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

该项目旨在应对重大的社会挑战，即在农业中实现大规模的变革性气候变化适应，同时减轻进一步的气候影响并支持可持续的农村生计。该项目将调查影响农民选择采用（或不采用）气候智能型农业做法的社会过程，以及这些选择对土地-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中小美国农民的影响，并产生溢出效益，以当地农村economics.The本项目的目标是开发新的，融合的研究方法的社会农业气候学连接的社会过程，影响农场管理的选择与土地-大气反馈。这将通过确定系统性变化的杠杆点、与耦合的大气-陆地表面和种植系统模型相结合以及与社区合作伙伴共同设计示范行动研究实验来实现。PAR实验将探讨有意桥接农民网络作为扩大采用CSA做法的深层杠杆点的有效性。CSA采用的潜在阈值导致有益的气候反馈将通过推进陆地-大气相互作用和作物生产力的理解和建模进行分析。这些项目要素的整合将支持CSA决策支持工具的开发，对当前和拟议政策选项的融合评估的实施，以及可操作建议的产生。该奖项反映了NSF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.