RESOURCES AND ENVIRONMENT IN THE YANGTZE BASIN >> 2016, Vol. 25 >> Issue (09): 1412-1420.doi: 10.11870/cjlyzyyhj201609012

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DYNAMIC CHANGE ANALYSIS OF WETLAND AND ITS SPATIALTEMPORAL TREND IN HANJIANG BASIN FROM 2000 TO 2010

YI Feng-jia1,2, LI Ren-dong1, CHANG Bian-rong1,2, SHI Yuan-yuan1,2, QIU Juan1   

  1. 1. Institute of Geodesy and Geophysics Chinese Academy of Sciences, Wuhan 430077, China;
    2. Faculty of Earth Sciences, University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2015-12-14 Revised:2016-03-30 Online:2016-09-20
  • Supported by:
    Modeling and Forewarning the Spatial-Temporally Distribution of the Spread of Oncomelania hupensis in Jianghan Plain, Central China, (41571487);Strategic Priority Research Program-Climate Change:Carbon Budget and Related Issues of the Chinese Academy of Sciences (XDA0505107)

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Abstract: Remote sensing and geographical information system were integrated to monitor wetland changes in the Hanjiang basin. By combining the landscape dynamic model (K) and dynamic intensity index (DⅡ), we analyzed the wetland data of 2000, 2005, and 2010 of the Hanjiang Basin to reveal the general pattern. Buffer analysis and index of abundance were adopted to identify the spatial heterogeneity of wetland in the Hanjiang Basin. Results showed that, area of lakes, rivers, and paddy fields decreased greatly, wherein the values of K and DⅡ in the first 5 years were evidently higher than those after 5 years. Spatial heterogeneity of wetland in the Hanjiang Basin was apparent, the most drastic change occurred downstream, followed by the middle reaches of the basin. The external and internal changes together contributed to wetland shrinkage. There are three main characteristics of transformation between paddy fields and reservoirs/ponds:(1) the intensity of change increased with a distance from 8 km to 12 km around the lakes, (2) the trend of change was evident from 4 km to 6 km near the rivers, and (3) a significant change occurs near land utilized for traffic. Paddy fields, lakes, reservoirs, and ponds were easily transformed into construction land, which accounted for 22.55% of the total variation during 2000 to 2010.

Key words: wetlands, monitoring, remote sensing, spatial-temporal change, tendency, Hanjiang basin

CLC Number: 

  • TP75
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