Doctoral Dissertation Research: Weather Risk, Climate Adaptation and Farmer Decision Making in the Southwestern United States
Doctoral Dissertation Research: Weather Risk, Climate Adaptation and Farmer Decision Making in the Southwestern United States
批准号:
1459175
负责人:
Matthew Turner
金额:
$1.38万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2015
资助国家:
美国
项目状态:
已结题
起止时间:
2015-03-15 至 2017-01-31
中文摘要
该项目将重点分析美国西南部不同农民群体可获得的财政支持和信息,他们都面临着越来越多的天气挑战,特别是以缺水的形式。该项目将分析不同的资源集合和获得这些资源的途径如何提高农场对生态和经济挑战的适应能力。通过分析制度和社会对农业决策的影响,这项研究将扩大对农民选择以及这些决策如何塑造农场景观的理解。它还将扩大对工业化世界农民如何应对气候变化的理解。这项研究将调查美国农业政策如何成为降低农业易受天气风险影响的有效工具。它还将强调目前代表不足的少数族裔农民获得农业支持计划的机会。此外,该项目还将评估具有不同农场生产方式和规模的不同民族农民的相对脆弱性。因此,该项目将分析不同农场类型的农业机构的不同影响,突出美国农业政策在支持应对气候变化方面可能对哪些人有效。为了让农民和政策制定者更深入地了解不同的资源获取方式可能会如何影响农场,研究人员将通过演讲和出版物分享研究结果。该项目建立在过去对网络政治生态的研究基础上,首次将该框架应用于工业化农业。网络政治生态分析了参与者(通常是农民)在其中运行的系统。它分析了对个人决策的影响,并分析了哪些因素对最终做出的决策具有最大的影响力。影响因素可能包括经济转型、生态条件和社会背景等。该框架还确定了这些因素在决策产生过程中如何相互作用。这项研究将集中于这样一个问题:面对当前和未来的天气风险,农民的制度纽带如何通过他们的社会关系网络来塑造他们的耕作战略?通过对新墨西哥州两个县的不同农民进行一系列采访,研究人员将确定要分析的农民网络集。采访将集中在农民的决定以及哪些因素对这些决定影响最大。农民将帮助研究人员构建他们的决策历史。研究人员将采访其他关键参与者,如推广代理和保险公司,以获得更多信息,了解机构如何影响农业决策,以及机构中与个人的社会关系可能如何影响农民最终使用信息和资源的方式。访谈数据将被分析,以确定关键决策及其与天气事件的关系在不同的农民网络中有何不同。将特别注意农民的决定,这些决定在天气构成重大挑战的年份为农场带来高度积极的结果。
英文摘要
This project will focus on analyzing financial support and information available to different groups of farmers in the southwestern United States, all of whom are facing increasing weather challenges, especially in the form of water shortages. The project will analyze how different sets of resources and access to those resources may enhance farm resilience to ecological and economic challenges. By analyzing the institutional and social influences on farm decisions, the research will extend understandings of farmers' choices and the ways in which those decisions shape the farm landscape. It will also broaden understanding of how farmers in the industrialized world deal with climatic change. The research will investigate how U.S. farm policy may be an effective tool for decreasing farm vulnerability to weather risks. It will also highlight current access of underrepresented minority farmers to farm support programs. In addition, the project will assess the relative vulnerability of farmers of different ethnicities with a variety of farm production styles and sizes. As such, the project will analyze the differential effects of agricultural institutions across contrasting farm types, highlighting for whom U.S. farm policy may be effective in supporting responses to a variable climate. To offer farmers and policy-makers a deeper understanding of how differing access to resources may be affecting farms, the researchers will share the results of the research through presentations and a publication. The project builds on past research in network political ecology, applying the framework for the first time to industrialized agriculture. Network political ecology analyzes the system in which an actor, often a farmer, operates. It parses the influences on individuals' decisions and analyzes which factors have the greatest power over the decisions that are ultimately made. Factors may include such influences as economic shifts, ecological conditions and social context. The framework also determines how those factors interact in the production of decisions. The research will focus on the question: How do farmers' institutional ties, mediated by their network of social relations, shape their farming strategies in the face of current and future weather risks? Through a series of interviews with a variety of farmers in two New Mexico counties, the researchers will identify sets of farmer networks to analyze. Interviews will center on farmers' decisions and which factors have most significantly influenced those decisions. Farmers will aid the researchers in constructing their decision-making histories. The researchers will interview other key actors, such as extension agents and insurers, to gain additional information about how institutions shape farm decisions and how social relationships with individuals in institutions may affect the way farmers ultimately use information and resources. Interview data will be analyzed to determine how key decisions and their relationships to weather events differ among different networks of farmers. Particular attention will be paid to farmer decisions that result in highly positive outcomes for farms in years when weather presents significant challenges.
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科研奖励(0)
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