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[1]ZHOU Ling,ZHANG Li,XU Jun-yi,et al.Analysis and Prediction of the Land Use Changes in the Lijiang River Basin[J].Research of Soil and Water Conservation,2013,20(06):218-223.

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Analysis and Prediction of the Land Use Changes in the Lijiang River Basin

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 20 Number of periods: 2013 06 Page number: 218-223 Column: Public date: 2013-12-28

Title:: Analysis and Prediction of the Land Use Changes in the Lijiang River Basin

Author(s):: ZHOU Ling^1,2, ZHANG Li², XU Jun-yi¹, YAN Min^1,2, LI Tong³; 1. Geomatics College, Shandong University of Science and Technology, Qingdao, Shandong 266590, China;
2. Key Laboratory of Digital Earth Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing 100094, China;
3. Shandong Agricultural University, Tai’an, Shandong 271018, China

Keywords:: Lijiang River; land use; landscape analysis; ecological environment; CLUE-S model

CLC:: F301.2;TP79

DOI:: -

Abstract:: Based on the Landsat images of 1993, 1999, 2006 and 2000, hybrid classification method was used to classify the landscape of Lijiang River Basin and analyzed the land use changes through land use change detection and analysis of landscape indices (dominance index, evenness index, fragmentation index and diversity index). Furthermore, CLUE-S model was used to predict the land use spatial patterns in the future. The result showed that the land use in the Lijiang River Basin had large changes over the last 20 years, including the reduction of forest area and the increase of construction sites and cultivated area. The dominance index of the study area decreased and the fragmentation index increased, which indicated that the ecological environment had degenerated gradually because the head water forest was destroyed by human and economic activities. CLUE-S model was used to forecast the spatial patterns of land use for the year of 2020. The result indicates that the forest area will continue to decrease and the construction land will continue to increase. The results can provide some references for economic development, land use planning and ecological protection of the study area.

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