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      A novel framework for analyzing conservation impacts: evaluation, theory, and marine protected areas : Analyzing conservation impacts

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          Abstract

          Environmental conservation initiatives, including marine protected areas (MPAs), have proliferated in recent decades. Designed to conserve marine biodiversity, many MPAs also seek to foster sustainable development. As is the case for many other environmental policies and programs, the impacts of MPAs are poorly understood. Social-ecological systems, impact evaluation, and common-pool resource governance are three complementary scientific frameworks for documenting and explaining the ecological and social impacts of conservation interventions. We review key components of these three frameworks and their implications for the study of conservation policy, program, and project outcomes. Using MPAs as an illustrative example, we then draw upon these three frameworks to describe an integrated approach for rigorous empirical documentation and causal explanation of conservation impacts. This integrated three-framework approach for impact evaluation of governance in social-ecological systems (3FIGS) accounts for alternative explanations, builds upon and advances social theory, and provides novel policy insights in ways that no single approach affords. Despite the inherent complexity of social-ecological systems and the difficulty of causal inference, the 3FIGS approach can dramatically advance our understanding of, and the evidentiary basis for, effective MPAs and other conservation initiatives.

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          A general framework for analyzing sustainability of social-ecological systems.

          A major problem worldwide is the potential loss of fisheries, forests, and water resources. Understanding of the processes that lead to improvements in or deterioration of natural resources is limited, because scientific disciplines use different concepts and languages to describe and explain complex social-ecological systems (SESs). Without a common framework to organize findings, isolated knowledge does not cumulate. Until recently, accepted theory has assumed that resource users will never self-organize to maintain their resources and that governments must impose solutions. Research in multiple disciplines, however, has found that some government policies accelerate resource destruction, whereas some resource users have invested their time and energy to achieve sustainability. A general framework is used to identify 10 subsystem variables that affect the likelihood of self-organization in efforts to achieve a sustainable SES.
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            The need for evidence-based conservation.

            Much of current conservation practice is based upon anecdote and myth rather than upon the systematic appraisal of the evidence, including experience of others who have tackled the same problem. We suggest that this is a major problem for conservationists and requires a rethinking of the manner in which conservation operates. There is an urgent need for mechanisms that review available information and make recommendations to practitioners. We suggest a format for web-based databases that could provide the required information in accessible form.
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              Money for Nothing? A Call for Empirical Evaluation of Biodiversity Conservation Investments

              The field of conservation policy must adopt state-of-the-art program evaluation methods to determine what works, and when, if we are to stem the global decline of biodiversity and improve the effectiveness of conservation investments.
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                Author and article information

                Journal
                Annals of the New York Academy of Sciences
                Ann. N.Y. Acad. Sci.
                Wiley-Blackwell
                00778923
                July 2017
                July 18 2017
                : 1399
                : 1
                : 93-115
                Article
                10.1111/nyas.13428
                28719737
                ea4115ef-e0d5-46ed-91bd-d449caae38a3
                © 2017

                http://doi.wiley.com/10.1002/tdm_license_1.1

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