Contribution of Protected Area Networks to Achieving Global Biodiversity Framework Targets and Sustainable Development Goals: Evidence From Coastal Shandong, China

The protected area network (PAN) is a vital strategy for enhancing ecological integrity and connectivity. However, its contributions to the Kunming-Montreal Global Biodiversity Framework (GBF) 2030 Targets and Sustainable Development Goals (SDGs) remain understudied due to limited indicator assessments and regional case comparisons. This study applied circuit theory to construct and optimize a PAN in China's coastal region. First, resistance surfaces were mapped, connectivity corridors identified, and network key points determined. Second, the network structure was analyzed to classify source areas and corridors by importance and to identify potential conservation zones. Finally, the PAN's contributions to GBF Targets 2 and 3, SDG 15 indicators, and related synergistic benefits were quantified using coverage-based performance metrics and spatial analysis. The results show that the PAN raises protected-area coverage to 33.3%, meeting the GBF 30 × 30 target, boosts SDG 15 terrestrial protection by 50% above the regional average, and supports other SDGs. Key connectivity points align along the coastal belt, with eight regions exhibiting both pinch points and barriers, underscoring the complexity of coastal-terrestrial ecotones. This study highlights the unique role of coastal PANs in global conservation and recommends refined assessment frameworks and collaborative planning to enhance their international applicability.

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Publication Details

Journal
Ecology and Evolution
Published
2025-08-01
DOI
https://doi.org/10.1002/ece3.71900
Citations
1
Primary Topic
Wildlife-Road Interactions and Conservation
Type
article
Field-Weighted Citation Impact
1.72

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article

Contribution of Protected Area Networks to Achieving Global Biodiversity Framework Targets and Sustainable Development Goals: Evidence From Coastal Shandong, China

Xinyu Liu, Fan Yu Lin, Ye Zhao, Nan Liu et al.
1 citations
Ecology and Evolution
Wildlife-Road Interactions and Conservation
1.72
article

Contribution of Protected Area Networks to Achieving Global Biodiversity Framework Targets and Sustainable Development Goals: Evidence From Coastal Shandong, China

Xinyu Liu, Fan Yu Lin, Ye Zhao, Nan Liu, Wenyu Zhang, Li Zhao
article en
1 citations

Abstract

The protected area network (PAN) is a vital strategy for enhancing ecological integrity and connectivity. However, its contributions to the Kunming-Montreal Global Biodiversity Framework (GBF) 2030 Targets and Sustainable Development Goals (SDGs) remain understudied due to limited indicator assessments and regional case comparisons. This study applied circuit theory to construct and optimize a PAN in China's coastal region. First, resistance surfaces were mapped, connectivity corridors identified, and network key points determined. Second, the network structure was analyzed to classify source areas and corridors by importance and to identify potential conservation zones. Finally, the PAN's contributions to GBF Targets 2 and 3, SDG 15 indicators, and related synergistic benefits were quantified using coverage-based performance metrics and spatial analysis. The results show that the PAN raises protected-area coverage to 33.3%, meeting the GBF 30 × 30 target, boosts SDG 15 terrestrial protection by 50% above the regional average, and supports other SDGs. Key connectivity points align along the coastal belt, with eight regions exhibiting both pinch points and barriers, underscoring the complexity of coastal-terrestrial ecotones. This study highlights the unique role of coastal PANs in global conservation and recommends refined assessment frameworks and collaborative planning to enhance their international applicability.

Ecology and EvolutionVol. 15(8)
Qingdao University (CN), Qingdao University of Science and Technology (CN), State Forestry and Grassland Administration (CN)
National Natural Science Foundation of China, Youth Innovation Technology Project of Higher School in Shandong Province, Natural Science Fund for Distinguished Young Scholars of Shandong Province
Openalex Percentile: Top 14%
Wildlife-Road Interactions and Conservation
1.72
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