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Landscape Pattern Changes in the Xingkai Lake Area, Northeast China

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  • Xiaohui Liu

    (Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology (IGA), Chinese Academy of Sciences, Changchun 130102, China)

  • Yuan Zhang

    (Key Laboratory of Geographic Information Science (Ministry of Education), School of Geographic Sciences, East China Normal University, Shanghai 200241, China)

  • Guihua Dong

    (China National Environmental Monitoring Center (CNEMC), Beijing 100012, China)

  • Guanglei Hou

    (Northeast Institute of Geography and Agroecology (IGA), Chinese Academy of Sciences, Changchun 130102, China)

  • Ming Jiang

    (Key Laboratory of Wetland Ecology and Environment, Northeast Institute of Geography and Agroecology (IGA), Chinese Academy of Sciences, Changchun 130102, China
    Jillin Provincial Joint Laboratory of Changbai Mountain Wetland and Ecology, Northeast Institute of Geography and Agroecology (IGA), Chinese Academy of Sciences, Changchun 130102, China)

Abstract

Understanding landscape change is important for ecologically sustainable development. In this paper, we assessed the spatiotemporal variations of landscape pattern in the Xingkai Lake area using remote sensing data from 1982, 1995, 2000, 2005, 2010, and 2015. Landscape patterns of marshlands, paddy fields, dry farmlands, and their combinations were analyzed at class and landscape levels. We examined the stability of landscape types through principal component analysis based on class level indices for landscape types. The results indicated that marshland areas decreased significantly by 33.87% but paddy fields increased by 1.84 times from 1982 to 2015. The largest conversion of dry farmlands to paddy fields was 90.88 km 2 during the period 2010–2015. In contrast, the largest conversion of paddy fields to dry farmlands was 86.03 km 2 during the period 2000–2005. The difference in relative change revealed that dry farmlands had experienced a greater relative change than paddy fields since 2000. The interspersion and juxtaposition index decreased, while the number of patches grew. This showed that landscape fragmentation was increasing and the landscape pattern was becoming dispersed. Marshlands were more stable than paddy fields and dry farmlands across all time periods, except for the year 2005.

Suggested Citation

  • Xiaohui Liu & Yuan Zhang & Guihua Dong & Guanglei Hou & Ming Jiang, 2019. "Landscape Pattern Changes in the Xingkai Lake Area, Northeast China," IJERPH, MDPI, vol. 16(20), pages 1-12, October.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:20:p:3820-:d:274909
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    References listed on IDEAS

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    Cited by:

    1. Manuele Bettoni & Michael Maerker & Alberto Bosino & Calogero Schillaci & Sebastian Vogel, 2022. "Bibliometric Analysis of Soil and Landscape Stability, Sensitivity and Resistivity," Land, MDPI, vol. 11(8), pages 1-27, August.
    2. Dehua Li & Linghua Duo & Chenhao Bao & Xiaoping Zhang & Zili Zou, 2024. "Spatiotemporal Distribution and Fragmentation Driving Mechanism in Paddy Fields and Dryland of Urban Agglomeration in the Middle Reaches of the Yangtze River," Land, MDPI, vol. 13(1), pages 1-24, January.
    3. Qingjian Zhao & Zuomin Wen & Shulin Chen & Sheng Ding & Minxin Zhang, 2019. "Quantifying Land Use/Land Cover and Landscape Pattern Changes and Impacts on Ecosystem Services," IJERPH, MDPI, vol. 17(1), pages 1-21, December.

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