SEES Fellows: Translating agricultural greenhouse gas emissions modeling into decision making on landscapes

这个跨学科的项目将探索土壤，气候和生产变量之间的关系，以预测美国养猪业的农业温室气体排放。 该研究以威斯康星州养猪生产系统为测试案例，校准和实施区域适当的预测模型，并将涉及三个阶段的研究。 第一阶段将涉及收集区域土壤、气候和生产实践数据，以及在各种区域相关的环境和生产变量组合下，对与田间施用粪肥相关的温室气体排放进行建模。 第二阶段将涉及模型验证和校准，通过现场气体流量测量在威斯康星州农业经营。 第三阶段将把成果纳入适合区域的决策支持工具的开发，以促进农场一级的改进和可持续做法的创新。 研究结果将纳入美国生猪和猪肉行业的全国性生命周期评估。 农业是温室气体产生的主要来源，已经进行了大量投资，以各种农产品生命周期评估的形式量化和模拟温室气体产生。 虽然目前的生命周期评估提供了准确的大规模平均值，但它们没有考虑到塑造当地农业景观的各种生态和耕作方法，因此没有为个体农民的管理方法提供信息。 通过与LCA建模和可持续景观管理知识系统的研究人员以及行业合作伙伴的合作，这项工作将解决农业景观管理中空间明确决策支持能力的需求。 拟议的威斯康星州养猪生产测试案例将作为一个模型，在其他地区和其他农业部门的类似做法。拟议的工作将扩大代表性不足的群体在可持续发展科学的参与，通过调整与？每个社区都有学校吗？该倡议的重点是将拟议的研究与地方高中的课程开发相结合。 研究的影响和相关性将通过民间机构的方法来加强，以整合教育工作者，生产者和研究人员的参与，以应对农业可持续性的挑战。 该项目得到了NSF科学，工程和教育可持续发展研究员（SEES研究员）计划的支持，其目标是帮助实现所需的发现，为导致环境，能源和社会可持续性的行动提供信息，同时创造必要的劳动力来应对这些挑战。 在SEES研究员的支持下，该项目将使一个有前途的早期职业研究人员能够在与可持续发展相关的独立研究生涯中建立自己的地位。

This interdisciplinary project will explore the relationship between soil, climate and production variables in predicting agricultural greenhouse gas emissions from U.S. swine production. The study takes Wisconsin swine production systems as a test case for calibrating and implementing regionally appropriate predictive modeling, and will involve three phases of research. Phase I will involve collection of regional soil, climate, and production practice data, and modeling of greenhouse gas emissions associated with field application of manure under various regionally relevant combinations of environmental and production variables. Phase II will involve model validation and calibration through on-site gas flux measurement at Wisconsin farming operations. Phase III will incorporate results into development of a regionally appropriate decision support tool to facilitate farm-level improvement and innovation in sustainable practices. Results will be incorporated into a nationwide Life Cycle Assessment of the U.S. swine and pork industry. Agriculture is a major source of greenhouse gas production, and significant investments have been made to quantify and model greenhouse gas production in the form of Life Cycle Assessments (LCAs) for various agricultural products. While current LCAs provide accurate large-scale averages, they do not account for the variety of ecologies and farming practices that shape local agricultural landscapes, and therefore do not inform the management practices of individual farmers. Through collaboration with researchers in LCA modeling and in knowledge systems for sustainable landscape management, together with industry partners, this work will address the need for spatially explicit decision support capacity in the management of agricultural landscapes. The proposed Wisconsin swine production test case will serve as a model for similar approaches in other regions and other agricultural sectors.The proposed work will broaden the participation of underrepresented groups in sustainability science by aligning with the ?Ag School in Every Community? initiative, focusing on the integration of the proposed research with curriculum development in local high schools. The impact and relevance of the research will be enhanced by the civic agency approach to integrating the participation of educators, producers, and researchers in addressing the challenges of agricultural sustainability. This project is supported under the NSF Science, Engineering and Education for Sustainability Fellows (SEES Fellows) program, with the goal of helping to enable discoveries needed to inform actions that lead to environmental, energy and societal sustainability while creating the necessary workforce to address these challenges. With SEES Fellows support, this project will enable a promising early career researcher to establish themselves in an independent research career related to sustainability.