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Published in: Cluster Computing 3/2019

27-12-2017

Landscape pattern analysis based on GIS technology and index analysis

Authors: Xin He, Yin Bo, Jie Du, Keguo Li, Hongcheng Wang, Zhongbao Zhao

Published in: Cluster Computing | Special Issue 3/2019

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Abstract

Based on the 2014 forest resource second-class investigation data and DEM data of Yabuli forest park, we used the GIS technology and Fragstats4.2 analysis software, and adopted the 2-class classification system including land-use type and dominant tree species to analyze the composition elements, patch characteristics and spatial distribution of landscapes in research area. The results are as follows:forest land, accounting for 74.5% of the total area, is the largest landscape type, followed by agricultural land which takes 11.49% of the total area; Broad leaf mixed forest (24.76%), linden forest. (17.57%), larch forest (11.83%), A. mono Maxim (11.74%) and birch (9.89%) are main landscape types in forest land, and the patches are in concentrated distribution. The distribution of the components of each landscape are affected obviously by altitude, exposure and gradient. Great differences also exist in their complexity, adjacency, reunion and fragmentation. The interference of human activities and people’s long-term forest management also have a great impact on the spatial distribution of forest landscape.

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Metadata
Title
Landscape pattern analysis based on GIS technology and index analysis
Authors
Xin He
Yin Bo
Jie Du
Keguo Li
Hongcheng Wang
Zhongbao Zhao
Publication date
27-12-2017
Publisher
Springer US
Published in
Cluster Computing / Issue Special Issue 3/2019
Print ISSN: 1386-7857
Electronic ISSN: 1573-7543
DOI
https://doi.org/10.1007/s10586-017-1502-3

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