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Characterization and attribution of vegetation dynamics in the ecologically fragile South China Karst: Evidence from three decadal Landsat observations.
Pei, Jie; Wang, Li; Huang, Huabing; Wang, Lei; Li, Wang; Wang, Xiaoyue; Yang, Hui; Cao, Jianhua; Fang, Huajun; Niu, Zheng.
Afiliação
  • Pei J; School of Geospatial Engineering and Science, Sun Yat-sen University, Zhuhai, China.
  • Wang L; Key Laboratory of Natural Resources Monitoring in Tropical and Subtropical Area of South China, Ministry of Natural Resources, Zhuhai, China.
  • Huang H; State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China.
  • Wang L; School of Geospatial Engineering and Science, Sun Yat-sen University, Zhuhai, China.
  • Li W; Key Laboratory of Natural Resources Monitoring in Tropical and Subtropical Area of South China, Ministry of Natural Resources, Zhuhai, China.
  • Wang X; International Research Center of Big Data for Sustainable Development Goals, Beijing, China.
  • Yang H; State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China.
  • Cao J; The Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
  • Fang H; Institute of Karst Geology, Chinese Academy of Geological Sciences (CAGS), Karst Dynamics Laboratory, Ministry of Natural Resources (MNR) & Guangxi, Guilin, China.
  • Niu Z; International Research Centre on Karst, Under the Auspices of United Nations Educational, Scientific and Cultural Organization (UNESCO), Guilin, China.
Front Plant Sci ; 13: 1043389, 2022.
Article em En | MEDLINE | ID: mdl-36388591
Plant growth and its changes over space and time are effective indicators for signifying ecosystem health. However, large uncertainties remain in characterizing and attributing vegetation changes in the ecologically fragile South China Karst region, since most existing studies were conducted at a coarse spatial resolution or covered limited time spans. Considering the highly fragmented landscapes in the region, this hinders their capability in detecting fine information of vegetation dynamics taking place at local scales and comprehending the influence of climate change usually over relatively long temporal ranges. Here, we explored the spatiotemporal variations in vegetation greenness for the entire South China Karst region (1.9 million km2) at a resolution of 30m for the notably increased time span (1987-2018) using three decadal Landsat images and the cloud-based Google Earth Engine. Moreover, we spatially attributed the vegetation changes and quantified the relative contribution of driving factors. Our results revealed a widespread vegetation recovery in the South China Karst (74.80%) during the past three decades. Notably, the area of vegetation recovery tripled following the implementation of ecological engineering compared with the reference period (1987-1999). Meanwhile, the vegetation restoration trend was strongly sustainable beyond 2018 as demonstrated by the Hurst exponent. Furthermore, climate change contributed only one-fifth to vegetation restoration, whereas major vegetation recovery was highly attributable to afforestation projects, implying that anthropogenic influences accelerated vegetation greenness gains in karst areas since the start of the new millennium during which ecological engineering was continually established. Our study provides additional insights into ecological restoration and conservation in the highly heterogeneous karst landscapes and other similar ecologically fragile areas worldwide.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Front Plant Sci Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China País de publicação: Suíça

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Front Plant Sci Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China País de publicação: Suíça