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Analysis of Landscape Pattern Evolution and Driving Forces Based on Land-Use Changes: A Case Study of Yilong Lake Watershed on Yunnan-Guizhou Plateau

Author

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  • Guoqiang Ma

    (Southwest Investigation and Planning Institute of State Forestry and Grassland Administration, Kunming 650216, China
    College of Ecology, Lanzhou University, Lanzhou 730000, China)

  • Qiujie Li

    (Power China Kunming Engineering Corporation Limited, Kunming 650051, China)

  • Shuyu Yang

    (Southwest Investigation and Planning Institute of State Forestry and Grassland Administration, Kunming 650216, China)

  • Rong Zhang

    (Southwest Investigation and Planning Institute of State Forestry and Grassland Administration, Kunming 650216, China)

  • Lixun Zhang

    (College of Ecology, Lanzhou University, Lanzhou 730000, China)

  • Jianping Xiao

    (Southwest Investigation and Planning Institute of State Forestry and Grassland Administration, Kunming 650216, China)

  • Guojun Sun

    (College of Ecology, Lanzhou University, Lanzhou 730000, China)

Abstract

In order to explore the landscape pattern evolution and driving forces of the Yilong Lake watershed, the combined method of supervised classification with manual visual interpretation based on the landsat5TM/8OLI remote sensing image data sources was used to establish a high-precision spatial distribution information database of the Yilong Lake watershed. Landscape index was used to analyze the distribution and spatial pattern change characteristics of various land-use types. Based on correlation and principal component analysis, we discuss the relationship between the change characteristics of land-use type, distribution and spatial pattern, and the interference of local socio-economic development and natural factors. The results show that: (1) In the past 30 years, the land-use types of the Yilong Lake watershed are mainly forest, garden plot and cultivated land. The forest area decreased significantly by 30.45 km 2 , of which the fastest reduction stage was from 2000 to 2005, with a total reduction of 20.56 km 2 . The garden plot conversion is relatively large, with a total of 181.69 km 2 transferred out, of which 28.84 km 2 has become unused land, respectively. (2) In the past 30 years, the maximum patch index decreased by 9.94% and the patch density index increased by 14.25%, indicating that the landscape fragmentation in the whole basin increased. The Shannon diversity index showed an increasing process; the aggregation index showed a decreasing process. (3) The change in landscape pattern in the watershedwas closely related to economic growth, population growth, social affluence and agricultural development. Natural factors, social factors and economic indicators are significantly positively correlated with patch density, edge density, landscape shape index and Shannon diversity index, and significantly negatively correlated with the largest patch index and the contagion index. On the whole, the wetlands in the basin are shrinking and the landscape diversity is changing. Reducing the excessive impact of human activities on the watershed ecosystem is a key factor for the local protection of wetland resources and the maintenance of wetland ecological functions.

Suggested Citation

  • Guoqiang Ma & Qiujie Li & Shuyu Yang & Rong Zhang & Lixun Zhang & Jianping Xiao & Guojun Sun, 2022. "Analysis of Landscape Pattern Evolution and Driving Forces Based on Land-Use Changes: A Case Study of Yilong Lake Watershed on Yunnan-Guizhou Plateau," Land, MDPI, vol. 11(8), pages 1-13, August.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:8:p:1276-:d:883661
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    References listed on IDEAS

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    1. Xiao-Peng Song & Matthew C. Hansen & Stephen V. Stehman & Peter V. Potapov & Alexandra Tyukavina & Eric F. Vermote & John R. Townshend, 2018. "Global land change from 1982 to 2016," Nature, Nature, vol. 560(7720), pages 639-643, August.
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    3. Haoran Wang & Mengdi Zhang & Chuanying Wang & Kaiyue Wang & Chen Wang & Yang Li & Xiuling Bai & Yunkai Zhou, 2022. "Spatial and Temporal Changes of Landscape Patterns and Their Effects on Ecosystem Services in the Huaihe River Basin, China," Land, MDPI, vol. 11(4), pages 1-19, April.
    4. Fanya Qin & Katsue Fukamachi & Shozo Shibata, 2022. "Land-Use/Landscape Pattern Changes and Related Environmental Driving Forces in a Dong Ethnic Minority Village in Southwestern China," Land, MDPI, vol. 11(3), pages 1-23, February.
    5. Xiao-Peng Song & Matthew C. Hansen & Stephen V. Stehman & Peter V. Potapov & Alexandra Tyukavina & Eric F. Vermote & John R. Townshend, 2018. "Author Correction: Global land change from 1982 to 2016," Nature, Nature, vol. 563(7732), pages 26-26, November.
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    1. Peiyuan Tao & Ye Lin & Xing Wang & Jiayan Li & Chao Ma & Zhenkun Wang & Xinyue Dong & Peng Yao & Ming Shao, 2023. "Optimization of Green Spaces in Plain Urban Areas to Enhance Carbon Sequestration," Land, MDPI, vol. 12(6), pages 1-25, June.
    2. Changzheng Gao & Qisen Dang & Chu Li & Yongming Fan, 2025. "Analysis of Landscape Fragmentation Evolution Characteristics and Driving Factors in the Wei River Basin, China," Land, MDPI, vol. 14(3), pages 1-21, March.

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