文献类型：期刊文献

英文题名：Land degradation dynamic in the first decade of twenty-first century in the Beijing-Tianjin dust and sandstorm source region

作者：Li, Xiaosong[1] Wang, Hongyan[1,2] Wang, Jinying[1] Gao, Zhihai[2]

第一作者：Li, Xiaosong

通信作者：Gao, ZH[1]

机构：[1]Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Key Lab Digital Earth Sci, Beijing 100094, Peoples R China;[2]Chinese Acad Forestry, Inst Forest Resources Informat Tech, Beijing 100091, Peoples R China

年份：2015

卷号：74

期号：5

起止页码：4317-4325

外文期刊名：ENVIRONMENTAL EARTH SCIENCES

收录：;EI(收录号：20152200883006);Scopus(收录号：2-s2.0-84940459763);WOS:【SCI-EXPANDED(收录号:WOS:000360401400055)】；

基金：The authors thank ITPCAS and ChinaCover team for the sharing of the meteorological dataset and land cover data utilized in this study. We also thank the anonymous reviewers and the editor for their valuable comments. This research was financially supported by the Forestry Public Interest Research Program (No. 201404422) and National Major Program of China (21-Y30B05-9001-13/15).

语种：英文

外文关键词：Land degradation; NPP and RUE; Sen's slope; Mann-Kendall

摘要：Land degradation dynamic assessment is very important to understand the effectiveness of ecological engineering and provide decision support for future restorations. Taking the Beijing-Tianjin dust and sandstorm source region (BTSSR) as the study area, the land degradation dynamic in the first decade of twenty-first century is assessed by utilizing the time series trends of net primary production (NPP) and modified rain use efficiency (RUE), respectively, and their sensitivities and performances are evaluated through the validation. The results shows that (1) a widespread degradation in the BTSSR is identified from 2000 to 2010, with a proportion of 52.7 % by using NPP, and 65.2 % when using RUE; (2) the proposed RUE is effective in eliminating high correlations between NPP and precipitation, and overcame the problem that the RUE assumption often breaks down at the pixel scale, through incorporating the land degradation assessment division; and (3) the RUE is preferred for land degradation assessment with a higher accuracy (93.5 %), compared with NPP (81 %), which can provide valuable insights into the land degradation assessment in the arid and semi-arid regions.