IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2020i17p7230-d408548.html
   My bibliography  Save this article

Spatial Structure Characteristics of Slope Farmland Quality in Plateau Mountain Area: A Case Study of Yunnan Province, China

Author

Listed:
  • Zhengfa Chen

    (Kunming Engineering Corporation Limited of POWERCHINA, Kunming 650051, China
    College of Resources and Environment, Southwest University, Chongqing 400715, China)

  • Dongmei Shi

    (College of Resources and Environment, Southwest University, Chongqing 400715, China)

Abstract

As an important part of farmland, the slope farmland is widely distributed in the central and western plateau mountain region in China. It is necessary to scientifically evaluate the slope farmland quality (SFQ) and analyze the spatial structure characteristics of SFQ to ensure reasonable utilization and partition protection of slope farmland resources. This paper takes the typical plateau mountain region—Yunnan Province in China—as an example and systematically identifies the leading factors of SFQ. The sloping integrated fertility index (SIFI) is adopted to reflect the SFQ. The evaluation system is built to quantitatively evaluate the SFQ and the spatial structure characteristics of SFQ were analyzed by a geostatistical model, autocorrelation analysis and spatial cold–hot spot analysis. The results show that the SFQ indexes in Yunnan Province are between 0.36 and 0.81, with a mean of 0.59. The SFQ grade is based on sixth-class, fifth-class, seventh-class and fourth-class land. The SFQ indexes present a normal spatial distribution, and the Gaussian model fits well with the semi-variance function of the spatial distribution of SFQ indexes. Furthermore, the spatial distribution of SFQ indexes is moderately autocorrelated. The structural factors play a major role in the spatial heterogeneity of SFQ indexes, but the influence of random factors should not be ignored. The spatial distribution of SFQ grades has a significant spatial aggregation characteristic, and the types of local indicators of spatial association (LISA) are based on high–high (HH) aggregation and low–low (LL) aggregation. The cold spot and hot spot distributions of SFQ grades display the significant spatial difference. The hot spot area is mainly distributed in Central Yunnan and the Southern Fringe, while the cold spot area mainly distributes in the Northeastern Yunnan, Northwestern Yunnan and Southwestern Yunnan. This study could provide a scientific basis for SFQ management and ecological environment protection in the plateau mountain region.

Suggested Citation

  • Zhengfa Chen & Dongmei Shi, 2020. "Spatial Structure Characteristics of Slope Farmland Quality in Plateau Mountain Area: A Case Study of Yunnan Province, China," Sustainability, MDPI, vol. 12(17), pages 1-21, September.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:17:p:7230-:d:408548
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/17/7230/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/12/17/7230/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Mariusz Malinowski & Joanna Smoluk-Sikorska, 2020. "Spatial Relations between the Standards of Living and the Financial Capacity of Polish District-Level Local Government," Sustainability, MDPI, vol. 12(5), pages 1-27, February.
    2. Nan Wang & Jian Zu & Mu Li & Jinyi Zhang & Jinmin Hao, 2020. "Spatial Zoning of Cultivated Land in Shandong Province Based on the Trinity of Quantity, Quality and Ecology," Sustainability, MDPI, vol. 12(5), pages 1-20, March.
    3. Pietro Piana & Francesco Faccini & Fabio Luino & Guido Paliaga & Alessandro Sacchini & Charles Watkins, 2019. "Geomorphological Landscape Research and Flood Management in a Heavily Modified Tyrrhenian Catchment," Sustainability, MDPI, vol. 11(17), pages 1-22, August.
    4. Su, Mo & Guo, Renzhong & Hong, Wuyang, 2019. "Institutional transition and implementation path for cultivated land protection in highly urbanized regions: A case study of Shenzhen, China," Land Use Policy, Elsevier, vol. 81(C), pages 493-501.
    5. Guido Paliaga & Fabio Luino & Laura Turconi & Fausto Marincioni & Francesco Faccini, 2020. "Exposure to Geo-Hydrological Hazards of the Metropolitan Area of Genoa, Italy: A Multi-Temporal Analysis of the Bisagno Stream," Sustainability, MDPI, vol. 12(3), pages 1-20, February.
    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. Li Wang & Yong Zhou & Qing Li & Tao Xu & Zhengxiang Wu & Jingyi Liu, 2021. "Application of Three Deep Machine-Learning Algorithms in a Construction Assessment Model of Farmland Quality at the County Scale: Case Study of Xiangzhou, Hubei Province, China," Agriculture, MDPI, vol. 11(1), pages 1-23, January.
    2. He Huang & Yong Zhou & Yu-Jie Liu & Liang Xiao & Ke Li & Meng-Yao Li & Yang Tian & Fei Wu, 2021. "Source Apportionment and Ecological Risk Assessment of Potentially Toxic Elements in Cultivated Soils of Xiangzhou, China: A Combined Approach of Geographic Information System and Random Forest," Sustainability, MDPI, vol. 13(3), pages 1-22, January.
    3. Jun Fan & Xingming Fan & Attachai Jintrawet & Horst Weyerhaeuser, 2021. "Sustainability Interventions on Agro-Ecosystems: An Experience from Yunnan Province, China," Sustainability, MDPI, vol. 13(10), pages 1-15, May.

    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. Hua Li & Dan Su & Yu Cao & Jiayi Wang & Yu Cao, 2022. "Optimizing the Compensation Standard of Cultivated Land Protection Based on Ecosystem Services in the Hangzhou Bay Area, China," Sustainability, MDPI, vol. 14(4), pages 1-18, February.
    2. Qian Sun & Mingjie Wu & Peiyu Du & Wei Qi & Xinyang Yu, 2022. "Spatial Layout Optimization and Simulation of Cultivated Land Based on the Life Community Theory in a Mountainous and Hilly Area of China," Sustainability, MDPI, vol. 14(7), pages 1-15, March.
    3. Qun Zhang & Cifang Wu, 2022. "Optimization Model of Permanent Basic Farmland Indicators Distribution from the Perspective of Equity: A Case from W County, China," Land, MDPI, vol. 11(8), pages 1-13, August.
    4. Xing Liu & Zhaoyang Cai & Yan Xu & Huihui Zheng & Kaige Wang & Fengrong Zhang, 2022. "Suitability Evaluation of Cultivated Land Reserved Resources in Arid Areas Based on Regional Water Balance," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 36(4), pages 1463-1479, March.
    5. Hongbin Liu & Zhanli Sun & Xiaojuan Luo & Xiuru Dong & Mengyao Wu, 2020. "A Spatial-Temporal Analysis of the Effects of Households’ Land-use Behaviors on Soil Available Potassium in Cropland: A Case Study from Urban Peripheral Region in Northeast China," Land, MDPI, vol. 9(5), pages 1-19, May.
    6. Mariusz Adynkiewicz-Piragas & Bartłomiej Miszuk, 2020. "Risk Analysis Related to Impact of Climate Change on Water Resources and Hydropower Production in the Lusatian Neisse River Basin," Sustainability, MDPI, vol. 12(12), pages 1-23, June.
    7. Tianlin Zhai & Jing Wang & Ying Fang & Jingjing Liu & Longyang Huang & Kun Chen & Chenchen Zhao, 2021. "Identification and Prediction of Wetland Ecological Risk in Key Cities of the Yangtze River Economic Belt: From the Perspective of Land Development," Sustainability, MDPI, vol. 13(1), pages 1-17, January.
    8. Ashraf Abdelkarim & Ahmed F. D. Gaber & Ibtesam I. Alkadi & Haya M. Alogayell, 2019. "Integrating Remote Sensing and Hydrologic Modeling to Assess the Impact of Land-Use Changes on the Increase of Flood Risk: A Case Study of the Riyadh–Dammam Train Track, Saudi Arabia," Sustainability, MDPI, vol. 11(21), pages 1-32, October.
    9. Xupeng Zhang & Danling Chen & Xinhai Lu & Yifeng Tang & Bin Jiang, 2021. "Interaction between Land Financing Strategy and the Implementation Deviation of Local Governments’ Cultivated Land Protection Policy in China," Land, MDPI, vol. 10(8), pages 1-16, July.
    10. Mariusz Malinowski, 2021. "“Green Energy” and the Standard of Living of the EU Residents," Energies, MDPI, vol. 14(8), pages 1-35, April.
    11. Dang, Yuxuan & Zhao, Zhenting & Kong, Xiangbin & Lei, Ming & Liao, Yubo & Xie, Zhen & Song, Wei, 2023. "Discerning the process of cultivated land governance transition in China since the reform and opening-up-- Based on the multiple streams framework," Land Use Policy, Elsevier, vol. 133(C).
    12. Mariusz Malinowski, 2021. "The Standard of Living of Inhabitants and the Scientific and Technological Potential in Selected European Union Regions," European Research Studies Journal, European Research Studies Journal, vol. 0(2), pages 714-747.
    13. Yuanzhi Guo & Jieyong Wang, 2023. "Land Consolidation in Rural China: Historical Stages, Typical Modes, and Improvement Paths," Land, MDPI, vol. 12(2), pages 1-15, February.
    14. Mengba Liu & Anlu Zhang & Xiong Zhang & Yanfei Xiong, 2022. "Research on the Game Mechanism of Cultivated Land Ecological Compensation Standards Determination: Based on the Empirical Analysis of the Yangtze River Economic Belt, China," Land, MDPI, vol. 11(9), pages 1-29, September.
    15. Kuang, Bing & Lu, Xinhai & Zhou, Min & Chen, Danling, 2020. "Provincial cultivated land use efficiency in China: Empirical analysis based on the SBM-DEA model with carbon emissions considered," Technological Forecasting and Social Change, Elsevier, vol. 151(C).
    16. Chaoyue Wang & Tingzhen Li & Xianhua Guo & Lilin Xia & Chendong Lu & Chunbo Wang, 2022. "Plus-InVEST Study of the Chengdu-Chongqing Urban Agglomeration’s Land-Use Change and Carbon Storage," Land, MDPI, vol. 11(10), pages 1-19, September.
    17. Xiuyu Huang & Ying Wang & Wanyi Liang & Zhaojun Wang & Xiao Zhou & Qinqiang Yan, 2023. "Spatial–Temporal Evolution and Driving Factors of the Low–Carbon Transition of Farmland Use in Coastal Areas of Guangdong Province," Land, MDPI, vol. 12(5), pages 1-23, May.
    18. Guido Paliaga & Fabio Luino & Laura Turconi & Fausto Marincioni & Francesco Faccini, 2020. "Exposure to Geo-Hydrological Hazards of the Metropolitan Area of Genoa, Italy: A Multi-Temporal Analysis of the Bisagno Stream," Sustainability, MDPI, vol. 12(3), pages 1-20, February.
    19. Zhaoxia Guo & Qinqin Guo & Yujie Cai & Ge Wang, 2021. "Unraveling Risk Networks of Cultivated Land Protection: An Exploratory Stakeholder-Oriented Case Study in Xiliuhe Town, Hubei Province, China," Land, MDPI, vol. 10(11), pages 1-26, November.
    20. Chaozheng Zhang & Yangyue Su & Gangqiao Yang & Danling Chen & Rongxuan Yang, 2020. "Spatial-Temporal Characteristics of Cultivated Land Use Efficiency in Major Function-Oriented Zones: A Case Study of Zhejiang Province, China," Land, MDPI, vol. 9(4), pages 1-20, April.

    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:jsusta:v:12:y:2020:i:17:p:7230-:d:408548. 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.