A global-level assessment of the effectiveness of protected areas at resisting anthropogenic pressures.
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Publication Date
2019-11Journal Title
Proceedings of the National Academy of Sciences of the United States of America
ISSN
0027-8424
Publisher
National Academy of Sciences
Volume
116
Issue
46
Pages
23209-23215
Language
eng
Type
Article
This Version
AM
Physical Medium
Print-Electronic
Metadata
Show full item recordCitation
Geldmann, J., Manica, A., Burgess, N. D., Coad, L., & Balmford, A. (2019). A global-level assessment of the effectiveness of protected areas at resisting anthropogenic pressures.. Proceedings of the National Academy of Sciences of the United States of America, 116 (46), 23209-23215. https://doi.org/10.1073/pnas.1908221116
Abstract
One-sixth of the global terrestrial surface now falls within Protected Areas (PAs) making it essential to understand how far they mitigate the increasing pressures on nature which characterize the Anthropocene. In by far the largest analysis of this question to date and not restricted to forested PAs, we compile data from 12,315 PAs across 152 countries to investigate their ability to reduce human pressure, and how this varies with socio-economic and management circumstances. While many PAs show positive outcomes, strikingly we find that compared with matched unprotected areas PAs have on average not reduced a compound index of pressure change over the past 15 years. Moreover, in tropical regions average pressure change from cropland conversion has increased inside PAs even more than in matched unprotected areas. However, our results also confirm previous studies restricted to forests where pressure, albeit increasing, did so less than in their counterfactual. Our results also show that countries with high national level development scores have experienced lower rates of pressure increase over the past 15 years within their PAs compared with a matched outside. Our results caution against the rapid establishment of new PAs without simultaneously addressing the conditions needed to enable their success.
Keywords
Humans, Models, Statistical, Conservation of Natural Resources
Sponsorship
European Commission Horizon 2020 (H2020) Marie Sk?odowska-Curie actions (676108)
European Commission Horizon 2020 (H2020) Marie Sk?odowska-Curie actions (706784)
Identifiers
External DOI: https://doi.org/10.1073/pnas.1908221116
This record's URL: https://www.repository.cam.ac.uk/handle/1810/297758
Rights
All rights reserved