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Adaptive targeting: Engaging farmers to assess perceptions and improve watershed modeling, spatial optimization, and adoption of agricultural conservation practices.

机译:适应性目标:吸引农民评估看法并改善分水岭模型,空间优化和采用农业保护措施。

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摘要

Targeting agricultural conservation practices to farmland that has the greatest impact on surface water quality has received wide support from scientists and watershed managers. The targeting approach has, however, been politically contentious as many believe farmers will oppose the approach on grounds such as privacy invasion and unfair distribution of government incentives. Targeting conservation practices using complex optimization models has become common in the scientific community, and yet targeted results are underutilized in practice because of difficulties such as knowledge transfer and absence of a political framework for their use. For targeting to be successful, it must be politically supported in concept and practically demonstrated in implementation. In this work I have conducted an interdisciplinary study and targeting experiment that brings together the human dimensions of targeting with the engineering tools of watershed modeling and spatial optimization to demonstrate an adaptive targeting approach. The approach is adaptive in its involvement of stakeholders, namely farmers and landowners, in the targeting process. Fourteen farmers were engaged through in-depth interviews about their farmland, conservation practices, and opinions on targeting of conservation. Interviews and the targeting experiment were conducted in 2012--2013 in two small west-central Indiana watersheds---the Little Pine watershed (56 km2) and Little Wea watershed (45 km2).;There was general support for the targeting approach among farmers interviewed, despite wide variation in farmer views of conservation and government programs. Farmer views of differing conservation practices varied as well, supporting a flexible targeting approach where farmers are consulted prior to targeting conservation on their lands. The watershed modeling and spatial optimization approach tailored to farm boundaries was a suitable tool for targeting field scale practices at the watershed scale. Conservation practices represented in the Soil and Water Assessment Tool (SWAT) varied in effectiveness of reducing total nitrogen, total phosphorus, and sediment from reaching surface waters. Grassed waterways, filter strips, and strategically cited wildlife habitats had the greatest efficiency in lands with little existing conservation, and cover crops and wetlands were capable of intercepting nutrients and sediments other practices could not reach. The adaptive targeting experiment resulted in a stated intention to adopt 35% of all targeted recommendations across ten farms. Interviews clearly improved the targeting approach, provided an avenue for knowledge transfer, and built trust with farmers.
机译:以农业保护措施为目标的农田对地表水水质的影响最大,得到了科学家和流域管理者的广泛支持。但是,这种针对性的方法在政治上存在争议,因为许多人认为农民会基于隐私侵犯和政府奖励措施的不公平分配等理由反对这种方法。使用复杂的优化模型来确定保护实践的做法在科学界已经很普遍,但是由于诸如知识转移和缺乏使用它们的政治框架之类的困难,目标结果在实践中并未得到充分利用。为使目标成功,必须在概念上在政治上予以支持,并在实施中切实加以证明。在这项工作中,我进行了跨学科研究和目标定位实验,将目标的人为因素与分水岭建模和空间优化的工程工具结合在一起,以展示一种自适应目标定位方法。这种方法是适应性的,可以使利益相关者(即农民和土地所有者)参与目标制定过程。通过对他们的耕地,保护实践以及针对保护目标的意见进行了深入采访,使十四名农民参与其中。在2012--2013年期间,在印第安纳州中西部的两个小流域-小松树小流域(56 km2)和小韦阿分水岭(45 km2)进行了访谈和针对性实验。尽管农民对保护和政府计划的看法差异很大,但农民还是接受了采访。农民对于不同的保护习惯的看法也各不相同,这支持了灵活的针对性方法,即在针对他们的土地进行保护之前,先咨询农民。针对农场边界量身定制的分水岭建模和空间优化方法是针对分水岭规模的田间规模实践的合适工具。土壤和水评估工具(SWAT)所代表的保护措施在减少总氮,总磷和沉积物到达地表水的有效性方面有所不同。草地水道,滤纸条和策略性引用的野生动植物栖息地在几乎没有现有保护的土地上效率最高,而被覆作物和湿地能够拦截其他方式无法达到的养分和沉积物。自适应定位实验的结果表明,有意在十个农场中采用所有定位建议中的35%。访谈明显改善了针对性方法,为知识转移提供了途径,并建立了与农民的信任。

著录项

  • 作者

    Kalcic, Margaret McCahon.;

  • 作者单位

    Purdue University.;

  • 授予单位 Purdue University.;
  • 学科 Engineering Environmental.;Sociology Theory and Methods.;Engineering Agricultural.
  • 学位 Ph.D.
  • 年度 2013
  • 页码 281 p.
  • 总页数 281
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:42:00

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