IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v11y2022i6p785-d824365.html
   My bibliography  Save this article

Spatiotemporal Evolution of Crop Planting Structure in the Black Soil Region of Northeast China: A Case Study in Hailun County

Author

Listed:
  • Quanfeng Li

    (School of Public Administration and Law, Northeast Agricultural University, Harbin 150030, China)

  • Wei Liu

    (School of Public Administration and Law, Northeast Agricultural University, Harbin 150030, China)

  • Guoming Du

    (School of Public Administration and Law, Northeast Agricultural University, Harbin 150030, China)

  • Bonoua Faye

    (School of Economics and Management, Northeast Agricultural University, Harbin 150030, China)

  • Huanyuan Wang

    (School of Public Administration and Law, Northeast Agricultural University, Harbin 150030, China
    These authors contributed equally to this work.)

  • Yunkai Li

    (School of Public Administration and Law, Northeast Agricultural University, Harbin 150030, China
    These authors contributed equally to this work.)

  • Lu Wang

    (School of Public Administration and Law, Northeast Agricultural University, Harbin 150030, China)

  • Shijin Qu

    (School of Public Administration, China University of Geosciences, Wuhan 430074, China)

Abstract

Detailed characteristics of crop planting structure (CPS) evolution can inform the optimization of the crop yield proportion in the black soil region of Northeast China (BSRNC). Choosing Hailun County as an example, this study sought to analyze the geographic characteristics of CPS evolution from 2000 to 2020. Our analysis produced new spatiotemporal information based on the remote-sensing interpretation data, namely, Landsat4-5 TM, Landsat7 ETM+, and Landsat8 OLI images. The study characterized the temporal and spatial dynamics of CPS. Our results showed the following: (1) Soybean and maize were the main crops, with a total land area of 70%; they alternated as the most dominant crop. (2) The distribution breadth and aggregation intensity of soybean and maize were spatially complementary; rice had the smallest distribution range but strong water aggregation. (3) The evolution pattern of CPS was the interconversion between a single type of soybean and maize. Our results indicate that the future CPS adjustment of BSRNC needs to consider the county-level optimization of crop area proportion and crop spatial distribution. This context has excellent implications in geographically informing policymaking to adjust county-level CPS of BSRNC, thus safeguarding food security.

Suggested Citation

  • Quanfeng Li & Wei Liu & Guoming Du & Bonoua Faye & Huanyuan Wang & Yunkai Li & Lu Wang & Shijin Qu, 2022. "Spatiotemporal Evolution of Crop Planting Structure in the Black Soil Region of Northeast China: A Case Study in Hailun County," Land, MDPI, vol. 11(6), pages 1-14, May.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:6:p:785-:d:824365
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/11/6/785/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/11/6/785/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. You, Liangzhi & Wood, Stanley & Wood-Sichra, Ulrike & Wu, Wenbin, 2014. "Generating global crop distribution maps: From census to grid," Agricultural Systems, Elsevier, vol. 127(C), pages 53-60.
    2. Guo, Yuanzhi & Liu, Yansui, 2021. "Poverty alleviation through land assetization and its implications for rural revitalization in China," Land Use Policy, Elsevier, vol. 105(C).
    3. Chen, Yun & Guerschman, Juan P & Cheng, Zhibo & Guo, Longzhu, 2019. "Remote sensing for vegetation monitoring in carbon capture storage regions: A review," Applied Energy, Elsevier, vol. 240(C), pages 312-326.
    4. Janet Ranganathan & Daniel Vennard, 2016. "Shifting Diets for a Sustainable Food Future," Working Papers id:10890, eSocialSciences.
    5. Ge Song & Hongmei Zhang, 2021. "Cultivated Land Use Layout Adjustment Based on Crop Planting Suitability: A Case Study of Typical Counties in Northeast China," Land, MDPI, vol. 10(2), pages 1-19, January.
    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. Bonoua Faye & Guoming Du & Edmée Mbaye & Chang’an Liang & Tidiane Sané & Ruhao Xue, 2023. "Assessing the Spatial Agricultural Land Use Transition in Thiès Region, Senegal, and Its Potential Driving Factors," Land, MDPI, vol. 12(4), pages 1-20, March.
    2. Guoming Du & Longcheng Yao & Le Han & Faye Bonoua, 2023. "What Should Be Learned from the Dynamic Evolution of Cropping Patterns in the Black Soil Region of Northeast China? A Case Study of Wangkui County, Heilongjiang Province," Land, MDPI, vol. 12(8), pages 1-17, August.

    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. He, Liuyue & Xu, Zhenci & Wang, Sufen & Bao, Jianxia & Fan, Yunfei & Daccache, Andre, 2022. "Optimal crop planting pattern can be harmful to reach carbon neutrality: Evidence from food-energy-water-carbon nexus perspective," Applied Energy, Elsevier, vol. 308(C).
    2. Albert, Osei-Owusu Kwame & Marianne, Thomsen & Jonathan, Lindahl & Nino, Javakhishvili Larsen & Dario, Caro, 2020. "Tracking the carbon emissions of Denmark's five regions from a producer and consumer perspective," Ecological Economics, Elsevier, vol. 177(C).
    3. Xavier, Antonio & Martins, Maria de Belem Costa Freitas & Fragoso, Rui Manuel de Sousa, 2011. "Recovery of Incomplete Data of Statistical Livestock Number Applying an Entropy Approach," 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland 115790, European Association of Agricultural Economists.
    4. David Bryngelsson & Fredrik Hedenus & Daniel J. A. Johansson & Christian Azar & Stefan Wirsenius, 2017. "How Do Dietary Choices Influence the Energy-System Cost of Stabilizing the Climate?," Energies, MDPI, vol. 10(2), pages 1-13, February.
    5. Channing Arndt & William Farmer & Kenneth Strzepek & James Thurlow, 2012. "Climate Change, Agriculture and Food Security in Tanzania," Review of Development Economics, Wiley Blackwell, vol. 16(3), pages 378-393, August.
    6. Meghan Beck-O’Brien & Stefan Bringezu, 2021. "Biodiversity Monitoring in Long-Distance Food Supply Chains: Tools, Gaps and Needs to Meet Business Requirements and Sustainability Goals," Sustainability, MDPI, vol. 13(15), pages 1-23, July.
    7. António Xavier & Rui Fragoso & Maria Belém Costa Freitas & Maria Socorro Rosário, 2019. "An Approach Using Entropy and Supervised Classifications to Disaggregate Agricultural Data at a Local Level," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 17(4), pages 763-779, December.
    8. Patricia Eustachio Colombo & Emma Patterson & Liselotte Schäfer Elinder & Anna Karin Lindroos & Ulf Sonesson & Nicole Darmon & Alexandr Parlesak, 2019. "Optimizing School Food Supply: Integrating Environmental, Health, Economic, and Cultural Dimensions of Diet Sustainability with Linear Programming," IJERPH, MDPI, vol. 16(17), pages 1-18, August.
    9. Zehua Wang & Fachao Liang & Sheng-Hau Lin, 2023. "Can socially sustainable development be achieved through homestead withdrawal? A hybrid multiple-attributes decision analysis," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-18, December.
    10. Bonoua Faye & Guoming Du & Edmée Mbaye & Chang’an Liang & Tidiane Sané & Ruhao Xue, 2023. "Assessing the Spatial Agricultural Land Use Transition in Thiès Region, Senegal, and Its Potential Driving Factors," Land, MDPI, vol. 12(4), pages 1-20, March.
    11. Zhe Zhao & Pengyu Peng & Fan Zhang & Jiayin Wang & Hongxuan Li, 2022. "The Impact of the Urbanization Process on Agricultural Technical Efficiency in Northeast China," Sustainability, MDPI, vol. 14(19), pages 1-20, September.
    12. Graham von Maltitz & Marna van der Merwe, 2017. "Land and agronomic potential for biofuel production in Southern Africa," WIDER Working Paper Series 085, World Institute for Development Economic Research (UNU-WIDER).
    13. Thomas, Timothy S., 2015. "US maize data reveals adaptation to heat and water stress:," IFPRI discussion papers 1485, International Food Policy Research Institute (IFPRI).
    14. João Lucas Della-Silva & Carlos Antonio da Silva Junior & Mendelson Lima & Paulo Eduardo Teodoro & Marcos Rafael Nanni & Luciano Shozo Shiratsuchi & Larissa Pereira Ribeiro Teodoro & Guilherme Fernand, 2022. "CO 2 Flux Model Assessment and Comparison between an Airborne Hyperspectral Sensor and Orbital Multispectral Imagery in Southern Amazonia," Sustainability, MDPI, vol. 14(9), pages 1-15, May.
    15. Mugabe, Francis T. & Thomas, Timothy S. & Hachigonta, Sepo & Sibanda, Lindiwe M., 2013. "Zimbabwe," IFPRI book chapters, in: Hachigonta, Sepo & Nelson, Gerald C. & Thomas, Timothy S. & Sibanda, Lindiwe Majele (ed.), Southern African agriculture and climate change: A comprehensive analysis, chapter 10, pages 289-324, International Food Policy Research Institute (IFPRI).
    16. Xia, Fangzhou & Huang, Jing & Zhang, Zhengfeng, 2024. "Government concerns, the benefit cliff, and land use: A comparative study of rural impoverished and marginalised impoverished groups," Land Use Policy, Elsevier, vol. 140(C).
    17. Wang, Ziyang & Wang, Wenxiong & Yu, Lihong & Zhang, Dongli, 2022. "Multidimensional poverty alleviation effect of different rural land consolidation models: A case study of Hubei and Guizhou, China," Land Use Policy, Elsevier, vol. 123(C).
    18. Soltani, A. & Alimagham, S.M. & Nehbandani, A. & Torabi, B. & Zeinali, E. & Zand, E. & Ghassemi, S. & Vadez, V. & Sinclair, T.R. & van Ittersum, M.K., 2020. "Modeling plant production at country level as affected by availability and productivity of land and water," Agricultural Systems, Elsevier, vol. 183(C).
    19. Qingsheng Bi & Weiqiang Chen & Ling Li & Xiuli Wang & Enxiang Cai, 2022. "Agricultural Population Supported in Rural Areas under Traditional Planting Mode Based on Opportunity Cost Analysis," Land, MDPI, vol. 11(8), pages 1-15, August.
    20. Lu Cai & Chaoqing Chai & Bangbang Zhang & Feng Yang & Wei Wang & Chengdong Zhang, 2022. "The Theoretical Approach and Practice of Farmland Rights System Reform from Decentralization to Centralization Promoting Agricultural Modernization: Evidence from Yuyang District in Shaanxi, China," Land, MDPI, vol. 11(12), pages 1-16, December.

    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:11:y:2022:i:6:p:785-:d:824365. 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.