Actionable Science of Global Environment Change
From Big Data to Practical Research
- 2023
- Book
- Editor
- Ziheng Sun
- Publisher
- Springer International Publishing
About this book
This volume teaches readers how to sort through the vast mountain of climate and environmental science data to extract actionable insights. With the advancements in sensing technology, we now observe petabytes of data related to climate and the environment. While the volume of data is impressive, collecting big data for the sake of data alone proves to be of limited utility. Instead, our quest is for actionable data that can drive tangible actions and meaningful impact.
Yet, unearthing actionable insights from the accumulated big data and delivering them to global stakeholders remains a burgeoning field. Although traditional data mining struggles to keep pace with data accumulation, scientific evolution has spurred the emergence of new technologies like numeric modeling and machine learning. These cutting-edge tools are now tackling grand challenges in climate and the environment, from forecasting extreme climate events and enhancing environmental productivity to monitoring greenhouse gas emissions, fostering smart environmental solutions, and understanding aerosols. Additionally, they model environmental-human interactions, inform policy, and steer markets towards a healthier and more environment-friendly direction.
While there's no universal solution to address all these formidable tasks, this book takes us on a guided journey through three sections, enriched with chapters from domain scientists. Part I defines actionable science and explores what truly renders data actionable. Part II showcases compelling case studies and practical use scenarios, illustrating these principles in action. Finally, Part III provides an insightful glimpse into the future of actionable science, focusing on the pressing climate and environmental issues we must confront.
Embark on this illuminating voyage with us, where big data meets practical research, and discover how our collective efforts move us closer to a sustainable and thriving future. This book is an invitation to unlock the mysteries of our environment, transforming data into decisive action for generations to come.
Advertisement
Table of Contents
-
Frontmatter
-
Chapter 1. What Is “Actionable” Science for Climate and Environment?
Ziheng SunThe chapter delves into the concept of 'actionable' science, highlighting the need for scientific research to address real-world climate and environmental challenges. It discusses the shift towards data-driven, interdisciplinary science and the challenges faced by scientists in making their research actionable. The text introduces a mathematical model for evaluating the actionability of science projects and emphasizes the importance of collaboration between scientists, stakeholders, and the public. It also provides practical examples and case studies to illustrate the principles of actionable science. The chapter aims to bridge the gap between scientific research and real-world decision-making, offering guidance on how to make scientific insights more accessible and applicable to practical problems.AI Generated
This summary of the content was generated with the help of AI.
AbstractThere is no universally accepted definition of “actionable” science at this time. This chapter aims to present a comprehensive perspective on what actionable science entails, delving into its historical context, current understanding, and the prevalent misconceptions across academia, industry, and the public. Our goal is to redefine the concept of “actionability” in scientific research through a rigorous, scientific approach, fostering consensus and unity in evaluating the short-term and long-term value of scientific endeavors. While our exploration centers primarily on the realms of Earth and environmental sciences, we will also touch upon the foundational principles of physics and their influence on environmental sciences, as well as their broader implications for decision-making within human society. This marks our effort to establish a precise definition for “actionable” science and propose a quantitative mathematical framework for gauging the degree of actionability. It will lay down the stepping stones for the following chapters to further explore strategies for enhancing the practical application of scientific research. -
Chapter 2. Data Foundation for Actionable Science
Ziheng SunThe chapter 'Data Foundation for Actionable Science' delves into the essential role of high-quality data in climate and environmental research. It introduces various data categories such as satellite, in situ, model simulation, citizen science, and social media data, and discusses their availability and advantages. The text emphasizes the importance of data collection, storage, and processing in an accessible, transparent, and replicable manner. It also highlights the challenges in data access, sharing, and funding, as well as the need for interdisciplinary collaboration and ethical considerations. The chapter provides guidelines on best practices in data management, preprocessing, cleaning, integration, and continuous operation and maintenance, aiming to ensure that climate and environmental research is based on sound scientific data. It concludes by outlining the challenges faced by the data community and the need for collective efforts to address these issues for the success of actionable science. This chapter is a must-read for professionals seeking to understand the data foundation required for effective climate and environmental research.AI Generated
This summary of the content was generated with the help of AI.
AbstractThe field of climate and environmental research heavily relies on scientific data to understand the complex interactions between the Earth’s systems and the impacts of human activities. High-quality data is critical to informing evidence-based policies and decision-making that address global environmental challenges. This chapter discusses the importance of a robust data foundation for actionable science within the realm of global environmental change. It overviews the historical transformation of climate research, highlighting the growing significance of data in the field. It then delves into the various types of scientific data, including observational data, remote sensing data, and model output data. The chapter further examines the challenges and limitations associated with these data types, such as data quality, availability, and accessibility. Furthermore, it highlights the importance of data management and sharing practices to promote open and reproducible science. It also discusses emerging data technologies and trends, such as big data and machine learning, and their potential applications in climate and environmental research. -
Chapter 3. Technology Landscape for Making Climate and Environmental Science “Actionable”
Ziheng SunThe chapter delves into the diverse technologies driving actionable climate science, including remote sensing, data management systems, and advanced modeling tools. It discusses how these technologies enable the collection, analysis, and interpretation of climate data, facilitating informed decision-making and policy development. The text also explores emerging technologies like AI and machine learning, which are revolutionizing the way we predict and respond to climate change. By highlighting real-world applications and addressing challenges, the chapter offers a compelling narrative on the future of climate science and its potential to drive sustainable environmental management.AI Generated
This summary of the content was generated with the help of AI.
AbstractThis chapter overviews the current status, challenges, and opportunities in the technology landscape for actionable climate sciences. It emphasizes the significant role of technology in enabling data-driven decision-making and presents a wide range of technologies and tools that support research, academia, and real-world decision-making processes. By understanding the capabilities and limitations of these technologies, stakeholders can harness their potential to address climate challenges effectively. This chapter will explore the operational technologies and tools utilized in both research and academic settings that are essential for daily climate-related decision-making. We will go over a diverse range of technologies, including remote sensing, ground observation networks, numerical models, data management systems, big data analytics, citizen science platforms, social media tools, and the new artificial intelligence tools. Each technology will be discussed in details, with their capabilities, limitations, and practical applications in science. Real-world projects and initiatives are presented as examples to illustrate how to effectively utilize these technologies. -
Chapter 4. Actionable Science for Greenhouse Gas Emission Reduction
Bhargavi Janga, Ziheng Sun, Gokul Prathin AsamaniThe chapter delves into the urgent need to reduce greenhouse gas emissions to mitigate global warming and climate change. It highlights the significant role of various industries and sectors, including energy, transportation, and agriculture, in contributing to and addressing these emissions. The text discusses innovative solutions such as carbon capture and storage (CCS) technologies, renewable energy targets, and emission standards. It also explores the importance of policy and regulatory frameworks in driving emission reduction efforts. The chapter emphasizes the need for interdisciplinary collaboration and practical implementation of scientific research to achieve sustainable and effective emission reduction strategies.AI Generated
This summary of the content was generated with the help of AI.
AbstractThis chapter provides an overview of translating scientific knowledge into practical strategies for reducing greenhouse gas emissions. Our focus is on enhancing the practicality of scientific findings in emission control, emphasizing motivation and the need for tangible solutions. Implementing emission science approaches has complex challenges that we diligently address to achieve progress. By embracing interdisciplinary approaches and involving stakeholders, we could make science more actionable in guiding decision-making regarding emission reduction. We will underscore the significant role of ongoing research in addressing carbon emissions, with a focus on enhancing its actionability through collaboration among scientists, policymakers, and individuals. -
Chapter 5. Actionable Science for Hurricane
Ziheng Sun, Qian HuangThe chapter 'Actionable Science for Hurricane' delves into the critical role of scientific research in preparing for and responding to hurricanes, a significant natural hazard affecting societies worldwide. It begins by introducing the devastating impact of hurricanes, using Hurricane Dorian as a case study to illustrate the extensive damage and loss of life they can cause. The text then explores the various scientific disciplines and technologies employed in hurricane forecasting and response, emphasizing the importance of accurate predictions and timely warnings. It highlights the collaboration between scientists, emergency management agencies, and local communities in assessing damage, prioritizing relief efforts, and enhancing community resilience. The chapter also discusses the challenges in translating scientific research into actionable measures, including the need for better communication and the integration of local knowledge. It concludes by providing suggestions for making hurricane research more actionable and highlighting successful use cases where science has been effectively applied in hurricane management. Throughout, the chapter emphasizes the necessity of interdisciplinary collaboration and the importance of involving local communities in preparedness and response efforts.AI Generated
This summary of the content was generated with the help of AI.
AbstractBeing concerned by the increasing frequency and intensity of hurricanes induced by climate change, the chapter aims to shed light on the importance of actionable science in enhancing preparedness, response, and recovery efforts during these devastating events. The goal of this chapter is to outline the key elements of actionable science and its application in hurricane emergency management. It delves into various aspects such as hurricane forecasting models, early warning systems, evacuation planning, and post-event damage assessment. By understanding the motivations behind these strategies, stakeholders can work toward developing more resilient communities and reducing the societal and economic impacts of hurricanes. It also explores the integration of technological advancements, including remote sensing, geographic information systems (GIS), and data analytics, to enhance the accuracy and timeliness of hurricane-related information. It emphasizes the importance of real-time data collection, analysis, and dissemination to support emergency response operations, with the motivation to improve the effectiveness and efficiency of management efforts. This chapter serves as a comprehensive guide for researchers, practitioners, and policymakers interested in leveraging actionable science to improve the preparedness, response, and recovery strategies for hurricanes. -
Chapter 6. Actionable Science for Wildfire
Ziheng SunThe chapter 'Actionable Science for Wildfire' delves into the multifaceted dangers posed by wildfires, ranging from human safety and economic losses to ecological damage. It underscores the critical role of science in understanding fire behavior, predicting fire spread, and developing effective management strategies. The text explores the successes and failures of integrating scientific research into practical firefighting and prevention methods, highlighting the importance of actionable science. It also discusses the challenges faced in wildfire management, such as limited resources, climate change, and the dynamic nature of wildfires. The chapter emphasizes the need for collaboration between scientists, firefighters, and communities to enhance wildfire resilience and outlines suggestions for improving the actionableness of wildfire research. Additionally, it provides real-world examples of successful science-based approaches in wildfire management, showcasing the potential of actionable science in mitigating the impacts of wildfires.AI Generated
This summary of the content was generated with the help of AI.
AbstractThe chapter describes the challenge of translating scientific knowledge into actionable strategies for effective wildfire control. It highlights the motivation behind improving the actionableness of science in wildfire response and emphasizes the need for practical solutions. We will focus on the reasons why science often falls short of being actionable and proposes strategies to enhance its practical application. By leveraging real-time data, interdisciplinary approaches, and stakeholder engagement, science can become more actionable and guide decision-making in wildfire management. We will emphasize the significance of ongoing research and collaboration to address the challenges of wildfire response and protect ecosystems and communities from the devastating impacts of wildfires. -
Chapter 7. Actionable Science for Sea Level Rise
Ziheng SunSea level rise, a pressing concern in the context of global climate change, is driven by thermal expansion of seawater and melting glaciers and ice sheets. This chapter delves into the intricate processes behind sea level rise, its significant impacts on coastal communities and ecosystems, and the critical role of science in monitoring, predicting, and mitigating these changes. It highlights the need for actionable science to inform policy decisions and adaptation strategies, emphasizing the importance of interdisciplinary collaboration and stakeholder engagement. The chapter also explores innovative approaches to coastal management, such as coastal wetland restoration, managed retreat, and nature-based infrastructure, providing real-world case studies and best practices. Additionally, it addresses the challenges and gaps in current research and the ethical considerations involved in decision-making processes. By offering a holistic view of sea level rise and its mitigation, this chapter aims to inspire and guide professionals in their efforts to build resilient coastal communities.AI Generated
This summary of the content was generated with the help of AI.
AbstractSea level rise has drawn global attention in recent years and has become an increasing concern due to its profound impacts on coastal communities, ecosystems, and global climate patterns. Scientists have been actively researching various aspects of sea level rise, including its causes, projected impacts, and potential mitigation strategies. However, despite the progress in scientific understanding, there is a gap between research findings and actionable solutions for decision-makers and stakeholders. This chapter explores the concept of actionable science for sea level rise and highlights the challenges in translating scientific research into practical and implementable strategies. Scientists are currently focusing on a range of topics, like monitoring and modeling sea level changes, assessing vulnerability and risk in coastal areas, and exploring adaptation and mitigation options. However, the disconnect between scientists and stakeholders arises from several factors, such as the complexity of the issue, limited communication and collaboration between scientists and decision-makers, and the need for translating scientific findings into actionable recommendations. To bridge this gap, it is required to enhance interdisciplinary collaboration, foster effective communication channels, and prioritize the development of science-based tools, guidelines, and decision-support systems that are accessible and relevant to decision-makers. Throughout this chapter, readers can expect to gain insights into the current state of scientific research on sea level rise, the challenges hindering the translation of research into action, and potential strategies to make scientific findings more actionable. It will also emphasize the importance of interdisciplinary collaboration, effective science communication, and the development of practical tools to support decision-making processes. -
Chapter 8. Actionable Science for Irrigation
Hui FangThe chapter 'Actionable Science for Irrigation' delves into the intricate world of irrigation, emphasizing the importance of controlled water application for agricultural purposes. It begins by explaining the basics of irrigation, including the physical properties of soil and the movement of water through it. The chapter then explores various types of irrigation systems, such as flood, sprinkler, and drip irrigation, each with its unique advantages and challenges. It also discusses deficit irrigation, a strategy that involves intentionally applying less water than the crop’s full requirement to optimize water use. The chapter highlights the role of different stakeholders, including farmers, irrigation companies, water management agencies, and researchers, in making informed irrigation decisions. It provides a glimpse into the daily activities of farmers during the irrigation season, showcasing their meticulous approach to managing water resources. Additionally, the chapter discusses how governments and water managers allocate water and implement regulations to ensure sustainable practices. Cutting-edge research in artificial intelligence, unmanned aerial vehicles, nanotechnology, and soil amendments is presented, along with their potential and challenges in improving irrigation efficiency. Successful use cases of science in irrigation, such as improving irrigation efficiency using remote sensing and soil moisture data, are highlighted. The chapter concludes by suggesting improvements for scientists, farmers, and government entities to enhance the actionability of research findings in practical irrigation practices. This chapter is a must-read for those interested in the latest advancements in irrigation technology and the future of sustainable water management in agriculture.AI Generated
This summary of the content was generated with the help of AI.
AbstractIn recent years, the efficient use of water resources has become a critical challenge in agriculture due to water scarcity. Scientists are actively researching various aspects of irrigation, including optimizing water use, improving irrigation techniques, and enhancing crop productivity. However, there exists a realistic gap between scientific knowledge and its practical implementation in the fields. This chapter explores the concept of actionable science for irrigation, highlighting the barriers that prevent research from being effectively translated into actionable strategies. The cutting edge research includes crop water requirements, irrigation scheduling, precision irrigation technologies, and water management strategies. Despite the progress made in scientific understanding, the research often lacks direct applicability due to factors such as limited stakeholder engagement, inadequate dissemination of research findings, and the complexity of translating scientific knowledge into practical guidelines. To bridge this gap, it is essential to foster collaboration between scientists, farmers, and policymakers, promote knowledge exchange platforms, and develop user-friendly decision-support tools that provide actionable recommendations for irrigation management. The chapter highlights the importance of stakeholder engagement, effective knowledge transfer, and the development of user-friendly tools to enhance the practicality and implementation of scientific research. Readers will gain an understanding of the expectations and responsibilities of scientists, farmers, and policymakers in adopting actionable science for sustainable and efficient irrigation practices, ultimately leading to improved water resource management and agricultural productivity. -
Chapter 9. Actionable Science for Snow Monitoring and Response
Gokul Prathin Asamani, Ziheng SunThe chapter begins by emphasizing the critical role of snow in sustaining human society and the necessity for actionable science to bridge the gap between research and practical application. It delves into current practices in snow monitoring, including advanced tools like LiDAR and satellite-based sensors, and discusses the challenges and complexities of snowstorm forecasting and response. The text also highlights the importance of collaboration between scientists, policymakers, and local communities in developing effective snow management strategies. Additionally, it explores the unique challenges and adaptations of snow-dependent communities, such as the Sami people and mountain farmers, and the innovative solutions they employ. The chapter concludes by emphasizing the need for actionable science and providing a playbook for enhancing the relevance and application of snow research findings.AI Generated
This summary of the content was generated with the help of AI.
AbstractSnow monitoring can help understand and manage snow resources and respond to snow storms, particularly in regions heavily reliant on snow. This chapter introduces the significance of snow monitoring for comprehending and effectively managing snow-dependent environments. It explores the integration of cutting-edge technologies, collaborative partnerships, and community engagement to improve snow monitoring practices. By harnessing remote sensing technologies, ground-based measurements, and citizen science initiatives, valuable snow data can be gathered and meticulously analyzed. The successful collaboration between scientists and indigenous communities is the main driver to turn science knowledge into actions and predict snow-related risks and adopt accurate adapting practices. Moreover, this chapter discusses future directions in more effective snow monitoring, and understanding the ramifications of climate change, and the significance of nurturing partnerships while raising public awareness on snow. By embracing these approaches, we aims to significantly increase the resilience and well-being of snow-dependent communities and actively contribute to long-term sustainable snow management practices. -
Chapter 10. Toward More Actionable Vulnerability Indices for Global Environmental Change
Elia Axinia MachadoThe chapter 'Toward More Actionable Vulnerability Indices for Global Environmental Change' delves into the significance of vulnerability indices (VIs) in understanding and mitigating the impacts of global environmental change (GEC). It highlights the extensive modification of terrestrial ecosystems by human activities, leading to increased warming and loss of natural ecosystems. With the global population surpassing eight billion, the negative impacts of GEC are becoming more urgent. The chapter discusses various methodological approaches to constructing VIs, emphasizing the importance of robust and rigorous methodologies, transparency, and stakeholder engagement. It also addresses the challenges and limitations in VI construction, such as the complexity of vulnerability, cross-scalar interactions, and the need for validation. The chapter provides step-by-step guidelines for constructing a VI, including selecting a vulnerability framework, defining the scale of analysis, operationalizing the framework, scaling data indicators, specifying weighting schemes, aggregating data, performing sensitivity and uncertainty analysis, and evaluating and validating index results. Additionally, it explores the communication and representation of VI results through mapping and other visualization techniques. The chapter aims to enhance the usefulness of VIs in research and policy, offering best-practice guidelines while acknowledging the challenges and limitations in their construction.AI Generated
This summary of the content was generated with the help of AI.
AbstractThe impacts of Global Environmental Change (GEC) have proven a threat to the survival and functioning of ecological and social systems, underscoring the urgency to implement mitigation and adaptation strategies for GEC. Composite vulnerability indices have become increasingly popular to identify and characterize differential vulnerability to GEC impacts and to support decision-making processes aimed at reducing it. Despite their popularity, several methodological and actionability challenges have been raised that limit their use for scientific and policy applications. This book chapter seeks to enhance the usefulness of vulnerability indices for GEC research and policy applications and offers best-practice guidelines to construct vulnerability indices while highlighting limitations and challenges in the process. -
Chapter 11. Actionable Science in Environmental Health
Qian Huang, Diego F. Cuadros, Ziheng SunActionable Science in Environmental Health delves into the complex interplay between human health and the environment, focusing on the adverse effects of air pollution, waterborne diseases, vector-borne diseases, and chemical exposure-related diseases. It discusses the intricate interactions between environmental factors and human health, highlighting the need for actionable measures to address these issues. The chapter also explores the use of data-driven research and advanced technologies such as precision environmental health, environmental epigenetics, nanotechnology for water purification, and bioelectrochemical systems for waste treatment. A successful use case of a community air quality monitoring dashboard in Cheverly, Maryland, is presented, illustrating how actionable science can be applied to mitigate environmental health risks. The chapter concludes by discussing the challenges and future directions in the implementation of actionable environmental health strategies, emphasizing the importance of collaboration, research, and investment in promoting public health and safeguarding the environment.AI Generated
This summary of the content was generated with the help of AI.
AbstractThis chapter explores the relationship between environment and human diseases with data science within the framework of actionable science. It will discuss the current advanced data research and analyze the intricate relationship between human health and the environment. It highlights the detrimental health impacts of air pollution, such as respiratory conditions, and waterborne diseases resulting from inadequate water treatment and sanitation. The chapter will emphasize the need for practical actions to address these issues and bridge the gap between scientific knowledge and implementation using the data visualization techniques such as dashboards. Key challenges, including awareness gaps, resource constraints, complex interactions, and sociopolitical factors, will be discussed as barriers to transforming scientific understanding into actionable measures. By addressing these challenges, it is possible to promote a healthier environment and safeguard human well-being. -
Chapter 12. Actionable AI for Climate and Environment
Ziheng SunThe chapter delves into the transformative power of AI in climate and environmental science, showcasing its applications in areas such as climate modeling, natural disaster prediction, and conservation efforts. It discusses the challenges faced by AI models in these domains, including data limitations, interpretability issues, and the need for interdisciplinary collaboration. The text also highlights the importance of making AI more actionable and practical for real-world decision-making, providing insights and strategies for overcoming these challenges. Additionally, it explores the potential future of Earth AI, envisioning a world where AI-driven solutions revolutionize environmental monitoring, resource management, and climate change mitigation.AI Generated
This summary of the content was generated with the help of AI.
AbstractAI has emerged as a powerful tool with great potential to revolutionize climate and environmental research and decision-making processes. Its applications range from climate modeling and prediction to biodiversity conservation and natural disaster management. However, despite notable achievements, much of the AI research remains disconnected from real-world action and implementation. The chapter explores the reasons behind the limited actionable impact of AI research, including the gap between AI experts and domain-specific stakeholders, lack of interpretability and transparency, and the absence of robust validation and integration frameworks. To bridge this gap, scientists should prioritize interdisciplinary collaboration and engage actively with policymakers, practitioners, and affected communities. By involving stakeholders throughout the research process, AI models can be developed to address specific needs, generate actionable insights, and inform evidence-based decision-making. This chapter envisions a future where AI plays a crucial role in tackling climate and environmental challenges. It emphasizes the need for AI systems that are ethically grounded, interpretable, and adaptable to diverse contexts. Additionally, the chapter highlights the importance of integrating AI with traditional knowledge systems and empowering communities to leverage AI technologies for localized decision-making. By harnessing the power of AI in conjunction with human expertise and collective action, we can strive toward a more sustainable and resilient future for our planet. -
Chapter 13. Actionable Environmental Science Through Social Media Platforms
Tao Hu, Xiao Huang, Siqin WangThe chapter delves into the transformative potential of social media in environmental science, highlighting its role in gauging public awareness and opinions on environmental change. It discusses the prevalence and impact of misinformation on social media and proposes strategies to counteract it. Additionally, the chapter introduces tools and applications for collecting and analyzing social media data, emphasizing their importance in informing environmental policies and actions. The text also explores how social media can be utilized to mobilize action on environmental issues, from organizing events to sharing sustainable living tips. Throughout, the chapter underscores the need for targeted communication, collaboration, and real-time monitoring to effectively address environmental challenges.AI Generated
This summary of the content was generated with the help of AI.
AbstractThe impact of social media platforms on public perceptions and actions regarding environmental change is a rapidly expanding research frontier. This chapter discusses the role of these platforms in shaping public awareness, opinions, and actions related to environmental change. It also examines the challenges and opportunities associated with misinformation and presents a range of tools and applications for collecting and analyzing social media data for actionable environmental insights. Finally, it discusses how these elements can be integrated toward the design of impactful solutions for actionable environmental science. -
Chapter 14. Ethics and Accountability of Science in Action
Ziheng SunThe chapter delves into the critical ethical and accountability issues faced by scientists and decision-makers in climate and environmental science. It highlights the need for transparency, data sharing, and robust peer review processes to ensure the reliability and validity of scientific findings. The text also discusses the ethical challenges posed by AI applications in climate science, such as biases and lack of explainability, and emphasizes the importance of fairness and accountability in human subject research. Furthermore, it explores the ethical considerations for stakeholders and users, including the need for transparent communication, fairness in risk distribution, and the responsible use of science advice. The chapter concludes by underscoring the importance of ethical leadership and professional conduct in fostering an environment of integrity and trust in the scientific community.AI Generated
This summary of the content was generated with the help of AI.
AbstractThe ethical obligations of scientists are to ensure the integrity, reliability, and reproducibility of the science results. This chapter presents practical strategies and recommendations for fostering ethics and accountability in science. It advocates for collaborative and interdisciplinary approaches, transparent reporting, and robust peer review processes. Additionally, the chapter calls for the engagement of diverse stakeholders, including marginalized communities, in the scientific process to ensure their voices are heard and their perspectives are considered. It underscores the ethics and accountability in scientific research and its application to addressing climate and environmental issues in real world use cases. It also emphasizes the need for scientists to embrace ethical principles, promote transparency, and engage with stakeholders to ensure the responsible and equitable use of science in addressing pressing societal and environmental challenges. -
Backmatter
- Title
- Actionable Science of Global Environment Change
- Editor
-
Ziheng Sun
- Copyright Year
- 2023
- Publisher
- Springer International Publishing
- Electronic ISBN
- 978-3-031-41758-0
- Print ISBN
- 978-3-031-41757-3
- DOI
- https://doi.org/10.1007/978-3-031-41758-0
PDF files of this book don't fully comply with PDF/UA standards, but do feature limited screen reader support, described non-text content (images, graphs), bookmarks for easy navigation and searchable, selectable text. Users of assistive technologies may experience difficulty navigating or interpreting content in this document. We recognize the importance of accessibility, and we welcome queries about accessibility for any of our products. If you have a question or an access need, please get in touch with us at accessibilitysupport@springernature.com
