Kaixuan Zhang, Jiaying Shi, Chen Meng. Evolution Characteristics of Landscape Patterns and Related Affecting Factors in Gucun Countryside Forests Park of Shanghai from 2000 to 2018[J]. Journal of Southwest Forestry University, 2020, 40(3): 139-147. DOI: 10.11929/j.swfu.201910072
Citation: Kaixuan Zhang, Jiaying Shi, Chen Meng. Evolution Characteristics of Landscape Patterns and Related Affecting Factors in Gucun Countryside Forests Park of Shanghai from 2000 to 2018[J]. Journal of Southwest Forestry University, 2020, 40(3): 139-147. DOI: 10.11929/j.swfu.201910072

Evolution Characteristics of Landscape Patterns and Related Affecting Factors in Gucun Countryside Forests Park of Shanghai from 2000 to 2018

  • Based on the 4 time-phase aerial remote sensing image data in 2000, 2006, 2012 and 2018, the dynamic evolution characteristics of the landscape pattern and its affecting factors in Gucun countryside forest park were analyzed, by using the methods of dynamic change analysis, landscape indices analysis and partial least squares regression analysis. The results revealed that the change of landscape from 2000 to 2018 in Gucun countryside forest park belonged to a slow-changing type. The dominant landscape matrix changed from farmland patch type to forest patch type, indicating that the forestland increased rapidly, while the farmland and residential land decreased rapidly. The most stable landscape type in Gucun countryside forest park in different study periods is forest patches, and the main transfer-out type for most landscape was forestland. The main source of forestland was farmland and residential land. The landscape indices showed the consistently increasing trend of the landscape fragmentation and landscape heterogeneity. The influencing factors indicated thatpopulation density and disposable income of residents were the main driving factors influencing the landscape pattern change in the study area. The paper can provide a reference for the sustainable management and rational use of urban countryside forests.
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