Environmental Earth Sciences

, 75:1477 | Cite as

Spatiotemporal dynamics of land cover and their impacts on potential dust source regions in the Tarim Basin, NW China

  • Guilin Liu
  • Gang Yin
  • Alishir KurbanEmail author
  • Tayierjiang Aishan
  • Hailin You
Thematic Issue
Part of the following topical collections:
  1. Environment and Health in China II


Human-driven dynamics of land cover types in the Tarim Basin are able to affect potential dust source regions and provide particles for dust storms. Analyses about dynamics of potential dust source regions are useful for understanding the effects of human activities on the fragile ecosystem in the extremely arid zone and also provide scientific evidence for the rational land development in the future. This paper therefore selected the Tarim Basin, NW China, as a representative study area to reveal spatiotemporal dynamics of land cover and their impacts on potential dust source regions. The results showed that farmland, desert and forest increased by 28.63, 0.64 and 29.27%, while grassland decreased by 10.29% during 1990–2010. The largest reclamation, grassland loss and desertification were 639.17 × 103, 2350.42 × 103 and 1605.86 × 103 ha during 1995–2000. The relationship between reclamation and grassland loss was a positive correlation, while a highly positive correlation was 0.993 between the desertification and grassland loss at different stages. The most serious dust source region was the desertification during 1990–2010 (1614.58 thousand ha), and the serious region was stable desert (40,631.21 thousand ha). The area of the medium and low dust source region was 499.08 × 103 and 2667.27 × 103 ha. Dramatic reclamation resulted in the desertification by destroying natural vegetation and breaking the balance of water allocation in various regions.


Spatiotemporal dynamics Dust sources Human activities Tarim Basin 



This study was supported by the National Natural Science Foundation of China (NSFC Nos. U1303285 and 31570536; NSFC Nos. 31270742 and 31360200) and VolkswagenStiftung (Grant Number Az.:88 497). We are grateful for two anonymous reviewers to give valuable suggestions on this paper and my colleague: Zipporah Musyimi for polishing the language. We are also grateful for the land cover data from Data Sharing Infrastructure of Earth System Science in China and Landsat-5 TM images from USGS.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2016

Authors and Affiliations

  • Guilin Liu
    • 1
    • 2
  • Gang Yin
    • 3
  • Alishir Kurban
    • 4
    Email author
  • Tayierjiang Aishan
    • 5
  • Hailin You
    • 6
  1. 1.Department of Environmental Remote Sensing and GeoinformaticsUniversity of TrierTrierGermany
  2. 2.Nanjing Institute of Geography and LimnologyChinese Academy of SciencesNanjingChina
  3. 3.College of Information Science and EngineeringXinjiang UniversityÜrümqiChina
  4. 4.Xinjiang Institute of Ecology and GeographyChinese Academy of SciencesÜrümqiChina
  5. 5.Key Laboratory of Oasis Ecology, Institute of Arid Ecology and EnvironmentXinjiang UniversityÜrümqiChina
  6. 6.Poyang Lake Research CenterJiangxi Academy of SciencesNanchangChina

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