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Human-induced vegetation degradation and response of soil nitrogen storage in typical steppes in Inner Mongolia, China

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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  • X. B. Li
  • R. H. Li
  • Guoqing Li
  • H. Wang
  • Z. F. Li
  • X. B. Li
  • X. Y. Hou
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<mark>Journal publication date</mark>01/2016
<mark>Journal</mark>Journal of Arid Environments
Volume124
Number of pages11
Pages (from-to)80-90
Publication StatusPublished
Early online date7/08/15
<mark>Original language</mark>English

Abstract

The residuals trend (RESTREND) method was used to analyze spatial distribution and gradients of vegetation degradation over three time scales: short-term (2006–2011), medium-term (2001–2011), and long-term (1990–2011) and the responses of soil nitrogen storage at different vegetation degradation gradients were compared. The analyses used the 10-day synthetic normalized difference vegetation index of the advanced very high resolution satellite image (1 km2, 1990–2011) and field surveys of typical steppes of Inner Mongolia, China to compare the responses of soil nitrogen storage at different vegetation degradation gradients. The results showed highly significant regression correlation between the maximum values of the normalized difference vegetation index and the natural logarithm of precipitation on pixel spatial series. Differences in the spatial distribution and gradients of human-induced degradation of vegetation were observed. Soil nitrogen storage decreased as vegetation degradation increased; whereas the impact of vegetation degradation on soil nitrogen decreased as soil depth increased. Thus, the modified RESTREND method can identify vegetation degradation gradients at a regional scale, and the response of soil nitrogen storage can be determined through experimental analysis.