Collaborative Research: GCR: Scaling-Up Transformative Adaptation through Socio-Agroclimatology

该项目旨在应对重大社会挑战，即在农业领域实现大规模、变革性的气候变化适应，同时减轻进一步的气候影响，支持农村可持续生计。该项目将调查影响农民选择采用（或不采用）气候智能型农业（CSA）做法的社会过程，以及这些选择对陆地-大气相互作用和不断变化的区域气候的影响。这种方法有可能确定杠杆点，以减轻预期的气候变化对美国中小农民的影响，并为当地农村经济带来溢出效益。该项目的目标是发展一种新的社会-农业气候学趋同研究方法，将影响农场管理选择的社会过程与土地-大气反馈联系起来。这将通过确定系统变化的杠杆点、整合耦合的大气-土地表面和种植系统模型以及与社区合作伙伴共同设计参与式行动研究（PAR）实验来实现。PAR实验将探索有意桥接农民网络作为扩大采用CSA实践的深度杠杆点的有效性。通过推进对陆地-大气相互作用和作物生产力的理解和建模，将分析采用CSA导致有益气候反馈的潜在阈值。这些项目要素的整合将有助于开发CSA决策支持工具，实施对当前和拟议政策选择的趋同评估，并提出可行的建议。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

This project addresses the grand societal challenge of achieving large-scale, transformative climate change adaptations in agriculture while mitigating further climate impacts and supporting sustainable rural livelihoods. This project will investigate the social processes that influence farmers’ choices to adopt (or not) climate smart agriculture (CSA) practices and the effects of those choices on land-atmosphere interactions and changing regional climate. This approach has the potential to identify leverage points to mitigate anticipated climate change impacts on small to medium U.S. farmers and generate spillover benefits to local rural economies.The goal of this project is to develop the new, convergence research approach of socio-agroclimatology linking social processes that influence farm management choices with land-atmosphere feedbacks. This will be accomplished through the identification of leverage points for systemic change, integration with coupled atmosphere-land surface and cropping system models, and Participatory Action Research (PAR) experimental co-design with community partners. PAR experiments will explore the effectiveness of intentionally bridging farmer networks as a deep leverage point for scaling-up adoption of CSA practices. Potential thresholds in CSA adoption leading to beneficial climate feedbacks will be analyzed by advancing the understanding and modeling of land-atmosphere interactions and crop productivity. Integration of these project elements will support development of a CSA decision-support tool, implementation of a convergence assessment of current and proposed policy options, and production of actionable recommendations.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.