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

该项目解决了在农业中实现大规模、变革性的气候变化适应，同时减轻进一步的气候影响和支持可持续的农村生计的重大社会挑战。该项目将调查影响农民选择采用(或不采用)气候智能农业(CSA)实践的社会过程，以及这些选择对土地-大气相互作用和区域气候变化的影响。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，并为当地农村经济产生溢出效益。该项目的目标是开发社会-农业气候学的新的融合研究方法，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、与大气-地表和耕作系统耦合模型相结合以及与社区合作伙伴共同设计参与性行动研究(PAR)来实现。PAR实验将探索有意连接农民网络作为扩大采用CSA实践的深层次杠杆点的有效性。将通过促进对陆地-大气相互作用和作物生产力的理解和建模，分析导致有益气候反馈的CSA采用的潜在阈值。这些项目要素的整合将支持CSA决策支持工具的开发，对当前和拟议的政策选项进行融合评估，并产生可操作的建议。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势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.