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Fuzzy Models to Inform Social and Environmental Indicator Selection for Conservation Impact Monitoring
Conservation Letters ( IF 8.5 ) Pub Date : 2017-02-01 , DOI: 10.1111/conl.12338
Edward T. Game 1, 2 , Leah L. Bremer 3 , Alejandro Calvache 4 , Pedro H. Moreno 5 , Amalia Vargas 6 , Baudelino Rivera 6 , Lina M. Rodriguez 7
Affiliation  

Conservation projects increasingly aim to deliver both environmental and social benefits. To monitor the success of these projects, it is important to pick indicators for which there is a reasonable expectation of change as a result of the project, and which resonate with project stakeholders. Results chains are widely used in conservation to describe the hypothesized pathways of causal linkages between conservation interventions and desired outcomes. We illustrate how, with limited additional information, results chains can be turned into fuzzy models of social‐ecological systems, and how these models can be used to explore the predicted social and environmental impacts of conservation actions. These predictions can then be compared with the interests of stakeholders in order to identify good indicators of project success. We illustrate this approach by using it to select indicators for a water fund, an increasingly popular and multiobjective conservation strategy.

中文翻译:

用于保护影响监测的告知社会和环境指标选择的模糊模型

保护项目越来越多地致力于提供环境和社会效益。为了监控这些项目的成功,重要的是选择指标,这些指标会因项目的变化而有合理的预期,并能引起项目利益相关者的共鸣。结果链被广泛用于保护中,以描述保护干预与预期结果之间因果联系的假想路径。我们说明了如何利用有限的附加信息将结果链转化为社会生态系统的模糊模型,以及如何将这些模型用于探索保护行动的预期社会和环境影响。然后可以将这些预测与利益相关者的利益进行比较,以便确定项目成功的良好指标。
更新日期:2017-02-01
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