Mixed effectiveness of global protected areas in resisting habitat loss

Protected areas are the cornerstones of conservation efforts to mitigate the anthropogenic pressures driving biodiversity loss. Nations aim to protect 30% of Earth's land and water by 2030, yet the effectiveness of protected areas remains unclear. Here we analyze the performance of over 160,000 protected areas in resisting habitat loss at different spatial and temporal scales, using high-resolution data. We find that 1.14 million km<sup>2</sup> of habitat, equivalent to three times the size of Japan, across 73% of protected areas, had been altered between 2003 and 2019. These protected areas experienced habitat loss due to the expansion of built-up land, cropland, pastureland, or deforestation. Larger and stricter protected areas generally had lower rates of habitat loss. While most protected areas effectively halted the expansion of built-up areas, they were less successful in preventing deforestation and agricultural conversion. Protected areas were 33% more effective in reducing habitat loss compared to unprotected areas, though their ability to mitigate nearby human pressures was limited and varied spatially. Our findings indicate that, beyond establishing new protected areas, there is an urgent need to enhance the effectiveness of existing ones to better prevent habitat loss and achieve the post-2020 global biodiversity goals.

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Publication Details

Journal
Nature Communications
Published
2024-09-27
DOI
https://doi.org/10.1038/s41467-024-52693-9
Citations
88
Primary Topic
Conservation, Biodiversity, and Resource Management
Type
article
Field-Weighted Citation Impact
24.87

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article

Mixed effectiveness of global protected areas in resisting habitat loss

James E. M. Watson, Wei Qi, Siao Sun, Jianguo Liu et al.
88 citations
Nature Communications
Conservation, Biodiversity, and Resource Management
24.87
article

Mixed effectiveness of global protected areas in resisting habitat loss

James E. M. Watson, Wei Qi, Siao Sun, Jianguo Liu, Chuanglin Fang, Zhenbo Wang, Guangdong Li
article en
88 citations

Abstract

Protected areas are the cornerstones of conservation efforts to mitigate the anthropogenic pressures driving biodiversity loss. Nations aim to protect 30% of Earth's land and water by 2030, yet the effectiveness of protected areas remains unclear. Here we analyze the performance of over 160,000 protected areas in resisting habitat loss at different spatial and temporal scales, using high-resolution data. We find that 1.14 million km<sup>2</sup> of habitat, equivalent to three times the size of Japan, across 73% of protected areas, had been altered between 2003 and 2019. These protected areas experienced habitat loss due to the expansion of built-up land, cropland, pastureland, or deforestation. Larger and stricter protected areas generally had lower rates of habitat loss. While most protected areas effectively halted the expansion of built-up areas, they were less successful in preventing deforestation and agricultural conversion. Protected areas were 33% more effective in reducing habitat loss compared to unprotected areas, though their ability to mitigate nearby human pressures was limited and varied spatially. Our findings indicate that, beyond establishing new protected areas, there is an urgent need to enhance the effectiveness of existing ones to better prevent habitat loss and achieve the post-2020 global biodiversity goals.

Nature CommunicationsVol. 15(1)
Michigan Department of Natural Resources (US), The University of Queensland (AU), Chinese Academy of Sciences (CN), Institute of Geographic Sciences and Natural Resources Research (CN), University of Chinese Academy of Sciences (CN), Michigan State University (US)
National Natural Science Foundation of China, Chinese Academy of Sciences, Science Fund for Creative Research Groups, Youth Innovation Promotion Association of the Chinese Academy of Sciences, Youth Innovation Promotion Association
Life in Land
Openalex Percentile: Top 0%
Conservation, Biodiversity, and Resource Management
24.87
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