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Analysis Long-Term and Spatial Changes of Forest Cover in Typical Karst Areas of China

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Listed:
  • Fei Chen

    (College of Resources and Environmental Engineering, Guizhou University, Guiyang 550025, China
    State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang 550081, China
    CAS Center for Excellence in Quaternary Science and Global Change, Xi’an 710061, China)

  • Xiaoyong Bai

    (State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang 550081, China
    CAS Center for Excellence in Quaternary Science and Global Change, Xi’an 710061, China)

  • Fang Liu

    (College of Resources and Environmental Engineering, Guizhou University, Guiyang 550025, China)

  • Guangjie Luo

    (Guizhou Provincial Key Laboratory of Geographic State Monitoring of Watershed, Guizhou Education University, Guiyang 550018, China)

  • Yichao Tian

    (College of Resources and Environmental, Beibu Gulf University, Qinzhou 535011, China)

  • Luoyi Qin

    (State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang 550081, China)

  • Yue Li

    (College of Public Management, GuiZhou University of Finance and Economics, Guiyang 550025, China)

  • Yan Xu

    (State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang 550081, China)

  • Jinfeng Wang

    (College of Resources and Environmental Engineering, Guizhou University, Guiyang 550025, China
    State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang 550081, China
    CAS Center for Excellence in Quaternary Science and Global Change, Xi’an 710061, China)

  • Luhua Wu

    (State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang 550081, China
    CAS Center for Excellence in Quaternary Science and Global Change, Xi’an 710061, China)

  • Chaojun Li

    (State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang 550081, China
    CAS Center for Excellence in Quaternary Science and Global Change, Xi’an 710061, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Sirui Zhang

    (State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang 550081, China
    CAS Center for Excellence in Quaternary Science and Global Change, Xi’an 710061, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

  • Chen Ran

    (State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang 550081, China
    CAS Center for Excellence in Quaternary Science and Global Change, Xi’an 710061, China
    University of Chinese Academy of Sciences, Beijing 100049, China)

Abstract

In recent decades, China has exhibited the fastest and most remarkable social-economic development in the world. As a result of such development, the forest cover of the country has undergone radical changes. This paper aims to develop a method for analyzing long-term and spatial changes in forest cover based on historical maps and remote sensing images. Moreover, we will focus on the reduction or restoration of forests distributed at different altitudes, slopes, soils, and lithologic types in different periods, to reveal the problems that should be paid attention to in forest restoration in karst areas. A typical county of China was selected as the study area. A historical military operation map was considered the principal source of basic data. These data were then combined with Landsat satellite images to conduct quantitative analysis on changes in the spatial area and location of forest cover with a long time series. The findings are as follows: in terms of time series, the forest area in the study area showed a trend of decreasing at first and then increasing, with the year 1986 as the turning point. In terms of spatial patterns, a considerable difference is observed in regions with changes in forest cover under different historical periods. Changes are obvious in limestone areas, rock soil areas, and areas with an elevation of 2000–2500 m and a slope gradient of 6°–15°. Spatial–temporal changes in forest cover reflect the effects of the war, national policy, and economic development to some extent. All these results indicate that, despite its limitations, a historical map is a valuable document for studying an ecological environment.

Suggested Citation

  • Fei Chen & Xiaoyong Bai & Fang Liu & Guangjie Luo & Yichao Tian & Luoyi Qin & Yue Li & Yan Xu & Jinfeng Wang & Luhua Wu & Chaojun Li & Sirui Zhang & Chen Ran, 2022. "Analysis Long-Term and Spatial Changes of Forest Cover in Typical Karst Areas of China," Land, MDPI, vol. 11(8), pages 1-20, August.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:8:p:1349-:d:891933
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    References listed on IDEAS

    as
    1. Lin Zhang & Zhe Liu & Diyou Liu & Quan Xiong & Ning Yang & Tianwei Ren & Chao Zhang & Xiaodong Zhang & Shaoming Li, 2019. "Crop Mapping Based on Historical Samples and New Training Samples Generation in Heilongjiang Province, China," Sustainability, MDPI, vol. 11(18), pages 1-17, September.
    2. Lieskovský, Juraj & Kaim, Dominik & Balázs, Pál & Boltižiar, Martin & Chmiel, Mateusz & Grabska, Ewa & Király, Géza & Konkoly-Gyuró, Éva & Kozak, Jacek & Antalová, Katarína & Kuchma, Tetyana & Mackovč, 2018. "Historical land use dataset of the Carpathian region (1819-1980)," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 14(2), pages 644-651.
    3. Juraj Lieskovský & Dominik Kaim & Pál Balázs & Martin Boltižiar & Mateusz Chmiel & Ewa Grabska & Géza Király & Éva Konkoly-Gyuró & Jacek Kozak & Katarína Antalová & Tetyana Kuchma & Peter Mackovčin & , 2018. "Historical land use dataset of the Carpathian region (1819–1980)," Journal of Maps, Taylor & Francis Journals, vol. 14(2), pages 644-651, November.
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    Cited by:

    1. Yaopeng Sun & Zhongfa Zhou & Denghong Huang & Quan Chen & Min Fang, 2022. "The Spatial and Temporal Evolution Pattern and Transformation of Urban–Rural Construction Land in Karst Mountainous Areas: Qixingguan District of Guizhou, Southwest China," Land, MDPI, vol. 11(10), pages 1-18, October.
    2. Li Wu & Jing Zhou & Binggeng Xie, 2023. "Comparative Analysis of Temporal-Spatial Variation on Mountain-Flatland Landscape Pattern in Karst Mountainous Areas of Southwest China: A Case Study of Yuxi City," Land, MDPI, vol. 12(2), pages 1-17, February.
    3. Yangyang Wu & Jinli Yang & Siliang Li & Chunzi Guo & Xiaodong Yang & Yue Xu & Fujun Yue & Haijun Peng & Yinchuan Chen & Lei Gu & Zhenghua Shi & Guangjie Luo, 2023. "NDVI-Based Vegetation Dynamics and Their Responses to Climate Change and Human Activities from 2000 to 2020 in Miaoling Karst Mountain Area, SW China," Land, MDPI, vol. 12(7), pages 1-24, June.
    4. 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.
    5. George-Adrian Istrate & Vasilică Istrate & Adrian Ursu & Pavel Ichim & Iuliana-Gabriela Breabăn, 2023. "Using Diachronic Cartography and GIS to Map Forest Landscape Changes in the Putna-Vrancea Natural Park, Romania," Land, MDPI, vol. 12(9), pages 1-21, September.

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