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Quantifying Spatiotemporal Characteristics and Identifying Influential Factors of Ecosystem Fragmentation in Karst Landscapes: A Comprehensive Analytical Framework

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  • Xiaopiao Wu

    (School of Geography and Environmental Science/School of Karst Science, Guizhou Normal University, Guiyang 550001, China
    State Key Laboratory Incubation Base for Karst Mountain Ecology Environment of Guizhou Province, Guiyang 550025, China)

  • Zhongfa Zhou

    (School of Geography and Environmental Science/School of Karst Science, Guizhou Normal University, Guiyang 550001, China
    State Key Laboratory Incubation Base for Karst Mountain Ecology Environment of Guizhou Province, Guiyang 550025, China
    State Engineering Technology Institute for Karst Desertification Control, Guiyang 550001, China)

  • Meng Zhu

    (School of Geography and Environmental Science/School of Karst Science, Guizhou Normal University, Guiyang 550001, China
    State Key Laboratory Incubation Base for Karst Mountain Ecology Environment of Guizhou Province, Guiyang 550025, China)

  • Jiale Wang

    (State Key Laboratory Incubation Base for Karst Mountain Ecology Environment of Guizhou Province, Guiyang 550025, China
    State Engineering Technology Institute for Karst Desertification Control, Guiyang 550001, China)

  • Rongping Liu

    (School of Geography and Environmental Science/School of Karst Science, Guizhou Normal University, Guiyang 550001, China
    State Key Laboratory Incubation Base for Karst Mountain Ecology Environment of Guizhou Province, Guiyang 550025, China)

  • Jiajia Zheng

    (School of Geography and Environmental Science/School of Karst Science, Guizhou Normal University, Guiyang 550001, China
    State Key Laboratory Incubation Base for Karst Mountain Ecology Environment of Guizhou Province, Guiyang 550025, China)

  • Jiaxue Wan

    (State Key Laboratory Incubation Base for Karst Mountain Ecology Environment of Guizhou Province, Guiyang 550025, China
    State Engineering Technology Institute for Karst Desertification Control, Guiyang 550001, China)

Abstract

Guanling-Zhenfeng County, a microcosm of the ecologically fragile karst area in southwest China, experiences rapid population growth and urban expansion which intensifies land use transformation and ecological landscape fragmentation. Exploring the spatiotemporal characteristics of landscape fragmentation and its causes in Guanling-Zhenfeng County is of great significance in maintaining the stability of the ecosystem and ecological protection in karst areas. In this study, a comprehensive landscape fragmentation index (FI), geographic probe, multi-scale geographically weighted regression (MGWR), and PLUS model were used to quantitatively explore the spatiotemporal characteristic heterogeneity, causes, and future scenario projections of landscape fragmentation in Guanling-Zhenfeng County from 2000 to 2020. The results showed that: (1) the distribution of each landscape index was characterized by obvious spatial differentiation. Among them, the spatial distribution trends of patch density (PD) and largest patch index (LPI) were opposite and the distribution trends of Shannon diversity index (SHDI) and Shannon evenness index (SHEI) were similar. There were fewer heterogeneous patches in the study area from 2000 to 2020, and the landscape shape was more regular and less fragmented. (2) The overall landscape fragmentation in Guanling-Zhenfeng County from 2000 to 2020 was dominated by moderate fragmentation, with the smallest percentage of extreme fragmentation, and heavy fragmentation was mainly distributed in the north-central part of the study area. (3) Natural and social factors jointly affect the landscape fragmentation in Guanling-Zhenfeng County, and there is a significant interactive enhancement effect among the factors, with population density being the most important influence factor. In addition, the effects of the factors on landscape fragmentation showed significant spatial non-stationarity. (4) The characteristics of landscape fragmentation changes in Guanling-Zhenfeng County under different scenarios varied significantly, with the largest percentage of increase in heavy landscape fragmentation under the business-as-usual scenario (BAU), the next under the land use planning scenario (LUP), and the smallest under the ecological protection scenario (ESP).

Suggested Citation

  • Xiaopiao Wu & Zhongfa Zhou & Meng Zhu & Jiale Wang & Rongping Liu & Jiajia Zheng & Jiaxue Wan, 2024. "Quantifying Spatiotemporal Characteristics and Identifying Influential Factors of Ecosystem Fragmentation in Karst Landscapes: A Comprehensive Analytical Framework," Land, MDPI, vol. 13(3), pages 1-18, February.
    • Handle: RePEc:gam:jlands:v:13:y:2024:i:3:p:278-:d:1344850
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    References listed on IDEAS

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    1. Claudia Canedoli & Francesco Crocco & Roberto Comolli & Emilio Padoa-Schioppa, 2018. "Landscape fragmentation and urban sprawl in the urban region of Milan," Landscape Research, Taylor & Francis Journals, vol. 43(5), pages 632-651, July.
    2. Yue Li & Huacai Geng, 2022. "Evolution of Land Use Landscape Patterns in Karst Watersheds of Guizhou Plateau and Its Ecological Security Evaluation," Land, MDPI, vol. 11(12), pages 1-17, December.
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