify direct-management strategies to maximize their future carbon-capturing potential.

Exploring Magnetic Topological Insulators for Ultra-Low-Energy Information Technologies

Christian Tzschaschel , Postdoctoral Researcher, Chemistry and Chemical Biology, Faculty of Arts and Sciences

Rapid advances in information technology are accompanied by a dramatic increase in energy costs from data storage, transfer, and processing. To keep energy consumption connected to the increasing amount of data at a sustainable level requires a breakthrough in technology. This project aims to reduce the ecological footprint of information technology by finding new materials to efficiently control magnetism. Specifically, the project will explore the new class of magnetic topological insulators, in which the electrical control of magnetism is predicted to be particularly efficient. Combining electrical transport measurements and nonlinear optical techniques not only will allow for the development of a fundamental understanding of the magnetoelectric coupling in these materials, it will also demonstrate their feasibility for ultra-low energy applications.

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Call for proposals: Case studies to advance research on climate change adaptation strategies and their impact on public health

The call for applications is closed. Submissions are being reviewed by the project’s Steering Committee. Applicants will be notified in January 2024 regarding the status of their submission.

Instrucciones detalladas en español

As part of the NIH Climate Change and Health Initiative and in collaboration with partner NIH Institutes and Centers, the Center for Global Health Studies (CGHS) of the Fogarty International Center (FIC) within the U.S. National Institutes of Health (NIH) is inviting submissions for a collection of case studies on adaptation strategies that respond to the impact of climate change on public health. For the purposes of this call, adaptation is broadly defined as the process of adjustment to actual and potential climate-led impacts. A case study approach is particularly useful when there is a need to explore in-depth information of a topic or event, identify gaps in current literature, and lessons learnt in multiple settings (see reference 1 ).This collection is intended to shed light on current knowledge and the potential for research to increase our understanding of climate change adaptation and its impact on health. For instance, research is needed to:

• Increase our knowledge of evidence-based adaptation strategies that impact health;
• Support the use of innovative research approaches which incorporate quantitative and/or qualitative assessments to better understand the impact of climate adaptation strategies on health outcomes;
• Increase our understanding of the impacts of climate change adaptation on health among populations disproportionately impacted by climate change, including those in low- and middle-income countries (LMICs) and under-resourced and marginalized populations globally;
• Encourage use of implementation science methodologies to translate adaptation strategies promote the uptake, scale-up, and spread across different contexts; and
• Increase opportunities to strengthen climate and health research capacity and support scholars from LMICs to study climate adaptation and health and publish their results.

This project will contribute to building a solutions-oriented evidence base focused on the threats to health from global climate change. The overarching goal of this collection is to identify and understand current or historical climate adaptation strategies that address deteriorating health outcomes due to climate-led stressors, thereby contributing to the scientific evidence base on the topic. Accordingly, the collection will help identify research priorities and future research needs in this area.

Researchers, practitioners, and implementers from any country, especially LMICs, are encouraged to submit case study proposals by November 13, 2023 . The final collection of cases will include a variety of adaptation strategies focused on diverse health outcomes across different geographical areas, with special attention to adaptation strategies that focus on reducing the impacts of climate change on health among under-resourced and marginalized populations. A Steering Committee of experts in the field and CGHS staff will select 8-12 proposals to be developed into full case studies. CGHS will engage with leading climate and health-focused journals to explore the potential of publishing the selected case studies. Limited financial support may be available to support the development of the case studies (further details are included below).

Climate change has exacerbated health risks and adverse health outcomes that vary temporally and spatially. Existing evidence confirms an unprecedented rise in the incidence of climate-led stressors including, but not limited to, increased ambient temperatures, extreme and erratic precipitation, extreme weather events, sea level rise, wildfires, and desertification. These stressors have exacerbated exposure to conditions such as non-optimal temperatures (especially heat), reduced air quality, food and water systems disruption, migration and internal displacements, resource conflicts, disrupted healthcare systems, and changes in infectious agents. This has led to worsening public health outcomes such as premature mortality, heat-related illnesses, exacerbation of non-communicable diseases, increased vector-borne diseases, poor maternal and child health outcomes, malnutrition, and mental health consequences (see reference 2 ). Health inequities, primarily a function of social, political, economic, behavioral, and institutional factors, have further deteriorated due to climate change. There exists a broad consensus that adverse consequences for health are already occurring, with the greatest impacts affecting LMICs and communities who have been historically marginalized in places all around the globe. These climate shifts will continue to worsen in many places for decades to come. This calls for urgent attention to identify effective adaptation practices that can mitigate public health risks and consequences due to climate change in multiple geographical areas.

Adaptation and health outcomes

Adaptation is broadly defined by the Intergovernmental Panel on Climate Change (IPCC) as the process of adjustment to actual and potential climate-led impacts (see reference 3 ). Examples of adaptation strategies include, but are not limited to, heat-resistant crops, behavior change, effective climate communication and awareness building, green infrastructure, wetland restoration, coastal land preservation, health system resilience (both structural and functional), health workforce capacity-building, and microfinancing (see reference 4 and reference 5 ). While adaptation may not reduce the larger climate-led stressors, they tend to minimize the exposure pathways, thereby abating the adverse consequences of climate change on human and natural systems.

While many climate adaptation strategies are being developed and deployed globally, few are designed to directly address health outcomes. The selected case studies will offer new insights on: 1) adaptation strategies that appear particularly promising with respect to impact on health; 2) theoretical and methodological challenges in studying the impact of climate adaptation on health; 3) innovative research approaches and methods that can be deployed to study climate adaptation and health; 4) strategies to understand how and why adaptation interventions impact health; and 5) implementation science approaches to enable translation of adaptation strategies across different contexts, geographies, and areas of health.

Completed case studies will be made widely available to the public and will be disseminated to key stakeholders including academic researchers, funders, policymakers, and communities most impacted by climate change.

The overall objective of this project is to identify and understand current or historical adaptation responses that can be better harnessed to address deteriorating health outcomes using relevant and appropriate research approaches and methodologies. The specific aims of this collection of cases are to:

• Center the importance of examining the health as a critical outcome in the larger climate adaptation research and implementation agenda.
• Encourage scholars and funders to conduct and support more high-quality adaptation research as it relates to climate and health, especially in LMICs that are disproportionately impacted by climate change.
• Review current adaptation strategies to improve our understanding of adaptive capacity of populations most at risk of climate change impacts.
• Identify how and when the impact of climate-led adaptation responses on public health outcomes has been or can be assessed through research.

Submissions may utilize diverse approaches and methods, including, but not limited to, use of longitudinal data, a counterfactual and/or comparison area, qualitative research, community engaged/community based participatory research, and/or implementation science. Please note that this collection does not support primary data collection or human subjects research. Applicants may conduct analyses on previously collected data or previously completed research. They may also conduct interviews or focus group interviews as long as those activities do not constitute primary data collection or human subjects research.

Eligibility

This call is open to researchers, practitioners, and implementers from any country and applicants from LMICs ( as defined by the World Bank ) are especially encouraged to submit a proposal. Studies focusing on an LMIC must include an author from that country or region. Submissions are welcome from high-income countries (HICs), especially those that focus on marginalized populations and from authors underrepresented in biomedical and behavioral sciences. However, the collection will prioritize submissions focused on LMIC adaptations and climate health threats, written by authors from those countries and regions.

This call is not intended to support original research. Rather, applicants are invited to develop analytical case studies of climate change adaptation strategies that have already been deployed. However, strong case studies analyzing ongoing adaptation strategies may be considered if the deployment will be completed prior to the final submission deadline. Case studies may analyze adaptation strategies deployed by the applicants themselves or by carefully studying adaptation strategies deployed by others.

The application process involves two stages of submission. In the first stage, we welcome the submission of an application proposal as a Microsoft Word or PDF document (2 pages maximum, excluding the appendix). The application proposal must include the following components:

• Description of the geographical area where the adaptation strategy was deployed, and the demography of the populations studied.
• Description of the adaptation strategy and how it was implemented.
• Justification for the adaptation strategy, including any evidence to support its efficacy, how it is likely to address the problem under investigation, why it was chosen, etc.
• Discussion of climate-led stressors and exposure pathways related to the adaptation strategy.
• Discussion of the relevant health outcomes and how they were assessed.
• Description of the additional analyses to be undertaken by the submitting team to improve assessment of the health outcomes and or other variables associated with the adaptation strategy.
• Discussion of how the additional analysis this case study will contribute to understanding the scientific landscape, identifying gaps, and/or elucidating future research opportunities in the field.
• Source of the data to be used to construct the case study.
• Appendix 1 – Background and expertise of the authors contributing to the case study (1 paragraph for each author).
• Appendix 2 – CV (max. 2 pages) of the contributing authors.

In the second stage, selected application proposals will be invited to submit a complete case study. A draft framework for the case study is discussed below.

Case study format

• The abstract should include the following: background/context, approach, discussion, and lessons learned.
• Geographical area and the demography of target populations.
• Climate stressors experienced by the population and the exposure pathways.
• Adaptation strategy, how it was chosen, timeframe of implementation, and how it was implemented, (e.g., justification, multi-level and multi-sectoral adaptation approaches, level of adaptation taking place, sectors engaged, etc.).
• Summary of current health condition of the population with reference to the health outcomes of interest.
• Discuss whether and how communities were involved in the planning and implementation of the adaptation and/or their response to it.
• Discuss the study design, methods, measurements, and the justification of the selected approach to assessing the impact of adaptation responses on health outcomes for the case study.
• Discuss how the adaptation responses addressed the key health risks.
• Examine the role of multiple social, economic, behavioral, and institutional drivers in the community and how they interact with climate stressors, exposure pathways, and health outcomes.
• Examine the unintended consequences of adaptation responses on health outcomes (i.e., maladaptation).
• Discussion of how this case study contributes to understanding the scientific landscape, identifying gaps, and/or elucidating future research opportunities in the field.
• Examine how the adaptation strategies discussed are relevant/applicable to different countries and contexts.
• Share key lessons learned by the team throughout the process.
• Discuss key challenges in developing the case study to examine the impact of climate change adaptation on health outcomes.
• Share insights on scientific workforce capacity needed to conduct adaptation research.
• Future directions including key remaining challenges/unmet needs.

Selection process and criteria

Applications will be distributed to the Steering Committee and reviewed based on the following criteria:

• Scientific and public health relevance of the case study.
• Innovative and scientific approach used to develop the case study.
• Case study location (preference will be given to locations that are underrepresented in the literature, e.g., LMICs).
• Extent to which the proposal discusses specific health impacts associated with the adaptation strategy.
• Focus on underrepresented, under-resourced, marginalized, and at-risk populations.
• Extent to which the case study discusses a specific climate change adaptation measure(s) or strategy addressing a specific climate hazard.
• Relevance of case study to future research and priority areas within the climate change and health landscape.
• Diversity of the submitting authors in terms of geographic locations, interdisciplinarity of teams, areas of expertise (preference will be given to authors under-represented in the field, e.g., authors from LMICs).

The Steering Committee and CGHS staff will ultimately select 8-12 application proposals to be developed into full case studies. This selection will be made with the goal of creating a diverse collection based on the geographic location of the case study, the geographic locations of authors and their institutions, adaptation strategies described, relevant climate stressors and exposure pathways, and health outcomes assessed.

Financial support

Updated September 20, 2023

Limited financial support is available for costs associated with developing and writing a case study for this project. Eligible costs include part-time salary support for a research assistant (e.g., an intern, student, or analyst) and/or limited travel/meeting expenses. Funds may NOT be used for primary research or for the development, deployment, or testing of an adaptation strategy. Use of these funds is subject to NIH approval. Maximum costs that can be requested per case study are $15,000, inclusive of indirect costs. All publication costs, including open access fees, will be separately covered by NIH. Questions regarding how these funds can be used should be emailed to [email protected] .

Use and dissemination

CGHS will work with a leading climate and health-focused, open-access and peer-reviewed journal(s) to explore publication of these case studies. If accepted for publication, the authors will work with CGHS to adjust the structure of the case studies to suit the journal's format. All publication costs, including open access fees, will be separately covered by NIH.

The final collection of cases may also be used as a compilation of white papers, policy briefs, or education tools. There may be future opportunities to present the case study as part of a webinar series or at relevant conferences.

Proposed timeline

• Call for case studies issued: August 14, 2023
• Application proposal due: November 13, 2023
• Steering Committee review and response to application proposals: January 2024
• Draft of complete case studies due to CGHS: May 2024
• Review by Steering Committee: June 2024
• Final draft of case study submitted to journal: August 2024

This is a tentative timeline and is subject to change.

Instructions for submission

Please submit your proposal in two parts:

• Complete an online form with basic information about the submitting team and the case study at this link: https://forms.office.com/g/10r9wRQMjJ
• Send an email to [email protected] with the lead submitter’s surname and the title of the application proposal in the subject of the email (e.g., Einstein_Theory of Relativity). Attach one file that includes your application proposal and the Appendix materials (e.g., CV for each team member) as an attached Microsoft Word or PDF document.

By submitting an application, an applicant affirms their ability and commitment to completing a case study within the specified timeline. They affirm the inclusion of their case study in any and all resulting deliverables, whether online or in print.

Please send questions by email to [email protected] .

• Song, J.W. and K.C. Chung, Observational Studies: Cohort and Case-Control Studies . Plastic and reconstructive surgery, 2010. 126 (6): p. 2234-2242.
• Hess, J.J., et al., An evidence-based public health approach to climate change adaptation . Environmental Health Perspectives, 2014. 122 (11): p. 1177-1186.
• Sharma, J. and N.H. Ravindranath, Applying IPCC 2014 framework for hazard-specific vulnerability assessment under climate change . Environmental Research Communications, 2019. 1 (5): p. 051004.
• Scheelbeek, P.F., et al., The effects on public health of climate change adaptation responses: a systematic review of evidence from low-and middle-income countries . Environmental Research Letters, 2021. 16 (7): p. 073001.
• Bryan, E., et al., Can agriculture support climate change adaptation, greenhouse gas mitigation and rural livelihoods? insights from Kenya . Climatic Change, 2013. 118 (2): p. 151-165.

Updated December 7, 2023

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Salata Institute Funds Eight New Climate Research Projects 

The Salata Institute Seed Grant Program supports new research, encourages new interdisciplinary partnerships, and enables faculty whose work is not normally in climate and sustainability to apply their expertise to the climate challenge. With the addition of these eight awards, the Salata Institute now supports 27 research projects on understudied and emerging climate topics through this program. 

This program is part of the Salata Institute’s aggressive efforts to expand climate and sustainability research at Harvard University. Since its launch in June 2022, the Institute has awarded over $8.68M in climate and sustainability research funding, supporting the work of 62 faculty from across Harvard University.  

Harvard faculty members interested in the Salata Institute Seed Grant Program, which is supported by a gift from the Troper Wojcicki Foundation, can access the current call for proposals here to learn more about the program. Applications for the Salata Institute Seed Grant Program will be considered three times per year, with deadlines of the second Friday of January, May, and September. 

Direct Air Capture of CO2: Redox-Mediated Salt Splitting  

Principal Investigator: Michael Aziz, Gene and Tracy Sykes Professor of Materials and Energy Technologies, Harvard John A. Paulson School of Engineering and Applied Sciences  

Despite global efforts, the world is not yet on track to reduce greenhouse gas emissions enough to avert some of the harshest climate change scenarios. In some regions and sectors of the economy, emissions reductions could take decades to materialize. Direct Air Capture (DAC), or the removal of carbon dioxide directly from the air, could work in tandem with emissions reductions to stem climate risks. But current DAC technology can be energy-intensive and expensive, making it difficult or impossible to scale to the degree needed to have a meaningful climate benefit. 

With seed grant funding from the Salata Institute, researchers led by Principal Investigator Michael Aziz will develop a novel electrochemical process, known as redox-mediated salt splitting (RMSS). The researchers envision this process as the centerpiece of a new chemical cycle for the capture and removal of carbon dioxide from the air. “The proposed electrochemical process holds promise as a platform for scalable carbon dioxide capture operating in a continuous cycle, based on entirely sustainable and non-critical materials, powered by potentially inexpensive carbon-free electricity,” said Aziz.  

The seed grant award will support researchers as they work toward a successful demonstration of RMSS at the lab-scale proof-of-concept stage.  

Quantifying the Magnitude of Zoogeochemical Effects on Vegetation Carbon Stocks  

Principal Investigator: Andrew Davies, Assistant Professor of Organismic and Evolutionary Biology, Harvard University  

Currently, most regional and global carbon cycle models – models that are important to our understanding of the trajectory of climate change – leave animals out of the picture. But researchers in the emerging field of zoogeochemistry point out that animals play a critical role in shaping carbon cycles. Take elephants, for example. “Many tree species in Congo forests rely exclusively on forest elephants to disperse seeds over long distances or to locations favorable for germination,” said Davies. “These tree species have large fruits and seeds that can only be handled by elephants, and become tall, large-diameter trees with high carbon storage.” 

Leaving animals out of carbon cycle models can contribute to uncertainties about the role animals could play in natural climate solutions. 

With seed grant funding from the Salata Institute, Principal Investigator Andrew Davies will seek to uncover the role of critically endangered African forest elephants, Loxodonta cyclotis , in determining the amount of carbon that can be stored in vegetation in the Congo Basin. Davies looks to use field plots, Unoccupied Aerial Vehicle-Light Detection and Ranging (UAV-LiDAR) and satellite data combined with forest elephant distribution data and abiotic (climate, geology and elevation) variables to disentangle the role of forest elephants as drivers of spatial variation in aboveground carbon stocks (ACS).  

The Changing Composition of Soil Carbon Inputs: Root Exudate Responses to Climate Change  

Principal Investigator: Benton Taylor, Assistant Professor, Department of Organismic & Evolutionary Biology, Harvard University  

The natural ability of soils to store carbon is one of the most important stages of the global carbon cycle and will play a key role in future climate change mitigation. Root exudates – organic compounds like amino acids and simple sugars secreted from roots into the soil – account for 20% of below-ground carbon allocation. Climate change is having a dramatic impact on this process. Yet most research has focused on how rising atmospheric carbon dioxide is changing exudation rates, rather than changes to the chemical composition of exudates. 

“In recent work, we have shown that differences between common exudate compounds have a larger effect on stable soil carbon formation than even a five-fold change in the amount of exudation. As we develop models of soil carbon dynamics under future climate scenarios, it is critical we consider exudate chemistry,” said Taylor.   

To prepare a proposal for a large-scale study on how climate change will impact the composition of exudates, Taylor will use a Salata Institute seed grant to collect the first data on changing exudate chemistry from in-situ, large-scale global change experiments ongoing in Minnesota and Illinois.  

Adaptive Climate Migration: A Case Study of Resettlement from the Solomon Islands to Canada  

Principal Investigator: Hannah Teicher, Assistant Professor of Urban Planning, Department of Urban Planning and Design, Harvard University Graduate School of Design  

By 2050, the current numbers of climate-related migrants will swell, with estimates ranging from 25 million to 1.2 billion. 

Climate migrants tend to experience a host of negative impacts as they relocate, from declining mental and physical health to the loss of livelihoods. A comprehensive, formal strategy to facilitate climate-related relocation could enhance the well-being of climate migrants and even improve community adaptation.  

But formal recognition of climate migrants as a distinct immigrant or refugee category with its own set of policies and programmatic responses would raise complex challenges and a host of questions: Who qualifies? How would places be deemed uninhabitable? Can current legal frameworks, such as the 1951 Convention on Refugees, be expanded without exacerbating anti-immigrant sentiment?   

“In the context of current migration law, crossing international borders due to climate-related events leaves migrants in legal and administrative limbo. With each passing year of record-breaking climate impacts, filling these institutional and legal gaps takes on greater urgency,” said Teicher.  

With seed grant funding from the Salata Institute, Principal Investigator Hannah Teicher, alongside Co-Principal Investigator Michael Hooper, will study a pilot program in British Columbia that is facilitating migration from the low-lying Solomon Islands. The study will entail semi-structured interviews over the summer of 2024 with three groups: Solomon Islanders relocating to Canada; decision-makers at resettlement-related NGOs and public agencies in Canada; and provincial and federal policymakers with an interest in revising climate migration policy. The researchers intend the findings to inform policy agendas and lay the foundation for more extensive comparative international research on climate-related migration and resettlement.  

Climate Change and Volatility in Food Supply: A New Workshop  

Principal Investigator: Peter Huybers, Department Chair, Professor of Earth and Planetary Sciences, Harvard University  

Between 1950 and the early 2010s, something remarkable happened: despite a tripling of the human population, the number of people without enough to eat was falling. Over the past decade, that trend has reversed.  Rising food insecurity, driven by many intersecting trends, accelerated during the COVID19 pandemic.  

Looking to the future, the potential for increasingly frequent and severe heat waves, sunlight, flood, and drought variations may lead to more frequent and intense food shocks.  The joint and interacting influence of these climatic factors, however, has never been empirically estimated at the global scale, in part due to data constraints. Similarly, the degree to which farmers have adapted to these individual and interacting shocks is, surprisingly, unknown at the global scale. Together, this leaves large uncertainties in the effect of climate change on future food supply and food security.   

With seed grant funding from the Salata Institute, Peter Huybers and Missy Holbrook are convening a workshop focused on acquiring and deploying the necessary data to better understand the implications of climate change for food production. 

A Meeting of the Macroeconomics Minds on Climate  

Principal Investigator: Adrien Bilal, Assistant Professor of Economics, Harvard University     The scale of climate change and the transition to a decarbonized economy raises important questions for macroeconomists. Among the questions that demand a closer look are: What are the economic consequences of climate change and extreme events? How will the comparative advantages of sectors, regions and firms in energy use and generation shift and interact with the climate?    With seed grant funding from the Salata Institute, Adrien Bilal, Assistant Professor of Economics at Harvard University, will host a new workshop to bring together macroeconomists considering these and other climate policy and traditional macroeconomic policy questions. At the workshop, taking place in April at Harvard University, researchers will discuss the current research and ways macroeconomists can strengthen and improve the response to climate change, both by society broadly and, more narrowly, by those responsible for climate policy and traditional macroeconomic policy. 

International Workshop on Climate-Resilient Development in Southeast Asia  

Principal Investigator: Michael McElroy, Gilbert Butler Professor of Environmental Studies,  

Harvard Paulson School of Engineering & Applied Sciences (SEAS) and FAS Department of Earth and Planetary Sciences, Harvard University  

Climate change is projected to cause growing loss and damage to societies around the world in the near future, even if current mitigation goals are met. How to maintain and enhance “climate resilience” – the capacity of socio-ecosystems to survive and develop in a changing climate – is of utmost importance.  

Countries in Southeast Asia are developing social and economic systems and building capacity to cope with global warming and the possibility of a climate “overshoot” (a scenario in which the world warms by greater than 1.5 degrees Celsius for some period). Yet several important knowledge gaps persist. Harvard researchers point to a geographical bias to study resilience in big cities and coastal areas; a lack of focus on connections between climate resilience and environmental health; a lack of modeling in developing contexts; and a failure to reconcile the scientific drivers of climate change with planning on how to effectively deliver assistance.  

With seed grant funding from the Salata Institute, Principal Investigator Michael McElroy along with Co-Principal Investigators Dr. Michael VanRooyen and Liang Emlyn Yang will host a two-day workshop in July to promote research exchange among scholars and inform climate resilient development pathways in Southeast Asia.  

“Promoting climate-resilient development is a key priority in fields like civil protection, urban planning, health care and others. This workshop will bring together a diversity of regions, disciplines, methodologies, and scholars at varying career stages to foster international climate resilience research,” said McElroy.  

African Perspectives on International Climate Law – A Symposium  

Principal Investigator: Gerald Neuman, J. Sinclair Armstrong Professor of International, Foreign, and Comparative Law, Harvard Law School; Director, Human Rights Program, Harvard Law School  

The number of climate change-related judicial proceedings has increased 2.5-fold globally since 2017. Against the backdrop of ineffective political negotiations, litigation with potentially far-reaching implications on the obligations of states will have bearings on overlapping legal fields including environmental law, law of the sea, trade and investment law, human rights law and, more broadly, the law of state responsibility.  

Yet African perspectives, while crucial and having the potential to shape the world’s response to climate change, are at risk of being overlooked in global norm-making processes due to pre-existing power structures.   

With seed grant funding from the Salata Institute, the Human Rights Program at Harvard Law School launched a project that solicits and addresses African perspectives on international and regional legal and policy debates on climate change.  

“In light of the climate change threats in Africa, and the historic underrepresentation of African voices in the development of international law, it is important to work out African perspectives on global developments in climate change law in a way that takes into account regional, sub-regional, state, and local differences,” said Principal Investigator Gerald Neuman, who is working alongside Co-Principal Investigators Alicia Ely Yamin and Abadir M. Ibrahim.  

Consisting of a series of symposia and publications, the project explores African contributions to what can be described as a transnational normative dialogue on international climate law and overlapping legal fields. 

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Advancing the Science of Climate Change (2010)

Chapter: 4 integrative themes for climate change research, chapter four integrative themes for climate change research.

O ne of the main tasks assigned to the Panel on Advancing the Science of Climate Change was to identify the additional science needed to improve our understanding of climate change and its interactions with human and environmental systems, including the scientific advances needed to improve the effectiveness of actions taken to respond to climate change. An examination of the research needs identified in the technical chapters of Part II of the report reveals that there is indeed still much to learn. However, our analysis suggests that the most crucial research needs of the coming decades can be captured in seven crosscutting research themes, whether one is interested in sea level rise, agriculture, human health, national security, or other topics of concern. For example, nearly every chapter in Part II calls for improved understanding of human behaviors and institutions, more detailed information about projected future changes in climate, and improved methods for assessing the economic, social, and environmental costs, benefits, co-benefits, and unintended consequences of actions taken in response to climate change.

Box 4.1 lists the seven crosscutting research themes that the panel has identified, grouped into three general categories: research for improving understanding of coupled human-environment systems, research for improving and supporting more effective responses to climate change, and tools and approaches needed for both of these types of research. These seven crosscutting themes are not intended to represent a comprehensive or exclusive list of research needs, nor do the numbers indicate priority order. Rather, they represent a way of categorizing and, potentially, organizing some of the nation’s most critical climate change research activities. Most of these themes are integrative—they require collaboration across different fields of study, including some fields that are not typically part of the climate change science enterprise. Moreover, there are important synergies among the seven themes, and they are not completely independent. For example, research focused on improving responses to climate change will clearly benefit from increased understanding of both human systems and the Earth system, and advances in observations, models, and scientific understanding often go hand in hand. Finally, because most of the themes include research that contributes both to fundamental scientific understanding and to more informed decision making, research under all seven themes would benefit from

increased dialogue with decision makers across a wide range of sectors and scales. As discussed in Chapter 5 , these characteristics all point to the need for an expanded and enhanced climate change science enterprise—an enterprise that is comprehensive, integrative, interdisciplinary, and better supports decision making both in the United States and around the world.

In the following sections, the seven integrative, crosscutting research themes identified by the panel are discussed in detail. Our intent is to describe some of the more important scientific issues that could be addressed within each theme, to show how they collectively span the most critical areas of climate change research, and to demonstrate the vital importance of research progress in all of these areas to the health and well-being of citizens of the United States as well as people and natural systems around the world. Issues related to the implementation of these themes are explored in the next chapter.

THEME 1: CLIMATE FORCINGS, FEEDBACKS, RESPONSES, AND THRESHOLDS IN THE EARTH SYSTEM

Scientific understanding of climate change and its interactions with other environmental changes is underpinned by empirical and theoretical understanding of the Earth system, which includes the atmosphere, land surface, cryosphere, and oceans,

as well as interactions among these components. Numerous decisions about climate change, including setting emissions targets and developing and implementing adaptation plans, rest on understanding how the Earth system will respond to greenhouse gas (GHG) emissions and other climate forcings. While this understanding has improved markedly over the past several decades, a number of key uncertainties remain. These include the strength of certain forcings and feedbacks, the possibility of abrupt changes, and the details of how climate change will play out at local and regional scales over decadal and centennial time scales. While research on these topics cannot be expected to eliminate all of the uncertainties associated with Earth system processes (and uncertainties in future human actions will always remain), efforts to improve projections of climate and other Earth system changes can be expected to yield more robust and more relevant information for decision making, as well as a better characterization of remaining uncertainties.

Research on forcing, feedbacks, thresholds, and other aspects of the Earth system has been ongoing for many years under the auspices of the U.S. Global Change Research Program (USGCRP) and its predecessors (see Appendix E ). Our analysis—the details of which can be found in Part II of the report—indicates that additional research, supported by expanded observational and modeling capacity, is needed to better understand climate forcings, feedbacks, responses, and thresholds in the Earth system. A list of some of the specific research needs within this crosscutting theme is included in Table 4.1 , and the subsections below and the chapters of Part II include additional discussion of these topics. Many of these needs have also been articulated, often in greater detail, in a range of recent reports by the USGCRP, the National Research Council, federal agencies, and other groups.

Climate Variability and Abrupt Climate Change

Great strides have been made in improving our understanding of the natural variability in the climate system (see, e.g., Chapter 6 of this report and USGCRP, 2009b). These improvements have translated directly into advances in detecting and attributing human-induced climate change, simulating past and future climate in models, and understanding the links between the climate system and other environmental and human systems. For example, the ability to realistically simulate natural climate variations, such as the El Niño-Southern Oscillation, has been a critical driver for, and test of, the development of climate models (see Theme 7 ). Improved understanding of natural variability modes is also critical for improving regional climate projections, especially on decadal time scales. Research on the impacts of natural climate variations can also provide insight into the possible impacts of human-

TABLE 4.1 Examples of Research Needs Related to Improving Fundamental Understanding of Climate Forcings, Feedbacks, Responses, and Thresholds in the Earth System

induced climate change. Continued research on the mechanisms and manifesta-mechanisms and manifestations of natural climate variability in the atmosphere and oceans on a wide range of space and time scales, including events in the distant past, can be expected to yield, can be expected to yield additional progress.

Some of the largest risks associated with climate change are associated with the potential for abrupt changes or other climate “surprises” (see Chapters 3 and 6 ). The paleoclimate record indicates that such abrupt changes have occurred in the past, but our ability to predict future abrupt changes is constrained by our limited understand-

ing of thresholds and other nonlinear processes in the Earth system. An improved understanding of the likelihood and potential consequences of these changes will be important for setting GHG emissions-reduction targets and for developing adaptation strategies that are robust in the face of uncertainty. Sustained observations will be critical for identifying abrupt changes and other climate surprises if and when they occur, and for supporting the development of improved abrupt change simulations in climate models. Finally, since some abrupt changes or other climate surprises may result from complex interactions within or among different components of coupled human-environment systems, improved understanding is needed on multiple stresses and their potential role in future climate shifts (NRC, 2002a).

Improved understanding of forcings, feedbacks, and natural variability on regional scales is also needed. Many decisions related to climate change impacts, vulnerability, and adaptation could benefit from improvements in regional-scale information, especially over the next several decades. As discussed in Theme 7 , these improvements require advances in understanding regional climate dynamics, including atmospheric circulation in complex terrain as well as modes of natural variability on all time scales. It is especially important to understand how regional variability patterns may change under different scenarios of global climate change and the feedbacks that regional changes may in turn have on continental- and global-scale processes. Regional climate models, which are discussed later in this chapter, are a key tool in this area of research.

The Atmosphere

Many research needs related to factors that influence the atmosphere and other components of the physical climate system are discussed in the chapters of Part II , and many of these needs have also been summarized in other recent reports. For example, many of the conclusions and research recommendations in Understanding Climate Change Feedbacks (NRC, 2003b) and Radiative Forcing of Climate Change (NRC, 2005d), such as those highlighted in the following two paragraphs, remain highly relevant today:

The physical and chemical processing of aerosols and trace gases in the atmosphere, the dependence of these processes on climate, and the influence of climate-chemical interactions on the optical properties of aerosols must be elucidated. A more complete understanding of the emissions, atmospheric burden, final sinks, and interactions of carbonaceous and other aerosols with clouds and the hydrologic cycle needs to be developed. Intensive regional measurement campaigns (ground-based, airborne, satellite) should be con-

ducted that are designed from the start with guidance from global aerosol models so that the improved knowledge of the processes can be directly applied in the predictive models that are used to assess future climate change scenarios.

The key processes that control the abundance of tropospheric ozone and its interactions with climate change also need to be better understood, including but not limited to stratospheric influx; natural and anthropogenic emissions of precursor species such as NO x , CO, and volatile organic carbon; the net export of ozone produced in biomass burning and urban plumes; the loss of ozone at the surface, and the dependence of all these processes on climate change. The chemical feedbacks that can lead to changes in the atmospheric lifetime of CH 4 also need to be identified and quantified. (NRC, 2003b)

Two particularly important—and closely linked—research topics related to forcing and feedback processes in the physical climate system are clouds and aerosols. Aerosols and aerosol-induced changes in cloud properties play an important role in offsetting some of the warming associated with GHG emissions and may have important implications for several proposed strategies for limiting the magnitude of climate change (see Theme 4 ). Cloud processes modulate future changes in temperature and in the hydrologic cycle and thus represent a key feedback. As noted later in this chapter, the representation of cloud and aerosol processes in climate models has been a challenge for many years, in part because some of the most important cloud and aerosol processes play out at spatial scales that are finer than global climate models are currently able to routinely resolve, and in part because of the complexity and limited understanding of the processes themselves. Continued and improved observations, field campaigns, process studies, and experiments with smaller-domain, high-resolution models are needed to improve scientific understanding of cloud and aerosol processes, and improved parameterizations will be needed to incorporate this improved understanding into global climate models.

The Cryosphere

Changes in the cryosphere, especially the major ice sheets on Greenland and Antarctica, represent another key research area in the physical climate system. Comprehensive, simultaneous, and sustained measurements of ice sheet mass and volume changes and ice velocities are needed, along with measurements of ice thickness and bed conditions, both to quantify the current contributions of ice sheets to sea level rise (discussed below) and to constrain and inform ice sheet model development. These measurements, which include satellite, aircraft, and in situ observations, need

to overlap for several decades in order to enable the unambiguous isolation of ice melt, ice dynamics, snow accumulation, and thermal expansion. Equally important are investments in improving ice sheet process models that capture ice dynamics as well as ice-ocean and ice-bed interactions. Efforts are already underway to improve modeling capabilities in these critical areas, but fully coupled ice-ocean-land models will ultimately be needed to reliably assess ice sheet stability, and considerable work remains to develop and validate such models. Glaciers and ice caps outside Greenland and Antarctica are also expected to remain significant contributors to sea level rise in the near term, so observations and analysis of these systems remain critical for understanding decadal and century-scale sea level rise. Finally, additional paleoclimate data from ice cores, corals, and ocean sediments would be valuable for testing models and improving our understanding of the impacts of sea level rise.

A variety of ocean processes are important for controlling the timing and characteristics of climate change. For a given climate forcing scenario, the timing of atmospheric warming is strongly dependent on the north-south transport of heat by ocean currents and mixing of heat into the ocean interior. Changes in the large-scale meridional overturning circulation could also have a significant impact on regional and global climate and could potentially lead to abrupt changes (Alley et al., 2003; NRC, 2002a). The relative scarcity of ocean observations, especially in the ocean interior, makes these factors among the more uncertain aspects of future climate projections. Changes in ocean circulations and heat transport are also connected to the rapid disappearance of summer sea ice in the Arctic Ocean. A better understanding of the dependence of ocean heat uptake on vertical mixing and the abrupt changes in polar reflectivity that follow the loss of summer sea ice in the Arctic are some of the most critical improvements needed in ocean and Earth system models.

Ice dynamics and thermal expansion are the main drivers of rising sea levels on a global basis, but ocean dynamics and coastal processes lead to substantial spatial variability in local and regional rates of sea level rise (see Chapters 2 and 7 ). Direct, long-term monitoring of sea level and related oceanographic properties via tide gauges, ocean altimetry measurements from satellites, and an expanded network of in situ measurements of temperature and salinity through the full depth of the ocean water column are needed to quantify the rate and spatial variability of sea level change and to understand the ocean dynamics that control global and local rates of sea level rise. In addition, oceanographic, geodetic, and coastal models are needed to predict the rate and spatial dynamics of ocean thermal expansion, sea level rise, and coastal

inundation. The need for regionally specific information creates additional challenges. For example, coastal inundation models require better bathymetric data, better data on precipitation rates and stream flows, ways of dealing with storm-driven sediment transport, and the ability to include the effects of built structures on coastal wind stress patterns (see Chapter 7 ). Such improvements in projections of sea level changes are critical for many different decision needs.

The Hydrosphere

There is already clear evidence that changes in the hydrologic cycle are occurring in response to climate change (see, e.g., Trenberth et al., 2007; USGCRP, 2009a). Improved regional projections of changes in precipitation, soil moisture, runoff, and groundwater availability on seasonal to multidecadal time scales are needed to inform water management and planning decisions, especially decisions related to long-term infrastructure investments. Likewise, projections of changes in the frequency and intensity of severe storms, storm paths, floods, and droughts are critical both for water management planning and for many adaption decisions. Developing improved understanding and projections of hydrological and water resource changes will require new multiscale modeling approaches, such as nesting cloud-resolving climate models into regional weather models and then coupling these models to land surface models that are capable of simulating the hydrologic cycle, vegetation, multiple soil layers, groundwater, and stream flow. Improved data collection, data analysis, and linkages with water managers are also critical. See Chapter 8 for additional details.

Ecosystems on Land

Climate change interacts with ecosystem processes in a variety of ways, including direct and indirect influences on biodiversity, range and seasonality shifts in both plants and animals, and changes in productivity and element cycling processes, among others (NRC, 2008b). Research is needed to understand how rapidly species and ecosystems can or cannot adjust in response to climate-related changes and to understand the implications of such adjustments for ecosystem services. In addition, improved analyses of the interactions of climate-related variables—especially temperature, moisture, and CO 2 —with each other and in combination with other natural and human-caused changes (e.g., land use change, water diversions, and landscape-scale management choices) are needed, as such interactions are more relevant than any individual change acting alone. Climate change-related changes in fire, pest, and other disturbance regimes have also not been well assessed, especially at regional scales.

Research is needed to identify the ecosystems, ecosystem services, species, and people reliant on them that are most vulnerable. See Chapter 9 for additional details.

The Carbon Cycle

Changes in the carbon cycle and other biogeochemical cycles play a key role in modulating atmospheric and oceanic concentrations of CO 2 and other GHGs. Scientists have learned a great deal over the past 50 years about the exchange of carbon between the atmosphere, ocean, and biosphere and the effects of these changes on temperature and other climate change (CCSP, 2007a). However, key uncertainties remain. For example, we have an incomplete understanding of how interacting changes in temperature, precipitation, CO 2 , and nutrient availability will change the processing of carbon by land ecosystems and, thus, the amount of CO 2 emitted or taken up by ecosystems in the decades ahead (see Chapter 9 ). As noted in Chapters 2 and 6 , some of these feedbacks have the potential to dramatically accelerate global warming (e.g., the possibility that the current warming of permafrost in high-latitude regions will lead to melting of frozen soils and release huge amounts of CO 2 and CH 4 into the atmosphere). Changes in biogeochemical processes and biodiversity (including changes in reflectance characteristics due to land use changes) also have the potential to feed back on the climate system on a variety of time scales. Models and experiments that integrate knowledge about ecosystem processes, plant physiology, vegetation dynamics, and disturbances such as fire are needed, and such models should be linked with climate models.

As the ocean warms and ocean circulation patterns change, future changes in the ocean carbon cycle are also uncertain. For example, it is unclear whether the natural “biological pump,” which transports enormous amounts of carbon from the surface to the deep ocean, will be enhanced (Riebesell et al., 2007) or diminished (Mari, 2008) by ocean acidification and by changes in ocean circulation. Recent observational and modeling results suggest that the rate of ocean uptake of CO 2 may in fact be declining (Khatiwala et al., 2009). Because the oceans currently absorb over 25 percent of human-caused CO 2 emissions (see Chapter 6 ), changes in ocean CO 2 uptake could have profound climate implications. Results from the first generation of coupled carbon-climate models suggest that the capacity of the oceans and land surface to store carbon will decrease with global warming, which would represent a positive feedback on warming (Friedlingstein et al., 2006). Improved understanding and representation of the carbon cycle in Earth system models is thus a critical research need.

Interactions with Managed Systems and the Built Environment

Feedbacks and thresholds within human systems and human-managed systems, and between the climate system and human systems, are a closely related research need that spans both this research theme and several of the other research themes described in this chapter. For example, crops respond to multiple and interacting changes in temperature, moisture, CO 2 , ozone, and other factors, such as pests, diseases, and weeds. Experimental studies that evaluate the interactions of multiple factors are needed, especially in ecosystem-scale experiments and in environments where temperature is already close to optimal for crops. Of particular concern are water resources for agriculture, which are influenced at regional scales by competition from other uses as well as by changing frequency and intensity of rainfall. Assessments that evaluate crop response to climate-related variables should explicitly include interactions with other resources that are also affected by climate change. Designing effective agricultural strategies for limiting and adapting to climate change will require models and analyses that reflect these complicated interactions and that also incorporate the response of farmers and markets not only to production and prices but to policies and institutions (see Themes 3, 4, and 7 below).

In fisheries, sustainable yields require matching catch limits with the growth of the fishery. Climate variability already makes forecasting the growth of fish populations difficult, and future climate change will increase this uncertainty. There is considerable uncertainty about—and considerable risk associated with—the sensitivity of fish species to ocean acidification. Further studies of connections between climate and marine population dynamics are needed to enhance model frameworks for effective fisheries management. Most fisheries are also subject to other stressors, such as increasing levels of pollution, and the interactions of these other stresses should be analyzed and incorporated into models. Finally, all of these efforts should be linked to the analysis of effective institutions and policies for managing fisheries. (See Chapter 9 for additional details of links between climate change and agriculture and fisheries.)

The role of large built environments (including the transportation and energy systems associated with them) in shaping GHG emissions, aerosol levels, ground-level air pollution, and surface reflectivity need to be examined in a systematic and comparative way to develop a better understanding of their role in climate forcing. This should include attention to the extended effect of urban areas on other areas (such as deposition of urban emissions on ocean and rural land surfaces) as well as interactions between urban and regional heat islands and urban vegetation-evapotranspiration feedbacks to climate. Examination of both local and supralocal institutions, markets, and policies will be required to understand the various ways urban centers drive

climate change and to identify leverage points for intervention. (See Chapter 10 and Theme 4 later in this chapter for additional details.)

Finally, the identification and evaluation of unintended consequences of proposed or already-initiated strategies to limit the magnitude of climate change or adapt to its impacts will need to be evaluated as part of the overall evaluation of the efficacy of such approaches. This topic is explored in more detail later in the chapter, but it depends on a robust Earth system research enterprise.

THEME 2: CLIMATE-RELATED HUMAN BEHAVIORS AND INSTITUTIONS

Knowledge gained from research involving physical, chemical, and ecological processes has been critical for establishing that climate change poses sufficiently serious risks to justify careful consideration and evaluation of alternative responses. Emerging concerns about how best to respond to climate change also bring to the fore questions about human interactions with the climate system: how human activities drive climate change; how people understand, decide, and act in the climate context; how people are affected by climate change; and how human and social systems might respond. Thus, not surprisingly, many of the research needs that emerge from the detailed analyses in Part II focus on human interactions with climate change (see Table 4.2 ).

Human and social systems play a key role in both causing and responding to climate change. Therefore, in the context of climate change, a better understanding of human behavior and of the role of institutions and organizations is as fundamental to effective decision making as a better understanding of the climate system. Such knowledge underlies the ability to solve focused problems of climate response, such as deciding how to prioritize investments in protecting coastal communities from sea level rise, choosing policies to meet federal or state targets for reducing GHG emissions, and developing better ways to help citizens understand what science can and cannot tell them about potential climate-driven water supply changes. Such fundamental understanding provides the scientific base for making informed choices about climate responses in much the same way that a fundamental understanding of the physical climate system provides the scientific base for projecting the consequences of climate change.

Research investments in the behavioral and social sciences would expand this knowledge base, but such investments have been lacking in the past (e.g., NRC, 1990a, 1999a, 2003a, 2004b, 2005a, 2007f, 2009k). Barriers and institutional factors, both in research funding agencies and in academia more broadly, have also constrained progress in

TABLE 4.2 Examples of Research Needs on Human Behavior, Institutions, and Interactions with the Climate System (from Part II )

these areas (NRC, 1992a). This section outlines some of the key areas of fundamental research on human behavior and institutions that need to be developed to support better understanding of human interactions with the climate system and provide a scientific basis for informing more effective responses to climate change. It draws on several past analyses and assessments of research gaps and needs (NRC, 1992a, 1997a, 2001, 2002b, 2005a, 2009g, 2009k).

How People Understand Climate Change and Climate Risks

Climate change represents a special challenge for human comprehension (Fischhoff, 2007; Marx and Weber, 2009). To make decisions about climate change, a basic understanding of the processes of climate change and of how to evaluate the associated risks and potential benefits would be helpful for most audiences. However, despite several decades of exposure to information about climate change, such understanding is still widely lacking. A number of recent scientific analyses (Leiserowitz, 2007; Maibach et al., 2010; Moser and Tribbia, 2006, 2007; Wilson, 2002; see also NRC, 2010b) have identified some of the comprehension challenges people—including both the general public and trained professional in some fields—face in making decisions about how to respond to climate change.

First, because of the inherent uncertainties, projections of future climate change are often presented in terms of probabilities. Cognitive studies have established that humans have difficulty in processing probabilistic information, relying instead on cogni-

tive shortcuts that may deviate substantially from what would result from a careful analysis (e.g., Gigerenzer, 2008; Nichols, 1999).

Second, the time scale of climate change makes it difficult for most people to observe these changes in their daily lives. Climate change impacts are not yet dramatically noticeable in the most populated regions of the United States, and even rapid climate change takes place over decades, making it difficult for people to notice unless they look at historical records (Bostrom and Lashof, 2007; Moser, 2010). Scientists are only beginning to understand how recent and longer-term trends in weather influence perceptions of climate change (Hamilton and Keim, 2009; Joireman et al., in press). It is also difficult to unambiguously attribute individual weather events to climate change, and climate change is easily displaced by events people perceive as exceptional or simply as more important at any one time (Fischhoff, 2007; Marx and Weber, 2009; Marx et al., 2007; Weber, 2006).

Third, people commonly use analogies, associations, or simplified mental models to communicate or comprehend climate change, and these simplifications can result in significant misunderstandings. For example, climate change is sometimes confused with other types of pollution or with other global atmospheric problems (especially the stratospheric ozone “hole,” which some people erroneously think leads to global warming by allowing more solar radiation to enter the atmosphere) (Bostrom et al., 1994; Brechin, 2003; Kempton, 1991). Likewise, confusing the atmospheric lifetimes of GHGs with those of conventional air pollutants sometimes leads people to the erroneous inference that if emissions stop, the climate change problem will rapidly go away (Bostrom and Lashof, 2007; Morgan et al., 2001; Sterman, 2008; Sterman and Booth Sweeney, 2007).

Fourth, individual information processing is influenced by social processes, including the “frames” people apply when deciding how to assess new information, the trust they have in sources providing new information, and the views of those to whom they are connected in social networks (Durfee, 2006; Morgan et al., 2001; Moser and Dilling, 2007; Nisbet and Mooney, 2007; NRC, 2010b; Pidgeon et al., 2008). Information that is consistent with, rather than incongruent with, existing beliefs and values is more likely to be accepted, as is information from trusted sources (Bishr and Mantelas, 2008; Cash et al., 2003; Critchley, 2008; Cvetkovich and Loefstedt, 1999).

These challenges demonstrate the importance of understanding how people—acting as consumers, citizens, or members of organizations and social networks—comprehend climate change, and how these cognitive processes influence climate-relevant decisions and behaviors. Fundamental knowledge of risk perception provides a basis for this understanding (e.g., NRC, 1996; Pidgeon et al., 2003; Renn, 2008; Slovic,

2000), but this knowledge needs to be extended and elaborated (e.g., Lorenzoni et al., 2005; Lowe, 2006; O’Neill and Nicholson-Cole, 2009). A wide range of relevant theories and concepts have been advanced in various branches of psychology, sociology, and anthropology, as well as the political, pedagogic, and decision sciences (among others), but these have yet to be more fully synthesized and applied to climate change (Moser, 2010). Improved knowledge of how individuals, groups, networks, and organizations understand climate change and make decisions for responding to environmental changes can inform the design and evaluation of tools that better support decision making (NRC, 2009g).

Institutions, Organizations, and Networks

Individual decisions about climate change, important as they are, are not the only human decisions that shape the trajectory of climate change. Some of the most consequential climate-relevant decisions and actions are shaped by institutions—such as markets, government policies, and international treaties—and by public and private organizations.

Institutions shape incentives and the flow of information. They can also either encourage or help us avoid situations where individual actions lead to outcomes that are undesirable for both the individual and the group (sometimes called “the tragedy of the commons”). The problem of decision making for the collective good has been extensively studied around localized resources such as forests or fisheries (Chhatre and Agrawal, 2008; Dietz and Henry, 2008; McCay and Jentoft, 2009; Moran and Ostrom, 2005; NRC, 2002b; Ostrom, 2007, 2010; Ostrom and Nagendra, 2006). This body of research can provide important guidance for shaping effective responses to climate change at local and regional levels. It can also inform the design and implementation of national and international climate policies (see Chapter 17 ). However, improving our understanding of the flexibility and efficacy of current institutions and integrating this body of knowledge with existing work on international treaties, national policies, and other governance regimes remains a significant research challenge.

Many environmentally significant decisions are made by organizations, including governments, publicly traded companies, and private businesses. Research on environmental decision making by businesses covers a broad range of issues. These include responses to consumer and investor demand, management of supply chains and production networks, standard setting within sectors, decisions about technology and process, how environmental performance is assessed and reported, and the interplay between government policy and private-sector decision making (NRC, 2005a). Re-

sponses to climate change in the private sector have not been studied as extensively, but such research efforts might yield important insights.

A number of state and local governments have also been proactive in developing policies to adapt to climate change and reduce GHG emissions. To learn from these experiences, which is a key aspect of adaptive risk management, research is needed on both the effectiveness of these policies and the various factors that influenced their adoption (Brody et al., 2008; Teodoro, 2009; Zahran et al., 2008). In the United States, local policies are almost always embedded in state policies, which in turn are embedded in national policies, raising issues of multilevel governance—another emerging research area (see Chapter 17 ).

Finally, it is clear that public policy is shaped not only by the formal organizations of government, but also by policy networks that include government, the private sector, and the public. An emerging challenge is to understand how these networks influence policy and how they transmit and learn from new information (Bulkeley, 2005; Henry, 2009).

Environmentally Significant Consumption

Decisions about consumption at the individual, household, community, business, and national levels have a profound effect on GHG emissions. For example, voluntary consumer choices to increase the efficiency of household energy use could reduce total U.S. GHG emissions by over 7 percent if supportive policies were in place (Dietz et al., 2009b). Consumer choices also influence important aspects of vulnerability and adaptation; for example, increasing demand for meat in human diets places stresses on the global food system as well as on the environment (Fiala, 2008; Stehfest et al., 2009), and demand for beachfront homes increases vulnerability and shapes adaptation options related to sea level rise, storm surges, and other coastal impacts.

Considerable research on consumption decision making has been carried out in economics, psychology, sociology, anthropology, and geography (NRC, 1997a, 2005a), but much of this research has been conducted in isolation. For example, economic analyses often take preferences as given. Studies in psychology, sociology, and anthropology, on the other hand, focus on the social influences on preferences but often fail to account for economic processes. Decisions based on knowledge from multiple disciplines are thus much more likely to be effective than decisions that rely on the perspective of a single discipline, and advances in the understanding of climate and related environmental decision making are likely to require collaboration across multiple social science disciplines (NRC, 1997a, 2002b). This is an area of research where

theories and methodologies are in place but progress has been slowed by a lack of support for experiments and large-scale data collection efforts that integrate across disciplines.

Human Drivers of Climate Change

Ultimately, it is desirable to understand how choices, and the factors that shape them, lead to specific environmental outcomes (Dietz et al., 2009c; Vayda, 1988). A variety of hypotheses have been offered and tested about the key societal factors that shape environmental change—what are often called the drivers of change (NRC, 1992a). Growth in population and consumption, technological change, land and resource use, and the social, institutional, and cultural factors shaping the behavior of individuals and organizations have all been proposed as critical drivers, and some empirical work has elucidated the influence of each of them (NRC, 1997b, 1999c, 2005a, 2008b). However, much of this research has focused on only one or a few factors at a time and has used highly aggregated data (Dietz et al., 2009a). To understand the many human drivers of climate change as a basis for better-informed decision making, it will be necessary to develop and test integrative models that examine multiple driving forces together, examine how they interact with each other at different scales of human activity and over time, and consider how their effects vary across different contexts.

To evaluate the effectiveness of policies or other actions designed to limit the magnitude of climate change, increased understanding is needed about both the elasticity of climate drivers—the extent to which changes in drivers produce changes in climate impacts—and the plasticity of drivers, or the ease with which the driver can be changed by policy interventions (York et al., 2002). For example, analyses of the effects of population growth on GHG emissions suggest an elasticity of about 1 to 1.5; that is, for every 1 percent increase in human population, there is roughly a 1 to 1.5 percent increase in environmental impact (Clark et al., 2010; Dietz et al., 2007; Jorgenson, 2007, 2009; Shi, 2003; York et al., 2003). On the other hand, recent research suggests that environmental impact is more directly related to the number of households than to the number of people (Cole and Neumayer, 2004; Liu et al., 2003). Thus, a shift to smaller average household size could offset or even overwhelm the reduction in climate drivers resulting from reduced population growth. Similarly, it has been argued that increasing affluence leads at first to increased environmental impact but, once a threshold level of affluence has been reached, environmental impact declines (Grossman and Krueger, 1995; Selden and Song, 1994). In the case of GHG emissions, however, emissions apparently continue to increase with increasing affluence (Carson,

2010; Cavlovic et al., 2000; Dasgupta et al., 2002; Dietz et al., 2007; Stern, 2004), suggesting that economic growth alone will not reduce emissions.

Processes that Induce or Constrain Innovation

The adoption of new technology is yet another area in which institutions, organizations, and networks have an important influence on decision making. New and improved technologies will be needed to meet the challenges of limiting climate change and adapting to its impacts (NRC, 2010a,c). However, the mere existence of a new technology with desirable properties is not sufficient to ensure its use. For example, individuals and organizations are currently far less energy efficient than is technologically feasible or economically optimal (Jaffe and Stavins, 1994; Weber, 2009). There are also many examples of differential use of or opposition to new technologies among individuals, communities, and even nations. Although adoption of and resistance to innovation, especially in new technologies, have been extensively studied (e.g., Stern et al., 2009), much of this research has been technology specific. A validated theoretical framework has not yet been developed for analyses of adoption issues related to new technologies to reduce GHG emissions or enhance resilience of particular systems, or of proposals to intentionally modify the climate system (see Chapter 15 ). One lesson from the existing literature is worth highlighting—the earlier in the process of technological development that social acceptance is considered, the more likely it is that technologies will be developed that will actually be used (Rosa and Clark, 1999). Another is that, beyond the character of the innovation itself, it is essential to understand the role of the decision and institutional environment in fostering or constraining its adoption (Lemos, 2008; Rayner et al., 2005). Many of these concepts and research needs also emerge from the next two themes in this chapter.

THEME 3: VULNERABILITY AND ADAPTATION ANALYSES OF COUPLED HUMAN-ENVIRONMENT SYSTEMS

Not all people, activities, environments, and places are equally vulnerable 1 or resilient to the impacts of climate change. Identification of differences in vulnerability across space and time is both a pivotal research issue and a critical way in which scientific research can provide input to decision makers as they make plans to adapt to climate

change. Indeed, the companion report Adapting to the Impacts of Climate Change (NRC, 2010a) identifies vulnerability assessments as a key first step in many if not all adaptation-related decisions and actions. An example of the use of vulnerability assessments in the context of climate-related decision making in the coastal zone can be found in Box 4.2 .

In addition to merely identifying and characterizing vulnerabilities, scientific research can help identify and assess actions that could be taken to reduce vulnerability and increase resilience and adaptive capacity in human and environmental systems. Combined vulnerability and adaptation analyses can, for example, identify “no-regrets” actions that could be taken at little or no cost and would be beneficial regardless of

how climate change unfolds. They can also help to identify sectors, regions, resources, and populations that are particularly vulnerable to changes in climate considered in the context of changes in related human and environmental systems. Finally, scientific research can assist adaptation planning by helping to develop, assess, and improve actions that are taken to adapt, and by identifying barriers to adaptation and options to overcome those barriers. Indeed, many of the chapters in Part II of the report identified vulnerability and adaptation analyses, developing the scientific capacity to perform such analyses, and developing and improving adaptation options as key research needs. Table 4.3 lists some of these needs.

TABLE 4.3 Examples of Research Needs Related to Vulnerability and Adaptation (from Part II )

Characteristics of Vulnerability and Adaptation Analyses

Vulnerability and adaptation analyses can be performed in many contexts and have a wide range of uses. In general, vulnerability analyses assess exposure to and impacts from a disturbance, as well as sensitivity to these impacts and the capacity to reduce or adapt to the negative consequences of the disturbance. These analyses can then be used by decision makers to help decide where, how much, and in what ways to intervene in human or environmental systems to reduce vulnerability, enhance resilience, or improve efficient resource management (Eakin et al., 2009; Turner, 2009). In the context of climate change, vulnerability analyses seek to evaluate and estimate the harm to populations, ecosystems, and resources that might result from changes in climate, and to provide useful information for decision makers seeking to deal with these changes (Füssel and Klein, 2006; Kates et al., 2001; Kelly and Adger, 2000).

A major lesson learned from conventional vulnerability analyses is that they often miss the mark if they focus on a single system or set of interactions—for example, a certain population or ecosystem in isolation—rather than considering the larger system in which people and ecosystems are embedded (O’Brien and Leichenko, 2000; Turner et al., 2003a). The Hurricane Katrina disaster ( Box 4.3 ) illustrates the importance of interactions among the human and environmental components in influencing vulnerability: land and water management decisions interacted with environmental, social,

and economic dynamics to make the people and ecosystems of New Orleans and surrounding areas particularly vulnerable to storm surges, with tragic results.

As recognition has grown that vulnerability should be assessed in a wider context, attention has increasingly turned to integrated approaches focused on coupled human-environment systems. Such analyses consider both the natural characteristics and the human and social characteristics of a system, evaluate the consequences of climate change and other stresses acting on the integrated system, and explore the potential actions that could be taken to reduce the negative impacts of these consequences, including the trade-offs among efforts to reduce vulnerability, enhance resilience, or improve adaptive capacity (see Figure 4.1 ) (Eakin and Luers, 2006; Kasperson et al., 2009; Turner et al., 2003a). Integrated approaches that allow the evaluation of the causal structure of vulnerabilities (i.e., the long-term drivers and more immediate causes of differential exposure, sensitivity, and adaptive capacity) can help identify the resources and barriers that can aid or constrain implementation of adaptation options, including

FIGURE 4.1 A framework for analyzing vulnerabilities, focusing on a coupled human-environment system in which vulnerability and response depend on both socioeconomic and human capital as well as natural resources and changes in the environment. From left to right, the figure includes the stresses on the coupled system, the degree to which those stresses are felt by the system, and the conditions that shape the ability of the system to adapt. SOURCE: Kasperson et al. (2009), adapted from Turner et al. (2003a).

ecological, cognitive, social, cultural, political, economic, legal, institutional, and infrastructural hurdles (e.g., Adger et al., 2009a,b). Integrated vulnerability analyses also allow improved understanding and identification of areas in which climate change works in combination with other disturbances or decisions (e.g., land-management practices) to increase or decrease vulnerability (Cutter et al., 2000; Luers et al., 2003; Turner et al., 2003b).

Challenges of Analyzing Vulnerability

Because of the complexity of interactions within and the variance among coupled human-environment systems, integrated vulnerability and adaptation analyses often rely

on place-based (local and regional) assessments for decision making (e.g., Cutter et al., 2000; O’Brien et al., 2004; Turner et al., 2003b; Watson et al., 1997). However, with few notable exceptions (e.g., Clark et al., 1998; Cutter et al., 2000), there is little empirical research on the vulnerability of places, communities, economies, and ecological systems in the United States to climate change, nor is there much empirically grounded understanding of the range of adaptation options and associated constraints (Moser, 2009a; NRC, 2010a).

The development of common metrics and frameworks for vulnerability and adaptation assessments is needed to assist cross-sectoral and interregional comparison and learning. While some research has focused on useful outputs for decision making and adaptation planning (Luers et al., 2003; Moss et al., 2002; Polsky et al., 2007;

Schmidtlein et al., 2008), developing comparative metrics has been challenging due to a lack of baseline data and insufficient monitoring; difficulty in measuring critical and dynamic social, cultural, and environmental variables across scales and regions; limitations in accounting for the indirect impacts of adaptation measures; and uncertainties regarding changes in climate variability, especially changes in the frequency or severity of extreme events, which often dominate vulnerability (Eakin and Luers, 2006; NRC, 2010a; O’Brien et al., 2004).

Assessing adaptive capacity has also been difficult because of its latent character; that is, although capacity can be characterized, it can only be “measured” after it has been realized or mobilized. Hence, adaptive capacity can often only be assessed based on assumptions about different factors that might facilitate or constrain response and action (Eakin and Luers, 2006; Engle and Lemos, 2010) or through the use of model projections. Progress here will rely on improved understanding of human behavior relevant to adaptation; institutional barriers to adaptation; political and social acceptability of adaptation options; their economic implications; and technological, infrastructure, and policy challenges involved in making certain adaptations.

THEME 4: RESEARCH TO SUPPORT STRATEGIES FOR LIMITING CLIMATE CHANGE

Decisions about how to limit the magnitude of climate change, by how much, and by when demand input from research activities that span the physical, biological, and social science disciplines as well as engineering and public health. In addition to assessing the feasibility, costs, and potential consequences of different options and objectives, research is critical for developing new and improving existing technologies, policies, goals, and strategies for reducing GHG emissions. Scientific research, monitoring, and assessment activities can also assist in the ongoing evaluation of the effectiveness and unintended consequences of different actions or set of actions as they are taken—which is critical for supporting adaptive risk management and iterative decision making (see Box 3.1 ). This section highlights some pressing research needs related to efforts to limit the magnitude of future climate change.

Commonly discussed strategies for limiting climate change (see Figure 4.2 ) include reducing energy consumption, for instance by improving energy efficiency or by reducing demand for energy-intensive goods and services; reducing emissions of GHGs from energy production and use, industrial processes, agriculture, or other human activities; capturing CO 2 from power plants and industrial processes, or directly from the atmosphere, and sequestering it in geological formations; and increasing CO 2

FIGURE 4.2 The chain of factors that determine how much CO 2 accumulates in the atmosphere. The blue boxes represent factors that can potentially be influenced to affect the outcomes in the purple circles. SOURCE: NRC (2010c).

uptake by the oceans and land surface. There is also increasing interest in solar radiation management and other geoengineering approaches (see Chapters 9 , 14 , and 15 ). While much is known about some of these strategies, others are not well understood, and there are many scientific research needs related to the development, improvement, implementation, and evaluation of virtually all technologies, policies, and other approaches for limiting climate change.

Setting goals for limiting the magnitude of climate change involves ethical and value questions that cannot be answered by scientific analysis. However, scientific research can help inform such efforts by providing information about the feasibility and potential implications of specific goals. The companion report Limiting the Magnitude of Future Climate Change (NRC, 2010c) suggests that the U.S. goal be framed in terms of a cumulative budget for GHG emissions over a set time period. The report does not recommend a specific budget goal, but it examines a “representative” budget in the range of 170 to 200 Gt CO 2 -eq 2 for the period 2012 to 2050. 3 As the Limiting report notes, reaching a goal in this range will be easier and less costly overall if actions to limit GHG emissions are undertaken sooner rather than later. It will also require pursuing multiple emissions-reduction strategies across a range of sectors, as well as continued research and development aimed at creating new emissions-reduction opportunities. Finally, to support adaptive risk management and iterative decision making with re-

spect to emissions reductions or other climate goals, scientific research will be needed to monitor and improve implementation approaches and to evaluate the potential trade-offs, co-benefits, and unintended consequences of different strategies, as well as the interaction of multiple approaches working in concert. These and other examples of research needs for supporting actions to limit climate change are listed in Table 4.4 .

The challenge of limiting climate change also engages many of the other research themes identified in this chapter. For example, understanding and comparing the full effects of various energy technologies or climate policies (including their comparative benefits, costs, risks, and distributional effects) typically requires an integration of climate models with energy and economic models ( Theme 7 ), which in turn are based on fundamental understanding of the climate system ( Theme 1 ) and human systems

TABLE 4.4 Examples of Research Needs Related to Limiting the Magnitude of Climate Change (from Part II )

( Theme 2 ), as well as the observations ( Theme 6 ) that underpin such understanding. Similarly, setting and evaluating goals and policies for limiting the magnitude of future climate change involves decision-making processes at a variety of scales that would benefit from decision-support tools that aid in handling uncertainty and understanding complex value trade-offs ( Theme 5 ). These decisions would similarly benefit from integrated analyses or linked “end-to-end” models ( Theme 7 ) of how policies and other actions influence emissions, how the climate system and related environmental systems will respond to these changes in emissions, and how human and natural systems will be affected by all of these changes—all of which again depend critically on observations ( Theme 6 ). Thus, while the following subsections describe a number of key research needs related to limiting the magnitude of future climate change, progress in many other research areas will also be needed.

Developing New Technologies

Efforts to reduce transportation- and energy-related GHG emissions focus on reducing total energy demand (through, for example, conservation or changes in consumption patterns); improving energy efficiency; reducing the GHG intensity of the energy supply (by using energy sources that emit fewer or no GHGs); and direct capture and sequestration of CO 2 during or after the combustion of fossil fuels (see Figure 4.2 and Chapters 13 and 14 ). The strategy of reducing demand is discussed earlier (under Theme 2 : Human Behavior and Institutions). Technology development is directed primarily toward the other three strategies: efficiency, lower carbon intensity, and carbon capture and storage.

Numerous scientific and engineering disciplines contribute to the development and implementation of energy technology options: the physical, biological, and engineering sciences, for example, are all critical for the development of new technologies, while the social sciences play a key role in both technology development and technology deployment and adoption. In many cases, these diverse disciplines need to work together to evaluate, improve, and expand energy technology options. A coordinated strategy for promoting and integrating energy-related research is needed to ensure the most efficient use of investments among these disciplines and activities.

A number of reports (e.g., Technology and Transformation [NRC, 2009d] and the Strategic Plan of the U.S. Climate Change Technology Program [DOE, 2009c]) have suggested that priority areas for strategic investment in the energy sector should include energy end use and infrastructure, sustainable energy supply, carbon sequestration, and reduction of non-CO 2 GHG emissions. These are discussed in Chapter 14 . In the transpor-

tation sector, key research and development topics include vehicle efficiency, vehicles that run on electricity or non-petroleum-based transportation fuels, and technologies and policies that could reduce travel demand (including, for example, communication technologies like video conferencing). Chapter 13 includes additional discussion on these topics.

Technology developments in the energy and transportation sector are interrelated. For example, widespread adoption of batteries and fuel cells would switch the main source of transportation energy from petroleum to electricity, but this switch will only result in significant GHG emissions reductions if the electricity sector can provide low- and no-GHG electricity on a large scale. This and other codependencies between the energy and transportation sectors underscore the need for an integrated, holistic national approach to limit the magnitude of future climate change as well as related research investments. Widespread adoption of new transportation or energy technologies would also demand significant restructuring of the nation’s existing transportation and energy infrastructure, and scientific and engineering research will play an important role in optimizing that design.

As described in Chapter 12 , urban design presents additional opportunities for limiting climate change. The design of urban developments can, for example, reduce the GHG “footprints” of buildings and the level of demand they create for motorized travel. However, the success of new urban and building designs will depend on better understanding of how technology design, social and economic considerations, and attractiveness to potential occupants can be brought together in the cultural contexts where the developments will occur. Research is also needed to consider the implication of new designs for human vulnerability to climate change as well as other environmental changes.

Finally, as discussed in Chapter 10 , there are a number of potential options for reducing GHG emissions from the agricultural, fisheries, and aquaculture sectors through new technologies or management strategies. Development of new fertilizers and fertilizer management strategies that reduce emissions of N 2 O is one area of interest—one that may also yield benefits in terms of agricultural contributions to other forms of pollution. Reducing CH 4 emissions through changes in rice technologies or ruminant feed technologies are two additional areas of active research. Further research is needed in these and other areas, and also on the effectiveness, costs and benefits, and perceptions of farmers, fish stock managers, and consumers when considering implementation of new technologies in these sectors.

Facilitating Adoption of Technologies

There are a number of barriers to the adoption of technologies that could potentially reduce GHG emissions. For example, the Environmental Protection Agency (EPA) recently suspended Energy Star certification for programmable thermostats because it was unable to show that they save energy in actual use (EPA, 2009a). Similar difficulties could be in store for “smart meters,” which are promoted as devices that will allow households to manage energy use to save money and reduce emissions, but which are often designed mainly for the information needs of utility companies rather than consumers. Research on improved designs of these and other types of monitoring and control equipment could help reduce energy use by helping users operate homes, motor vehicles, and commercial and industrial facilities more efficiently.

There are similar opportunities for improved energy efficiency through behavioral change. For example, U.S. households could significantly reduce their GHG emissions (and save money) by adopting more energy-efficient driving behaviors and by properly maintaining automobiles and home heating and cooling systems (Dietz et al., 2009b). Research on behavioral change suggests that a good portion of this potential could actually be achieved, but further analysis is needed to develop and assess specific strategies, approaches, and incentives.

In general, barriers to technology adoption have received only limited research attention (e.g., Gardner and Stern, 1996; NRC, 2005a; Pidgeon et al., 2003). Such research can identify barriers to faster adoption of technologies and develop and test ways to overcome these barriers through, for example, better technological design, policies for facilitating adoption, and practices for addressing public concerns. This research can also develop more realistic estimates of technology penetration rates given existing barriers and assess the perceived social and environmental consequences of technology use, some of which constitute important barriers to or justifications for adoption. Finally, the gap between technological potential and what is typically accomplished might be reduced by integrating knowledge from focused, problem-solving research on adoption of new technologies and practices (e.g., Stern et al., 2009, in press).

Institutions and Decision Making

The 20th century saw immense social and cultural changes, many of which—such as changes in living patterns and automobile use—have had major implications for climate change. Many societal and cultural changes can be traced to the confluence of individual and organizational decision making, which is shaped by institutions that reward some actions and sanction others, and by technologies. New institutions, such

as GHG emissions trading systems, voluntary certification systems for energy-efficient building design, bilateral international agreements for emissions reduction, agreements on emissions monitoring, and carbon offset markets, are critical components of most of the plans that have been proposed to limit human GHG emissions during the next few decades (see Theme 2 above and also the companion reports Limiting the Magnitude of Future Climate Change [NRC, 2010c] and Informing an Effective Response to Climate Change [NRC, 2010b]). Many such mechanisms are already in operation, and these constitute natural experiments, but the scientific base for evaluating these experiments and designing effective institutions is limited (see, e.g., Ostrom, 2010; Prakash and Potoski, 2006; Tietenberg, 2002). Institutional design would likely be enhanced by more systematic research to evaluate past and current efforts, compare different institutional approaches for reaching the same goals, and develop and pilot-test new institutional options.

A large number of individual, community, and organizational decisions have a substantial effect on GHG emissions and land use change as well as on vulnerability to climate change. Many of these decisions are not currently made with much or any consideration of climate change. For example, individual and household food choices, the layout of communities, and the design of supply chains all have effects on climate. Understanding social and cultural changes is important for projecting future climate change, and, in some cases, these changes may provide substantial leverage points for reducing climate change. Thus, enhanced understanding of the complex interplay of social, cultural, and technological change is critical to any strategy for limiting future climate change.

Geoengineering Approaches

Available evidence suggests that avoiding serious consequences from climate change poses major technological and policy challenges. If new technologies and institutions are insufficient to achieve critical emissions-reduction targets, or if a “climate emergency” emerges, decision makers may consider proposals to manage Earth’s climate directly. Such efforts, often referred to as geoengineering approaches, encompass two very different categories of approaches: carbon dioxide removal (CDR) from the atmosphere, and solar radiation management (SRM). Two proposals for CDR—iron fertilization in the ocean and direct air capture—are discussed briefly in Chapters 9 and 14 , respectively. As noted in Chapter 2 and discussed in greater detail in Chapter 15 , little is currently known about the efficacy or potential unintended consequences of SRM approaches, particularly how to approach difficult ethical and governance questions. Therefore, research is needed to better understand the feasibility of different geoengi-

neering approaches; the potential consequences (intended and unintended) of such approaches on different human and environmental systems; and the related physical, ecological, technical, social, and ethical issues, including research that could inform societal debates about what would constitute a “climate emergency” and on governance systems that could facilitate whether, when, and how to intentionally intervene in the climate system. It is important that such research not distract or take away from other important research areas, including research on understanding the climate system and research on “conventional” strategies for limiting the magnitude of climate change and adapting to its impacts.

THEME 5: EFFECTIVE INFORMATION AND DECISION-SUPPORT SYSTEMS

Global climate changes are taking place within a larger context of vast and ongoing social and environmental changes. These include the globalization of markets and communication, continued growth in human population, land use change, resource degradation, and biodiversity loss, as well as persistent armed conflict, poverty, and hunger. There are also ongoing changes in cultural, governance, and economic conditions, as well as in technologies, all of which have substantial implications for human well-being. Thus, decision makers in the United States and around the world need to balance climate-related choices and goals with other social, economic, and environmental objectives (Burger et al., 2009; Lindseth, 2004; Schreurs, 2008), as well as issues of fairness and justice (Page, 2008; Roberts and Parks, 2007; Vanderheiden, 2008) and questions of risk (Bulkeley, 2001; Jacques, 2006; Lorenzoni and Pidgeon, 2006; Lubell et al., 2007; Vogler and Bretherton, 2006), all while taking account of a changing context for those decisions. Accordingly, in addition to climate and climate-related information, decision makers need information about the current state of human systems and their environment, as well as an appreciation of the plausible future outcomes and net effects that may result from their policy decisions. They also need to consider how their decisions and actions could interact with other environmental and economic policy goals, both in and outside their areas of responsibility.

The research needs highlighted in this report are intended to both improve fundamental understanding of and support effective decision making about climate change. As explored in the companion report Informing an Effective Response to Climate Change (NRC, 2010b), there is still much to be learned about the best ways of deploying science to support decision making. Indeed, available research suggests that, all too often, scientists’ efforts to provide information are of limited practical value because effective decision-support systems are lacking (NRC, 2009g). Scientific research on decision-support models, processes, and tools can help improve these systems.

TABLE 4.5 Examples of Scientific Research Needs Pertaining to Decision Support in the Context of Climate Change (from Part II )

Effective decision support also requires interactive processes involving both scientists and decision makers. Such processes can inform decision makers about anticipated changes in climate, help scientists understand key decision-making needs, and work to build mutual understanding, trust, and cooperation—for example, in the design of decision tools and processes that make sense both scientifically and in the actual decision-making context. Table 4.5 provides a list of the related scientific research needs that emerge from the chapters in Part II of the report.

Decision Processes

Even when viable technologies or actions that could be effective in limiting the magnitude or adapting to the impacts of climate change exist, and appropriate institutions and policies to facilitate their implementation or adoption are in place (see Themes 2 , 3 , and 4 ), success can depend strongly on decision-making processes in populations or organizations (NRC, 2005a, 2008h). One of the major contributions the social sciences can make to advancing the science of climate change is in the understanding, development, assessment, and improvement of these decision-making processes. Scientific research can, for example, help identify the information that decision makers need, devise effective and broadly acceptable decision-making processes and decision-support mechanisms, and enhance learning from experience. Specific research agendas for the science of decision support are available in a number of other reports (NRC, 2009g, 2010b), and other sections of this chapter describe some of the tools that have been or could be developed to inform or assist decision makers in their deliberations

(for example, vulnerability and adaptation analyses of coupled human environmental systems, which are described in Theme 3 ).

One of the most important and well-studied approaches to decision making is deliberation with analysis (also called analytic deliberation or linked analysis and deliberation). Deliberation with analysis is an iterative process that begins with the many participants in a decision working together to define a decision problem and then to identify (1) options to consider and (2) outcomes and criteria that are relevant for evaluating those options. Typically, participants work with experts to generate and interpret decision-relevant information and then revisit the objectives and choices based on that information. This model was developed in the broad context of environmental risks (NRC, 1996) and has been elaborated in the context of climate-related decision making (NRC, 1999b, 2009g)

The deliberation with analysis approach allows repeated structured interactions among the public, decision makers, and scientists that can help the scientific community understand the information needs of and uses by decision makers, and appreciate the opportunities and constraints of the institutional, material, and organizational contexts under which stakeholders make decisions (Lemos, 2008; Rayner et al., 2005; Tribbia and Moser, 2008). It also helps decision makers and other stakeholders better understand and trust the science being produced. While research on deliberation with analysis has provided a general framework that has proven effective in local and regional issues concerning ecosystem, watershed, and natural resource management, more research is needed to determine how this approach might be employed for national policy decisions or international decision making around climate change (NRC, 1996, 2005a, 2007a, 2008h).

Effective Decision-Support Systems

A decision-support system includes the individuals, organizations, networks, and institutions that develop decision-relevant knowledge, as well as the mechanisms to share and disseminate that knowledge and related products and services (NRC, 2009g). Agricultural or marine extension services, with all their strengths and weaknesses, are an important historical example of a decision-support system that has helped make scientific knowledge relevant to and available for practical decision making in the context of specific goals. The recent report Informing Decisions in a Changing Climate (NRC, 2009g) identified a set of basic principles of effective decision support that are applicable to the climate change arena: “(1) begin with users’ needs; (2) give priority to process over products; (3) link information producers and users; (4) build connec-

tions across disciplines and organizations; (5) seek institutional stability; and (6) design processes for learning.”

Effective decision-support systems work to both guide research toward decision relevance and link scientific information with potential users. Such systems will thus play an important role in improving the linkages between climate science and decision making called for both in this report and in many previous ones (e.g., Cash et al., 2003; NRC, 1990a, 1999b, 2009g). Research on the use of seasonal climate forecasts exemplifies current understanding of decision-support systems (see Box 4.4 ).

The basic principles of effective decision support are reasonably well known (see, e.g.,

NRC, 2009g). However, they need to be applied differently in different places, with different decision makers, and in different decision contexts. Determining how to apply these basic principles is at the core of the science of decision support—the science needed for designing information products, knowledge networks, and institutions that can turn good information into good decision support (NRC, 2009g). The base in fundamental science for designing more effective decision-support systems lies in the decision sciences and related fields of scholarship, including cognitive science, communications research, and the full array of traditional social and behavioral science disciplines.

Expanded research on decision support would enhance virtually all the other research called for in this report by improving the design and function of systems that seek to make climate science findings useful in adaptive management of the risks of climate change. The main research needs in this area are discussed in Informing Decisions in a Changing Climate (NRC, 2009g), Informing an Effective Response to Climate Change (NRC, 2010b), and several other studies (e.g., NRC, 2005a, 2008g). A recent review of research needs for improved environmental decision making (NRC, 2005a) emphasized the need for research to identify the kinds of decision-support activities and products that are most effective for various purposes and audiences. The report recommended studies focused on assessing decision quality, exploring decision makers’ evaluations of decision processes and outcomes, and improving formal tools for decision support.

The key research needs for the science of decision support fall into the following five areas (NRC, 2009g):

Information needs. Research is needed to identify the kinds of information that would add greatest value for climate-related decision making and to understand information needs as seen by decision makers.

Communicating risk and uncertainty. People commonly have difficulty making good sense and use of information that is probabilistic and uncertain. Research on how people understand uncertain information about risks and on better ways to provide it can improve decision-support processes and products.

Decision-support processes. Research is needed on processes for providing decision support, including the operation of networks and intermediaries between the producers and users of information for decision support. This research should include attention to the most effective channels and organizational structures to use for delivering information for decision support; the ways such information can be made to fit into individual, organizational, and institutional decision routines; the factors that determine whether potentially useful information is actually used; and ways to overcome barriers to the use of decision-relevant information.

Decision-support products. Research is needed to design and apply decision tools, data analysis platforms, reports, and other products that convey user-relevant information in ways that enhance users’ understanding and decision quality. These products may include models and simulations, mapping and visualization products, websites, and applications of techniques for structuring decisions, such as cost-benefit analysis, multiattribute decision analysis, and scenario analysis.

Decision-support “experiments.” Efforts to provide decision support for various decisions and decision makers are already under way in many cities, counties, and regions. These efforts can be treated as a massive national experiment that can, if data are carefully collected, be analyzed to learn which strategies are attractive, which ones work, why they work, and under what conditions. Research on these experiments can build knowledge about how information of various kinds, delivered in various formats, is used in real-world settings; how knowledge is transferred across communities and sectors; and many other aspects of decision-support processes.

THEME 6: INTEGRATED CLIMATE OBSERVING SYSTEMS

Nearly all of the research called for in this report either requires or would be considerably improved by a comprehensive, coordinated, and continuing set of observations—physical, biological, and social—about climate change, its impacts, and the consequences (both intended and unintended) of efforts to limit its magnitude or adapt to its impacts ( Table 4.6 ). Extensive, robust, and well-calibrated observing systems would support the research that underpins the scientific understanding of how and why climate is changing, provide information about the efficacy of actions and strategies taken to limit or adapt to climate change, and enable the routine dissemination of climate and climate-related information and products to decision makers. Unfortunately, many of the needed observational assets are either underdeveloped or in decline. In addition, a variety of institutional factors—such as distributed responsibility across many different entities—complicate the development of a robust and integrated climate observing system.

The breadth of information needed to support climate-related decision making implies an observational strategy that includes both remotely sensed and in situ observations and that provides information about changes across a broad range of natural and human systems. To be useful, these observations must be

Sustained for decades to separate long-term trends from short-term variability;

Well calibrated and consistent through time to ensure that observed changes are real;

Spatially extensive to account for variability across scales and to ensure that assessments of change are not overly influenced by local phenomena;

Supported by a robust data management infrastructure that supports effective data archiving, accesses, and stewardship; and

Sustained by defined roles and responsibilities across the federal government as well as state and local governments, the research community, private businesses, and the international community.

Space-Based Platforms

Our understanding of the climate system and other important human and environmental systems has benefitted significantly through the use of satellite observations over the past 30 years (NRC, 2008c). For example, data from the Earth Observing System (EOS) series of satellites deployed in the late 1990s and early 2000s provide critical input into process and climate models that have provided key insights into Artic sea ice decline, sea level rise, changes in freshwater systems, ozone changes over Antarctica, changes in solar activity, ocean ecoystem change, and changes in land use, to name just a few. Box 4.5 provides an example of a key satellite-based measurement that has promoted enhanced understanding of the physical climate system and how it is changing over time.

TABLE 4.6 Examples of Science Needs Related to Observations and Observing Systems (see Part II for additional details)

FIGURE 4.3 Number of U.S. space-based Earth observation missions (left) and instruments (right) in the current decade. An emphasis on climate and weather is evident, as is a decline in the number of missions near the end of the decade. For the period from 2007 to 2010, missions were generally assumed to operate for 4 years past their nominal lifetimes. SOURCE: NRC (2007c), based on information from NASA and NOAA websites for mission durations.

Over the past decade, a wide range of problems have plagued the maintenance and development of environmental satellites. In response to a request from several federal agencies, the NRC conducted a “decadal survey” in 2004-2006 to generate consensus recommendations from the Earth and environmental science and applications communities regarding a systems approach to space-based (and ancillary) observations. The interim report of the decadal survey (NRC, 2005b) described the national system of environmental satellites as being “at risk of collapse.” That judgment was based on a sharp decline in funding for Earth observation missions and the consequent cancellation, descoping, and delay of a number of critical satellite missions and instruments. An additional concern expressed in the interim report was attracting and training scientists and engineers and providing opportunities for them to exploit new technology and apply new theoretical understanding in the pursuit of both discovery science and high-priority societal applications.

These concerns only increased in the 2 years following the publication of the interim report as additional missions and sensors were cancelled. The final decadal survey report (NRC, 2007c) presented near- and longer-term recommendations to address these troubling trends. The report outlined near-term actions meant to stem the tide of capability deterioration and continue critical data records, as well as forward-looking recommendations to establish a balanced Earth observation program designed to directly address the most urgent societal challenges (see Figure 4.3 ). The final report also noted the lack of clear agency responsibility for sustained research programs and

for transitioning proof-of-concept measurements into sustained measurement systems (see Box 4.6 ).

The National Polar-orbiting Operational Environmental Satellite System (NPOESS) was created in 1994 to merge various military and civil meteorological and environmental monitoring programs. Unfortunately, by 2005, cost overruns triggered a mandatory

review of the NPOESS program, resulting in reductions in the number of planned satellite acquisitions as well as reductions in the instruments carried on each platform—with climate-related sensors suffering the majority of the cuts, in part because of conflicting agency priorities. More recently, there have been several efforts to restore some of the lost sensor capabilities. However, these short-term, stop-gap measures are only designed to preserve the most critical long-term records and do not represent a long-term, comprehensive strategy to observe critical climate and climate-related processes and trends from space (NRC, 2008d). The President’s 2011 budget seeks to restructure the NPOESS program, but details were not available in time to inform the development of this report. An additional blow to the nation’s Earth observing program was the July 2009 launch failure of NASA’s Orbiting Carbon Observatory (OCO), which was expected to provide high-resolution satellite-based measurements of CO 2 and other GHGs (NRC, 2009h). The President’s 2011 budget request for NASA includes $170 million for a reflight of the OCO mission, which will be called OCO-2.

Given the global scope of satellite observations and the expense of designing, launching, and operating satellites, the decadal survey (NRC, 2007c) and other reviews call for international coordination as a key component of the nation’s satellite observation strategy. Collaborations with other nations not only save scarce resources for all partners, they also promote scientific collaboration and sharing of ideas among the international scientific community. However, international collaborations come at a cost. Any time partners are involved, control must be shared, and the success of the mission depends critically on the performance of all partners. A successful collaboration also requires assurance that data will be shared and that U.S. scientists are full partners on teams that ensure adequate prelaunch instrument characterization and postlaunch instrument calibration and validation.

Finally, there is a wealth of classified data that have been and continue to be collected by the intelligence community that could potentially provide useful information on understanding the nature and impacts of climate change. Declassified data from the 1960s have already been used for this purpose with great success (Csatho et al., 1999; Joughin et al., 2002; Stokes et al., 2006). More recently, a large amount of sea ice imagery was released for scientific study (NRC, 2009l). Given the importance of the climate change challenge, and the recent struggles of the civilian satellite program, the climate science community should take advantage of such data sets to the extent that they can be made available for scientific purposes.

Ground-Based and In Situ Observations of the Earth System

Ground-based in situ measurements—ranging from thermometer measurements to ecosystem surveys—are the oldest and most diverse type of environmental observations, and they remain a fundamental component of an integrated climate observing system. Over the past 60 years, direct ground-based measurements have been supplemented by airborne in situ measurements, from both aircraft and balloons, and by ground-based, remotely sensed data, such as weather radars and vertical profilers of atmospheric composition. Collectively, these observations span a broad range of instruments and types of information, from instruments initially deployed as part of research experiments to operational networks at the local, state, regional, national, and international levels deployed by a range of public and private institutions. In addition to directly supporting research on the Earth system and specific decision-making needs, these observations are critical for calibrating and validating satellite measurements and for developing and testing climate and Earth system model parameterizations.

There have been significant advances in in situ and ground-based monitoring networks over the past several decades. Examples include the Arctic observing network, the Tropical-Atmosphere Ocean (TAO) array constructed primarily to monitor temperature profiles in the upper equatorial Pacific ocean and support predictions of the El Niño-Southern Oscillation, “Argo” floats that provide dispersed observations of temperature and salinity of the upper ocean, the FLUXNET network of ecosystem carbon exchange with the atmosphere, the Aerosol Robotic Network (AERONET) that provides observations of atmospheric optical properties, and the Atmosphere Radiation Measurement (ARM) program. In addition, there is a wealth of observations from a broad range of public and private systems designed primarily for other purposes—such as wind monitoring for port safety—that could potentially be tapped to supplement existing climate observations and yield new and valuable insights. These systems will have to be integrated and maintained for decades to realize their full potential as components of a climate observing system.

The recent study Observing Weather and Climate from the Ground Up: A Nationwide Network of Networks (NRC, 2009j) discusses the value and challenges of coordinating the wide range of ground-based weather, climate, and climate-related observing systems to create a more integrated system that could be greater than the sum of its individual parts. The report calls for improved coordination across existing public and private networks of in situ observations. However, the number and diversity of entities involved make this a major organizational and governance challenge. If properly developed, an integrated, nationwide network of weather, climate, and related observations

would undoubtedly be a tremendous asset for supporting improved understanding of climate change as well as climate-related decision making.

In addition to maintaining and enhancing observational capacity, research on new methods of observation, such as the miniaturization of instruments for in situ data collection, could both enhance data collection capabilities and lower the often substantial costs associated with data collection systems. To become effective components of an integrated climate observing system, these observational capacities, whether they represent the continuation of existing capabilities or the development of new ones, should be developed with a view toward providing meaningful, accurate, well-calibrated, integrated, and sustained data across a range of climate and climate-related variables.

Observations of Human Systems

Other sections of this chapter highlight the importance of social science research in understanding the causes, consequences, and opportunities to respond to climate change. As with research on the physical and biological components of the climate system, this research depends on the availability of high-quality, long-term, and readily accessible observations of human systems, not only in the United States but also in areas of the world with relevant U.S. interests. Census data, economic productivity and consumption data, data on health and disease patterns, insurance coverage, crop yields, hazards exposure, and public perceptions and preferences are just some of the types of information that can be relevant for developing an improved understanding of human interactions with the climate system and for answering various decision-relevant questions related to the human dimensions of climate change. Socioeconomic data are also critical for linking environmental observations with assessments of climate-related risk, vulnerability, resilience, and adaptive capacity in human systems. As with other types of observations, long time series are needed to monitor changes in the drivers of climate change and trends in resilience and vulnerability. Such observational data are most useful when geocoded (linked to specific locations) and matched (aggregated or downscaled) to scales of interest to researchers and decision makers, and when human and environmental data are collected and archived in ways that facilitate linkages between these data.

Studies conducted in the 1970s and 1980s demonstrate the feasibility of data collection efforts that integrate across the engineering and social sciences to better understand and model energy consumption (Black et al., 1985; Cramer et al., 1984; Harris and Blumstein, 1984; Socolow, 1978). Linkage of data on land-cover change and its social

and economic drivers has also been productive (NRC, 2005c, 2007i). Large-scale social science data collection efforts, ranging from the census to federally funded surveys such as the National Longitudinal Study of Adolescent Health, the Panel Study of Income Dynamics, the General Social Survey, and the National Election Studies show the feasibility and value of long-term efforts to collect high-quality social data. However, to date there has been no sustained support to collect comparable data at the individual or organizational level on environmentally significant behaviors, such as energy use and GHG emissions. As states and other entities adopt policies to limit GHG emissions, sustained and integrated efforts to collect data on environmentally significant consumption will be extremely helpful for monitoring progress and honing programs and policies.

Likewise, data on the impacts of climate change on human systems and on vulnerability and adaptation of human systems to global environmental changes are critically needed (NRC, 2009g,k). Examples include morbidity and mortality data associated with air and water quality, expanded data sets focusing on household risk-pooling strategies and adaptation options, and data on urban infrastructure vulnerabilities to extreme weather and climate events. Methods that allow aggregation of data from across a range of regions to develop national-scale understanding will sometimes be necessary, but local and regional vulnerability assessments will also be needed, and these depend on both local and appropriately downscaled information (Braden et al., 2009).The potential exists for greater use of remote sensing to develop indicators of vulnerability to various climate-related hazards and of the socioeconomic drivers of climate change. If validated against in situ measurements, such measures can allow for monitoring of human-climate interactions at much finer spatial and temporal scales than is currently feasible with surveys or other in situ measures of human variables.

There is also great potential in the use of mobile communications technology, such as cell and smart phones, as a vehicle for social science research that has fine temporal and spatial scales (Eagle et al., 2009; Raento et al., 2009; Zuwallack, 2009). Many data collection efforts previously undertaken for governmental administrative purposes, business purposes, or social science research not related to climate change could potentially support the research needed for understanding the human aspects of climate change and climate-related decision making, but only if they are geocoded and linked to other data sets. International, longitudinal databases such as the International Forestry and Institutions database (e.g., Chhatre and Agrawal, 2008) also have great potential to serve as a bridge between local, regional, national, and global processes, as well as for assessing the dynamics of change across time and space.

Finally, because most major social and economic databases have been developed

for purposes unrelated to climate change, these data have significant gaps from the perspective of climate science. However, all climate-relevant socioeconomic and other human systems data need not necessarily be held in a single common observing system. They simply need to be inventoried, archived, and made broadly accessible to enable the kinds of integrative analyses that are necessary for the new climate change research. A major effort is needed both to develop appropriate local data collection efforts and to coordinate them into national and global systems. Initial progress can be made by coordination across specific domains and sectors (e.g., coastal vulnerabilities, health vulnerabilities) and across scales so that locally useful information also contributes to larger-scale indicators and vice versa. Data integration is also a critical need. Some of these issues are explored in the next subsection.

Data Assimilation, Analysis, and Management

Data assimilation refers to the combination of disparate observations to provide a comprehensive and internally consistent data set that describes how a system is changing over time. Improvements in data assimilation systems have led directly to substantial improvements in numerical weather prediction over the past several decades by improving the realism of the initial conditions used to run weather forecast models. Improved data assimilation techniques have also led to improved data sets for analyses of climate change.

Climate data records (see NRC, 2004a) are generated by a systematic and ongoing process of climate data integration and reprocessing. Often referred to as reanalysis, the fundamental idea behind such efforts (see, e.g., Kalnay et al., 1996) is to use data assimilation methods to capitalize on the wealth of disparate historical observations and integrate them with newer observations, such as space-based data. Data assimilation, analysis, and reanalysis are also becoming increasingly important for areas other than regional and global atmospheric models, such as ocean models, land models, marine ecosystems, cryosphere models, and atmospheric chemistry models.

Improvements have occurred in all components of data assimilation and reanalysis, including data assimilation models, the quality and quantity of the observations, and methods for statistical interpolation (see, e.g., Daley, 1991; Kalnay, 2002). However, additional advances are needed. For example, data for the ocean, atmosphere, and land are typically assimilated separately in different models and frameworks. Given that these systems are intrinsically coupled on climate time scales, for instance through exchanges of water and energy, coupled data assimilation methodologies are needed to take into account their interactions. Next-generation data assimilation and reanaly-

sis systems should aim to fully incorporate all aspects of the Earth system (and, eventually, human systems) to support integrated understanding and facilitate analyses of coupled human-environment systems.

Finally, and critically, all observing systems and data analysis activities depend on effective data management—including data archiving, stewardship, and access systems. Historically, support for data management has often lagged behind support for initial data collection (NRC, 2007d). As the demand for sustained climate observations is realized and actions are taken to improve, extend, and coordinate observations, there will be an increase in the demands on both technology and human capacity to ensure that the resulting data are securely archived, quality controlled, and made available to a wide range of users (Baker et al., 2007; NRC, 2004a, 2005e, 2007d). Likewise, as data volume and diversity expand new computational approaches as well as greater computing power will be needed to process and integrate the different data sets on a schedule useful for planning responses to climate change. Finally, because some data have the potential for violating personal privacy norms and legal guarantees, proper safeguards must be in place to protect confidentiality.

Toward Integrated Observations and Earth System Analysis

An integrated climate observing system and improved data analysis and data management systems will be needed to support all of the other themes described in this chapter. Regular observations of the Earth system, for example, are needed to improve climate models, monitor climate and climate-related changes, assess the vulnerability of different human and environmental systems to these change, monitor the effectiveness of actions taken to limit the magnitude of climate change, warn about impending tipping points, and inform decision making. However, creating such systems and making the information available in usable formats to a broad range of researchers and decision makers involves a number of formidable challenges, such as improving linkages between human and environmental data, ensuring adequate support for data archiving and management activities, and creating improved tools for data access and dissemination.

An integrated Earth system analysis capability, or the ability to create an accurate, internally consistent, synthesized description of the evolving Earth system, is a key research need identified both in this report and in many previous reports (NRC, 2009k). Perhaps the single greatest roadblock to achieving this capability is the lack of comprehensive, robust, and unbiased long-term global observations of the climate system and other related human and environmental systems. Other scientific and technical challenges

include identifying the criteria for optimizing assimilation techniques for different purposes, estimating uncertainties, and meeting user demands for higher spatial resolution.

The NRC report Informing Decisions in a Changing Climate (NRC, 2009g) recommends that the federal government “expand and maintain national observation systems to provide information needed for climate decision support. These systems should link existing data on physical, ecological, social, economic, and health variables to each other and develop new data and key indicators as needed” for estimating climate change vulnerabilities and informing responses intended to limit and adapt to climate change. It also notes the need for geocoding existing social and environmental databases; developing methods for aggregating, disaggregating, and integrating such data sets with each other and with climate and other Earth system data; creating new databases to fill critical gaps; supporting modeling and process studies to improve methods for making the data useful; and engaging decision makers in the identification of critical data needs. That study’s recommendations set appropriate strategic directions for an integrated data system. Ultimately, the collection and archiving of data for such a system would need to be evaluated on the basis of potential and actual use in research and decision making.

The recommendations in Chapter 5 provide advice on some steps that can be taken to address these challenges.

THEME 7: IMPROVED PROJECTIONS, ANALYSES, AND ASSESSMENTS

Nearly every scientific challenge associated with understanding and responding to climate change requires an assessment of the interactions among different components of the coupled human-environment system. A wide range of models, tools, and approaches, from quantitative numerical models and analytic techniques to frameworks and processes that engage interdisciplinary research teams and stakeholders, are needed to simulate and assess these interactions. While decisions are ultimately the outcome of individual, group, and political decision-making processes, scientific tools and approaches can aid decision making by systematically incorporating complex information, projecting the consequences of different choices, accounting for uncertainties, and facilitating disciplined evaluation of trade-offs as the nation turns its attention to responding to climate change. Table 4.7 lists some of the specific research needs identified in Part II of the report that are related to the development of models, tools, and approaches for improving projections, analyses, and assessments of climate change.

TABLE 4.7 Examples of Science Needs Related to Improving Projections, Analyses, and Assessments of Climate Change (from Part II )

The boundaries between various tools and approaches for integrated analysis of climate impacts, vulnerabilities, and response options are not rigid; often, a combination of several tools or approaches is needed for improved understanding and to support decision making. This section highlights a few of the integrated tools and approaches that can be used, including

Scenarios of future GHG emissions and other human activities;

Climate and Earth system models;

Process models of ecological functions and ecosystem services;

Integrated assessment approaches, which couple human and environmental systems;

Policy-oriented heuristic models and exercises; and

Process-based decision tools.

This discussion is not intended to be an exhaustive treatment of these approaches—more detailed discussions can be found in Part II of the report and in other reports (e.g., NRC, 2009g)—nor is it intended as a complete list of important tools and ap-

proaches for integrated analysis. Rather, it provides examples of the kinds of approaches that need to be developed, improved, and used more extensively to improve scientific understanding of climate change and make this scientific knowledge more useful for decision making.

Scenario Development

Scenarios help improve understanding of the key processes and uncertainties associated with projections of future climate change. Scenarios are critical for helping decision makers establish targets or budgets for future GHG emissions and devise plans to adapt to the projected impacts of climate change in the context of changes in other human and environmental systems. Scenario development is an inherently interdisciplinary and integrative activity requiring contributions from many different scientific fields as well as processes that link scientific analysis with decision making. Chapter 6 describes some recent scenario development efforts as well as several key outstanding research needs.

Climate Models

Climate models simulate how the atmosphere, oceans, and land surface respond to increasing concentrations of GHGs and other climate drivers that vary over time (see Chapter 6 ). These models are based on numerical representations of fundamental Earth system processes, such as the exchange of energy, moisture, and materials between the atmosphere and the underlying ocean or land surface. Climate models have been critically important for understanding past and current climate change and remain an essential tool for projecting future changes. They have also been steadily increasing in detail, sophistication, and complexity, most notably by improving spatial resolution and incorporating representations of atmospheric chemistry, biogeochemical cycling, and other Earth system processes. These improvements represent an important integrative tool because they allow for the evaluation of feedbacks between the climate system and other aspects of the Earth system.

As discussed in Chapter 6 , there are a number of practical limitations, gaps in understanding, and institutional constraints that limit the ability of climate models to inform climate-related decision making, including the following

The ability to explicitly simulate all relevant climate processes (for example, individual clouds) on appropriate space and time scales;

Constraints on computing resources;

Uncertainties and complexities associated with data assimilation and parameterization;

Lack of a well-developed framework for regional downscaling;

Representing regional modes of variability;

Projecting changes in storm patterns and extreme weather events;

Inclusion of additional Earth system processes, such as ice sheet dynamics and fully interactive ecosystem dynamics;

Ability to simulate certain nonlinear processes, including thresholds, tipping points, and abrupt changes; and

Representing all of the processes that determine the vulnerability, resilience, and adaptability of both natural and human systems.

As discussed in Chapter 6 , climate modelers in the United States and around the world have begun to devise strategies, such as decadal-scale climate predictions, for improving the utility of climate model experiments. These experimental strategies may indeed yield more decision-relevant information, but, given the importance of local- and regional-scale information for planning responses to climate change, continued and expanded investments in regional climate modeling remain a particularly pressing priority. Expanded computing resources and human capital are also needed.

Progress in both regional and global climate modeling cannot occur in isolation. Expanded observations are needed to initialize models and validate results, to develop improved representations of physical processes, and to support downscaling techniques. For example, local- and regional-scale observations are needed to verify regional models or downscaled estimates of precipitation, and expanded ocean observations are needed to support decadal predictions. Certain human actions and activities, including agricultural practices, fire suppression, deforestation, water management, and urban development, can also interact strongly with climate change. Without models that account for such interactions and feedbacks among all important aspects of the Earth system and related human systems, it is difficult to fully evaluate the costs, benefits, trade-offs and co-benefits associated with different courses of action that might be taken to respond to climate change (the next subsection describes modeling approaches that address some of these considerations). An advanced generation of climate models with explicit and improved representations of terrestrial and marine ecosystems, the cryosphere, and other important systems and processes, and with improved representations and linkages to models of human systems and actions, will be as important as improving model resolution for increasing the value and utility of climate and Earth system models for decision making.

Models and Approaches for Integrated Assessments

Integrated assessments combine information and insights from the physical and biological sciences with information and insights from the social sciences (including economics, geography, psychology, and sociology) to provide comprehensive analyses that are sometimes more applicable to decision making than analyses of human or environmental systems in isolation. Integrated assessments—which are done through either formal modeling or through informal linkages among relevant disciplines—have been used to develop insights into the possible effectiveness and repercussions of specific environmental policy choices (including, but not limited to, climate change policy) and to evaluate the impacts, vulnerability, and adaptive capacity of both human and natural systems to a variety of environmental stresses. Several different kinds of integrated assessment approaches are discussed in the paragraphs below.

Integrated Assessment Models

In the context of climate change, integrated assessment models typically incorporate a climate model of moderate or intermediate complexity with models of the economic system (especially the industrial and energy sectors), land use, agriculture, ecosystems, or other systems or sectors germane to the question being addressed. Rather than focusing on precise projections of key system variables, integrated assessment models are typically used to compare the relative effectiveness and implications of different policy measures (see Chapter 17 ). Integrated assessment models have been used, for instance, to understand how policies designed to boost production of biofuels may actually increase tropical deforestation and lead to food shortages (e.g., Gurgel et al., 2007) and how policies that limit CO 2 from land use and energy use together lead to very different costs and consequences than policies that address energy use alone (e.g., Wise et al., 2009a). Another common use of integrated assessments and integrated assessment models is for “impacts, adaptation, and vulnerability” or IAV assessments, which evaluate the impacts of climate change on specific systems or sectors (e.g., agriculture), including their vulnerability and adaptive capacity, and explore the effectiveness of various response options. IAV assessments can aid in vulnerability and adaptation assessments of the sort described in Theme 3 above.

An additional and valuable role of integrated assessment activities is to help decision makers deal with uncertainty. Three basic approaches to uncertainty analysis have been employed by the integrated assessment community: sensitivity analysis, stochastic simulation, and sequential decision making under uncertainty (DOE, 2009b; Weyant, 2009). The aim of these approaches is not to overcome or reduce uncertainty,

but rather to characterize it and help decision makers make informed and robust decisions in the face of uncertainty (Schneider and Kuntz-Duriseti, 2002), for instance by adopting an adaptive risk-management approach to decision making (see Box 3.1 ). Analytic characterizations of uncertainty can also help to determine the factors or processes that dominate the total uncertainty associated with a specific decision and thus potentially help identify research priorities. For example, while uncertainties in climate sensitivity and future human energy production and consumption are widely appreciated, improved methods for characterizing the uncertainty in other socioeconomic drivers of environmental change are needed. In addition, a set of fully integrated models capable of analyzing policies that unfold sequentially, while taking account of uncertainty, could inform policy design and processes of societal and political judgment, including judgments of acceptable risk.

Enhanced integrated assessment capability, including improved representation of diverse elements of the coupled human-environment system in integrated assessment models, promises benefits across a wide range of scientific fields as well as for supporting decision making. A long-range goal of integrated assessment models is to seamlessly connect models of human activity, GHG emissions, and Earth system processes, including the impacts of climate change on human and natural systems and the feedbacks of changes in these systems on climate change. In addition to improved computational resources and improved understanding of human and environmental systems, integrated assessment modeling would also benefit from model intercomparison and assessment techniques similar to those employed in models that focus on Earth system processes.

Life-Cycle Assessment Methods 4

The impacts of a product (or process) on the environment come not only when the product is being used for its intended purpose, but also as the product is manufactured and as it is disposed of at the end of its useful life. Efforts to account for the full set of environmental impacts of a product, from production of raw materials through manufacture and use to its eventual disposition, are referred to as life-cycle analysis (LCA). LCA is an important tool for identifying opportunities for reducing GHG emissions and also for examining trade-offs between GHG emissions and other environmental impacts. LCA has been used to examine the GHG emissions and land use requirements of renewable energy technologies (e.g., NRC, 2009) and other technolo-

gies that might reduce GHG emissions (e.g., Jaramillo et al., 2009, Kubiszewski et al., 2010, Lenzen, 2008, Samaras and Meisterling, 2008).

LCA of corn-based ethanol and other liquid fuels derived from plant materials (e.g., Davis et al., 2009; Kim et al., 2009; Robertson et al., 2008; Tilman et al., 2009) illustrate both the value of the method and some of the complexities in applying it. Because corn ethanol is produced from sugars created by photosynthesis, which removes CO 2 from ambient air, it might be assumed that substituting corn ethanol for gasoline produced from petroleum would substantially reduce net GHG emissions. However, LCA shows that these emissions reductions are much smaller (and in some cases may even result in higher GHG emissions) when the emissions associated with growing the corn, processing it into ethanol, and transporting it are accounted for. A substantial shift to corn-based ethanol (or other biofuels) could also lead to significant land use changes and changes in food prices. LCA also points out the importance of farming practices in shaping agricultural GHG emissions and to the potential for alternative plant inputs, such as cellulose, as a feedstock for liquid fuels.

The utility and potential applications of LCA have been recognized by government agencies in the United States and around the world (EPA, 2010a; European Commission Joint Research Centre, 2010) and by the private sector. For example, Walmart is emphasizing LCA in the sustainability assessment it is requiring of all its suppliers. 5 Useful as it is, LCA, like any policy analysis tool, has limitations. For example, the boundaries for the analysis must be defined, materials used for multiple purposes must be allocated appropriately, and the databases typically consulted to estimate emissions at each step of the analysis may have uncertainties. There is currently little standardization of these databases or of methods for drawing boundaries and allocating impacts. LCA may also identify multiple environmental impacts. For example, nuclear reactors or hydroelectric systems produce relatively few GHG emissions but have other environmental impacts (see, e.g., NRC, 2009d; NRC, 2009f), and it is not clear how to weight trade-offs across different types of impacts (but see Huijbregts et al., 2008). Finally, LCA is not familiar to most consumers and policy makers so its ultimate contribution to better decision making will depend on processes that encourage its use. These and other scientific challenges are starting to be addressed by the research community (see, e.g., Finnveden et al., 2009; Horne et al., 2009; Ramaswami et al., 2008); additional research on LCA would allow its application to an expanding range of problems and improve its use as a decision tool in adaptive risk-management strategies.

Environmental Benefit-Cost and Cost-Effectiveness Analyses

Integrated assessment models are intended to help decision makers understand the implications of taking different courses of action, but when there are many outcomes of concern, the problem of how to make trade-offs remains. Benefit-cost analysis is a common method for making trade-offs across outcomes and thus linking modeling to the decision-support systems (see Chapter 17 ). Benefit-cost analysis defines each outcome as either a benefit or a cost, assigns a value to each of the projected outcomes, weights them by the degree of certainty associated with the projection of outcomes, and discounts outcomes that occur in the future. Then, by comparing the ratio of benefits to costs (or using a similar metric), benefit-cost analysis allows for comparisons across alternative decisions, including across different policy options.

As discussed in Chapter 17 , the current limits of benefit-cost analysis applied to global climate change decision making are substantial. A research program focused on improvements to benefit-cost analysis and other valuation approaches, especially for ecosystem services (see below), could yield major contributions to improved decision making. Equity and distributional weighting issues, including issues related to weighting the interests of present versus future generations, are areas of particular interest. In all, five major research needs are identified in Chapter 17 : (1) estimating the social value of outcomes for which there is no market value, such as for many ecosystem services; (2) handling low-probability/high-consequence events; (3) developing better methods for comparing near-term outcomes to those that occur many years hence; (4) incorporating technological change into the assessment of outcomes; and (5) including equity consideration in the analysis.

In contrast to benefit-cost analysis, cost-effectiveness analysis compares costs of actions to predefined objectives, without assigning a monetary value to those objectives. Cost-effectiveness analysis, which is also discussed in Chapter 17 , can be especially useful when there is only one policy objective, such as comparing alternative policies for pricing GHG emissions to reach a specific emissions budget or concentration target. Cost-effectiveness analysis avoids some of the difficulties of benefit-cost analysis. However, when more than one outcome matters to decision makers, cost-effectiveness analysis requires a technique for making trade-offs. Again, additional research can help to extend and improve such analyses.

Ecosystem Function and Ecosystem Services Models

Dynamic models of ecosystem processes and services translate what is known about biophysical functions of ecosystems and landscapes or water systems into information about the provision of goods and services that are important to society (Daily and Matson, 2008). Such models are critical in allowing particular land, freshwater, or ocean use decisions to be evaluated in terms of resulting values to decision makers and society; for evaluating the effects of specific policies on the provision of goods and services; or for assessing trade-offs and side benefits of particular choices of land or water use. For example, Nelson et al. (2009) used ecosystem models to determine the potential for policies aimed at increasing carbon sequestration to also aid in species conservation. Such analyses can yield maps and other methods for conveying complex information in ways that can effectively engage decision makers and allow them to compare alternative decisions and their impacts on the ecosystem services of interest to them (MEA, 2005; Tallis and Kareiva, 2006).

Ecosystem process models and other methods for assessing the effects of policies on ecosystem goods and services (MEA, 2005; Turner et al., 1998; Wilson and Howarth, 2002) also provide critical information about the impacts and trade-offs associated with both climate-related and other choices, including impacts that might not otherwise be considered by decision makers (Daily et al., 2009). If and when such information is available, various market-based schemes and “payments for ecosystem services” approaches have been developed to provide a mechanism for compensating resource managers for the ecosystem services provided to other individuals and communities. The design and evaluation of such mechanisms requires collaboration across disciplines (including, for example, ecology and economics) and improvements in the ability to link incentives with trade-offs and synergies among multiple services (Jack et al., 2008). Valuation of goods and services that typically fall outside the realm of economic analysis remains a significant research challenge, although a number of approaches have been developed and applied (Farber et al., 2002).

Policy-Oriented Heuristic Models

Policy-oriented simulation methods can be a useful tool for informing policy makers about the basic characteristics of climate policy choices. These simulation methods can either involve informal linkages between policy choices, climate trajectories, and economic information, or be implemented in a formal integrated modeling framework. For example, the C-ROADS model 6 divides the countries of the world into blocs

with common situations or common interests (such as the developed nations), takes as input the commitments to GHG emissions reductions each bloc might be willing to make, and generates projected emissions, atmospheric CO 2 concentrations, temperature, and sea level rise over the next 100 years. The underlying model is simple enough to be used in real time by policy makers to ask “what if” questions that can inform negotiations. It can also be used in combination with gaming simulations in which individuals or teams take on the roles of blocs of countries and negotiate with each other to simulate not only the climate system but also the international negotiation process. When such simplified models are used, however, it is important to ensure that the simplified representations of complex processes are backed up, supported, and verified by more comprehensive models that can simulate the full range of critical processes in both the Earth system and human systems.

Heuristic models and exercises have also been developed that engage decision makers, scientists, and others in planning exercises and gaming to explore futures. Such tools are particularly well developed for military and business applications but have also been applied to climate change, including in processes that engage citizens (Poumadère et al., 2008; Toth and Hizsnyik, 2008). Though not predictive, such models and exercises can provide unexpected insights into future possibilities, especially those that involve human interactions. They can also be powerful tools for helping decision makers understand and develop strategies to cope with uncertainty, especially if coupled with improved visualization techniques (Sheppard, 2005; Sheppard and Meitner, 2005).

Metrics and Indicators

Metrics and indicators are critical tools for monitoring climate change, understanding vulnerability and adaptive capacity, and evaluating the effectiveness of actions taken to respond to climate change. While research on indicators has been a focus of attention for several decades (Dietz et al., 2009c; Orians and Policansky, 2009; Parris and Kates, 2003; York, 2009), progress is needed to improve integration of physical indicators with emerging indicators of ecosystem health and human well-being (NRC, 2005c). Developing reliable and valid approaches for measuring and monitoring sustainable well-being (that is, approaches that account for multiple dimensions of human well-being, the social and environmental factors that contribute to it, and the relative efficiency with which nations, regions, and communities produce it) would greatly aid adaptive risk management (see Box 3.1 ) by providing guidance on the overall effectiveness of actions taken (or not taken) in response to climate change and other risks.

Development of and improvements in metrics or indicators that span and integrate all relevant physical, chemical, biological, and socioeconomic domains are needed to help guide various actions taken to respond to climate change. Such metrics should focus on the “vitals” of the Earth system, such as freshwater and food availability, ecosystem health, and human well-being, but should also be flexible and, to the extent allowed by present understanding, attempt to identify possible indicators of tipping points or abrupt changes in both the climate system and related human and environmental systems. Many candidate metrics and indicators exist, but additional research will be needed to test, refine, and extend these measures.

One key element in this research area is the development of more refined metrics and indicators of social change. For example, gross domestic product (GDP) is a well-developed measure of economic transactions that is often interpreted as a measure of overall human well-being, but GDP was not designed for this use and may not be a good indicator of either collective or average well-being (Hecht, 2005). A variety of efforts are under way to develop alternative indicators of both human well-being and of human impact on the environment that may help monitor social and environmental change and the link between them (Frey, 2008; Hecht, 2005; Krueger, 2009; Parris and Kates, 2003; Wackernagel et al., 2002; World Bank, 2006).

Certification Systems and Standards

A number of certification systems have emerged in recent decades to identify products or services with certain environmental or social attributes, assist in auditing compliance with environmental or resource management standards, and to inform consumers about different aspects of the products they consume (Dilling and Farhar, 2007; NRC, 2010d). In the context of climate change, certification systems and standards are sets of rules and procedures that are intended to ensure that sellers of credits are following steps that ensure that CO 2 emissions are actually being reduced (see Chapter 17 ). Certification systems typically span a product’s entire supply chain, from source materials or activities to end consumer. Performance standards are frequently set and monitored by third-party certifiers, and the “label” is typically the indicator of compliance with the standards of the system.

Natural resource certification schemes, many of which originated in the forestry sector, have inspired use in fisheries, tourism, some crop production, and park management (Auld et al., 2008; Conroy, 2006). Variants are also used in the health and building sectors and in even more complicated supply chains associated with other markets. Certification schemes are increasingly being used to address climate change issues,

especially issues related to energy use, land use, and green infrastructure, as well as broader sustainability issues (Auld et al., 2008; Vine et al., 2001). With such a diversification and proliferation of certification systems and standards, credibility, equitability, usability, and unintended consequences have become important challenges. These can all be evaluated through scientific research efforts (NRC, 2010d; Oldenburg et al., 2009). For example, research will be needed to improve understanding and analysis of the credibility and effectiveness of specific approaches, including positive and negative unintended consequences. Analysis in this domain, as with many of the others discussed in this chapter, will require integrative and interdisciplinary approaches that span a range of scientific disciplines and also require input from decision makers.

CHAPTER CONCLUSION

Climate change has the potential to intersect with virtually every aspect of human activity, with significant repercussions for things that people care about. The risks associated with climate change have motivated many decision makers to begin to take or plan actions to limit climate change or adapt to its impacts. These actions and plans, in turn, place new demands on climate change research. While scientific research alone cannot determine what actions should be taken in response to climate change, it can inform, assist, and support those who must make these important decisions.

The seven integrative, crosscutting research themes described in this chapter are critical elements of a climate research endeavor that seeks to both improve understanding and to provide input to and support for climate-related actions and decisions, and these themes would form a powerful foundation for an expanded climate change research enterprise. Such an enterprise would continue to improve our understanding of the causes, consequences, and complexities of climate change from an integrated perspective that considers both human systems and the Earth system. It would also inform, evaluate, and improve society’s responses to climate change, including actions that are or could be taken to limit the magnitude of climate change, adapt to its impacts, or support more effective climate-related decisions.

Several of the themes in this chapter represent new or understudied elements of climate change science, while others represent established research programs. Progress in all seven themes is needed (either iteratively or concurrently) because they are synergistic. Meeting this expanded set of research requirements will require changes in the way climate change research is supported, organized, and conducted. Chapter 5 discusses how this broader, more integrated climate change research enterprise might be formulated, organized, and conducted, and provides recommendations for the new era of climate change research.

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Climate change is occurring, is caused largely by human activities, and poses significant risks for—and in many cases is already affecting—a broad range of human and natural systems. The compelling case for these conclusions is provided in Advancing the Science of Climate Change , part of a congressionally requested suite of studies known as America's Climate Choices. While noting that there is always more to learn and that the scientific process is never closed, the book shows that hypotheses about climate change are supported by multiple lines of evidence and have stood firm in the face of serious debate and careful evaluation of alternative explanations.

As decision makers respond to these risks, the nation's scientific enterprise can contribute through research that improves understanding of the causes and consequences of climate change and also is useful to decision makers at the local, regional, national, and international levels. The book identifies decisions being made in 12 sectors, ranging from agriculture to transportation, to identify decisions being made in response to climate change.

Advancing the Science of Climate Change calls for a single federal entity or program to coordinate a national, multidisciplinary research effort aimed at improving both understanding and responses to climate change. Seven cross-cutting research themes are identified to support this scientific enterprise. In addition, leaders of federal climate research should redouble efforts to deploy a comprehensive climate observing system, improve climate models and other analytical tools, invest in human capital, and improve linkages between research and decisions by forming partnerships with action-oriented programs.

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A review of the global climate change impacts, adaptation, and sustainable mitigation measures

Kashif abbass.

1 School of Economics and Management, Nanjing University of Science and Technology, Nanjing, 210094 People’s Republic of China

Muhammad Zeeshan Qasim

2 Jiangsu Key Laboratory of Chemical Pollution Control and Resources Reuse, School of Environmental and Biological Engineering, Nanjing University of Science and Technology, Xiaolingwei 200, Nanjing, 210094 People’s Republic of China

Huaming Song

Muntasir murshed.

3 School of Business and Economics, North South University, Dhaka, 1229 Bangladesh

4 Department of Journalism, Media and Communications, Daffodil International University, Dhaka, Bangladesh

Haider Mahmood

5 Department of Finance, College of Business Administration, Prince Sattam Bin Abdulaziz University, 173, Alkharj, 11942 Saudi Arabia

Ijaz Younis

Associated data.

Data sources and relevant links are provided in the paper to access data.

Climate change is a long-lasting change in the weather arrays across tropics to polls. It is a global threat that has embarked on to put stress on various sectors. This study is aimed to conceptually engineer how climate variability is deteriorating the sustainability of diverse sectors worldwide. Specifically, the agricultural sector’s vulnerability is a globally concerning scenario, as sufficient production and food supplies are threatened due to irreversible weather fluctuations. In turn, it is challenging the global feeding patterns, particularly in countries with agriculture as an integral part of their economy and total productivity. Climate change has also put the integrity and survival of many species at stake due to shifts in optimum temperature ranges, thereby accelerating biodiversity loss by progressively changing the ecosystem structures. Climate variations increase the likelihood of particular food and waterborne and vector-borne diseases, and a recent example is a coronavirus pandemic. Climate change also accelerates the enigma of antimicrobial resistance, another threat to human health due to the increasing incidence of resistant pathogenic infections. Besides, the global tourism industry is devastated as climate change impacts unfavorable tourism spots. The methodology investigates hypothetical scenarios of climate variability and attempts to describe the quality of evidence to facilitate readers’ careful, critical engagement. Secondary data is used to identify sustainability issues such as environmental, social, and economic viability. To better understand the problem, gathered the information in this report from various media outlets, research agencies, policy papers, newspapers, and other sources. This review is a sectorial assessment of climate change mitigation and adaptation approaches worldwide in the aforementioned sectors and the associated economic costs. According to the findings, government involvement is necessary for the country’s long-term development through strict accountability of resources and regulations implemented in the past to generate cutting-edge climate policy. Therefore, mitigating the impacts of climate change must be of the utmost importance, and hence, this global threat requires global commitment to address its dreadful implications to ensure global sustenance.

Introduction

Worldwide observed and anticipated climatic changes for the twenty-first century and global warming are significant global changes that have been encountered during the past 65 years. Climate change (CC) is an inter-governmental complex challenge globally with its influence over various components of the ecological, environmental, socio-political, and socio-economic disciplines (Adger et al.  2005 ; Leal Filho et al.  2021 ; Feliciano et al.  2022 ). Climate change involves heightened temperatures across numerous worlds (Battisti and Naylor  2009 ; Schuurmans  2021 ; Weisheimer and Palmer  2005 ; Yadav et al.  2015 ). With the onset of the industrial revolution, the problem of earth climate was amplified manifold (Leppänen et al.  2014 ). It is reported that the immediate attention and due steps might increase the probability of overcoming its devastating impacts. It is not plausible to interpret the exact consequences of climate change (CC) on a sectoral basis (Izaguirre et al.  2021 ; Jurgilevich et al.  2017 ), which is evident by the emerging level of recognition plus the inclusion of climatic uncertainties at both local and national level of policymaking (Ayers et al.  2014 ).

Climate change is characterized based on the comprehensive long-haul temperature and precipitation trends and other components such as pressure and humidity level in the surrounding environment. Besides, the irregular weather patterns, retreating of global ice sheets, and the corresponding elevated sea level rise are among the most renowned international and domestic effects of climate change (Lipczynska-Kochany  2018 ; Michel et al.  2021 ; Murshed and Dao 2020 ). Before the industrial revolution, natural sources, including volcanoes, forest fires, and seismic activities, were regarded as the distinct sources of greenhouse gases (GHGs) such as CO 2 , CH 4 , N 2 O, and H 2 O into the atmosphere (Murshed et al. 2020 ; Hussain et al.  2020 ; Sovacool et al.  2021 ; Usman and Balsalobre-Lorente 2022 ; Murshed 2022 ). United Nations Framework Convention on Climate Change (UNFCCC) struck a major agreement to tackle climate change and accelerate and intensify the actions and investments required for a sustainable low-carbon future at Conference of the Parties (COP-21) in Paris on December 12, 2015. The Paris Agreement expands on the Convention by bringing all nations together for the first time in a single cause to undertake ambitious measures to prevent climate change and adapt to its impacts, with increased funding to assist developing countries in doing so. As so, it marks a turning point in the global climate fight. The core goal of the Paris Agreement is to improve the global response to the threat of climate change by keeping the global temperature rise this century well below 2 °C over pre-industrial levels and to pursue efforts to limit the temperature increase to 1.5° C (Sharma et al. 2020 ; Sharif et al. 2020 ; Chien et al. 2021 .

Furthermore, the agreement aspires to strengthen nations’ ability to deal with the effects of climate change and align financing flows with low GHG emissions and climate-resilient paths (Shahbaz et al. 2019 ; Anwar et al. 2021 ; Usman et al. 2022a ). To achieve these lofty goals, adequate financial resources must be mobilized and provided, as well as a new technology framework and expanded capacity building, allowing developing countries and the most vulnerable countries to act under their respective national objectives. The agreement also establishes a more transparent action and support mechanism. All Parties are required by the Paris Agreement to do their best through “nationally determined contributions” (NDCs) and to strengthen these efforts in the coming years (Balsalobre-Lorente et al. 2020 ). It includes obligations that all Parties regularly report on their emissions and implementation activities. A global stock-take will be conducted every five years to review collective progress toward the agreement’s goal and inform the Parties’ future individual actions. The Paris Agreement became available for signature on April 22, 2016, Earth Day, at the United Nations Headquarters in New York. On November 4, 2016, it went into effect 30 days after the so-called double threshold was met (ratification by 55 nations accounting for at least 55% of world emissions). More countries have ratified and continue to ratify the agreement since then, bringing 125 Parties in early 2017. To fully operationalize the Paris Agreement, a work program was initiated in Paris to define mechanisms, processes, and recommendations on a wide range of concerns (Murshed et al. 2021 ). Since 2016, Parties have collaborated in subsidiary bodies (APA, SBSTA, and SBI) and numerous formed entities. The Conference of the Parties functioning as the meeting of the Parties to the Paris Agreement (CMA) convened for the first time in November 2016 in Marrakesh in conjunction with COP22 and made its first two resolutions. The work plan is scheduled to be finished by 2018. Some mitigation and adaptation strategies to reduce the emission in the prospective of Paris agreement are following firstly, a long-term goal of keeping the increase in global average temperature to well below 2 °C above pre-industrial levels, secondly, to aim to limit the rise to 1.5 °C, since this would significantly reduce risks and the impacts of climate change, thirdly, on the need for global emissions to peak as soon as possible, recognizing that this will take longer for developing countries, lastly, to undertake rapid reductions after that under the best available science, to achieve a balance between emissions and removals in the second half of the century. On the other side, some adaptation strategies are; strengthening societies’ ability to deal with the effects of climate change and to continue & expand international assistance for developing nations’ adaptation.

However, anthropogenic activities are currently regarded as most accountable for CC (Murshed et al. 2022 ). Apart from the industrial revolution, other anthropogenic activities include excessive agricultural operations, which further involve the high use of fuel-based mechanization, burning of agricultural residues, burning fossil fuels, deforestation, national and domestic transportation sectors, etc. (Huang et al.  2016 ). Consequently, these anthropogenic activities lead to climatic catastrophes, damaging local and global infrastructure, human health, and total productivity. Energy consumption has mounted GHGs levels concerning warming temperatures as most of the energy production in developing countries comes from fossil fuels (Balsalobre-Lorente et al. 2022 ; Usman et al. 2022b ; Abbass et al. 2021a ; Ishikawa-Ishiwata and Furuya  2022 ).

This review aims to highlight the effects of climate change in a socio-scientific aspect by analyzing the existing literature on various sectorial pieces of evidence globally that influence the environment. Although this review provides a thorough examination of climate change and its severe affected sectors that pose a grave danger for global agriculture, biodiversity, health, economy, forestry, and tourism, and to purpose some practical prophylactic measures and mitigation strategies to be adapted as sound substitutes to survive from climate change (CC) impacts. The societal implications of irregular weather patterns and other effects of climate changes are discussed in detail. Some numerous sustainable mitigation measures and adaptation practices and techniques at the global level are discussed in this review with an in-depth focus on its economic, social, and environmental aspects. Methods of data collection section are included in the supplementary information.

Review methodology

Related study and its objectives.

Today, we live an ordinary life in the beautiful digital, globalized world where climate change has a decisive role. What happens in one country has a massive influence on geographically far apart countries, which points to the current crisis known as COVID-19 (Sarkar et al.  2021 ). The most dangerous disease like COVID-19 has affected the world’s climate changes and economic conditions (Abbass et al. 2022 ; Pirasteh-Anosheh et al.  2021 ). The purpose of the present study is to review the status of research on the subject, which is based on “Global Climate Change Impacts, adaptation, and sustainable mitigation measures” by systematically reviewing past published and unpublished research work. Furthermore, the current study seeks to comment on research on the same topic and suggest future research on the same topic. Specifically, the present study aims: The first one is, organize publications to make them easy and quick to find. Secondly, to explore issues in this area, propose an outline of research for future work. The third aim of the study is to synthesize the previous literature on climate change, various sectors, and their mitigation measurement. Lastly , classify the articles according to the different methods and procedures that have been adopted.

Review methodology for reviewers

This review-based article followed systematic literature review techniques that have proved the literature review as a rigorous framework (Benita  2021 ; Tranfield et al.  2003 ). Moreover, we illustrate in Fig.  1 the search method that we have started for this research. First, finalized the research theme to search literature (Cooper et al.  2018 ). Second, used numerous research databases to search related articles and download from the database (Web of Science, Google Scholar, Scopus Index Journals, Emerald, Elsevier Science Direct, Springer, and Sciverse). We focused on various articles, with research articles, feedback pieces, short notes, debates, and review articles published in scholarly journals. Reports used to search for multiple keywords such as “Climate Change,” “Mitigation and Adaptation,” “Department of Agriculture and Human Health,” “Department of Biodiversity and Forestry,” etc.; in summary, keyword list and full text have been made. Initially, the search for keywords yielded a large amount of literature.

Methodology search for finalized articles for investigations.

Source : constructed by authors

Since 2020, it has been impossible to review all the articles found; some restrictions have been set for the literature exhibition. The study searched 95 articles on a different database mentioned above based on the nature of the study. It excluded 40 irrelevant papers due to copied from a previous search after readings tiles, abstract and full pieces. The criteria for inclusion were: (i) articles focused on “Global Climate Change Impacts, adaptation, and sustainable mitigation measures,” and (ii) the search key terms related to study requirements. The complete procedure yielded 55 articles for our study. We repeat our search on the “Web of Science and Google Scholars” database to enhance the search results and check the referenced articles.

In this study, 55 articles are reviewed systematically and analyzed for research topics and other aspects, such as the methods, contexts, and theories used in these studies. Furthermore, this study analyzes closely related areas to provide unique research opportunities in the future. The study also discussed future direction opportunities and research questions by understanding the research findings climate changes and other affected sectors. The reviewed paper framework analysis process is outlined in Fig.  2 .

Framework of the analysis Process.

Natural disasters and climate change’s socio-economic consequences

Natural and environmental disasters can be highly variable from year to year; some years pass with very few deaths before a significant disaster event claims many lives (Symanski et al.  2021 ). Approximately 60,000 people globally died from natural disasters each year on average over the past decade (Ritchie and Roser  2014 ; Wiranata and Simbolon  2021 ). So, according to the report, around 0.1% of global deaths. Annual variability in the number and share of deaths from natural disasters in recent decades are shown in Fig.  3 . The number of fatalities can be meager—sometimes less than 10,000, and as few as 0.01% of all deaths. But shock events have a devastating impact: the 1983–1985 famine and drought in Ethiopia; the 2004 Indian Ocean earthquake and tsunami; Cyclone Nargis, which struck Myanmar in 2008; and the 2010 Port-au-Prince earthquake in Haiti and now recent example is COVID-19 pandemic (Erman et al.  2021 ). These events pushed global disaster deaths to over 200,000—more than 0.4% of deaths in these years. Low-frequency, high-impact events such as earthquakes and tsunamis are not preventable, but such high losses of human life are. Historical evidence shows that earlier disaster detection, more robust infrastructure, emergency preparedness, and response programmers have substantially reduced disaster deaths worldwide. Low-income is also the most vulnerable to disasters; improving living conditions, facilities, and response services in these areas would be critical in reducing natural disaster deaths in the coming decades.

Global deaths from natural disasters, 1978 to 2020.

Source EMDAT ( 2020 )

The interior regions of the continent are likely to be impacted by rising temperatures (Dimri et al.  2018 ; Goes et al.  2020 ; Mannig et al.  2018 ; Schuurmans  2021 ). Weather patterns change due to the shortage of natural resources (water), increase in glacier melting, and rising mercury are likely to cause extinction to many planted species (Gampe et al.  2016 ; Mihiretu et al.  2021 ; Shaffril et al.  2018 ).On the other hand, the coastal ecosystem is on the verge of devastation (Perera et al.  2018 ; Phillips  2018 ). The temperature rises, insect disease outbreaks, health-related problems, and seasonal and lifestyle changes are persistent, with a strong probability of these patterns continuing in the future (Abbass et al. 2021c ; Hussain et al.  2018 ). At the global level, a shortage of good infrastructure and insufficient adaptive capacity are hammering the most (IPCC  2013 ). In addition to the above concerns, a lack of environmental education and knowledge, outdated consumer behavior, a scarcity of incentives, a lack of legislation, and the government’s lack of commitment to climate change contribute to the general public’s concerns. By 2050, a 2 to 3% rise in mercury and a drastic shift in rainfall patterns may have serious consequences (Huang et al. 2022 ; Gorst et al.  2018 ). Natural and environmental calamities caused huge losses globally, such as decreased agriculture outputs, rehabilitation of the system, and rebuilding necessary technologies (Ali and Erenstein  2017 ; Ramankutty et al.  2018 ; Yu et al.  2021 ) (Table ​ (Table1). 1 ). Furthermore, in the last 3 or 4 years, the world has been plagued by smog-related eye and skin diseases, as well as a rise in road accidents due to poor visibility.

Main natural danger statistics for 1985–2020 at the global level

Source: EM-DAT ( 2020 )

Climate change and agriculture

Global agriculture is the ultimate sector responsible for 30–40% of all greenhouse emissions, which makes it a leading industry predominantly contributing to climate warming and significantly impacted by it (Grieg; Mishra et al.  2021 ; Ortiz et al.  2021 ; Thornton and Lipper  2014 ). Numerous agro-environmental and climatic factors that have a dominant influence on agriculture productivity (Pautasso et al.  2012 ) are significantly impacted in response to precipitation extremes including floods, forest fires, and droughts (Huang  2004 ). Besides, the immense dependency on exhaustible resources also fuels the fire and leads global agriculture to become prone to devastation. Godfray et al. ( 2010 ) mentioned that decline in agriculture challenges the farmer’s quality of life and thus a significant factor to poverty as the food and water supplies are critically impacted by CC (Ortiz et al.  2021 ; Rosenzweig et al.  2014 ). As an essential part of the economic systems, especially in developing countries, agricultural systems affect the overall economy and potentially the well-being of households (Schlenker and Roberts  2009 ). According to the report published by the Intergovernmental Panel on Climate Change (IPCC), atmospheric concentrations of greenhouse gases, i.e., CH 4, CO 2 , and N 2 O, are increased in the air to extraordinary levels over the last few centuries (Usman and Makhdum 2021 ; Stocker et al.  2013 ). Climate change is the composite outcome of two different factors. The first is the natural causes, and the second is the anthropogenic actions (Karami 2012 ). It is also forecasted that the world may experience a typical rise in temperature stretching from 1 to 3.7 °C at the end of this century (Pachauri et al. 2014 ). The world’s crop production is also highly vulnerable to these global temperature-changing trends as raised temperatures will pose severe negative impacts on crop growth (Reidsma et al. 2009 ). Some of the recent modeling about the fate of global agriculture is briefly described below.

Decline in cereal productivity

Crop productivity will also be affected dramatically in the next few decades due to variations in integral abiotic factors such as temperature, solar radiation, precipitation, and CO 2 . These all factors are included in various regulatory instruments like progress and growth, weather-tempted changes, pest invasions (Cammell and Knight 1992 ), accompanying disease snags (Fand et al. 2012 ), water supplies (Panda et al. 2003 ), high prices of agro-products in world’s agriculture industry, and preeminent quantity of fertilizer consumption. Lobell and field ( 2007 ) claimed that from 1962 to 2002, wheat crop output had condensed significantly due to rising temperatures. Therefore, during 1980–2011, the common wheat productivity trends endorsed extreme temperature events confirmed by Gourdji et al. ( 2013 ) around South Asia, South America, and Central Asia. Various other studies (Asseng, Cao, Zhang, and Ludwig 2009 ; Asseng et al. 2013 ; García et al. 2015 ; Ortiz et al. 2021 ) also proved that wheat output is negatively affected by the rising temperatures and also caused adverse effects on biomass productivity (Calderini et al. 1999 ; Sadras and Slafer 2012 ). Hereafter, the rice crop is also influenced by the high temperatures at night. These difficulties will worsen because the temperature will be rising further in the future owing to CC (Tebaldi et al. 2006 ). Another research conducted in China revealed that a 4.6% of rice production per 1 °C has happened connected with the advancement in night temperatures (Tao et al. 2006 ). Moreover, the average night temperature growth also affected rice indicia cultivar’s output pragmatically during 25 years in the Philippines (Peng et al. 2004 ). It is anticipated that the increase in world average temperature will also cause a substantial reduction in yield (Hatfield et al. 2011 ; Lobell and Gourdji 2012 ). In the southern hemisphere, Parry et al. ( 2007 ) noted a rise of 1–4 °C in average daily temperatures at the end of spring season unti the middle of summers, and this raised temperature reduced crop output by cutting down the time length for phenophases eventually reduce the yield (Hatfield and Prueger 2015 ; R. Ortiz 2008 ). Also, world climate models have recommended that humid and subtropical regions expect to be plentiful prey to the upcoming heat strokes (Battisti and Naylor 2009 ). Grain production is the amalgamation of two constituents: the average weight and the grain output/m 2 , however, in crop production. Crop output is mainly accredited to the grain quantity (Araus et al. 2008 ; Gambín and Borrás 2010 ). In the times of grain set, yield resources are mainly strewn between hitherto defined components, i.e., grain usual weight and grain output, which presents a trade-off between them (Gambín and Borrás 2010 ) beside disparities in per grain integration (B. L. Gambín et al. 2006 ). In addition to this, the maize crop is also susceptible to raised temperatures, principally in the flowering stage (Edreira and Otegui 2013 ). In reality, the lower grain number is associated with insufficient acclimatization due to intense photosynthesis and higher respiration and the high-temperature effect on the reproduction phenomena (Edreira and Otegui 2013 ). During the flowering phase, maize visible to heat (30–36 °C) seemed less anthesis-silking intermissions (Edreira et al. 2011 ). Another research by Dupuis and Dumas ( 1990 ) proved that a drop in spikelet when directly visible to high temperatures above 35 °C in vitro pollination. Abnormalities in kernel number claimed by Vega et al. ( 2001 ) is related to conceded plant development during a flowering phase that is linked with the active ear growth phase and categorized as a critical phase for approximation of kernel number during silking (Otegui and Bonhomme 1998 ).

The retort of rice output to high temperature presents disparities in flowering patterns, and seed set lessens and lessens grain weight (Qasim et al. 2020 ; Qasim, Hammad, Maqsood, Tariq, & Chawla). During the daytime, heat directly impacts flowers which lessens the thesis period and quickens the earlier peak flowering (Tao et al. 2006 ). Antagonistic effect of higher daytime temperature d on pollen sprouting proposed seed set decay, whereas, seed set was lengthily reduced than could be explicated by pollen growing at high temperatures 40◦C (Matsui et al. 2001 ).

The decline in wheat output is linked with higher temperatures, confirmed in numerous studies (Semenov 2009 ; Stone and Nicolas 1994 ). High temperatures fast-track the arrangements of plant expansion (Blum et al. 2001 ), diminution photosynthetic process (Salvucci and Crafts‐Brandner 2004 ), and also considerably affect the reproductive operations (Farooq et al. 2011 ).

The destructive impacts of CC induced weather extremes to deteriorate the integrity of crops (Chaudhary et al. 2011 ), e.g., Spartan cold and extreme fog cause falling and discoloration of betel leaves (Rosenzweig et al. 2001 ), giving them a somehow reddish appearance, squeezing of lemon leaves (Pautasso et al. 2012 ), as well as root rot of pineapple, have reported (Vedwan and Rhoades 2001 ). Henceforth, in tackling the disruptive effects of CC, several short-term and long-term management approaches are the crucial need of time (Fig.  4 ). Moreover, various studies (Chaudhary et al. 2011 ; Patz et al. 2005 ; Pautasso et al. 2012 ) have demonstrated adapting trends such as ameliorating crop diversity can yield better adaptability towards CC.

Schematic description of potential impacts of climate change on the agriculture sector and the appropriate mitigation and adaptation measures to overcome its impact.

Climate change impacts on biodiversity

Global biodiversity is among the severe victims of CC because it is the fastest emerging cause of species loss. Studies demonstrated that the massive scale species dynamics are considerably associated with diverse climatic events (Abraham and Chain 1988 ; Manes et al. 2021 ; A. M. D. Ortiz et al. 2021 ). Both the pace and magnitude of CC are altering the compatible habitat ranges for living entities of marine, freshwater, and terrestrial regions. Alterations in general climate regimes influence the integrity of ecosystems in numerous ways, such as variation in the relative abundance of species, range shifts, changes in activity timing, and microhabitat use (Bates et al. 2014 ). The geographic distribution of any species often depends upon its ability to tolerate environmental stresses, biological interactions, and dispersal constraints. Hence, instead of the CC, the local species must only accept, adapt, move, or face extinction (Berg et al. 2010 ). So, the best performer species have a better survival capacity for adjusting to new ecosystems or a decreased perseverance to survive where they are already situated (Bates et al. 2014 ). An important aspect here is the inadequate habitat connectivity and access to microclimates, also crucial in raising the exposure to climate warming and extreme heatwave episodes. For example, the carbon sequestration rates are undergoing fluctuations due to climate-driven expansion in the range of global mangroves (Cavanaugh et al. 2014 ).

Similarly, the loss of kelp-forest ecosystems in various regions and its occupancy by the seaweed turfs has set the track for elevated herbivory by the high influx of tropical fish populations. Not only this, the increased water temperatures have exacerbated the conditions far away from the physiological tolerance level of the kelp communities (Vergés et al. 2016 ; Wernberg et al. 2016 ). Another pertinent danger is the devastation of keystone species, which even has more pervasive effects on the entire communities in that habitat (Zarnetske et al. 2012 ). It is particularly important as CC does not specify specific populations or communities. Eventually, this CC-induced redistribution of species may deteriorate carbon storage and the net ecosystem productivity (Weed et al. 2013 ). Among the typical disruptions, the prominent ones include impacts on marine and terrestrial productivity, marine community assembly, and the extended invasion of toxic cyanobacteria bloom (Fossheim et al. 2015 ).

The CC-impacted species extinction is widely reported in the literature (Beesley et al. 2019 ; Urban 2015 ), and the predictions of demise until the twenty-first century are dreadful (Abbass et al. 2019 ; Pereira et al. 2013 ). In a few cases, northward shifting of species may not be formidable as it allows mountain-dwelling species to find optimum climates. However, the migrant species may be trapped in isolated and incompatible habitats due to losing topography and range (Dullinger et al. 2012 ). For example, a study indicated that the American pika has been extirpated or intensely diminished in some regions, primarily attributed to the CC-impacted extinction or at least local extirpation (Stewart et al. 2015 ). Besides, the anticipation of persistent responses to the impacts of CC often requires data records of several decades to rigorously analyze the critical pre and post CC patterns at species and ecosystem levels (Manes et al. 2021 ; Testa et al. 2018 ).

Nonetheless, the availability of such long-term data records is rare; hence, attempts are needed to focus on these profound aspects. Biodiversity is also vulnerable to the other associated impacts of CC, such as rising temperatures, droughts, and certain invasive pest species. For instance, a study revealed the changes in the composition of plankton communities attributed to rising temperatures. Henceforth, alterations in such aquatic producer communities, i.e., diatoms and calcareous plants, can ultimately lead to variation in the recycling of biological carbon. Moreover, such changes are characterized as a potential contributor to CO 2 differences between the Pleistocene glacial and interglacial periods (Kohfeld et al. 2005 ).

Climate change implications on human health

It is an understood corporality that human health is a significant victim of CC (Costello et al. 2009 ). According to the WHO, CC might be responsible for 250,000 additional deaths per year during 2030–2050 (Watts et al. 2015 ). These deaths are attributed to extreme weather-induced mortality and morbidity and the global expansion of vector-borne diseases (Lemery et al. 2021; Yang and Usman 2021 ; Meierrieks 2021 ; UNEP 2017 ). Here, some of the emerging health issues pertinent to this global problem are briefly described.

Climate change and antimicrobial resistance with corresponding economic costs

Antimicrobial resistance (AMR) is an up-surging complex global health challenge (Garner et al. 2019 ; Lemery et al. 2021 ). Health professionals across the globe are extremely worried due to this phenomenon that has critical potential to reverse almost all the progress that has been achieved so far in the health discipline (Gosling and Arnell 2016 ). A massive amount of antibiotics is produced by many pharmaceutical industries worldwide, and the pathogenic microorganisms are gradually developing resistance to them, which can be comprehended how strongly this aspect can shake the foundations of national and global economies (UNEP 2017 ). This statement is supported by the fact that AMR is not developing in a particular region or country. Instead, it is flourishing in every continent of the world (WHO 2018 ). This plague is heavily pushing humanity to the post-antibiotic era, in which currently antibiotic-susceptible pathogens will once again lead to certain endemics and pandemics after being resistant(WHO 2018 ). Undesirably, if this statement would become a factuality, there might emerge certain risks in undertaking sophisticated interventions such as chemotherapy, joint replacement cases, and organ transplantation (Su et al. 2018 ). Presently, the amplification of drug resistance cases has made common illnesses like pneumonia, post-surgical infections, HIV/AIDS, tuberculosis, malaria, etc., too difficult and costly to be treated or cure well (WHO 2018 ). From a simple example, it can be assumed how easily antibiotic-resistant strains can be transmitted from one person to another and ultimately travel across the boundaries (Berendonk et al. 2015 ). Talking about the second- and third-generation classes of antibiotics, e.g., most renowned generations of cephalosporin antibiotics that are more expensive, broad-spectrum, more toxic, and usually require more extended periods whenever prescribed to patients (Lemery et al. 2021 ; Pärnänen et al. 2019 ). This scenario has also revealed that the abundance of resistant strains of pathogens was also higher in the Southern part (WHO 2018 ). As southern parts are generally warmer than their counterparts, it is evident from this example how CC-induced global warming can augment the spread of antibiotic-resistant strains within the biosphere, eventually putting additional economic burden in the face of developing new and costlier antibiotics. The ARG exchange to susceptible bacteria through one of the potential mechanisms, transformation, transduction, and conjugation; Selection pressure can be caused by certain antibiotics, metals or pesticides, etc., as shown in Fig.  5 .

A typical interaction between the susceptible and resistant strains.

Source: Elsayed et al. ( 2021 ); Karkman et al. ( 2018 )

Certain studies highlighted that conventional urban wastewater treatment plants are typical hotspots where most bacterial strains exchange genetic material through horizontal gene transfer (Fig.  5 ). Although at present, the extent of risks associated with the antibiotic resistance found in wastewater is complicated; environmental scientists and engineers have particular concerns about the potential impacts of these antibiotic resistance genes on human health (Ashbolt 2015 ). At most undesirable and worst case, these antibiotic-resistant genes containing bacteria can make their way to enter into the environment (Pruden et al. 2013 ), irrigation water used for crops and public water supplies and ultimately become a part of food chains and food webs (Ma et al. 2019 ; D. Wu et al. 2019 ). This problem has been reported manifold in several countries (Hendriksen et al. 2019 ), where wastewater as a means of irrigated water is quite common.

Climate change and vector borne-diseases

Temperature is a fundamental factor for the sustenance of living entities regardless of an ecosystem. So, a specific living being, especially a pathogen, requires a sophisticated temperature range to exist on earth. The second essential component of CC is precipitation, which also impacts numerous infectious agents’ transport and dissemination patterns. Global rising temperature is a significant cause of many species extinction. On the one hand, this changing environmental temperature may be causing species extinction, and on the other, this warming temperature might favor the thriving of some new organisms. Here, it was evident that some pathogens may also upraise once non-evident or reported (Patz et al. 2000 ). This concept can be exemplified through certain pathogenic strains of microorganisms that how the likelihood of various diseases increases in response to climate warming-induced environmental changes (Table ​ (Table2 2 ).

Examples of how various environmental changes affect various infectious diseases in humans

Source: Aron and Patz ( 2001 )

A recent example is an outburst of coronavirus (COVID-19) in the Republic of China, causing pneumonia and severe acute respiratory complications (Cui et al. 2021 ; Song et al. 2021 ). The large family of viruses is harbored in numerous animals, bats, and snakes in particular (livescience.com) with the subsequent transfer into human beings. Hence, it is worth noting that the thriving of numerous vectors involved in spreading various diseases is influenced by Climate change (Ogden 2018 ; Santos et al. 2021 ).

Psychological impacts of climate change

Climate change (CC) is responsible for the rapid dissemination and exaggeration of certain epidemics and pandemics. In addition to the vast apparent impacts of climate change on health, forestry, agriculture, etc., it may also have psychological implications on vulnerable societies. It can be exemplified through the recent outburst of (COVID-19) in various countries around the world (Pal 2021 ). Besides, the victims of this viral infection have made healthy beings scarier and terrified. In the wake of such epidemics, people with common colds or fever are also frightened and must pass specific regulatory protocols. Living in such situations continuously terrifies the public and makes the stress familiar, which eventually makes them psychologically weak (npr.org).

CC boosts the extent of anxiety, distress, and other issues in public, pushing them to develop various mental-related problems. Besides, frequent exposure to extreme climatic catastrophes such as geological disasters also imprints post-traumatic disorder, and their ubiquitous occurrence paves the way to developing chronic psychological dysfunction. Moreover, repetitive listening from media also causes an increase in the person’s stress level (Association 2020 ). Similarly, communities living in flood-prone areas constantly live in extreme fear of drowning and die by floods. In addition to human lives, the flood-induced destruction of physical infrastructure is a specific reason for putting pressure on these communities (Ogden 2018 ). For instance, Ogden ( 2018 ) comprehensively denoted that Katrina’s Hurricane augmented the mental health issues in the victim communities.

Climate change impacts on the forestry sector

Forests are the global regulators of the world’s climate (FAO 2018 ) and have an indispensable role in regulating global carbon and nitrogen cycles (Rehman et al. 2021 ; Reichstein and Carvalhais 2019 ). Hence, disturbances in forest ecology affect the micro and macro-climates (Ellison et al. 2017 ). Climate warming, in return, has profound impacts on the growth and productivity of transboundary forests by influencing the temperature and precipitation patterns, etc. As CC induces specific changes in the typical structure and functions of ecosystems (Zhang et al. 2017 ) as well impacts forest health, climate change also has several devastating consequences such as forest fires, droughts, pest outbreaks (EPA 2018 ), and last but not the least is the livelihoods of forest-dependent communities. The rising frequency and intensity of another CC product, i.e., droughts, pose plenty of challenges to the well-being of global forests (Diffenbaugh et al. 2017 ), which is further projected to increase soon (Hartmann et al. 2018 ; Lehner et al. 2017 ; Rehman et al. 2021 ). Hence, CC induces storms, with more significant impacts also put extra pressure on the survival of the global forests (Martínez-Alvarado et al. 2018 ), significantly since their influences are augmented during higher winter precipitations with corresponding wetter soils causing weak root anchorage of trees (Brázdil et al. 2018 ). Surging temperature regimes causes alterations in usual precipitation patterns, which is a significant hurdle for the survival of temperate forests (Allen et al. 2010 ; Flannigan et al. 2013 ), letting them encounter severe stress and disturbances which adversely affects the local tree species (Hubbart et al. 2016 ; Millar and Stephenson 2015 ; Rehman et al. 2021 ).

Climate change impacts on forest-dependent communities

Forests are the fundamental livelihood resource for about 1.6 billion people worldwide; out of them, 350 million are distinguished with relatively higher reliance (Bank 2008 ). Agro-forestry-dependent communities comprise 1.2 billion, and 60 million indigenous people solely rely on forests and their products to sustain their lives (Sunderlin et al. 2005 ). For example, in the entire African continent, more than 2/3rd of inhabitants depend on forest resources and woodlands for their alimonies, e.g., food, fuelwood and grazing (Wasiq and Ahmad 2004 ). The livings of these people are more intensely affected by the climatic disruptions making their lives harder (Brown et al. 2014 ). On the one hand, forest communities are incredibly vulnerable to CC due to their livelihoods, cultural and spiritual ties as well as socio-ecological connections, and on the other, they are not familiar with the term “climate change.” (Rahman and Alam 2016 ). Among the destructive impacts of temperature and rainfall, disruption of the agroforestry crops with resultant downscale growth and yield (Macchi et al. 2008 ). Cruz ( 2015 ) ascribed that forest-dependent smallholder farmers in the Philippines face the enigma of delayed fruiting, more severe damages by insect and pest incidences due to unfavorable temperature regimes, and changed rainfall patterns.

Among these series of challenges to forest communities, their well-being is also distinctly vulnerable to CC. Though the detailed climate change impacts on human health have been comprehensively mentioned in the previous section, some studies have listed a few more devastating effects on the prosperity of forest-dependent communities. For instance, the Himalayan people have been experiencing frequent skin-borne diseases such as malaria and other skin diseases due to increasing mosquitoes, wild boar as well, and new wasps species, particularly in higher altitudes that were almost non-existent before last 5–10 years (Xu et al. 2008 ). Similarly, people living at high altitudes in Bangladesh have experienced frequent mosquito-borne calamities (Fardous; Sharma 2012 ). In addition, the pace of other waterborne diseases such as infectious diarrhea, cholera, pathogenic induced abdominal complications and dengue has also been boosted in other distinguished regions of Bangladesh (Cell 2009 ; Gunter et al. 2008 ).

Pest outbreak

Upscaling hotter climate may positively affect the mobile organisms with shorter generation times because they can scurry from harsh conditions than the immobile species (Fettig et al. 2013 ; Schoene and Bernier 2012 ) and are also relatively more capable of adapting to new environments (Jactel et al. 2019 ). It reveals that insects adapt quickly to global warming due to their mobility advantages. Due to past outbreaks, the trees (forests) are relatively more susceptible victims (Kurz et al. 2008 ). Before CC, the influence of factors mentioned earlier, i.e., droughts and storms, was existent and made the forests susceptible to insect pest interventions; however, the global forests remain steadfast, assiduous, and green (Jactel et al. 2019 ). The typical reasons could be the insect herbivores were regulated by several tree defenses and pressures of predation (Wilkinson and Sherratt 2016 ). As climate greatly influences these phenomena, the global forests cannot be so sedulous against such challenges (Jactel et al. 2019 ). Table ​ Table3 3 demonstrates some of the particular considerations with practical examples that are essential while mitigating the impacts of CC in the forestry sector.

Essential considerations while mitigating the climate change impacts on the forestry sector

Source : Fischer ( 2019 )

Climate change impacts on tourism

Tourism is a commercial activity that has roots in multi-dimensions and an efficient tool with adequate job generation potential, revenue creation, earning of spectacular foreign exchange, enhancement in cross-cultural promulgation and cooperation, a business tool for entrepreneurs and eventually for the country’s national development (Arshad et al. 2018 ; Scott 2021 ). Among a plethora of other disciplines, the tourism industry is also a distinct victim of climate warming (Gössling et al. 2012 ; Hall et al. 2015 ) as the climate is among the essential resources that enable tourism in particular regions as most preferred locations. Different places at different times of the year attract tourists both within and across the countries depending upon the feasibility and compatibility of particular weather patterns. Hence, the massive variations in these weather patterns resulting from CC will eventually lead to monumental challenges to the local economy in that specific area’s particular and national economy (Bujosa et al. 2015 ). For instance, the Intergovernmental Panel on Climate Change (IPCC) report demonstrated that the global tourism industry had faced a considerable decline in the duration of ski season, including the loss of some ski areas and the dramatic shifts in tourist destinations’ climate warming.

Furthermore, different studies (Neuvonen et al. 2015 ; Scott et al. 2004 ) indicated that various currently perfect tourist spots, e.g., coastal areas, splendid islands, and ski resorts, will suffer consequences of CC. It is also worth noting that the quality and potential of administrative management potential to cope with the influence of CC on the tourism industry is of crucial significance, which renders specific strengths of resiliency to numerous destinations to withstand against it (Füssel and Hildén 2014 ). Similarly, in the partial or complete absence of adequate socio-economic and socio-political capital, the high-demanding tourist sites scurry towards the verge of vulnerability. The susceptibility of tourism is based on different components such as the extent of exposure, sensitivity, life-supporting sectors, and capacity assessment factors (Füssel and Hildén 2014 ). It is obvious corporality that sectors such as health, food, ecosystems, human habitat, infrastructure, water availability, and the accessibility of a particular region are prone to CC. Henceforth, the sensitivity of these critical sectors to CC and, in return, the adaptive measures are a hallmark in determining the composite vulnerability of climate warming (Ionescu et al. 2009 ).

Moreover, the dependence on imported food items, poor hygienic conditions, and inadequate health professionals are dominant aspects affecting the local terrestrial and aquatic biodiversity. Meanwhile, the greater dependency on ecosystem services and its products also makes a destination more fragile to become a prey of CC (Rizvi et al. 2015 ). Some significant non-climatic factors are important indicators of a particular ecosystem’s typical health and functioning, e.g., resource richness and abundance portray the picture of ecosystem stability. Similarly, the species abundance is also a productive tool that ensures that the ecosystem has a higher buffering capacity, which is terrific in terms of resiliency (Roscher et al. 2013 ).

Climate change impacts on the economic sector

Climate plays a significant role in overall productivity and economic growth. Due to its increasingly global existence and its effect on economic growth, CC has become one of the major concerns of both local and international environmental policymakers (Ferreira et al. 2020 ; Gleditsch 2021 ; Abbass et al. 2021b ; Lamperti et al. 2021 ). The adverse effects of CC on the overall productivity factor of the agricultural sector are therefore significant for understanding the creation of local adaptation policies and the composition of productive climate policy contracts. Previous studies on CC in the world have already forecasted its effects on the agricultural sector. Researchers have found that global CC will impact the agricultural sector in different world regions. The study of the impacts of CC on various agrarian activities in other demographic areas and the development of relative strategies to respond to effects has become a focal point for researchers (Chandioet al. 2020 ; Gleditsch 2021 ; Mosavi et al. 2020 ).

With the rapid growth of global warming since the 1980s, the temperature has started increasing globally, which resulted in the incredible transformation of rain and evaporation in the countries. The agricultural development of many countries has been reliant, delicate, and susceptible to CC for a long time, and it is on the development of agriculture total factor productivity (ATFP) influence different crops and yields of farmers (Alhassan 2021 ; Wu  2020 ).

Food security and natural disasters are increasing rapidly in the world. Several major climatic/natural disasters have impacted local crop production in the countries concerned. The effects of these natural disasters have been poorly controlled by the development of the economies and populations and may affect human life as well. One example is China, which is among the world’s most affected countries, vulnerable to natural disasters due to its large population, harsh environmental conditions, rapid CC, low environmental stability, and disaster power. According to the January 2016 statistical survey, China experienced an economic loss of 298.3 billion Yuan, and about 137 million Chinese people were severely affected by various natural disasters (Xie et al. 2018 ).

Mitigation and adaptation strategies of climate changes

Adaptation and mitigation are the crucial factors to address the response to CC (Jahanzad et al. 2020 ). Researchers define mitigation on climate changes, and on the other hand, adaptation directly impacts climate changes like floods. To some extent, mitigation reduces or moderates greenhouse gas emission, and it becomes a critical issue both economically and environmentally (Botzen et al. 2021 ; Jahanzad et al. 2020 ; Kongsager 2018 ; Smit et al. 2000 ; Vale et al. 2021 ; Usman et al. 2021 ; Verheyen 2005 ).

Researchers have deep concern about the adaptation and mitigation methodologies in sectoral and geographical contexts. Agriculture, industry, forestry, transport, and land use are the main sectors to adapt and mitigate policies(Kärkkäinen et al. 2020 ; Waheed et al. 2021 ). Adaptation and mitigation require particular concern both at the national and international levels. The world has faced a significant problem of climate change in the last decades, and adaptation to these effects is compulsory for economic and social development. To adapt and mitigate against CC, one should develop policies and strategies at the international level (Hussain et al. 2020 ). Figure  6 depicts the list of current studies on sectoral impacts of CC with adaptation and mitigation measures globally.

Sectoral impacts of climate change with adaptation and mitigation measures.

Conclusion and future perspectives

Specific socio-agricultural, socio-economic, and physical systems are the cornerstone of psychological well-being, and the alteration in these systems by CC will have disastrous impacts. Climate variability, alongside other anthropogenic and natural stressors, influences human and environmental health sustainability. Food security is another concerning scenario that may lead to compromised food quality, higher food prices, and inadequate food distribution systems. Global forests are challenged by different climatic factors such as storms, droughts, flash floods, and intense precipitation. On the other hand, their anthropogenic wiping is aggrandizing their existence. Undoubtedly, the vulnerability scale of the world’s regions differs; however, appropriate mitigation and adaptation measures can aid the decision-making bodies in developing effective policies to tackle its impacts. Presently, modern life on earth has tailored to consistent climatic patterns, and accordingly, adapting to such considerable variations is of paramount importance. Because the faster changes in climate will make it harder to survive and adjust, this globally-raising enigma calls for immediate attention at every scale ranging from elementary community level to international level. Still, much effort, research, and dedication are required, which is the most critical time. Some policy implications can help us to mitigate the consequences of climate change, especially the most affected sectors like the agriculture sector;

Warming might lengthen the season in frost-prone growing regions (temperate and arctic zones), allowing for longer-maturing seasonal cultivars with better yields (Pfadenhauer 2020 ; Bonacci 2019 ). Extending the planting season may allow additional crops each year; when warming leads to frequent warmer months highs over critical thresholds, a split season with a brief summer fallow may be conceivable for short-period crops such as wheat barley, cereals, and many other vegetable crops. The capacity to prolong the planting season in tropical and subtropical places where the harvest season is constrained by precipitation or agriculture farming occurs after the year may be more limited and dependent on how precipitation patterns vary (Wu et al. 2017 ).

The genetic component is comprehensive for many yields, but it is restricted like kiwi fruit for a few. Ali et al. ( 2017 ) investigated how new crops will react to climatic changes (also stated in Mall et al. 2017 ). Hot temperature, drought, insect resistance; salt tolerance; and overall crop production and product quality increases would all be advantageous (Akkari 2016 ). Genetic mapping and engineering can introduce a greater spectrum of features. The adoption of genetically altered cultivars has been slowed, particularly in the early forecasts owing to the complexity in ensuring features are expediently expressed throughout the entire plant, customer concerns, economic profitability, and regulatory impediments (Wirehn 2018 ; Davidson et al. 2016 ).

To get the full benefit of the CO 2 would certainly require additional nitrogen and other fertilizers. Nitrogen not consumed by the plants may be excreted into groundwater, discharged into water surface, or emitted from the land, soil nitrous oxide when large doses of fertilizer are sprayed. Increased nitrogen levels in groundwater sources have been related to human chronic illnesses and impact marine ecosystems. Cultivation, grain drying, and other field activities have all been examined in depth in the studies (Barua et al. 2018 ).

• The technological and socio-economic adaptation

The policy consequence of the causative conclusion is that as a source of alternative energy, biofuel production is one of the routes that explain oil price volatility separate from international macroeconomic factors. Even though biofuel production has just begun in a few sample nations, there is still a tremendous worldwide need for feedstock to satisfy industrial expansion in China and the USA, which explains the food price relationship to the global oil price. Essentially, oil-exporting countries may create incentives in their economies to increase food production. It may accomplish by giving farmers financing, seedlings, fertilizers, and farming equipment. Because of the declining global oil price and, as a result, their earnings from oil export, oil-producing nations may be unable to subsidize food imports even in the near term. As a result, these countries can boost the agricultural value chain for export. It may be accomplished through R&D and adding value to their food products to increase income by correcting exchange rate misalignment and adverse trade terms. These nations may also diversify their economies away from oil, as dependence on oil exports alone is no longer economically viable given the extreme volatility of global oil prices. Finally, resource-rich and oil-exporting countries can convert to non-food renewable energy sources such as solar, hydro, coal, wind, wave, and tidal energy. By doing so, both world food and oil supplies would be maintained rather than harmed.

IRENA’s modeling work shows that, if a comprehensive policy framework is in place, efforts toward decarbonizing the energy future will benefit economic activity, jobs (outweighing losses in the fossil fuel industry), and welfare. Countries with weak domestic supply chains and a large reliance on fossil fuel income, in particular, must undertake structural reforms to capitalize on the opportunities inherent in the energy transition. Governments continue to give major policy assistance to extract fossil fuels, including tax incentives, financing, direct infrastructure expenditures, exemptions from environmental regulations, and other measures. The majority of major oil and gas producing countries intend to increase output. Some countries intend to cut coal output, while others plan to maintain or expand it. While some nations are beginning to explore and execute policies aimed at a just and equitable transition away from fossil fuel production, these efforts have yet to impact major producing countries’ plans and goals. Verifiable and comparable data on fossil fuel output and assistance from governments and industries are critical to closing the production gap. Governments could increase openness by declaring their production intentions in their climate obligations under the Paris Agreement.

It is firmly believed that achieving the Paris Agreement commitments is doubtlful without undergoing renewable energy transition across the globe (Murshed 2020 ; Zhao et al. 2022 ). Policy instruments play the most important role in determining the degree of investment in renewable energy technology. This study examines the efficacy of various policy strategies in the renewable energy industry of multiple nations. Although its impact is more visible in established renewable energy markets, a renewable portfolio standard is also a useful policy instrument. The cost of producing renewable energy is still greater than other traditional energy sources. Furthermore, government incentives in the R&D sector can foster innovation in this field, resulting in cost reductions in the renewable energy industry. These nations may export their technologies and share their policy experiences by forming networks among their renewable energy-focused organizations. All policy measures aim to reduce production costs while increasing the proportion of renewables to a country’s energy system. Meanwhile, long-term contracts with renewable energy providers, government commitment and control, and the establishment of long-term goals can assist developing nations in deploying renewable energy technology in their energy sector.

Author contribution

KA: Writing the original manuscript, data collection, data analysis, Study design, Formal analysis, Visualization, Revised draft, Writing-review, and editing. MZQ: Writing the original manuscript, data collection, data analysis, Writing-review, and editing. HS: Contribution to the contextualization of the theme, Conceptualization, Validation, Supervision, literature review, Revised drapt, and writing review and editing. MM: Writing review and editing, compiling the literature review, language editing. HM: Writing review and editing, compiling the literature review, language editing. IY: Contribution to the contextualization of the theme, literature review, and writing review and editing.

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The authors declare no competing interests.

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Contributor Information

Kashif Abbass, Email: nc.ude.tsujn@ssabbafihsak .

Muhammad Zeeshan Qasim, Email: moc.kooltuo@888misaqnahseez .

Huaming Song, Email: nc.ude.tsujn@gnimauh .

Muntasir Murshed, Email: [email protected] .

Haider Mahmood, Email: moc.liamtoh@doomhamrediah .

Ijaz Younis, Email: nc.ude.tsujn@sinuoyzaji .

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CiviL Infrastructure research for climate change Mitigation and Adaptation (CLIMA)

Dear Colleagues:

The civil infrastructure sector is a major component of the global economy and provides employment for millions of people in the USA and worldwide. For example, the construction industry alone employs more than 7 million people in the USA and almost 300 million worldwide. Also, construction, operation, maintenance, retrofit, and decommissioning of physical infrastructure systems account for a significant portion of the Gross Domestic Product (GDP) in economically developed countries and even more so in economically underdeveloped countries.

Civil infrastructure investments are among the largest capital investments by both the public and private sectors and are expected to fulfill their intended function for several decades. As such, there continues to be a compelling economic and operational need to extend the service life of existing civil infrastructure and to develop new civil infrastructure to stimulate and sustain continuing economic growth and prosperity in both urban and rural areas as well as to accommodate population growth, mobility, safety, security, and overall quality of life.

Production of infrastructure materials and construction processes are energy intensive, and they are estimated to contribute about one-third of the worldwide greenhouse gas (GHG) emissions. They also lead to the disruption of various natural ecosystems, e.g., deforestation due to wood harvesting and depletion of riverbeds caused by sand and gravel mining. Furthermore, civil infrastructure systems contribute significant GHG emissions during their entire lifecycle for operation/maintenance and they need to continuously adapt to environmental and societal changes.

Increased GHG emissions are associated with increased average planet temperature, rise in sea levels, and a change in weather patterns featuring more extremes, e.g. long periods of droughts, intense precipitations, more frequent hurricanes and tornados. Under these conditions, flooding in coastal regions has increased in frequency and has created significant temporary and permanent damage to civil infrastructure, which has adversely affected communities. As other times in the history of humanity, global changes require for humans to adapt to these new conditions by retreating from less habitable places, strengthening the resilience of existing infrastructure, designing new infrastructure under evolving conditions of operations, and taking full as well as prompt advantage of technology innovation.

Any successful strategy seeking to mitigate the anthropogenic contributions to climate change and to implement adaptation solutions that increase the resilience of communities must include civil infrastructure innovation. Balancing civil infrastructure needs with the associated social and environmental effects is increasingly more challenging due to the increase of natural hazard risks exacerbated by climate change and by progressive infrastructure aging and deterioration. Furthermore, infrastructure aging and deterioration disproportionately affect marginalized, low-income communities that are not considered priorities in typical civil infrastructure investments.

This Dear Colleague Letter (DCL) is intended to stimulate forward-thinking, convergent, ambitious civil infrastructure research on transformative ideas or approaches that will contribute equitable solutions to climate change mitigation and/or adaptation. CLIMA proposals should develop novel, creative, and fundamental approaches drawing from multiple scientific fields to create holistic pathways to infrastructure and community resilience, social equity, and improved long-term performance. The Foundation seeks the contribution of interdisciplinary teams with expertise in the research areas of the participating core programs listed at the end of this document. Proposals suitable for submission to individual programs will not be considered responsive to this DCL.

Topics of interest to this DCL include, but are not limited to:

• Green construction, operation, and maintenance of civil infrastructure:
• Waste material utilization and recycling, including post-hazard debris.
• Usage of locally sourced materials, distributed material manufacturing, and modular manufacturing.
• Optimization of material use or reduction of consumption while enhancing performance.
• Material recycling that combines mechanics and mechanical behavior with assessment of cost and energy requirements for recycling (grinding, cleaning, transportation, etc.).
• Alternative, sustainable, green materials or additives with superior performance in infrastructure construction and long-term service which are economically competitive and environmentally benign. For example, recyclable/degradable materials under complex environmental conditions and novel biomaterials and structures with consideration to the entire life cycle.
• Smart civil infrastructure for health, security, and economic growth:
• Novel policy frameworks and funding mechanisms for civil infrastructure investments.
• Data infrastructure to enable longitudinal, comparative, open science studies of community’s risk, unmet need, and adaptive capability.
• Theories, methods, and testbeds for developing, benchmarking, and validating coupled, multi-agent models and next-generation Artificial Intelligence (AI) tools.
• Integration of engineering and nature-based solutions for healthier cities.
• Sustainable and integrated civil infrastructure systems:
• Materials and structures that serve their primary engineering function and also provide climate change mitigation/adaptation functions (CO2 sequestration, energy harvesting, energy storage, etc.).
• New concepts that accommodate more distributed infrastructure systems operations (such as electric microgrids and distributed water systems).
• New methods to incorporate durability, aging, and deterioration considerations in management processes to extend the useful life of existing(?) civil infrastructure.
• Designing/adapting civil infrastructure to accommodate sea-level rise and extreme weather events.
• Use-inspired novel and advanced material and manufacturing concepts, e.g., programmable matter and structures and living engineered materials (in contrast to engineered living materials), for integrated, multifunctional, physically intelligent, and inherently adaptive responses to evolving conditions.
• Climate change-informed design and systems science methods
• Design of civil infrastructure systems for operations under extreme conditions and addressing climate change uncertainty.
• New systems modeling methods that accommodate mitigation and adaptation strategies, as well as reuse and manufacturing strategies.
• New design methods and tools that accommodate the extended timescale of civil infrastructure retrofitting and adaptation.
• Plug-n-play materials and structures that enable convenient, efficient, and practical retrofitting of infrastructure with very long lifecycle in response to changing environment.

SUBMISSION PROCESS

With the CLIMA DCL, the Division of Civil, Mechanical and Manufacturing Innovation (CMMI) of the Directorate for Engineering (ENG) invites the submission of EArly-concept Grants for Exploratory Research (EAGER) proposals, research proposals engaging more than one of the participating core programs, and conference proposals that address the sustainability, resilience, equity, and accessibility of civil infrastructure under the evolving conditions induced by climate change.

Prospective principal investigators (PIs) must send an email inquiry to [email protected] prior to submission to ascertain whether the proposal is suitable for the CLIMA DCL and to identify suitable programs. In the email inquiry, the PI should provide an indication of the target programs for the proposed topic. Please note that the PI-indicated target programs may not be the only programs that will consider the submitted inquiry. Research concept outlines or brief summaries (no longer than 2 pages) are required for conference and EAGER proposals. They are also strongly encouraged for CLIMA research proposals. If the topic is found suitable, PIs will be directed to submit the proposal to the appropriate program. CLIMA proposals will be co-reviewed and co-funded by the relevant participating programs.

Guidance on the preparation and submission of research proposals is contained in Chapter II.D of the NSF Proposal & Award Policies & Procedures Guide (PAPPG). Proposers submitting EAGER or conference proposals should following the guidance contained in PAPPG Chapter II.F.

The titles for all submissions should include the prefix "CLIMA: " in addition to and in accordance with PAPPG specific title requirements.

Proposals will be accepted at any time, but they should be submitted by May 31, 2023 for full consideration for FY 2023 funding.

PARTICIPATING PROGRAMS

The following NSF programs are participating in this opportunity:

Advanced Manufacturing (ENG/CMMI/AM) Civil Infrastructure Systems (ENG/CMMI/CIS) Dynamics, Control and Systems Diagnostics (ENG/CMMI/DCSD) Engineering for Civil Infrastructure (ENG/CMMI/ECI) Engineering Design and Systems Engineering (ENG/CMMI/EDSE) Humans, Disasters, and the Built Environment (ENG/CMMI/HDBE) Manufacturing Systems Integration (ENG/CMMI/MSI) Mechanics of Materials and Structures (ENG/CMMI/MoMS) Operations Engineering (ENG/CMMI/OE)

KEY CONTACTS

Biscontin, Giovanna, CMMI/ECI, [email protected] Cooper, Khershed, CMMI/AM, [email protected] Cusatis, Gianluca, CMMI/ECI, [email protected] Jablokow, Kathryn, CMMI/EDSE, [email protected] Kanso, Eva, CMMI/DCSD, [email protected] Klutke, Georgia-Ann, CMMI/OE, [email protected] Liang, Daan, CMMI/HDBE, [email protected] Meszaros, Jacqueline, CMMI, [email protected] Pauschke, Joy, CMMI/ECI, [email protected] Qidwai, Siddiq, CMMI/MoMS, [email protected] Shen, Siqian, CMMI/CIS, [email protected] Terpenny, Janis, CMMI/MSI, [email protected]

Sincerely, Susan S. Margulies Assistant Director Directorate for Engineering

Organization(s)

• Division of Civil, Mechanical and Manufacturing Innovation (ENG/CMMI)
• Directorate for Engineering (ENG)

Request for proposals: California’s Fifth Climate Change Assessment

In the last decade, Californians have endured severe drought, floods, historic wildfires, rising seas and record temperatures all driven by climate change. Fostering resilience to these impacts requires sustained investment in climate change research and science. With direction from Senate Bill 1320 (Stern, 2020), and building on the strong foundation set by previous Assessments, the California Governor’s Office of Planning and Research is leading the implementation of California’s Fifth Climate Change Assessment, in partnership with the California Natural Resources Agency (CNRA), the California Energy Commission (CEC) and the California Strategic Growth Council.

The California Institute for Energy and Environment at UC Berkeley, in partnership with CNRA and the Fifth Assessment team, is pleased to announce a new solicitation to fund a suite of research products that fill demonstrable gaps in the scientific literature related to understanding and adapting to climate change impacts in California. This suite of original climate research will help fill critical knowledge gaps and set a foundation used to inform subsequent Fifth Assessment products, including a series of regional synthesis reports, statewide topical synthesis reports and a statewide summary of Fifth Assessment findings and key takeaways.

Submissions are due July 17, 2023, at 5 p.m. PDT and should be submitted electronically to [email protected]. More information, including submission requirements, can be found on the CIEE website.

The post Request for proposals: California’s Fifth Climate Change Assessment appeared first on CITRIS and the Banatao Institute .

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