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Theoretical framework, indicator system and practical application of key biodiversity areas.
Ye, Peng-Cheng; Liu, Can; Wang, Ai-Hua; Wu, Jian-Yong; Zhao, Xiao; Chen, Hui; Si, Qin.
Afiliação
  • Ye PC; State 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.
  • Liu C; Management Committee of Xianju National Park, Xianju 317300, Zhejiang, China.
  • Wang AH; Foreign Environmental Cooperation Center, Ministry of Ecology and Environment, Beijing 100035, China.
  • Wu JY; State 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.
  • Zhao X; State 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.
  • Chen H; State 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.
  • Si Q; State 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.
Ying Yong Sheng Tai Xue Bao ; 34(3): 835-845, 2023 Mar.
Article em En | MEDLINE | ID: mdl-37087668
ABSTRACT
With the continuous decline of global biodiversity, biodiversity conservation has attracted more and more attention from the international society. In order to slow down the trend of biodiversity decline, it is particularly important to identify key areas for biodiversity conservation. However, most of current methods for identifying important areas have different assessment criteria and focus on different biological assemblages (species or communities) and ecosystem types. Key biodiversity areas (KBAs) are sites that contribute significantly to global biodiversity persistence. Unlike traditional research and identification methods, KBAs identification is based on a unified global standard to explore habitats that are critical to endangered plants and animals in terrestrial, freshwater, and marine ecosystems. Based on the theoretical and technical framework of KBAs, we summarized the system of identification criteria and assessment parameters for KBAs. The five high-level criteria are separated into eleven sub-level criteria. Among the eleven evaluation parameters, there is one evaluation parameter for the ecosystem level, eight evaluation parameters for the species level, one evaluation parameter for the gene level, and one comprehensive evaluation parameter. In addition, we analyzed the application of KBAs identification in biodiversity research and conservation combined with relevant domestic and foreign research cases. Furthermore, we discussed the future development direction and application prospect of KBAs identification method in China. This method could provide a new perspective for the formulation of ecological protection policies and the planning of naturally protected areas in China.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ecossistema / Conservação dos Recursos Naturais Tipo de estudo: Prognostic_studies Limite: Animals País como assunto: Asia Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Ecossistema / Conservação dos Recursos Naturais Tipo de estudo: Prognostic_studies Limite: Animals País como assunto: Asia Idioma: En Ano de publicação: 2023 Tipo de documento: Article