Conservation priority corridors enhance the effectiveness of protected area networks in China

The expansion and interconnection of protected areas are central to achieving the Kunming-Montreal Global Biodiversity Framework’s ambitious goals, yet their synergistic relationship remains underexplored. Here, we propose a framework integrating wildlife dispersal-based connectivity to address two key objectives in China: (1) constructing a cost-effective nature conservation network by combining connectivity and biodiversity prioritization, and (2) evaluating climate and anthropogenic risks while addressing habitat representation gaps. The framework aims to designate 30% of land as protected areas and informally allocate additional 30% of land as conservation priority corridors. Results show this strategy connects 57% of existing protected areas, protects 74% of priority zones, and achieves 89% of habitat representation targets. While current protected areas mitigate climate and anthropogenic threats, future expansion faces challenges due to geographic variations in these threats and the necessity for adequate representation. Our approach identifies and prioritizes these challenges, offering a data-driven pathway to achieve Kunming-Montreal targets. The integration of protected areas into conservation priority corridors in China can effectively connect 57% of existing protected areas, safeguard 74% of priority conservation areas, and achieve 89% of habitat representation targets, according to a connectivity and biodiversity conservation framework

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Publication Details

Journal
Communications Earth & Environment
Published
2025-04-08
DOI
https://doi.org/10.1038/s43247-025-02227-y
Citations
13
Primary Topic
Wildlife-Road Interactions and Conservation
Type
article
Field-Weighted Citation Impact
22.31

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article

Conservation priority corridors enhance the effectiveness of protected area networks in China

Yujin Zhao, Weicheng Sun, Yongfei Bai, Entao Zhang et al.
13 citations
Communications Earth & Environment
Wildlife-Road Interactions and Conservation
22.31
article

Conservation priority corridors enhance the effectiveness of protected area networks in China

Yujin Zhao, Weicheng Sun, Yongfei Bai, Entao Zhang, Wenhe Chen, Yao Wang, Zhisheng Wu
article en
13 citations

Abstract

The expansion and interconnection of protected areas are central to achieving the Kunming-Montreal Global Biodiversity Framework’s ambitious goals, yet their synergistic relationship remains underexplored. Here, we propose a framework integrating wildlife dispersal-based connectivity to address two key objectives in China: (1) constructing a cost-effective nature conservation network by combining connectivity and biodiversity prioritization, and (2) evaluating climate and anthropogenic risks while addressing habitat representation gaps. The framework aims to designate 30% of land as protected areas and informally allocate additional 30% of land as conservation priority corridors. Results show this strategy connects 57% of existing protected areas, protects 74% of priority zones, and achieves 89% of habitat representation targets. While current protected areas mitigate climate and anthropogenic threats, future expansion faces challenges due to geographic variations in these threats and the necessity for adequate representation. Our approach identifies and prioritizes these challenges, offering a data-driven pathway to achieve Kunming-Montreal targets. The integration of protected areas into conservation priority corridors in China can effectively connect 57% of existing protected areas, safeguard 74% of priority conservation areas, and achieve 89% of habitat representation targets, according to a connectivity and biodiversity conservation framework

Communications Earth & EnvironmentVol. 6(1)
Chinese Academy of Sciences (CN), North West Agriculture and Forestry University (CN), Institute of Botany (CN), University of Chinese Academy of Sciences (CN)
Chinese Academy of Sciences
Life in Land
Openalex Percentile: Top 0%
Wildlife-Road Interactions and Conservation
22.31
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