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

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  • 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
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    1. 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.
    2. 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.
    3. 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.
    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.
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    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.

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