IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v12y2023i7p1367-d1189336.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/12/7/1367/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/12/7/1367/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. 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).
    2. 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.
    3. 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.
    4. 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).
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    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. 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.

    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. Yaoben Lin & Danling Chen, 2022. "Functional Zoning and Path Selection of Land Comprehensive Consolidation Based on Grey Constellation Clustering: A Case Study of Dongying City, China," IJERPH, MDPI, vol. 19(11), pages 1-16, May.
    2. Minjuan Lv & Zhiting Chen & Lingling Yao & Xiaohu Dang & Peng Li & Xiaoshu Cao, 2022. "Potential Zoning of Construction Land Consolidation in the Loess Plateau Based on the Evolution of Human–Land Relationship," IJERPH, MDPI, vol. 19(22), pages 1-19, November.
    3. Changchang Liu & Chuxiong Deng & Zhongwu Li & Yaojun Liu & Shuyuan Wang, 2022. "Optimization of Spatial Pattern of Land Use: Progress, Frontiers, and Prospects," IJERPH, MDPI, vol. 19(10), pages 1-22, May.
    4. Elke Stehfest & Willem-Jan Zeist & Hugo Valin & Petr Havlik & Alexander Popp & Page Kyle & Andrzej Tabeau & Daniel Mason-D’Croz & Tomoko Hasegawa & Benjamin L. Bodirsky & Katherine Calvin & Jonathan C, 2019. "Key determinants of global land-use projections," Nature Communications, Nature, vol. 10(1), pages 1-10, December.
    5. Lili Zhang & Baoqing Hu & Ze Zhang & Gaodou Liang & Simin Huang, 2023. "Comprehensive Evaluation of Ecological-Economic Value of Guangxi Based on Land Consolidation," Land, MDPI, vol. 12(4), pages 1-25, March.
    6. Ma, Shuai & Wang, Liang-Jie & Chu, Lei & Jiang, Jiang, 2023. "Determination of ecological restoration patterns based on water security and food security in arid regions," Agricultural Water Management, Elsevier, vol. 278(C).
    7. Qing Li & Xueyan Zhang, 2022. "Identifying Peach Trees in Cultivated Land Using U-Net Algorithm," Land, MDPI, vol. 11(7), pages 1-15, July.
    8. Franco-Solís, Alberto & Montanía, Claudia V., 2021. "Dynamics of deforestation worldwide: A structural decomposition analysis of agricultural land use in South America," Land Use Policy, Elsevier, vol. 109(C).
    9. Yin, Qiqi & Sui, Xueyan & Ye, Bei & Zhou, Yujie & Li, Chengqiang & Zou, Mengmeng & Zhou, Shenglu, 2022. "What role does land consolidation play in the multi-dimensional rural revitalization in China? A research synthesis," Land Use Policy, Elsevier, vol. 120(C).
    10. Jiyun Li & Yong Zhou & Qing Li & Siqi Yi & Lina Peng, 2022. "Exploring the Effects of Land Use Changes on the Landscape Pattern and Soil Erosion of Western Hubei Province from 2000 to 2020," IJERPH, MDPI, vol. 19(3), pages 1-27, January.
    11. Weilun Feng & Yurui Li, 2021. "Measuring the Ecological Safety Effects of Land Use Transitions Promoted by Land Consolidation Projects: The Case of Yan’an City on the Loess Plateau of China," Land, MDPI, vol. 10(8), pages 1-15, July.
    12. Yaotao Xu & Peng Li & Jinjin Pan & Yi Zhang & Xiaohu Dang & Xiaoshu Cao & Junfang Cui & Zhi Yang, 2022. "Eco-Environmental Effects and Spatial Heterogeneity of “Production-Ecology-Living” Land Use Transformation: A Case Study for Ningxia, China," Sustainability, MDPI, vol. 14(15), pages 1-20, August.
    13. Tan, Kun & Zhao, Xiaoqing & Pu, Junwei & Li, Sinan & Li, Yuhao & Miao, Peipei & Wang, Qian, 2021. "Zoning regulation and development model for water and land resources in the Karst Mountainous Region of Southwest China," Land Use Policy, Elsevier, vol. 109(C).
    14. Qiao, Weifeng & Hu, Yi & Jia, Kaiyang & He, Tianqi & Wang, Yahua, 2020. "Dynamic modes and ecological effects of salt field utilization in the Weifang coastal area, China: Implications for territorial spatial planning," Land Use Policy, Elsevier, vol. 99(C).
    15. Grzegorz Oleniacz, 2021. "Czekanowski’s Diagram and Spatial Data Cluster Analysis for Planning Sustainable Development of Rural Areas," Sustainability, MDPI, vol. 13(20), pages 1-13, October.
    16. Beibei Guo & Xiaobin Jin & Yelin Fang & Yinkang Zhou, 2020. "Evaluation of Sustainable Regional Development Combining Remote Sensing Data and Ecological Constraints: A Case Study of Chaohu Basin, China," Sustainability, MDPI, vol. 12(23), pages 1-20, November.
    17. Yanyuan Zhang & Cong Xu & Min Xia, 2021. "Can Land Consolidation Reduce the Soil Erosion of Agricultural Land in Hilly Areas? Evidence from Lishui District, Nanjing City," Land, MDPI, vol. 10(5), pages 1-14, May.
    18. Jiehua Lv & Wen Zhou, 2023. "Ecological Environmental Quality in China: Spatial and Temporal Characteristics, Regional Differences, and Internal Transmission Mechanisms," Sustainability, MDPI, vol. 15(4), pages 1-21, February.
    19. Shangxiao Wang & Ming Zhang & Xi Xi, 2022. "Ecological Environment Evaluation Based on Remote Sensing Ecological Index: A Case Study in East China over the Past 20 Years," Sustainability, MDPI, vol. 14(23), pages 1-15, November.
    20. 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.

    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:jlands:v:12:y:2023:i:7:p:1367-:d:1189336. 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.