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Published on: April 28, 2023
Theoretical framework, indicator system and practical application of key biodiversity areas.
Peng-Cheng Ye1, Can Liu2, Ai-Hua Wang3
1State Environmental Protection Key Laboratory on Biodiversity and Biosafty/State Environmental Protection Scientific Observation and Research Station for Ecological Environment of Wuyi Mountains, Nanjing Institute of Environmental Sciences, Ministry of Ecology and Environment, Nanjing 210042, China.
Identifying Key Biodiversity Areas (KBAs) is crucial for conservation. This study outlines a unified global standard using 11 criteria across ecosystem, species, and gene levels to pinpoint critical habitats for endangered species.
Area of Science:
- Conservation Biology
- Ecology
- Environmental Science
Background:
- Global biodiversity decline necessitates effective conservation strategies.
- Existing methods for identifying important conservation areas lack unified standards.
- Key Biodiversity Areas (KBAs) offer a standardized global approach.
Purpose of the Study:
- To summarize the theoretical and technical framework for Key Biodiversity Areas (KBAs) identification.
- To present a unified system of identification criteria and assessment parameters for KBAs.
- To analyze the application and future prospects of KBA identification in China.
Main Methods:
- Developed a framework based on the theoretical and technical foundation of KBAs.
- Defined five high-level criteria, further divided into eleven sub-level criteria.
- Included parameters at ecosystem, species, and gene levels, plus a comprehensive parameter.
Main Results:
- A structured system of 11 evaluation parameters for KBA identification was established.
- The parameters cover ecosystem, species (8 parameters), gene, and a comprehensive level.
- Analysis of domestic and international case studies demonstrated KBA application.
Conclusions:
- The KBA identification framework provides a unified global standard for conservation.
- This approach is critical for identifying habitats vital to endangered species across ecosystems.
- KBA methods offer a new perspective for ecological policy and protected area planning in China.
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