The Greenness of Major Shrublands in China Increased from 2001 to 2013

نویسندگان

  • Yalin Wang
  • Qiong Gao
  • Ting Liu
  • Yuqiang Tian
  • Mei Yu
چکیده

Shrubs have been reported to expand into grassland and polar regions in the world, which causes complex changes in ecosystem carbon, nutrients, and resilience. Given the projected global drying trend, shrubs with their superior drought resistance and tolerance may play more important roles in global ecosystem function. Shrubland exists in all of the climate zones in China, from subtropical to temperate and high cold regions, and they occupy more than 20% of the land area. In this paper, we analyzed the spatiotemporal trend of MODIS (Moderate Resolution Imaging Spectroradiometer) EVI (Enhanced Vegetation Index) for six shrubland types in China from 2001 to 2013 and its relationship to intraand inter-annual regional climate dynamics. Existing literature reported that the vegetation index did not change significantly in China during 2000–2012. However, we found that the shrubland EVI in China increased significantly at a rate of 1.01 ˆ 10 ́3 EVI ̈ a ́1 from 2001 to 2013. Two major shrubland types (subtropical evergreen and temperate deciduous) and two desert types (high-cold desert and temperate desert) increased significantly, whereas subalpine evergreen shrubland decreased at a rate of ́0.64 ˆ 10 ́3 EVI ̈ a ́1. We also detected a significantly lengthened growing season of temperate deciduous shrubland. The growing season length contributed significantly to the annual averaged EVI for temperate deciduous, subalpine deciduous and subtropical evergreen shrublands. Furthermore, the precipitation variation contributed more to the annual averaged EVI than the temperature. The year-round decrease in rainfall and the increase in temperature led to a significant reduction in the subalpine evergreen shrubland EVI. The enhancement of countrywide shrubland EVI may promote its contribution to the regional ecosystem function and its potential to invade grasslands.

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عنوان ژورنال:
  • Remote Sensing

دوره 8  شماره 

صفحات  -

تاریخ انتشار 2016