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Scientific Research

Dynamic Analysis of Landscape Pattern of the Plateau Wetland of Zoige County

  • Hua MA ,
  • Yifei WANG ,
  • Yu NING ,
  • Gaojie WU ,
  • Julan GUO ,
  • Yuechen TAN ,
  • Chunyi LI ,
  • Haiyan LIN
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  • 1. Institute of Wetland Research,Chinese Academy of Forestry,Beijing 100091,China
    2. Beijing Key Laboratory of Wetland Services and Restoration,Beijing 100091,China
    3. Sichuan Zoige Alpine Wetland National Ecosystem Research Station,Zoige 624500,China
    4. Institute of Forestry Informatization,Chongqing Academy of Forestry,Chongqing 400036,China

Revised date: 2018-11-19

  Online published: 2020-09-25

Abstract

In this study,3 Landsat satellite images at the end of summer of 2000,2010 and 2016 in Zoige County were taken as the main data source.With the support of remote sensing image processing software(ArcGIS 10.2 and ENVI 5.3)and landscape analysis software(FRAGSTATS 4.2),the characteristics of landscape pattern change,the conversion between various landscape types and landscape index change in Zoige County from 2000 to 2016 were analyzed by using the theory of landscape ecology.The study indicated that,1)from 2000 to 2010,the frequency of transformation between patch types in the study area was relatively high,mainly reflected in the conversion of other landscape types to grassland,the area of marsh and lakes began to shrink,and the landscape like sand and desert became grassland on a large scale.2)From 2010 to 2016,the variation trend of landscape transformation was significantly reduced,and the area of marsh and lakes was restored.3)Overall,the basic landscape pattern of the study area did not change significantly,grassland was the most dominant landscape type in the study area,the area and heterogeneity of roads and residences continued to increase.

Cite this article

Hua MA , Yifei WANG , Yu NING , Gaojie WU , Julan GUO , Yuechen TAN , Chunyi LI , Haiyan LIN . Dynamic Analysis of Landscape Pattern of the Plateau Wetland of Zoige County[J]. Forest and Grassland Resources Research, 2019 , 0(1) : 109 -115 . DOI: 10.13466/j.cnki.lyzygl.2019.01.017

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