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Spatio-temporal evolution and driving factors of carbon storage in the Western Sichuan Plateau.
Xiang, Mingshun; Wang, Chunjian; Tan, Yuxiang; Yang, Jin; Duan, Linsen; Fang, Yanni; Li, Wenheng; Shu, Yang; Liu, Mengli.
Afiliação
  • Xiang M; College of Tourism and Urban-Rural Planning, Chengdu University of Technology, Chengdu, 610059, China.
  • Wang C; Research Center for Human Geography of Tibetan Plateau and its Eastern Slope (Chengdu University of Technology), Chengdu, 610059, China.
  • Tan Y; College of Tourism and Urban-Rural Planning, Chengdu University of Technology, Chengdu, 610059, China. wangchunjian@cdut.edu.cn.
  • Yang J; College of Earth Science, Chengdu University of Technology, Chengdu, 610059, China. wangchunjian@cdut.edu.cn.
  • Duan L; Research Center for Human Geography of Tibetan Plateau and its Eastern Slope (Chengdu University of Technology), Chengdu, 610059, China. wangchunjian@cdut.edu.cn.
  • Fang Y; College of Tourism and Urban-Rural Planning, Chengdu University of Technology, Chengdu, 610059, China.
  • Li W; College of Tourism and Urban-Rural Planning, Chengdu University of Technology, Chengdu, 610059, China.
  • Shu Y; Research Center for Human Geography of Tibetan Plateau and its Eastern Slope (Chengdu University of Technology), Chengdu, 610059, China.
  • Liu M; College of Earth Science, Chengdu University of Technology, Chengdu, 610059, China.
Sci Rep ; 12(1): 8114, 2022 05 17.
Article em En | MEDLINE | ID: mdl-35581278
The carbon sequestration function of the ecosystem is one of the most important functions of ecosystem service, and it of great significance to study the spatio-temporal differentiation of carbon storage for promoting regional sustainable development. Ecosystems on the Western Sichuan Plateau are highly variable, but its spatio-temporal differentiation and driving factors are not yet clear. In this study, on the basis of land use monitoring data, meteorological and demographic data interpreted from Landsat remote sensing image, and through GIS analysis tools, the carbon storage module of InVEST (Integrated Valuation of Ecosystem Services and Trade-offs) model was used to estimate carbon storage and geodetector was used to detect the driving factors of carbon storage spatial differentiation. The results show that: (1) The carbon storage increased to 1.2455 × 1010 t from 1.2438 × 1010 t in the past 20 years, the ecosystem developed in a healthy way overall. (2) Carbon storage show High-High and Low-Low aggregation characteristics, but the area decreased by 1481.81 km2 and 311.11 km2 respectively, and the spatial cluster effect gradually weakened. (3) HAI is the leading factor causing the spatio-temporal differentiation of regional carbon storage, followed by temperature and NDVI; the interaction between factors significantly enhances the spatial differentiation of carbon storage, indicating that the change of carbon storage is the result of the joint action of natural and socioeconomic factors. The results of the study provide some theoretical basis for the development of differentiated ecological regulation models and strategies, and help to promote high-quality regional development.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Carbono / Ecossistema País/Região como assunto: Asia Idioma: En Revista: Sci Rep Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Carbono / Ecossistema País/Região como assunto: Asia Idioma: En Revista: Sci Rep Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China