Chin J Plan Ecolo ›› 2006, Vol. 30 ›› Issue (2): 268-277.doi: 10.17521/cjpe.2006.0036

• Research Articles • Previous Articles     Next Articles

ANALYSIS OF HUMAN_INDUCED STEPPE DEGRADATION BASED ON REMOTE SENSING IN XILIN GOLE, INNER MONGOLIA, CHINA

CAO Xin1; GU Zhi_Hui1; CHEN Jin1*; LIU Jin2;SHI Pei_Jun1   

  1. 1 Key Laboratory of Environment Change and Natural Disaster, Ministry of Education, College of Resource Science and Technology, Beijing Normal University, Beijing 100875, China; 2 Bureau of Science and Technology, Xinlin Gole, Xilinhote, Inner Mongolia 026000, China
  • Online:2006-03-30 Published:2006-03-30
  • Contact: CHEN Jin

Abstract:

Grassland degradation in arid and semi_arid steppe results from the integrated impacts of nature and human factors and is one of the most important ecological and economic issues in China. It is necessary to discriminate betweenn atural and human_induced degradation for purposes of rehabilitation and restoration of degraded steppe regions. Based on existing research, we proposed a method that integrated regression analysis and residual analysis to discriminate between areas degraded by human activities and those caused naturally. We applied this method to the Xilin Gole Steppe in Inner Mongolia, China as a case study using Pathfinder NOAA/AVHRR  NDVI data from 1983 to 1999 and meteorological data within the same time period. Firstly, we constructed a regression model using the first 6 years (1983_1988) of data for each pixel between annual maximal  NDVI and meteorological data (precipitation and temperature) including a time lag for precipitation. Secondly, the difference or residuals between actual and predicted maximal  NDVI were derived for the latter 11 years (1989-1999). The analysis of the trends in the residuals of the first data set over time indicated that pixels with negative trends were human_induced degradation. The results showed that the Xilin Gole Steppe experienced a heavier degree of human_induced degradation from 1989 to 1999 with larger areas being impacted. The results are in accord with the status quo of the study area.

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