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Analysis of Landscape Change and Its Driving Mechanism in Chagan Lake National Nature Reserve

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  • Zhaoyang Li

    (Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun 130012, China
    Key Laboratory of Water Resources and Water Environment, Jilin University, Changchun 130012, China
    College of New Energy and Environment, Jilin University, Changchun 130012, China)

  • Zelin Jiang

    (Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun 130012, China
    Key Laboratory of Water Resources and Water Environment, Jilin University, Changchun 130012, China
    College of New Energy and Environment, Jilin University, Changchun 130012, China)

  • Yunke Qu

    (Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun 130012, China
    Key Laboratory of Water Resources and Water Environment, Jilin University, Changchun 130012, China
    College of New Energy and Environment, Jilin University, Changchun 130012, China)

  • Yidan Cao

    (Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun 130012, China
    Key Laboratory of Water Resources and Water Environment, Jilin University, Changchun 130012, China
    College of New Energy and Environment, Jilin University, Changchun 130012, China)

  • Feihu Sun

    (Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun 130012, China
    Key Laboratory of Water Resources and Water Environment, Jilin University, Changchun 130012, China
    College of New Energy and Environment, Jilin University, Changchun 130012, China)

  • Yindong Dai

    (Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun 130012, China
    Key Laboratory of Water Resources and Water Environment, Jilin University, Changchun 130012, China
    College of New Energy and Environment, Jilin University, Changchun 130012, China)

Abstract

Lake ecosystems play an important role in regional ecological security and the sustainable development of the economy and society. In order to study the evolution of landscape patterns and the main driving forces in the Chagan Lake Nature Reserve in recent years, we used landscape type data from 2005, 2010, 2015, and 2019 to study the characteristics of the regional landscape’s structural changes. At the same time, the spatial heterogeneity of the driving factors of landscape change was analyzed using the spatial analysis method, and the driving mechanism of landscape change was quantitatively analyzed. The results showed that: (1) from 2005 to 2019, the area of cultivated land, marshland, and water bodies increased, while the area of grassland and the area of bare land decreased. (2) The dominant patch types in the study area formed good connectivity, and the degree of landscape fragmentation increased. (3) In the past 15 years, there has been spatial heterogeneity in the regression coefficients of different driving factors of landscape change: the area with a greater influence of the elevation factor was in the south; the regression coefficient of precipitation showed the spatial distribution characteristics of highs in the west and lows in the east; the gross domestic product had a greater impact on the east and the south; the spatial variation of grain yield was mainly reflected in the southeast and northwest regions; the fishery yield gradually changed from high in the southeast and low in the northwest to the distribution characteristic of decreasing from the east to the southwest; the lake fluorine content showed a distribution pattern that gradually changed from high in the southeast and low in the northwest to high in the middle and low in the north and south; the distribution pattern of the distance to oil production changed from north to southeast to south to north; the distance to the road changed from high in the east and low in the west to the opposite spatial distribution pattern. (4) The interaction of precipitation and lake fluoride content with other factors showed a strong driving effect, which had a significant impact on the landscape change of Chagan Lake Nature Reserve. Since the study area is located in a typical fluorine-rich geochemical environment, human activities, such as the expansion of irrigation areas around Chagan Lake and groundwater exploitation, have accelerated the dissolution of fluorine-containing minerals, promoted the enrichment process of fluorine in Chagan Lake, and enhanced the explanatory power of lake fluorine content in terms of landscape changes. At the same time, the increase in precipitation during the study period is beneficial to the growth of vegetation and the storage of water in lakes, which promotes changes in landscape types such as grasslands and areas of water.

Suggested Citation

  • Zhaoyang Li & Zelin Jiang & Yunke Qu & Yidan Cao & Feihu Sun & Yindong Dai, 2022. "Analysis of Landscape Change and Its Driving Mechanism in Chagan Lake National Nature Reserve," Sustainability, MDPI, vol. 14(9), pages 1-23, May.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:9:p:5675-:d:810886
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    References listed on IDEAS

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    1. Eshetu Shifaw & Jinming Sha & Xiaomei Li, 2020. "Detection of spatiotemporal dynamics of land cover and its drivers using remote sensing and landscape metrics (Pingtan Island, China)," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 22(2), pages 1269-1298, February.
    2. Lin Chu & Tiancheng Sun & Tianwei Wang & Zhaoxia Li & Chongfa Cai, 2018. "Evolution and Prediction of Landscape Pattern and Habitat Quality Based on CA-Markov and InVEST Model in Hubei Section of Three Gorges Reservoir Area (TGRA)," Sustainability, MDPI, vol. 10(11), pages 1-28, October.
    3. Yang, Xin & Zheng, Xin-Qi & Lv, Li-Na, 2012. "A spatiotemporal model of land use change based on ant colony optimization, Markov chain and cellular automata," Ecological Modelling, Elsevier, vol. 233(C), pages 11-19.
    4. Fengyan Wang & Qing Ding & Lei Zhang & Mingchang Wang & Qing Wang, 2019. "Analysis of Land Surface Deformation in Chagan Lake Region Using TCPInSAR," Sustainability, MDPI, vol. 11(18), pages 1-20, September.
    5. Meijia Xiao & Qingwen Zhang & Liqin Qu & Hafiz Athar Hussain & Yuequn Dong & Li Zheng, 2019. "Spatiotemporal Changes and the Driving Forces of Sloping Farmland Areas in the Sichuan Region," Sustainability, MDPI, vol. 11(3), pages 1-16, February.
    6. Chengjie Yang & Ruren Li & Zongyao Sha, 2020. "Exploring the Dynamics of Urban Greenness Space and Their Driving Factors Using Geographically Weighted Regression: A Case Study in Wuhan Metropolis, China," Land, MDPI, vol. 9(12), pages 1-21, December.
    7. A. Stewart Fotheringham & Taylor M. Oshan, 2016. "Geographically weighted regression and multicollinearity: dispelling the myth," Journal of Geographical Systems, Springer, vol. 18(4), pages 303-329, October.
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