Time series of landsat imagery shows vegetation recovery in two fragile karst watersheds in southwest China from 1988 to 2016

Jie Pei, Li Wang, Xiaoyue Wang, Zheng Niu, Maggi Kelly, Xiao Peng Song, Ni Huang, Jing Geng, Haifeng Tian, Yang Yu, Shiguang Xu, Lei Wang, Qing Ying, Jianhua Cao

Research output: Contribution to journalArticle

2 Scopus citations

Abstract

Since the implementation of China's afforestation and conservation projects during recent decades, an increasing number of studies have reported greening trends in the karst regions of southwest China using coarse-resolution satellite imagery, but small-scale changes in the heterogenous landscapes remain largely unknown. Focusing on two typical karst regions in the Nandong and Xiaojiang watersheds in Yunnan province, we processed 2,497 Landsat scenes from 1988 to 2016 using the Google Earth Engine cloud platform and analyzed vegetation trends and associated drivers. We found that both watersheds experienced significant increasing trends in annual fractional vegetation cover, at a rate of 0.0027 year-1 and 0.0020 year-1, respectively. Notably, the greening trends have been intensifying during the conservation period (2001-2016) even under unfavorable climate conditions. Human-induced ecological engineering was the primary factor for the increased greenness. Moreover, vegetation change responded differently to variations in topographic gradients and lithological types. Relatively more vegetation recovery was found in regions with moderate slopes and elevation, and pure limestone, limestone and dolomite interbedded layer as well as impure carbonate rocks than non-karst rocks. Partial correlation analysis of vegetation trends and temperature and precipitation trends suggested that climate change played a minor role in vegetation recovery. Our findings contribute to an improved understanding of the mechanisms behind vegetation changes in karst areas and may provide scientific supports for local afforestation and conservation policies.

Original languageEnglish
Article number2044
JournalRemote Sensing
Volume11
Issue number17
DOIs
StatePublished - 2019

Keywords

  • Afforestation and conservation projects
  • Climate change
  • Google Earth Engine
  • Karst rocky desertification
  • Southwest China
  • Vegetation change

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