[1]CHUN Feng,YIN Shan.Analysis on the Dynamic Change of Landscape Patterns in Etuoke County Based on RS and GIS[J].Research of Soil and Water Conservation,2012,19(05):100-104.
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Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
19
Number of periods:
2012 05
Page number:
100-104
Column:
Public date:
2012-10-20
- Title:
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Analysis on the Dynamic Change of Landscape Patterns in Etuoke County Based on RS and GIS
- Author(s):
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CHUN Feng, YIN Shan
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College of Geographical Science, Inner Mongolia Normal University, Hohhot 010022, China
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- Keywords:
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RS and GIS; Etuoke County; landscape pattern; dynamic analysis
- CLC:
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TP79
- DOI:
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- Abstract:
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Based on the support of RS and GIS technology, using two periods of TM images in 2000 and 2007 and the methods of landscape ecology and statistical analysis, seven indices was selected based on landscape class level and landscape pattern level to analyze dynamic change of landscape patterns from 2000 to 2007 in Etuoke Conty. The results showed that on the landscape class level, the areas of many landscape types increased while that areas of cropland and unused land landscape decreased. The biggest changing amount was cropland landscape, the fastest rate of change was unused land landscape. On the landscape pattern level, plaques density and edge density had both increased, which explained that the degree of landscape fragmentation had intensified and heterogeneity was also getting higher and higher, human disturbance effect was getting more and more serious. The increasing trend of the landscape perimeter-area sub-dimensions index(PAFRAC) indicated that the self-similarity of landscape patch decreased, and the geometric shape tended to be complicaed. The changing trend of the landscape separating degree(SPLIT) indicated that the human disturbance to artificial landscape was more intense than that on semi-natural landscape. Meanwhile, the regional landscape heterogeneity increased and the connectivity reduced, which presented the increase of diversity index and evenness index, decrease of dominance index.