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首页> 外文期刊>Land Use Policy >Environmental evaluation of agri-environment schemes using participatory approaches: experiences of testing the Agri-Environmental Footprint Index.
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Environmental evaluation of agri-environment schemes using participatory approaches: experiences of testing the Agri-Environmental Footprint Index.

机译:使用参与性方法对农业环境计划进行环境评估:测试农业环境足迹指数的经验。

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摘要

The Agri-Environment Footprint Index (AFI) has been developed as a generic methodology to assess changes in the overall environmental impacts from agriculture at the farm level and to assist in the evaluation of European agri-environmental schemes (AES). The methodology is based on multi-criteria analysis (MCA) and involves stakeholder participation to provide a locally customised evaluation based on weighted environmental indicators. The methodology was subjected to a feasibility assessment in a series of case studies across the EU. The AFI approach was able to measure significant differences in environmental status between farms that participated in an AES and non-participants. Wider environmental concerns, beyond the scheme objectives, were also considered in some case studies and the benefits for identification of unintentional (and often beneficial) impacts of AESs are presented. The participatory approach to AES evaluation proved efficient in different environments and administrative contexts. The approach proved to be appropriate for environmental evaluation of complex agri-environment systems and can complement any evaluation conducted under the Common Monitoring and Evaluation Framework. The applicability of the AFI in routine monitoring of AES impacts and in providing feedback to improve policy design is discussed.Digital Object Identifier http://dx.doi.org/10.1016/j.landusepol.2011.07.002
机译:农业环境足迹指数(AFI)已开发为一种通用方法,用于评估农场一级农业对农业整体环境的影响变化,并有助于评估欧洲农业环境计划(AES)。该方法基于多准则分析(MCA),涉及利益相关者的参与,以基于加权环境指标提供本地定制的评估。在整个欧盟的一系列案例研究中,对该方法进行了可行性评估。 AFI方法能够衡量参加AES的农场与未参加的农场之间在环境状况上的重大差异。在某些案例研究中,还考虑了超出计划目标的更广泛的环境问题,并提出了识别AES的无意(通常是有益)影响的好处。事实证明,参与式AES评估方法在不同的环境和管理环境中都是有效的。事实证明,该方法适用于复杂农业环境系统的环境评估,并且可以补充根据共同监测和评估框架进行的任何评估。讨论了AFI在AES影响的常规监视中以及在提供反馈以改进策略设计方面的适用性。数字对象标识符http://dx.doi.org/10.1016/j.landusepol.2011.07.002

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