About this Research Topic
This special collection, titled "Climate-Environment Resiliency and Adaptation," aims to explore the latest research, innovations, and practical approaches to enhancing resilience and adapting to the adverse effects of climate and land cover changes. It will serve as a platform for multidisciplinary discussions that bridge the gap between science, policy, and practice, laying a solid scientific foundation for addressing these critical challenges.
The collection seeks to highlight advances in resilience principles and strategies for mitigating losses from infrastructure failure due to extreme events. It invites original research articles, reviews, and case studies on assessing and adapting to climate and land cover changes, with a particular emphasis on resilience. These contributions are expected to address the impacts of climate and land cover changes on ecohydrology, resilience-based stormwater infrastructure planning and design, ecosystem-based adaptation, climate adaptation policies and governance, community resilience, technological innovations, water resources dynamics, agricultural water use, and health-related issues arising from these changes. They will help envision a new discipline, prompt relevant research and education, support low-risk decision-making, and improve policy enactment.
We warmly invite submissions from academic researchers, industry professionals, policymakers, or practitioners that explore the following or close related themes:
• Climate non-stationarity and uncertainty: Addressing future predictions, spatial downscaling, temporal disaggregation, and uncertainty reduction.
• Land cover change and evolution: Analyzing climatic factors, human activities, and their effects on hydrologic processes, topsoil erosions and losses, as well as vegetation composition and structure.
• Resilient infrastructure: Developing innovative concepts and approaches to integrate climate and land cover changes into engineering practice, aiming to minimize failure risk while maximizing recoverability after extreme events. This includes both structural or non-structural approaches, such as water resources engineering structures, nature-based solutions, policy frameworks, and community-led initiatives.
• Modeling and data analysis: Developing and applying mathematical models for resilience prediction, with a focus on AI-based modeling and machine learning big data analyses.
• Case studies: Showcasing successful practices, lessons learned, and technological advancements that enhance community adaptivity to climate and land cover changes.
Keywords: agriculture, community, drought, ecohydrology, extreme event, flooding, policy
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.