Literature DB >> 23583790

Quantifying the synergistic effect of the precipitation and land use on sandy desertification at county level: a case study in Naiman Banner, Northern China.

Ge Xiaodong1, Ni Jinren, Li Zhenshan, Hu Ronggui, Ming Xin, Ye Qing.   

Abstract

Assessing the driving forces of sandy desertification is fundamental and important for its control. It has been widely accepted that both climatic conditions and land use have great impact on sandy desertification in northern China. However, the relative role and synergistic effect of each driving force of sandy desertification are still not clear. In this paper, an indicator named as SI was defined to represent the integrated probability of sandy desertification caused by land use. A quantitative method was developed for characterizing the relative roles of annual precipitation and land use to sandy desertification in both spatial and temporal dimensions at county level. Results showed that, at county level, land use was the main cause of sandy desertification for Naiman Banner since 1987-2009. In the case of spatial dimension, the different combination of land use types decided the distribution of sandy desertification probability and finally decided the spatial pattern of bared sand land. In the case of temporal dimension, the synergistic effect of land use and precipitation highly influenced the spatial distribution of sandy desertification.
Copyright © 2013 Elsevier Ltd. All rights reserved.

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Year:  2013        PMID: 23583790     DOI: 10.1016/j.jenvman.2013.02.033

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  2 in total

1.  Trend Patterns of Vegetative Coverage and Their Underlying Causes in the Deserts of Northwest China over 1982-2008.

Authors:  Tianyi Zhang; Hesong Wang
Journal:  PLoS One       Date:  2015-05-11       Impact factor: 3.240

2.  Historical grassland desertification changes in the Horqin Sandy Land, Northern China (1985-2013).

Authors:  Jinya Li; Bin Xu; Xiuchun Yang; Zhihao Qin; Lina Zhao; Yunxiang Jin; Fen Zhao; Jian Guo
Journal:  Sci Rep       Date:  2017-06-07       Impact factor: 4.379

  2 in total

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