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Research on Cultivated Land Quality Restriction Factors Based on Cultivated Land Quality Level Evaluation

Author

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  • Mengmeng Tang

    (College of Resources and Environment, Anhui Agricultural University, Hefei 230036, China)

  • Cuiting Wang

    (College of Resources and Environment, Anhui Agricultural University, Hefei 230036, China)

  • Chunyang Ying

    (College of Resources and Environment, Anhui Agricultural University, Hefei 230036, China)

  • Shuai Mei

    (College of Resources and Environment, Anhui Agricultural University, Hefei 230036, China)

  • Tong Tong

    (College of Resources and Environment, Anhui Agricultural University, Hefei 230036, China)

  • Youhua Ma

    (College of Resources and Environment, Anhui Agricultural University, Hefei 230036, China)

  • Qiang Wang

    (College of Resources and Environment, Anhui Agricultural University, Hefei 230036, China)

Abstract

Cultivated land quality is an essential agricultural resource and production element. To increase cultivated land quality in a targeted way, it is crucial to understand the features of regional elements that constrain its quality. In order to diagnose the restriction factors affecting the improvement of cultivated land quality grades and conduct a quantitative analysis of the regional cultivated land quality improvement restriction factors, the restriction index model was used in this study to analyze the distribution characteristics of cultivated land quality grades in East Anhui, China. The results show that there are six main restriction factors of cultivated land quality in the study area, which are effective soil layer thickness, soil organic matter, soil acidity and alkalinity, plough layer texture, irrigation capacity, drainage capacity, and obstacle factors, among which the main restriction factors of the first to third grades are soil organic matter, soil acidity and alkalinity, and the main restriction factors of the fourth to seventh grades are soil organic matter, and soil acidity and alkalinity. The main restriction factors of the soil organic matter, effective soil layer thickness, and obstacle factors are the key restriction factors in the ninth to tenth classes.

Suggested Citation

  • Mengmeng Tang & Cuiting Wang & Chunyang Ying & Shuai Mei & Tong Tong & Youhua Ma & Qiang Wang, 2023. "Research on Cultivated Land Quality Restriction Factors Based on Cultivated Land Quality Level Evaluation," Sustainability, MDPI, vol. 15(9), pages 1-12, May.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:9:p:7567-:d:1139724
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    References listed on IDEAS

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    1. 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.
    2. Glumac, Brano & Herrera-Gomez, Marcos & Licheron, Julien, 2019. "A hedonic urban land price index," Land Use Policy, Elsevier, vol. 81(C), pages 802-812.
    3. Paudel, Gokul P. & KC, Dilli Bahadur & Rahut, Dil Bahadur & Justice, Scott E. & McDonald, Andrew J., 2019. "Scale-appropriate mechanization impacts on productivity among smallholders: Evidence from rice systems in the mid-hills of Nepal," Land Use Policy, Elsevier, vol. 85(C), pages 104-113.
    4. Mintesinot Taye & Belay Simane & Benjamin F. Zaitchik & Yihenew G. Selassie & Shimelis Setegn, 2019. "Land Use Evaluation over the Jema Watershed, in the Upper Blue Nile River Basin, Northwestern Highlands of Ethiopia," Land, MDPI, vol. 8(3), pages 1-16, March.
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    1. Pingluo Xue & Chongyang Shen & Huaizhi Tang & Yunjia Liu & Yuanfang Huang, 2024. "Knowledge Atlas of Cultivated Land Quality Evaluation Based on Web of Science Since the 21st Century (2000–2023)," Land, MDPI, vol. 13(10), pages 1-15, October.
    2. Fan Wang & Pengtao Zhang & Guijun Zhang & Jiahao Cui, 2023. "Agricultural Land Quality Evaluation and Utilization Zoning Based on the Production–Ecology–Health Dimension: A Case Study of Huanghua City," Land, MDPI, vol. 12(7), pages 1-16, July.
    3. Hongmei Yu & Zhaokun Yu & Xubing Zhang, 2024. "Condition Information Entropy and Rough Set Method Based on Particle Swarm Optimization Applied in the Natural Quality Evaluation of Cultivated Land," Sustainability, MDPI, vol. 16(8), pages 1-13, April.

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