Climate change is an unprecedented threat to global sustainable development. On a global scale, both key infrastructure systems and increasing human activities are major drivers of risk and potential climate action, affecting many aspects involving energy, water, food, livelihood, transportation, communication systems, and many others. These problems are particularly serious for developing countries and regions. Mitigation measures are currently more important in coping with climate change, while research and practice on climate change adaptation are relatively lagging, and climate change has posed an even greater challenge to traditional disaster risk management.
Based on a comprehensive review and analysis of recent research on global climate change and adaptive capacity building, the vision of this Research Topic aims to enhance the adaptive capacity of various subjects to future global climate change by strengthening the linkages between theoretical guidance, data support and model predictions, and transforming them into relevant policy recommendations. In particular, the assessment and prediction of the future impact of climate change on vulnerable urban areas, groups and fields have great significance in promoting adaptation planning, improving adaptive social security, enhancing emergency and disaster risk management, and establishing a climate-resilient health system. We hope to develop a research framework for climate change theory and adaptive capacity building, and assess and predict climate risks by combining the latest scientific and technological tools such as big data analysis, artificial intelligence and remote sensing data, to explore the links between adaptive capacity building and climate change, and to improve the quality of data products, enhance the accuracy of modeling predictions, and propose new strategies, numerical predictions and engineering solutions that reduce climate risks, enhance resilience, and contribute to poverty reduction, economic development and emission reduction.
Significant efforts to improve climate resilience and reduce vulnerability have already been made, but inadequate assessment and prediction of the impacts of climate change on human social, economic and cultural activities remain a bottleneck to effective adaptation actions. Papers that propose an "interdisciplinary and intersectional approach to exploring solutions to climate change problems" are welcome, especially those that explore the integrated intersection between climate change impacts, vulnerability and risk, adaptation, and mitigation. Relevant themes include but are not limited to the following:
• Risk and vulnerability assessment and visualization;
• Impacts of climate change on health and well-being;
• Environmental, economic and social benefits of climate change mitigation;
• Links between climate risk and adaptive capacity building;
• Synergistic trade-offs and driving mechanisms for adaptation and mitigation of climate change impacts.
Climate change is an unprecedented threat to global sustainable development. On a global scale, both key infrastructure systems and increasing human activities are major drivers of risk and potential climate action, affecting many aspects involving energy, water, food, livelihood, transportation, communication systems, and many others. These problems are particularly serious for developing countries and regions. Mitigation measures are currently more important in coping with climate change, while research and practice on climate change adaptation are relatively lagging, and climate change has posed an even greater challenge to traditional disaster risk management.
Based on a comprehensive review and analysis of recent research on global climate change and adaptive capacity building, the vision of this Research Topic aims to enhance the adaptive capacity of various subjects to future global climate change by strengthening the linkages between theoretical guidance, data support and model predictions, and transforming them into relevant policy recommendations. In particular, the assessment and prediction of the future impact of climate change on vulnerable urban areas, groups and fields have great significance in promoting adaptation planning, improving adaptive social security, enhancing emergency and disaster risk management, and establishing a climate-resilient health system. We hope to develop a research framework for climate change theory and adaptive capacity building, and assess and predict climate risks by combining the latest scientific and technological tools such as big data analysis, artificial intelligence and remote sensing data, to explore the links between adaptive capacity building and climate change, and to improve the quality of data products, enhance the accuracy of modeling predictions, and propose new strategies, numerical predictions and engineering solutions that reduce climate risks, enhance resilience, and contribute to poverty reduction, economic development and emission reduction.
Significant efforts to improve climate resilience and reduce vulnerability have already been made, but inadequate assessment and prediction of the impacts of climate change on human social, economic and cultural activities remain a bottleneck to effective adaptation actions. Papers that propose an "interdisciplinary and intersectional approach to exploring solutions to climate change problems" are welcome, especially those that explore the integrated intersection between climate change impacts, vulnerability and risk, adaptation, and mitigation. Relevant themes include but are not limited to the following:
• Risk and vulnerability assessment and visualization;
• Impacts of climate change on health and well-being;
• Environmental, economic and social benefits of climate change mitigation;
• Links between climate risk and adaptive capacity building;
• Synergistic trade-offs and driving mechanisms for adaptation and mitigation of climate change impacts.
