IDEAS home Printed from https://ideas.repec.org/a/spr/endesu/v23y2021i5d10.1007_s10668-020-00909-5.html
   My bibliography  Save this article

Is there a regularity: the change of arable land use pattern under the influence of human activities in the Loess Plateau of China?

Author

Listed:
  • Jun Zhang

    (Shaanxi Normal University
    Xi’an University of Finance and Economics)

  • Junping Yan

    (Shaanxi Normal University)

  • Liang Xue

    (Shaanxi Normal University)

  • Yuanzhi Yao

    (International Center for Climate and Global Change Research, School of Forestry and Wildlife Sciences, Auburn University)

  • Xin Shu

    (Northeastern University)

Abstract

Conventionally, the evolutions of landscape patterns show different regularities in terms of different spatial scales. Therefore, the changes of arable land use pattern under the influence of human activities in the Loess Plateau of China also follow similar rules. To examine this assumption, we selected Per Capita Arable land Area (PCAA) as an index to indicate arable land use pattern, and Human Activity Intensity (HAI) as an index to indicate the influence of human activities. We also used land use data and demographic data at a 5-year interval from 1990 to 2015 to quantify PCAA and HAI in four different spatial scales across over the Loess Plateau region. These four scales include the whole loess Plateau region, provincial (autonomous region) scale, municipal (autonomous prefecture) scale, and county (city, district) scale. The theoretical model of arable land use pattern and the HAI calculation model were used comprehensively. We performed spatial analysis on the whole PCAA and HAI with the support of GIS geographic information technology, and conducted spatial autocorrelation analysis and Pearson’s correlation analysis. We performed analysis of factor driving on the PCAA and HAI for different land-use types at the county (city, district) scale. We found that the changes in arable land use pattern of the Loess Plateau were dominated by human activities at the whole region and provincial scales from 1990 to 2015. However, at the municipal and county scales, human activities account for 60% of the changes in land use pattern. Two interesting findings were found at the municipal and county scales: one is that with the changing rate of HAI increases, the changing rate of PCAA decreased substantially; the second is that with HAI decreases, PCAA increased significantly. Besides, the changes in arable land use pattern can be explained by the synergy effect of multiple factors of human activities. This study provides insight knowledge in understanding the drives under the change of arable land use pattern in the Loess Plateau and hopefully can provide guidance for the sustainable goal of the local and country scale planning from the management perspective.

Suggested Citation

  • Jun Zhang & Junping Yan & Liang Xue & Yuanzhi Yao & Xin Shu, 2021. "Is there a regularity: the change of arable land use pattern under the influence of human activities in the Loess Plateau of China?," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(5), pages 7156-7175, May.
  • Handle: RePEc:spr:endesu:v:23:y:2021:i:5:d:10.1007_s10668-020-00909-5
    DOI: 10.1007/s10668-020-00909-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10668-020-00909-5
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10668-020-00909-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Rutten, Martine & van Dijk, Michiel & van Rooij, Wilbert & Hilderink, Henk, 2014. "Land Use Dynamics, Climate Change, and Food Security in Vietnam: A Global-to-local Modeling Approach," World Development, Elsevier, vol. 59(C), pages 29-46.
    2. Benjamin S. Halpern & Melanie Frazier & John Potapenko & Kenneth S. Casey & Kellee Koenig & Catherine Longo & Julia Stewart Lowndes & R. Cotton Rockwood & Elizabeth R. Selig & Kimberly A. Selkoe & Sha, 2015. "Spatial and temporal changes in cumulative human impacts on the world’s ocean," Nature Communications, Nature, vol. 6(1), pages 1-7, November.
    3. Li, Shicheng & Zhang, Yili & Wang, Zhaofeng & Li, Lanhui, 2018. "Mapping human influence intensity in the Tibetan Plateau for conservation of ecological service functions," Ecosystem Services, Elsevier, vol. 30(PB), pages 276-286.
    4. Ge, Dazhuan & Long, Hualou & Zhang, Yingnan & Ma, Li & Li, Tingting, 2018. "Farmland transition and its influences on grain production in China," Land Use Policy, Elsevier, vol. 70(C), pages 94-105.
    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. Xinyue Yuan & Yang Nie & Liangen Zeng & Chao Lu & Tingzhang Yang, 2023. "Exploring the Impacts of Urbanization on Eco-Efficiency in China," Land, MDPI, vol. 12(3), pages 1-14, March.
    2. Liangen Zeng & Haitao Li & Xiao Wang & Zhao Yu & Haoyu Hu & Xinyue Yuan & Xuhai Zhao & Chengming Li & Dandan Yuan & Yukun Gao & Yang Nie & Liangzhen Huang, 2022. "China’s Transport Land: Spatiotemporal Expansion Characteristics and Driving Mechanism," Land, MDPI, vol. 11(8), pages 1-18, July.

    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. Jun Wang & Lichun Sui & Xiaomei Yang & Zhihua Wang & Dazhuan Ge & Junmei Kang & Fengshuo Yang & Yueming Liu & Bin Liu, 2019. "Economic Globalization Impacts on the Ecological Environment of Inland Developing Countries: A Case Study of Laos from the Perspective of the Land Use/Cover Change," Sustainability, MDPI, vol. 11(14), pages 1-21, July.
    2. Jiaxing Cui & Xuesong Kong & Jing Chen & Jianwei Sun & Yuanyuan Zhu, 2021. "Spatially Explicit Evaluation and Driving Factor Identification of Land Use Conflict in Yangtze River Economic Belt," Land, MDPI, vol. 10(1), pages 1-24, January.
    3. Liu, Yansui & Zhou, Yang, 2021. "Territory spatial planning and national governance system in China," Land Use Policy, Elsevier, vol. 102(C).
    4. Zhang, Yanjie & Pan, Ying & Li, Meng & Wang, Zhipeng & Wu, Junxi & Zhang, Xianzhou & Cao, Yanan, 2021. "Impacts of human appropriation of net primary production on ecosystem regulating services in Tibet," Ecosystem Services, Elsevier, vol. 47(C).
    5. Xiaowei Yao & Ting Luo & Yingjun Xu & Wanxu Chen & Jie Zeng, 2022. "Prediction of Spatiotemporal Changes in Sloping Cropland in the Middle Reaches of the Yangtze River Region under Different Scenarios," IJERPH, MDPI, vol. 20(1), pages 1-22, December.
    6. Tuyen Quang Tran & Huong Van Vu, 2021. "The impact of land fragmentation on food security in the North Central Coast, Vietnam," Asia and the Pacific Policy Studies, Wiley Blackwell, vol. 8(2), pages 327-345, May.
    7. De Pinto, Alessandro & Wiebe, Keith D. & Rosegrant, Mark W., 2016. "Climate change and agricultural policy options: A global-to-local approach," Policy briefs 978-089629-244-4, International Food Policy Research Institute (IFPRI).
    8. Xinyao Li & Lingzhi Wang & Bryan Pijanowski & Lingpeng Pan & Hichem Omrani & Anqi Liang & Yi Qu, 2022. "The Spatio-Temporal Pattern and Transition Mode of Recessive Cultivated Land Use Morphology in the Huaibei Region of the Jiangsu Province," Land, MDPI, vol. 11(11), pages 1-16, November.
    9. Tao, Jieyi & Lu, Yuqi & Ge, Dazhuan & Dong, Ping & Gong, Xiao & Ma, Xiaobin, 2022. "The spatial pattern of agricultural ecosystem services from the production-living-ecology perspective: A case study of the Huaihai Economic Zone, China," Land Use Policy, Elsevier, vol. 122(C).
    10. 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.
    11. Li, Gensheng & Hu, Zhenqi & Li, Pengyu & Yuan, Dongzhu & Wang, Wenjuan & Yang, Kun, 2021. "The optimal framework and model to balance underground coal mining and cropland protection in Jining, eastern China," Resources Policy, Elsevier, vol. 74(C).
    12. Li, Shicheng & Zhang, Heng & Zhou, Xuewu & Yu, Haibin & Li, Wangjun, 2020. "Enhancing protected areas for biodiversity and ecosystem services in the Qinghai–Tibet Plateau," Ecosystem Services, Elsevier, vol. 43(C).
    13. Ligang Lyu & Zhoubing Gao & Hualou Long & Xiaorui Wang & Yeting Fan, 2021. "Farmland Use Transition in a Typical Farming Area: The Case of Sihong County in the Huang-Huai-Hai Plain of China," Land, MDPI, vol. 10(4), pages 1-16, March.
    14. Pornsiri Cheevapattananuwong & Claudia Baldwin & Athena Lathouras & Nnenna Ike, 2020. "Social Capital in Community Organizing for Land Protection and Food Security," Land, MDPI, vol. 9(3), pages 1-19, February.
    15. Sun, Xueqing & Xiang, Pengcheng & Cong, Kexin, 2023. "Research on early warning and control measures for arable land resource security," Land Use Policy, Elsevier, vol. 128(C).
    16. Farrah Powell & Arielle Levine & Lucia Ordonez-Gauger, 2022. "Climate adaptation in the market squid fishery: fishermen responses to past variability associated with El Niño Southern Oscillation cycles inform our understanding of adaptive capacity in the face of," Climatic Change, Springer, vol. 173(1), pages 1-21, July.
    17. Yang Chen & Zhenqi Hu & Pengyu Li & Gensheng Li & Dongzhu Yuan & Jiaxin Guo, 2022. "Assessment and Effect of Mining Subsidence on Farmland in Coal–Crop Overlapped Areas: A Case of Shandong Province, China," Agriculture, MDPI, vol. 12(8), pages 1-17, August.
    18. Nguyen, Trung Thanh & Nguyen, Loc Duc & Lippe, Rattiya Suddeephong & Grote, Ulrike, 2017. "Determinants of Farmers’ Land Use Decision-Making: Comparative Evidence From Thailand and Vietnam," World Development, Elsevier, vol. 89(C), pages 199-213.
    19. Mingjie Song & Doudou Huang & Basanta Paudel, 2022. "A Supply-Demand Framework for Eco-Compensation Calculation and Allocation in China’s National Key Ecological Function Areas—A Case Study in the Yangtze River Economic Belt," Land, MDPI, vol. 12(1), pages 1-22, December.
    20. Tian, Junfeng & Wang, Binyan & Zhang, Chuanrong & Li, Weidong & Wang, Shijun, 2020. "Mechanism of regional land use transition in underdeveloped areas of China: A case study of northeast China," Land Use Policy, Elsevier, vol. 94(C).

    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:spr:endesu:v:23:y:2021:i:5:d:10.1007_s10668-020-00909-5. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.