IDEAS home Printed from https://ideas.repec.org/a/sae/envira/v54y2022i2p222-225.html
   My bibliography  Save this article

Visualizing clustering characteristics of multidimensional arable land quality indexes at the county level in mainland China

Author

Listed:
  • Sijing Ye
  • Changqing Song
  • Peichao Gao

    (State Key Laboratory of Earth Surface Processes and Resource Ecology, 47836Beijing Normal University, China
    Faculty of Geographical Science, 47836Beijing Normal University, China)

  • Chenyu Liu

    (Faculty of Geographical Science, 47836Beijing Normal University, China)

  • Changxiu Cheng

    (State Key Laboratory of Earth Surface Processes and Resource Ecology, 47836Beijing Normal University, China;
    Faculty of Geographical Science, 47836Beijing Normal University, China;
    National Tibetan Plateau Data Center, China)

Abstract

The evaluation of the arable land ecosystem services capacity and arable land use intensity is important for recognizing regional key factors that impact the change of arable land attributes. A chronic lack of cooperation persists between these two fields of study, which makes providing sufficient information to support developing arable land use management and control policies difficult. In this study, the clustering characteristics of four arable land quality indexes have been assessed using the K-means algorithm to indicate the regional coordination between arable land resource protection and arable land use. The clustering results have been visualized using circular cartogram. This study can contribute to the identification of key regional challenges in China's arable land use and help to build the framework of other countries’ arable land protection policies.

Suggested Citation

  • Sijing Ye & Changqing Song & Peichao Gao & Chenyu Liu & Changxiu Cheng, 2022. "Visualizing clustering characteristics of multidimensional arable land quality indexes at the county level in mainland China," Environment and Planning A, , vol. 54(2), pages 222-225, March.
    • Handle: RePEc:sae:envira:v:54:y:2022:i:2:p:222-225
    DOI: 10.1177/0308518X211062232
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/0308518X211062232
    Download Restriction: no
    File URL: https://libkey.io/10.1177/0308518X211062232?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
    ---><---

    References listed on IDEAS

    as
    1. Ye, Sijing & Song, Changqing & Shen, Shi & Gao, Peichao & Cheng, Changxiu & Cheng, Feng & Wan, Changjun & Zhu, Dehai, 2020. "Spatial pattern of arable land-use intensity in China," Land Use Policy, Elsevier, vol. 99(C).
    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. Ye, Sijing & Ren, Shuyi & Song, Changqing & Du, Zhenbo & Wang, Kuangxu & Du, Bin & Cheng, Feng & Zhu, Dehai, 2024. "Spatial pattern of cultivated land fragmentation in mainland China: Characteristics, dominant factors, and countermeasures," Land Use Policy, Elsevier, vol. 139(C).
    2. Sijing Ye & Changqing Song & Yakov Kuzyakov & Feng Cheng & Xiangbin Kong & Zhe Feng & Peichao Gao, 2024. "Arable Land Quality in Developing China: An Integrated Exploration from Global Challenges to Localized Solutions," Land, MDPI, vol. 13(3), pages 1-9, March.
    3. Liu, Chenyu & Song, Changqing & Ye, Sijing & Cheng, Feng & Zhang, Leina & Li, Chao, 2023. "Estimate provincial-level effectiveness of the arable land requisition-compensation balance policy in mainland China in the last 20 years," Land Use Policy, Elsevier, vol. 131(C).
    4. Ting Du & Chao Li & Zhaolin Wang, 2023. "Spatial Differentiation and Influencing Mechanisms of Farmland Transfer Rents in Mountainous Areas: Evidence from Chongqing and Its Surrounding Areas," Land, MDPI, vol. 12(3), pages 1-19, March.
    5. Xin Yan & Yuejian Wang & Yuejiao Chen & Guang Yang & Baofei Xia & Hailiang Xu, 2022. "Study on the Spatial Allocation of Receding Land and Water Reduction under Water Resource Constraints in Arid Zones," Agriculture, MDPI, vol. 12(7), pages 1-18, June.
    6. Xiaoyang Han & Sijing Ye & Shuyi Ren & Changqing Song, 2023. "Using the DTFM Method to Analyse the Degradation Process of Bilateral Trade Relations between China and Australia," Sustainability, MDPI, vol. 15(9), pages 1-22, April.
    7. Han Liu & Yu Wang & Lingling Sang & Caisheng Zhao & Tengyun Hu & Hongtao Liu & Zheng Zhang & Shuyu Wang & Shuangxi Miao & Zhengshan Ju, 2023. "Evaluation of Spatiotemporal Changes in Cropland Quantity and Quality with Multi-Source Remote Sensing," Land, MDPI, vol. 12(9), pages 1-22, September.
    8. Sijing Ye & Changqing Song & Yakov Kuzyakov & Feng Cheng & Xiangbin Kong & Zhe Feng & Peichao Gao, 2022. "Preface: Arable Land Quality: Observation, Estimation, Optimization, and Application," Land, MDPI, vol. 11(6), pages 1-5, June.

    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. Li, Shuoshuo & Liu, Yaobin & Wei, Guoen & Bi, Mo & He, Bao-Jie, 2024. "Carbon surplus or carbon deficit under land use transformation in China?," Land Use Policy, Elsevier, vol. 143(C).
    2. 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).
    3. Li, Xiaoliang & Wu, Kening & Yang, Qijun & Hao, Shiheng & Feng, Zhe & Ma, Jinliang, 2023. "Quantitative assessment of cultivated land use intensity in Heilongjiang Province, China, 2001–2015," Land Use Policy, Elsevier, vol. 125(C).
    4. Mengyao Han & Shuchang Li, 2021. "Transfer Patterns and Drivers of Embodied Agricultural Land within China: Based on Multi-Regional Decomposition Analysis," Land, MDPI, vol. 10(2), pages 1-16, February.
    5. Ke, Xinli & Chen, Jing & Zuo, Chengchao & Wang, Xiaoqian, 2024. "The cropland intensive utilisation transition in China: An induced factor substitution perspective," Land Use Policy, Elsevier, vol. 141(C).
    6. Long Kang & Rui Zhao & Kening Wu & Zhe Feng & Huafu Zhao & Sicheng Zhang, 2023. "Distribution Characteristics and Influencing Factors of Soil Biological Indicators in Typical Farmland Soils," Land, MDPI, vol. 12(4), pages 1-14, March.
    7. Xu, Feng & Chi, Guangqing & Zhang, Zhexi & Yang, Jianxin, 2023. "How does quality regional growth affect land resources dependence in China? Evidence based on spatial Durbin panel models," Resources Policy, Elsevier, vol. 81(C).
    8. Yang, Zhiyuan & Zhu, Yuemei & Zhang, Jinyue & Li, Xuyi & Ma, Peng & Sun, Jiawei & Sun, Yongjian & Ma, Jun & Li, Na, 2022. "Comparison of energy use between fully mechanized and semi-mechanized rice production in Southwest China," Energy, Elsevier, vol. 245(C).
    9. Rui Zhao & Kening Wu & Xiaoliang Li & Nan Gao & Mingming Yu, 2021. "Discussion on the Unified Survey and Evaluation of Cultivated Land Quality at County Scale for China’s 3rd National Land Survey: A Case Study of Wen County, Henan Province," Sustainability, MDPI, vol. 13(5), pages 1-26, February.
    10. Xiaoyang Han & Sijing Ye & Shuyi Ren & Changqing Song, 2023. "Using the DTFM Method to Analyse the Degradation Process of Bilateral Trade Relations between China and Australia," Sustainability, MDPI, vol. 15(9), pages 1-22, April.
    11. Sijing Ye & Changqing Song & Yakov Kuzyakov & Feng Cheng & Xiangbin Kong & Zhe Feng & Peichao Gao, 2022. "Preface: Arable Land Quality: Observation, Estimation, Optimization, and Application," Land, MDPI, vol. 11(6), pages 1-5, June.
    12. Xiaoliang Li & Kening Wu & Rui Zhao & Yanan Liu & Xiao Li & Qijun Yang, 2021. "Spatial Analysis of Cultivated Land Productivity and Health Condition: A Case Study of Gaoping City, China," Land, MDPI, vol. 10(12), pages 1-19, November.
    13. Meng Wang & Qingchen Xu & Zemeng Fan & Xiaofang Sun, 2021. "The Imprint of Built-Up Land Expansion on Cropland Distribution and Productivity in Shandong Province," Land, MDPI, vol. 10(6), pages 1-12, June.
    14. Guanyi Yin & Yi Lou & Shuai Xie & Wei Wei, 2022. "Evaluation of the Response of Grain Productivity to Different Arable Land Allocation Intensities in the Land Use Planning System of China," Sustainability, MDPI, vol. 14(5), pages 1-20, March.
    15. Song, Chenchen & Guo, Zhiling & Liu, Zhengguang & Hongyun, Zhang & Liu, Ran & Zhang, Haoran, 2024. "Application of photovoltaics on different types of land in China: Opportunities, status and challenges," Renewable and Sustainable Energy Reviews, Elsevier, vol. 191(C).
    16. Ye, Sijing & Ren, Shuyi & Song, Changqing & Du, Zhenbo & Wang, Kuangxu & Du, Bin & Cheng, Feng & Zhu, Dehai, 2024. "Spatial pattern of cultivated land fragmentation in mainland China: Characteristics, dominant factors, and countermeasures," Land Use Policy, Elsevier, vol. 139(C).
    17. Yu, Zhenning & She, Shuoqi & Xia, Chuyu & Luo, Jiaojiao, 2023. "How to solve the dilemma of China’s land fallow policy: Application of voluntary bidding mode in the Yangtze River Delta of China," Land Use Policy, Elsevier, vol. 125(C).
    18. Jianhui Dong & Wenju Yun & Kening Wu & Shaoshuai Li & Bingrui Liu & Qiaoyuan Lu, 2023. "Spatio-Temporal Analysis of Cultivated Land from 2010 to 2020 in Long’an County, Karst Region, China," Land, MDPI, vol. 12(2), pages 1-22, February.
    19. Yirui Han & Qinqin Pan & Yuee Cao & Jianhong Zhang & Jiaxuan Yuan & Borui Li & Saiqiang Li & Renfeng Ma & Xu Luo & Longbin Sha & Xiaodong Yang, 2022. "Estimation of Grain Crop Yields after Returning the Illegal Nurseries and Orchards to Cultivated Land in the Yangtze River Delta Region," Land, MDPI, vol. 11(11), pages 1-19, November.
    20. Nan Ke & Xupeng Zhang & Xinhai Lu & Bing Kuang & Bin Jiang, 2022. "Regional Disparities and Influencing Factors of Eco-Efficiency of Arable Land Utilization in China," Land, MDPI, vol. 11(2), pages 1-17, February.

    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:sae:envira:v:54:y:2022:i:2:p:222-225. 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: SAGE Publications (email available below). General contact details of provider: .

    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.