IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v11y2022i4p587-d796114.html
   My bibliography  Save this article

Spatio-Temporal Evolution and Future Simulation of Agricultural Land Use in Xiangxi, Central China

Author

Listed:
  • Hui Xiang

    (School of Geographical Sciences, Southwest University, Chongqing 400715, China
    Chongqing Jinfo Mountain Field Scientific Observation and Research Station for Kaster Ecosystem, Ministry of Education, Chongqing 400715, China
    State Cultivation Base of Eco-Agriculture for Southwest Mountainous Land, Southwest University, Chongqing 400715, China
    Chongqing Key Laboratory of Karst and Environment, Chongqing 400715, China)

  • Yinhua Ma

    (School of Geographical Sciences, Southwest University, Chongqing 400715, China
    Chongqing Jinfo Mountain Field Scientific Observation and Research Station for Kaster Ecosystem, Ministry of Education, Chongqing 400715, China
    State Cultivation Base of Eco-Agriculture for Southwest Mountainous Land, Southwest University, Chongqing 400715, China
    Chongqing Key Laboratory of Karst and Environment, Chongqing 400715, China)

  • Rongrong Zhang

    (School of Geographical Sciences, Southwest University, Chongqing 400715, China
    Chongqing Jinfo Mountain Field Scientific Observation and Research Station for Kaster Ecosystem, Ministry of Education, Chongqing 400715, China
    State Cultivation Base of Eco-Agriculture for Southwest Mountainous Land, Southwest University, Chongqing 400715, China
    Chongqing Key Laboratory of Karst and Environment, Chongqing 400715, China)

  • Hongji Chen

    (School of Geographical Sciences, Southwest University, Chongqing 400715, China
    Chongqing Jinfo Mountain Field Scientific Observation and Research Station for Kaster Ecosystem, Ministry of Education, Chongqing 400715, China
    State Cultivation Base of Eco-Agriculture for Southwest Mountainous Land, Southwest University, Chongqing 400715, China
    Chongqing Key Laboratory of Karst and Environment, Chongqing 400715, China)

  • Qingyuan Yang

    (School of Geographical Sciences, Southwest University, Chongqing 400715, China
    Chongqing Jinfo Mountain Field Scientific Observation and Research Station for Kaster Ecosystem, Ministry of Education, Chongqing 400715, China
    State Cultivation Base of Eco-Agriculture for Southwest Mountainous Land, Southwest University, Chongqing 400715, China
    Chongqing Key Laboratory of Karst and Environment, Chongqing 400715, China)

Abstract

Researches on agricultural land use would help the stakeholders to make better decisions about agricultural resources. However, studies on agricultural land have been lacking. In this context, Xiangxi was chosen as a typical region, and five indicators (Kernel Density, change importance, etc.) and two models (gray forecasting model and GeoSoS-FLUS) were used, to explore the spatio-temporal evolution trends and simulate the future scenarios of agricultural land use. The results were as follows: (1) Xiangxi was dominated by agricultural land, and nearly 50% of total extent was forestry land. Extent of agricultural land decreased by about 56.89 km 2 or 3.74% from 2000 to 2018; (2) The density of each agricultural land in the study area had considerable spatial heterogeneity, and showed a main trend of shrinkage, especially in the south regions; (3) In 2030, the spatial pattern and composition of agricultural land in Xiangxi will maintain the existing status, while both of the area and proportion of agricultural land will decline, with a loss of 241.34 km 2 or 2.85% decrease from 2000. Nevertheless, the study believed that the slight shrinkage of the agricultural land in Xiangxi is in line with the objective law. At the same time, the study suggested to strengthen the scientific management and rational utilization of agricultural land, with emphasis on arable land and fishery land in the south, especially the administrative center.

Suggested Citation

  • Hui Xiang & Yinhua Ma & Rongrong Zhang & Hongji Chen & Qingyuan Yang, 2022. "Spatio-Temporal Evolution and Future Simulation of Agricultural Land Use in Xiangxi, Central China," Land, MDPI, vol. 11(4), pages 1-16, April.
  • Handle: RePEc:gam:jlands:v:11:y:2022:i:4:p:587-:d:796114
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/11/4/587/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2073-445X/11/4/587/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. He, Juan & Shi, Xueyi & Fu, Yangjun & Yuan, Ye, 2020. "Evaluation and simulation of the impact of land use change on ecosystem services trade-offs in ecological restoration areas, China," Land Use Policy, Elsevier, vol. 99(C).
    2. Zhang, Honghui & Zeng, Yongnian & Jin, Xiaobin & Shu, Bangrong & Zhou, Yinkang & Yang, Xuhong, 2016. "Simulating multi-objective land use optimization allocation using Multi-agent system—A case study in Changsha, China," Ecological Modelling, Elsevier, vol. 320(C), pages 334-347.
    3. Sohl, Terry L. & Wimberly, Michael C. & Radeloff, Volker C. & Theobald, David M. & Sleeter, Benjamin M., 2016. "Divergent projections of future land use in the United States arising from different models and scenarios," Ecological Modelling, Elsevier, vol. 337(C), pages 281-297.
    4. Tingting Yang & Xuefeng Guan & Yuehui Qian & Weiran Xing & Huayi Wu, 2019. "Efficiency Evaluation of Urban Road Transport and Land Use in Hunan Province of China Based on Hybrid Data Envelopment Analysis (DEA) Models," Sustainability, MDPI, vol. 11(14), pages 1-18, July.
    5. Sulistyawati, Endah & Noble, Ian R. & Roderick, Michael L., 2005. "A simulation model to study land use strategies in swidden agriculture systems," Agricultural Systems, Elsevier, vol. 85(3), pages 271-288, September.
    6. Kazungu, Moses & Ferrer Velasco, Rubén & Zhunusova, Eliza & Lippe, Melvin & Kabwe, Gillian & Gumbo, Davison J. & Günter, Sven, 2021. "Effects of household-level attributes and agricultural land-use on deforestation patterns along a forest transition gradient in the Miombo landscapes, Zambia," Ecological Economics, Elsevier, vol. 186(C).
    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. Liangen Zeng & Haitao Li & Xiao Wang & Zhao Yu & Haoyu Hu & Xinyue Yuan & Xuhai Zhao & Chengming Li & Dandan Yuan & Yukun Gao & Yang Nie & Liangzhen Huang, 2022. "China’s Transport Land: Spatiotemporal Expansion Characteristics and Driving Mechanism," Land, MDPI, vol. 11(8), pages 1-18, July.
    2. Junmei Kang & Zhihua Wang & Hongbin Cheng & Jun Wang & Xiaoliang Liu, 2022. "Remote Sensing Land Use Evolution in Earthquake-Stricken Regions of Wenchuan County, China," Sustainability, MDPI, vol. 14(15), pages 1-23, August.
    3. Jianhui Dong & Wenju Yun & Kening Wu & Shaoshuai Li & Bingrui Liu & Qiaoyuan Lu, 2023. "Spatio-Temporal Analysis of Cultivated Land from 2010 to 2020 in Long’an County, Karst Region, China," Land, MDPI, vol. 12(2), pages 1-22, February.
    4. Nan Wang & Peijuan Zhu & Guohua Zhou & Xudong Xing & Yong Zhang, 2022. "Multi-Scenario Simulation of Land Use and Landscape Ecological Risk Response Based on Planning Control," IJERPH, MDPI, vol. 19(21), pages 1-29, November.
    5. Shengqiang Yang & Donglin Li & Heping Liao & Lin Zhu & Miaomiao Zhou & Zhicong Cai, 2023. "Analysis of the Balance between Supply and Demand of Arable Land in China Based on Food Security," Sustainability, MDPI, vol. 15(7), pages 1-16, March.

    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. Guadalupe Azuara García & Efrén Palacios Rosas & Alfonso García-Ferrer & Pilar Montesinos Barrios, 2017. "Multi-Objective Spatial Optimization: Sustainable Land Use Allocation at Sub-Regional Scale," Sustainability, MDPI, vol. 9(6), pages 1-21, June.
    2. Yujiang Yan & Jiangui Li & Junli Li & Teng Jiang, 2023. "Spatio-Temporal Measurement and Driving Factor Analysis of Ecosystem Service Trade-Offs and Synergy in the Kaidu–Kongque River Basin, Xinjiang, China," Sustainability, MDPI, vol. 15(16), pages 1-14, August.
    3. Brian Pickard & Joshua Gray & Ross Meentemeyer, 2017. "Comparing Quantity, Allocation and Configuration Accuracy of Multiple Land Change Models," Land, MDPI, vol. 6(3), pages 1-21, August.
    4. Xuesong Feng & Zhibin Tao & Xuejun Niu & Zejing Ruan, 2021. "Multi-Objective Land Use Allocation Optimization in View of Overlapped Influences of Rail Transit Stations," Sustainability, MDPI, vol. 13(23), pages 1-14, November.
    5. Jing Yao & Xiaoxiang Zhang & Alan T. Murray, 2018. "Spatial Optimization for Land-use Allocation," International Regional Science Review, , vol. 41(6), pages 579-600, November.
    6. Ji Chai & Zhanqi Wang & Hongwei Zhang, 2017. "Integrated Evaluation of Coupling Coordination for Land Use Change and Ecological Security: A Case Study in Wuhan City of Hubei Province, China," IJERPH, MDPI, vol. 14(11), pages 1-21, November.
    7. Lippe, Rattiya Suddeephong & Ojeda Luna, Tatiana & Katajamäki, Waltteri & Schweinle, Jörg, 2023. "Labour informality in forestry: A longitudinal (2009–2020) cross-country analysis of determinants in 70 developing countries," Forest Policy and Economics, Elsevier, vol. 156(C).
    8. Yee, Susan H. & Paulukonis, E. & Simmons, C. & Russell, M. & Fulford, R. & Harwell, L. & Smith, L.M., 2021. "Projecting effects of land use change on human well-being through changes in ecosystem services," Ecological Modelling, Elsevier, vol. 440(C).
    9. Wickramasuriya, Rohan Chandralal & Bregt, Arnold K. & van Delden, Hedwig & Hagen-Zanker, Alex, 2009. "The dynamics of shifting cultivation captured in an extended Constrained Cellular Automata land use model," Ecological Modelling, Elsevier, vol. 220(18), pages 2302-2309.
    10. Xue Zhou & Yang Zhou, 2021. "Spatio-Temporal Variation and Driving Forces of Land-Use Change from 1980 to 2020 in Loess Plateau of Northern Shaanxi, China," Land, MDPI, vol. 10(9), pages 1-17, September.
    11. Xinhai Lu & Yifeng Tang & Shangan Ke, 2021. "Does the Construction and Operation of High-Speed Rail Improve Urban Land Use Efficiency? Evidence from China," Land, MDPI, vol. 10(3), pages 1-15, March.
    12. Akopov, Andranik S. & Beklaryan, Levon A. & Saghatelyan, Armen K., 2017. "Agent-based modelling for ecological economics: A case study of the Republic of Armenia," Ecological Modelling, Elsevier, vol. 346(C), pages 99-118.
    13. Yuping Bai & Zhe Zhao & Chuyao Weng & Wenxuan Wang & Yecui Hu, 2021. "Scenario-Based Analysis of Land Use Competition and Sustainable Land Development in Zhangye of the Heihe River Basin, China," IJERPH, MDPI, vol. 18(19), pages 1-20, October.
    14. Dietz, Julia & Treydte, Anna Christina & Lippe, Melvin, 2023. "Exploring the future of Kafue National Park, Zambia: Scenario-based land use and land cover modelling to understand drivers and impacts of deforestation," Land Use Policy, Elsevier, vol. 126(C).
    15. Behnoosh Abbasnezhad & Jesse B. Abrams & Jeffrey Hepinstall-Cymerman, 2023. "Incorporating Social and Policy Drivers into Land-Use and Land-Cover Projection," Sustainability, MDPI, vol. 15(19), pages 1-18, September.
    16. Xiaoqing Zhao & Sinan Li & Junwei Pu & Peipei Miao & Qian Wang & Kun Tan, 2019. "Optimization of the National Land Space Based on the Coordination of Urban-Agricultural-Ecological Functions in the Karst Areas of Southwest China," Sustainability, MDPI, vol. 11(23), pages 1-20, November.
    17. Jingjie Liu & Min Xia, 2023. "Influencing Factors Analysis and Optimization of Land Use Allocation: Combining MAS with MOPSO Procedure," Sustainability, MDPI, vol. 15(2), pages 1-17, January.
    18. Hao Xu & Yeqing Wang & Hongwei Liu & Ronglu Yang, 2020. "Environmental Efficiency Measurement and Convergence Analysis of Interprovincial Road Transport in China," Sustainability, MDPI, vol. 12(11), pages 1-16, June.
    19. Yanhua Xie & Mitch Hunter & Ann Sorensen & Theresa Nogeire-McRae & Ryan Murphy & Justin P. Suraci & Stacy Lischka & Tyler J. Lark, 2023. "U.S. Farmland under Threat of Urbanization: Future Development Scenarios to 2040," Land, MDPI, vol. 12(3), pages 1-19, February.
    20. Chuchu Zhang & Peng Wang & Pingsheng Xiong & Chunhong Li & Bin Quan, 2021. "Spatial Pattern Simulation of Land Use Based on FLUS Model under Ecological Protection: A Case Study of Hengyang City," Sustainability, MDPI, vol. 13(18), pages 1-18, September.

    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:4:p:587-:d:796114. 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.