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Agricultural Land Quality Evaluation and Utilization Zoning Based on the Production–Ecology–Health Dimension: A Case Study of Huanghua City

Author

Listed:
  • Fan Wang

    (School of Resources and Environmental Science, Hebei Agricultural University, Baoding 071001, China
    Key Laboratory of Agriculture and Environmental Protection in Hebei Province, Baoding 071001, China)

  • Pengtao Zhang

    (School of Land Resources, Hebei Agricultural University, Baoding 071001, China)

  • Guijun Zhang

    (Key Laboratory of Agriculture and Environmental Protection in Hebei Province, Baoding 071001, China
    School of Land Resources, Hebei Agricultural University, Baoding 071001, China)

  • Jiahao Cui

    (School of Land Resources, Hebei Agricultural University, Baoding 071001, China)

Abstract

Clarifying the constituent elements of agricultural land quality, carrying out multi-dimensional quality evaluation of agricultural land, and implementing precise land consolidation and utilization zoning all have important guiding significance for achieving efficient utilization of agricultural land in China. This work analyzed the multi-dimensional evaluation framework of agricultural land based on its comprehensive quality elements and the production, ecological, and health functions. This paper constructed a multi-dimensional agricultural land “production–ecology–health” quality evaluation index system and evaluation criteria, and carried out a multi-dimensional quality evaluation of agricultural land in Huanghua City, Hebei Province, China. The spatial superposition of each dimension′s evaluation results, combined with the logical relationship between agricultural land use and each dimension′s quality, realized the renovation and utilization zoning of agricultural land. The results are as follows: (1) The production, ecological, and health qualities of agricultural land in Huanghua City were below the average and there is spatial variability, whose proportions of grade III and below were 63.12, 66.23, and 69.32%, respectively. In addition, low score areas are mainly located in the south and northwest of the study area. (2) The obstacle factors to quality in different dimensions were different: The obstacle factors to production quality were matter content, soil pH, irrigation guarantee rate, and alkaline hydrolysis nitrogen; groundwater salinity and depth, soil pH, and chemical fertilizers consumption for ecological quality; and groundwater salinity and depth and soil pH for health quality. (3) Agricultural land in Huanghua city is divided into five types of remediation, including 30,277.34 hm 2 for high efficiency utilization area, 10,576.54 hm 2 for production quality cultivation area, 34,387.86 hm 2 for health quality cultivation area, and 56,311.22 hm 2 for comprehensive consolidation and restoration area; special remediation measures are proposed for different types of zones. The work improves the multi-objective quality evaluation index system for agricultural land and implements differentiated land remediation strategies by identifying obstacle factors through zoning. It provides methodological ideas to improve the efficiency of land remediation and utilization.

Suggested Citation

  • 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.
  • Handle: RePEc:gam:jlands:v:12:y:2023:i:7:p:1367-:d:1189336
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    References listed on IDEAS

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    1. Richard C. Leegood & John R. Evans & Robert T. Furbank, 2010. "Food security requires genetic advances to increase farm yields," Nature, Nature, vol. 464(7290), pages 831-831, April.
    2. Miroslav Kuburić & Milan Trifković & Žarko Nestorović, 2022. "Efficient Water Use and Greenhouse Gas Emission Reduction in Agricultural Land Use—The Aspect of Land Consolidation," Sustainability, MDPI, vol. 14(22), pages 1-13, November.
    3. 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.
    4. Min Xia & Linyan Wang & Bo Wen & Wei Zou & Weixin Ou & Zhongqiong Qu, 2021. "Land Consolidation Zoning in Coastal Tidal Areas Based on Landscape Security Pattern: A Case Study of Dafeng District, Yancheng, Jiangsu Province, China," Land, MDPI, vol. 10(2), pages 1-13, February.
    5. Guo, Beibei & Fang, Yelin & Jin, Xiaobin & zhou, Yinkang, 2020. "Monitoring the effects of land consolidation on the ecological environmental quality based on remote sensing: A case study of Chaohu Lake Basin, China," Land Use Policy, Elsevier, vol. 95(C).
    6. Pengnan Xiao & Chong Zhao & Yong Zhou & Haoyu Feng & Xigui Li & Jinhui Jiang, 2021. "Study on Land Consolidation Zoning in Hubei Province Based on the Coupling of Neural Network and Cluster Analysis," Land, MDPI, vol. 10(7), pages 1-16, July.
    7. Cai, Liping & Wang, Hui & Liu, Yanxu & Fan, Donglin & Li, Xiaoxiao, 2022. "Is potential cultivated land expanding or shrinking in the dryland of China? Spatiotemporal evaluation based on remote sensing and SVM," Land Use Policy, Elsevier, vol. 112(C).
    8. Camba Sans, Gonzalo Hernán & Aguiar, Sebastián & Vallejos, María & Paruelo, José María, 2018. "Assessing the effectiveness of a land zoning policy in the Dry Chaco. The Case of Santiago del Estero, Argentina," Land Use Policy, Elsevier, vol. 70(C), pages 313-321.
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