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[1]Xie Meng,Wu Weicheng.Impacts of Change in Land Use and Landscape Pattern on Ecosystem Service Value in Northeast of Jiangxi Province[J].Research of Soil and Water Conservation,2024,31(03):331-341.[doi:10.13869/j.cnki.rswc.2024.03.019]

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Impacts of Change in Land Use and Landscape Pattern on Ecosystem Service Value in Northeast of Jiangxi Province

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 31 Number of periods: 2024 03 Page number: 331-341 Column: Public date: 2024-04-30

Title:: Impacts of Change in Land Use and Landscape Pattern on Ecosystem Service Value in Northeast of Jiangxi Province

Author(s):: Xie Meng, Wu Weicheng; (Key Laboratory of Digital Land and Resources and Faculty of Earth Science, East China University of Technology, Nanchang 330013, China)

Keywords:: ESV; land use; landscape pattern; GTWR model; northeast of Jiangxi Province

CLC:: X171.1; F301.24

DOI:: 10.13869/j.cnki.rswc.2024.03.019

Abstract:: [Objective] The aims of this study are to examine the response of ecosystem service value(ESV)to the change in land use and landscape pattern, and to provide reference for maintaining the functional stability of the ecosystem in northeast of Jiangxi Province and building a regional ecological safety barrier. [Methods] Based on four periods of land use data from 1990 to 2020, the spatial and temporal change of land use, landscape pattern and ESV in northeast Jiangxi were measured by spatial analysis and statistics within Geographic Information System(GIS)package. Meanwhile, the elasticity coefficient and Geographically and Temporally Weighted Regression(GTWR)model were respectively introduced to explore the impacts of land use and landscape pattern change on ESV. [Results](1)Woodland and cultivated land were the main land use types, and except for the increase in waters and urban area, other land use had experienced a decrease, which made regional landscape fragmented and complicated.(2)The total amount of ESV had gained an increase with woodland and waters being the main contributors to the ecosystem, accounting for over 89% of the total. The distribution and changes of ESV in various counties were mainly influenced by waters, woodland and urban area.(3)The regions with the highest elasticity coefficient(EC)(>5)were mainly located along the Poyang Lake and its water system, and around the prosperous area of each county center, while the areas with high EC(i. e., 3<EC≤5)mainly distributed around the borders of the study area,(4)The influence of the Interspersionand Juxtaposition Index(IJI)and Splitting Index(SPLIT)on ESV in each county was mainly a negative inhibition, and the influence of the Euclidean Nearest Neighbor Distance(ENN)was transitional from negative to positive while the influence of the Shannon's Diversity Index(SHDI)was generally positive and its intensity had been gradually increasing. [Conclusion] The influence intensity of the four landscape indices shows a clear spatiotemporal difference. The effect of change in land use and landscape pattern on ESV are also of spatiotemporal variability and should be treated differently in ecological and environmental protection in the study area.

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Last Update: 2024-04-30