IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v11y2022i9p1563-d914591.html
   My bibliography  Save this article

Spatiotemporal Dynamics of Land Cover and Their Driving Forces in the Yellow River Basin since 1990

Author

Listed:
  • Shirui Zhao

    (State Key Laboratory of Resources and Environment Information System, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

  • Zemeng Fan

    (State Key Laboratory of Resources and Environment Information System, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China
    Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China)

  • Xing Gao

    (State Key Laboratory of Resources and Environment Information System, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China
    College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China)

Abstract

The national strategy for ecological protection and high-quality development is raising the ecological security protection to an unprecedented level in the Yellow River Basin (YRB) of China. Due to the explicitly analyzed land cover changes under climate change and rapid urbanization in the YRB area since 1990, land cover dynamic degree index, transfer matrix, and geo-detector method were used to explicate land cover changes and their key driving factors, based on the spatial data of land cover from 1990 to 2020. The results show that grasslands, croplands, and forests are the main land cover types, accounting for 48.37%, 25.05%, and 13.50%, respectively, of the total area in the YRB area. Grassland, cropland, and cropland are the major land cover type, accounting for 61.49%, 37.13%, and 66.33%, respectively, in the upstream, midstream, and downstream of the YRB area. Built-up land has showed a continual increasing trend, and its dynamic degree was up to 3.38% between 2010 and 2020. Population density was a key factor for land cover change, with an average contribution rate of 0.264; then, elevation and temperature also expressed an important role to drive the land cover change in the YRB area during the period from 1990 to 2020.

Suggested Citation

  • Shirui Zhao & Zemeng Fan & Xing Gao, 2022. "Spatiotemporal Dynamics of Land Cover and Their Driving Forces in the Yellow River Basin since 1990," Land, MDPI, vol. 11(9), pages 1-14, September.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:9:p:1563-:d:914591
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/11/9/1563/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/11/9/1563/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Eugenia Kalnay & Ming Cai, 2003. "Impact of urbanization and land-use change on climate," Nature, Nature, vol. 423(6939), pages 528-531, May.
    2. Xue Zhou & Yang Zhou, 2021. "Spatio-Temporal Variation and Driving Forces of Land-Use Change from 1980 to 2020 in Loess Plateau of Northern Shaanxi, China," Land, MDPI, vol. 10(9), pages 1-17, September.
    3. Batara Surya & Despry Nur Annisa Ahmad & Harry Hardian Sakti & Hernita Sahban, 2020. "Land Use Change, Spatial Interaction, and Sustainable Development in the Metropolitan Urban Areas, South Sulawesi Province, Indonesia," Land, MDPI, vol. 9(3), pages 1-43, March.
    4. Zhou, Yang & Li, Xunhuan & Liu, Yansui, 2020. "Land use change and driving factors in rural China during the period 1995-2015," Land Use Policy, Elsevier, vol. 99(C).
    5. Bhagawat Rimal & Himlal Baral & Nigel E. Stork & Kiran Paudyal & Sushila Rijal, 2015. "Growing City and Rapid Land Use Transition: Assessing Multiple Hazards and Risks in the Pokhara Valley, Nepal," Land, MDPI, vol. 4(4), pages 1-22, October.
    6. Meijing Chen & Zhongke Bai & Qingri Wang & Zeyu Shi, 2021. "Habitat Quality Effect and Driving Mechanism of Land Use Transitions: A Case Study of Henan Water Source Area of the Middle Route of the South-to-North Water Transfer Project," Land, MDPI, vol. 10(8), pages 1-20, July.
    7. Qing Liu & Dongdong Yang & Lei Cao & Bruce Anderson, 2022. "Assessment and Prediction of Carbon Storage Based on Land Use/Land Cover Dynamics in the Tropics: A Case Study of Hainan Island, China," Land, MDPI, vol. 11(2), pages 1-24, February.
    8. Thi-Thu Vu & Yuan Shen, 2021. "Land-Use and Land-Cover Changes in Dong Trieu District, Vietnam, during Past Two Decades and Their Driving Forces," Land, MDPI, vol. 10(8), pages 1-13, July.
    9. Xu Zhang & Chunjuan Lyu & Xiang Fan & Rutian Bi & Lu Xia & Caicai Xu & Bo Sun & Tao Li & Chenggang Jiang, 2022. "Spatiotemporal Variation and Influence Factors of Habitat Quality in Loess Hilly and Gully Area of Yellow River Basin: A Case Study of Liulin County, China," Land, MDPI, vol. 11(1), pages 1-17, January.
    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. Zheng, Liang & Wang, Ying & Li, Jiangfeng, 2023. "Quantifying the spatial impact of landscape fragmentation on habitat quality: A multi-temporal dimensional comparison between the Yangtze River Economic Belt and Yellow River Basin of China," Land Use Policy, Elsevier, vol. 125(C).
    2. Carlos Rosero & Xosé Otero & Cinthya Bravo & Catherine Frey, 2023. "Multitemporal Incidence of Landscape Fragmentation in a Protected Area of Central Andean Ecuador," Land, MDPI, vol. 12(2), pages 1-21, February.

    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. Xue Zhou & Yang Zhou, 2021. "Spatio-Temporal Variation and Driving Forces of Land-Use Change from 1980 to 2020 in Loess Plateau of Northern Shaanxi, China," Land, MDPI, vol. 10(9), pages 1-17, September.
    2. Thi Thu Vu & Yuan Shen & Hung-Yu Lai, 2022. "Strategies to Mitigate the Deteriorating Habitat Quality in Dong Trieu District, Vietnam," Land, MDPI, vol. 11(2), pages 1-17, February.
    3. Guoyi Cui & Yan Zhang & Feihang Shi & Wenxia Jia & Bohua Pan & Changkun Han & Zhengze Liu & Min Li & Haohao Zhou, 2022. "Study of Spatiotemporal Changes and Driving Factors of Habitat Quality: A Case Study of the Agro-Pastoral Ecotone in Northern Shaanxi, China," Sustainability, MDPI, vol. 14(9), pages 1-23, April.
    4. Feng Xu & Guangqing Chi & Yongheng Rao & Jianjun Zhang, 2022. "Editorial for Special Issue “Land Use Change and Anthropogenic Disturbances: Relationships, Interactions, and Management”," Land, MDPI, vol. 11(9), pages 1-6, September.
    5. Yiming Wei & Hongwei Wang & Mengqi Xue & Yucong Yin & Tiantian Qian & Fangrui Yu, 2022. "Spatial and Temporal Evolution of Land Use and the Response of Habitat Quality in Wusu, China," IJERPH, MDPI, vol. 20(1), pages 1-21, December.
    6. Xiaoqing Lin & Chunyan Lu & Kaishan Song & Ying Su & Yifan Lei & Lianxiu Zhong & Yibin Gao, 2020. "Analysis of Coupling Coordination Variance between Urbanization Quality and Eco-Environment Pressure: A Case Study of the West Taiwan Strait Urban Agglomeration, China," Sustainability, MDPI, vol. 12(7), pages 1-19, March.
    7. Yang, Yuanyuan & Bao, Wenkai & Liu, Yansui, 2020. "Scenario simulation of land system change in the Beijing-Tianjin-Hebei region," Land Use Policy, Elsevier, vol. 96(C).
    8. Weijia Chen & Yongquan Lu & Guilin Liu, 2022. "Balancing cropland gain and desert vegetation loss: The key to rural revitalization in Xinjiang, China," Growth and Change, Wiley Blackwell, vol. 53(3), pages 1122-1145, September.
    9. Juan Li & Xunzhou Chunyu & Feng Huang, 2022. "Land Use Pattern Changes and the Driving Forces in the Shiyang River Basin from 2000 to 2018," Sustainability, MDPI, vol. 15(1), pages 1-27, December.
    10. Changchun Feng & Hao Zhang & Liang Xiao & Yongpei Guo, 2022. "Land Use Change and Its Driving Factors in the Rural–Urban Fringe of Beijing: A Production–Living–Ecological Perspective," Land, MDPI, vol. 11(2), pages 1-18, February.
    11. Ahmed, Khalid, 2015. "The sheer scale of China’s urban renewal and CO2 emissions: Multiple structural breaks, long-run relationship and short-run dynamics," MPRA Paper 71035, University Library of Munich, Germany.
    12. Anne A. Gharaibeh & Esra’a M. Al.Zu’bi & Lama B. Abuhassan, 2019. "Amman ( City of Waters ); Policy, Land Use, and Character Changes," Land, MDPI, vol. 8(12), pages 1-25, December.
    13. Isaac Sarfo & Bi Shuoben & Li Beibei & Solomon Obiri Yeboah Amankwah & Emmanuel Yeboah & John Ernest Koku & Edward Kweku Nunoo & Clement Kwang, 2022. "Spatiotemporal development of land use systems, influences and climate variability in Southwestern Ghana (1970–2020)," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(8), pages 9851-9883, August.
    14. Wancong Li & Hong Li & Shijun Wang & Zhiqiang Feng, 2022. "Spatiotemporal Evolution of County-Level Land Use Structure in the Context of Urban Shrinkage: Evidence from Northeast China," Land, MDPI, vol. 11(10), pages 1-19, October.
    15. Liu, Yansui & Zhou, Yang, 2021. "Territory spatial planning and national governance system in China," Land Use Policy, Elsevier, vol. 102(C).
    16. Han Huang & Yang Zhou & Mingjie Qian & Zhaoqi Zeng, 2021. "Land Use Transition and Driving Forces in Chinese Loess Plateau: A Case Study from Pu County, Shanxi Province," Land, MDPI, vol. 10(1), pages 1-15, January.
    17. Tian, Guangjin & Jiang, Jing & Yang, Zhifeng & Zhang, Yaoqi, 2011. "The urban growth, size distribution and spatio-temporal dynamic pattern of the Yangtze River Delta megalopolitan region, China," Ecological Modelling, Elsevier, vol. 222(3), pages 865-878.
    18. Camacho, Carmen & Pérez-Barahona, Agustín, 2015. "Land use dynamics and the environment," Journal of Economic Dynamics and Control, Elsevier, vol. 52(C), pages 96-118.
    19. Yali Zhong & Shuqing Chen & Haihua Mo & Weiwen Wang & Pengfei Yu & Xuemei Wang & Nima Chuduo & Bian Ba, 2022. "Contribution of urban expansion to surface warming in high-altitude cities of the Tibetan Plateau," Climatic Change, Springer, vol. 175(1), pages 1-22, November.
    20. Lina Eklund & Abdulhakim Abdi & Mine Islar, 2017. "From Producers to Consumers: The Challenges and Opportunities of Agricultural Development in Iraqi Kurdistan," Land, MDPI, vol. 6(2), pages 1-14, June.

    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:9:p:1563-:d:914591. 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.