Fuzzy Models to Inform Social and Environmental Indicator Selection for Conservation Impact Monitoring
| Autor: | Amalia Morales Vargas, Edward T. Game, Baudelino Rivera, Leah L. Bremer, Alejandro Calvache, Lina Maria Rodriguez, Pedro H. Moreno |
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| Rok vydání: | 2017 |
| Předmět: |
0106 biological sciences
Ecology Computer science business.industry Project stakeholder Environmental resource management Psychological intervention Theory of change 010501 environmental sciences Environmental economics 010603 evolutionary biology 01 natural sciences Fuzzy logic Fuzzy cognitive map Ecosystem services Order (exchange) business Ecology Evolution Behavior and Systematics 0105 earth and related environmental sciences Nature and Landscape Conservation Environmental indicator |
| Zdroj: | Conservation Letters. 11:e12338 |
| ISSN: | 1755-263X |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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