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Comparison of ecosystem health in different geomorphic regions of Chishui River Basin, Southwest China.
Chen, Hong-Lian; Li, Rui; Zhang, Yu-Shan; Wu, Qing-Lin; Yuan, Jiang; Gao, Jia-Yong.
Afiliación
  • Chen HL; School of Karst Science, Guizhou Normal University, Guiyang 550001, China.
  • Li R; State Engineering Technology Institute for Karst Desertification Control, Guiyang 550001, China.
  • Zhang YS; School of Karst Science, Guizhou Normal University, Guiyang 550001, China.
  • Wu QL; State Engineering Technology Institute for Karst Desertification Control, Guiyang 550001, China.
  • Yuan J; School of Karst Science, Guizhou Normal University, Guiyang 550001, China.
  • Gao JY; State Engineering Technology Institute for Karst Desertification Control, Guiyang 550001, China.
Ying Yong Sheng Tai Xue Bao ; 34(7): 1912-1922, 2023 Jul.
Article en En | MEDLINE | ID: mdl-37694475
Ecosystem health of the Chishui River Basin (CRB, a crucial ecological barrier in the upper reaches of the Yangtze River) is vital for the ecological security and sustainability of the Yangtze River Basin. We used RUSLE model, SWAT model, Fragstats and geographic detectors to construct a theoretical framework of ecosystem health assessment for CRB, and examined the spatiotemporal variations and driving factors of ecosystem health in CRB under ecological restoration from 2010 to 2020. The results showed that ecosystem service in the CRB decreased and then increased during 2010-2020 and the overall trend was downward. The overall ecosystem service function was higher in the Danxia (non-karst) area than that in the karst area. The ecosystem health was generally subhealthy, with the Danxia area being mostly extremely healthy and healthy, whereas the karst area mostly subhealthy and unhealthy. There were differences in the dominant drivers of ecosystem health between karst and Danxia areas. Vegetation, precipitation, and bedrock bareness rate were the dominant drivers in the karst area, while vegetation, land use, and precipitation were the dominant factors in Danxia area. After interaction detection, the explanatory power of impact factors increased, and the dominant interaction factor combinations in different geomorphological type regions had shown great differences. Among them, precipitation∩normalized difference vegetation index (NDVI), precipitation∩digital elevation model (DEM) and precipitation ∩ bedrock bareness rate were the dominant interaction factor combinations in the karst area, and NDVI∩precipitation, NDVI∩land use and NDVI∩DEM were the dominant interaction factor combinations in Danxia area. These results would provide scientific support for health maintenance and conservation of CRB ecosystem.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Ecosistema / Ríos Tipo de estudio: Prognostic_studies País/Región como asunto: Asia Idioma: En Revista: Ying Yong Sheng Tai Xue Bao Asunto de la revista: SAUDE AMBIENTAL Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Ecosistema / Ríos Tipo de estudio: Prognostic_studies País/Región como asunto: Asia Idioma: En Revista: Ying Yong Sheng Tai Xue Bao Asunto de la revista: SAUDE AMBIENTAL Año: 2023 Tipo del documento: Article País de afiliación: China Pais de publicación: China