IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v11y2022i8p1349-d891933.html
   My bibliography  Save this article

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

Author

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/11/8/1349/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/11/8/1349/
    Download Restriction: no
    ---><---

    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. 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.
    3. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    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. Heidarlou, Hadi Beygi & Mirshekarlou, Asma Karamat & Lopez-Carr, David & Borz, Stelian Alexandru, 2024. "Conservation policy and forest transition in Zagros forests: Statistical analysis of human welfare, biophysical, and climate drivers," Forest Policy and Economics, Elsevier, vol. 161(C).
    5. 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.
    6. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yang, Xuhong & Jin, Xiaobin & Xue, Qiaofeng & Zhou, Yinkang, 2022. "Reconstruction of the spatial distribution of historical farmland in the Taiwan Province of China for 1659–1945," Land Use Policy, Elsevier, vol. 114(C).
    2. Michaela Žoncová & Pavel Hronček & Bohuslava Gregorová, 2020. "Mapping of the Land Cover Changes in High Mountains of Western Carpathians between 1990–2018: Case Study of the Low Tatras National Park (Slovakia)," Land, MDPI, vol. 9(12), pages 1-20, December.
    3. Bacior, Stanisław, 2023. "Austrian Cadastre still in use – Example proceedings to determine the legal status of land property in southern Poland," Land Use Policy, Elsevier, vol. 131(C).
    4. Pavel Hronček & Bohuslava Gregorová & Dana Tometzová & Mário Molokáč & Ladislav Hvizdák, 2020. "Modeling of Vanished Historic Mining Landscape Features as a Part of Digital Cultural Heritage and Possibilities of Its Use in Mining Tourism (Case Study: Gelnica Town, Slovakia)," Resources, MDPI, vol. 9(4), pages 1-16, April.
    5. Juraj Lieskovský & Dana Lieskovská, 2021. "Cropland Abandonment in Slovakia: Analysis and Comparison of Different Data Sources," Land, MDPI, vol. 10(4), pages 1-15, March.
    6. Jana Vojteková & Matej Vojtek & Anna Tirpáková & Ivona Vlkolinská, 2019. "Spatial Analysis of Pottery Presence at the Former Pobedim Hillfort (an Archeological Site in Slovakia)," Sustainability, MDPI, vol. 11(23), pages 1-17, December.
    7. Chunyang Wang & Huan Zhang & Xifang Wu & Wei Yang & Yanjun Shen & Bibo Lu & Jianlong Wang, 2022. "AUTS: A Novel Approach to Mapping Winter Wheat by Automatically Updating Training Samples Based on NDVI Time Series," Agriculture, MDPI, vol. 12(6), pages 1-16, June.
    8. Wenjie Zhang & Liang Zhu & Qifeng Zhuang & Dong Chen & Tao Sun, 2023. "Mapping Cropland Soil Nutrients Contents Based on Multi-Spectral Remote Sensing and Machine Learning," Agriculture, MDPI, vol. 13(8), pages 1-19, August.
    9. Xinlei Hu & Zuliang Zhao & Lin Zhang & Zhe Liu & Shaoming Li & Xiaodong Zhang, 2019. "A High-Temperature Risk Assessment Model for Maize Based on MODIS LST," Sustainability, MDPI, vol. 11(23), pages 1-15, November.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:11:y:2022:i:8:p:1349-:d:891933. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.