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Catalyzing success in community-based conservation
Authors:Brandie Fariss  Nicole DeMello  Kathryn A Powlen  Christopher E Latimer  Yuta Masuda  Christina M Kennedy
Institution:1. Global Protect Oceans, Lands, and Waters Program, The Nature Conservancy, Fort Collins, Colorado, USA;2. Global Conservation in Partnership with Indigenous Peoples and Local Communities Program, The Nature Conservancy, Arlington, Virginia, USA;3. Department of Human Dimensions of Natural Resources, Colorado State University, Fort Collins, Colorado, USA;4. Global Science, The Nature Conservancy, Arlington, Virginia, USA
Abstract:Efforts to devolve rights and engage Indigenous Peoples and local communities in conservation have increased the demand for evidence of the efficacy of community-based conservation (CBC) and insights into what enables its success. We examined the human well-being and environmental outcomes of a diverse set of 128 CBC projects. Over 80% of CBC projects had some positive human well-being or environmental outcomes, although just 32% achieved positive outcomes for both (i.e., combined success). We coded 57 total national-, community-, and project-level variables and controls from this set, performed random forest classification to identify the variables most important to combined success, and calculated accumulated local effects to describe their individual influence on the probability of achieving it. The best predictors of combined success were 17 variables suggestive of various recommendations and opportunities for conservation practitioners related to national contexts, community characteristics, and the implementation of various strategies and interventions informed by existing CBC frameworks. Specifically, CBC projects had higher probabilities of combined success when they occurred in national contexts supportive of local governance, confronted challenges to collective action, promoted economic diversification, and invested in various capacity-building efforts. Our results provide important insights into how to encourage greater success in CBC.
Keywords:accumulated local effects  community-based conservation  conservation evaluation  conservation outcomes  evidence-based conservation  machine learning  random forest classification  aprendizaje automático  clasificación aleatoria de bosque  conservación basada en la comunidad  conservación basada en evidencias  evaluación de la conservación  efectos locales acumulados  resultados de la conservación  基于社区的保护  保护评估  保护结果  基于证据的保护  机器学习  随机森林分类  累积局部效应
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