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What determines the effectiveness of national protected area networks

Bibliographic Data

ID15544640
AuthorsPayal Shah (0000-0002-9349-4614, Okinawa Institute of Science and Technology Graduate University, corresponding author), Kathy Baylis (0000-0001-9633-4766, University of California, Santa Barbara), Jonah Busch (0000-0003-0918-4179, Conservation International), Jens Engelmann (University of Wisconsin–Madison)
Year2021
Volume16
Issue7
Pages074017-074017
Publication date2021-05-27
Open AccessYes
TypeARTICLE
VenueEnvironmental Research Letters (JOURNAL)
Journal identifiersISSN: 1748-9326 • E-ISSN: 1748-9326
PublisherIOP Publishing (PUBLISHER • GB)
DOI10.1088/1748-9326/ac05ed
OpenAlexW3170127246
LanguageEN
Citations received7
References cited52

More than 15% of global terrestrial area is under some form of protection and there is a growing impetus to increase this coverage to 30% by 2030. But not all protection is effective and the reasons some countries’ protected areas (PAs) are more effective than others’ are poorly understood. We evaluate the effectiveness of national PA networks established between 2000 and 2012 globally in avoiding forest loss, taking into account underlying deforestation threats using a combination of matching methods and cross-sectional regressions. We then assess which demographic, agricultural, economic, and governance factors are most strongly associated with national PA effectiveness using machine learning methods. We estimate that national PAs established between 2000 and 2012 reduced deforestation in those areas by 72%, avoiding 86 062 km 2 of forest loss. The effectiveness of national PAs varied by strictness of protection based on International Union for Conservation of Nature category. Strictly PAs reduced forest loss by 81% compared to what would have occurred without protection, while less strictly PAs reduced forest loss by 67%. Thus, the 26% of new PAs that were strictly protected contributed 39% of the total forest loss avoided within PAs between 2000 and 2012. If every country’s PAs were as effective as the country with the most effective PAs within the same region, they would have increased the area of deforestation avoided by 38%, saving a further 119 082 km 2 of forest. Part of the variation in PA effectiveness across countries is explained by the placement of PA in areas facing higher deforestation threat. Countries with lower agricultural activity, higher economic growth and better governance are most strongly associated with greater country-level PA effectiveness

Deforestation (computer science · Economics · Environmental protection · Environmental resource management · Geography · Natural resource economics · Protected area · Computer Science · Conservation, Biodiversity, and Resource Management · Economic and Environmental Valuation · Environmental Science · Land Use and Ecosystem Services · Forestry

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    Open Access•Paulette G Curtis, Christy M Slay et al.•Science•2018

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Citations per year1.75
Citation span2022 - 2026 (5)
Highly citedNo

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