DocumentCode
2713641
Title
Landscape pattern and stability analysis of Jiuzhaigou Nature Reserve in Sichuan China
Author
Liu, Yanguo ; Wang, Qing ; Wang, Jun
Author_Institution
Sch. of Environ. & Resource, Southwest Univ. of Sci. & Technol., Mianyang, China
fYear
2011
fDate
24-26 June 2011
Firstpage
1
Lastpage
4
Abstract
Based on TM image data in 1997 and 2005, supported by RS and GIS techniques, seven indices were put forward to analyze the landscape pattern and stability of Jiuzhaigou Nature Reserve, these indices included diversity, dominance, evenness, fragmentation, isolation, fractal dimension and stability index. The results showed that: (1) the numbers and areas of landscape patterns were in the disproportion, the forestland and grassland being in the especial absolute advantage, the forestland was the landscape matrix in research periods; (2) during the research periods the diversity and evenness of the entire landscape decreased, the dominance and fragmentation increased, showing that the human disturbance factors and the dominance of forestland and grassland being increased;(3) the stability of the landscape patterns were improved, the construction land, grassland and water areas were in greatest changes which should be paid particular attention. Finally, some sustainable developmental countermeasures of landscape patterns were put forward accordingly.
Keywords
data analysis; forestry; fractals; geographic information systems; remote sensing; vegetation mapping; AD 1997 to 2005; GIS technique; Jiuzhaigou Nature Reserve; Sichuan China; TM image data analysis; construction land; forest land; fractal dimension index; fragmentation index; grassland; human disturbance factor; landscape pattern stability analysis; remote sensing technique; stability index; Environmental factors; Forestry; Humans; Indexes; Presses; Stability criteria; GIS; Jiuzhaigou Nature Reserve; RS; Stability; landscape pattern;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoinformatics, 2011 19th International Conference on
Conference_Location
Shanghai
ISSN
2161-024X
Print_ISBN
978-1-61284-849-5
Type
conf
DOI
10.1109/GeoInformatics.2011.5981128
Filename
5981128
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