IDEAS home Printed from https://ideas.repec.org/a/spr/endesu/v26y2024i2d10.1007_s10668-022-02767-9.html
   My bibliography  Save this article

Toward potential area identification for land consolidation and ecological restoration: an integrated framework via land use optimization

Author

Listed:
  • Runjia Yang

    (Zhejiang University)

  • Sha Chen

    (Zhejiang University of Finance and Economics)

  • Yanmei Ye

    (Zhejiang University
    Zhejiang University)

Abstract

Area identification is an important prerequisite for land consolidation and ecological restoration (LCER); the realization of an optimized land use pattern is the key link of land use optimization. This study meets the dual requirements by establishing an identification framework for potential LCER areas. The framework is applied to the Yellow River Basin with the help of the multi-objective linear programming (MOLP) model and patch-generating land use simulating (PLUS) model, which effectively connects the “ideal” land use pattern with the “practical” LCER. The main conclusions are as follows. (1) The land development probability of the basin shows a significant spatial differentiation. Precipitation significantly restricts the development of agricultural and ecological lands, and the population is the key factor affecting the construction land. (2) The construction land sprawl, cropland loss, and grassland reduction would be effectively controlled in the optimized land use pattern, with the forestland and water increasing and the unused land area decreasing. (3) The framework of “land expansion analysis-land use optimization-potential area identification” is established and used to identify LCER areas, including four conversion areas of cropland development, cropland retirement, ecological reconstruction, ecological readjustment, and four non-conversion areas of cropland improvement, ecological conservation, and reserve resource area (I,II). Conversion areas require more LCER interventions than non-conversion areas. The spread of construction land could lead to severe losses of grassland and cropland under the natural development scenario. Land use optimization effectively protects cropland and ecological land, based on which identifying LCER areas and adapting differentiated measures contribute to implementing such conservation while improving the basin’s economic and ecological benefits. The identification framework provides flexible method guidance for determining the LCER areas, and offers a reference path for realizing optimized land use structure and pattern.

Suggested Citation

  • Runjia Yang & Sha Chen & Yanmei Ye, 2024. "Toward potential area identification for land consolidation and ecological restoration: an integrated framework via land use optimization," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(2), pages 3127-3146, February.
    • Handle: RePEc:spr:endesu:v:26:y:2024:i:2:d:10.1007_s10668-022-02767-9
    DOI: 10.1007/s10668-022-02767-9
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10668-022-02767-9
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10668-022-02767-9?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Kevin Summers & Andrea Lamper & Kyle Buck, 2021. "National Hazards Vulnerability and the Remediation, Restoration and Revitalization of Contaminated Sites—2. RCRA Sites," Sustainability, MDPI, vol. 13(2), pages 1-16, January.
    2. Peltonen-Sainio, Pirjo & Jauhiainen, Lauri & Laurila, Heikki & Sorvali, Jaana & Honkavaara, Eija & Wittke, Samantha & Karjalainen, Mika & Puttonen, Eetu, 2019. "Land use optimization tool for sustainable intensification of high-latitude agricultural systems," Land Use Policy, Elsevier, vol. 88(C).
    3. Huang, Yaofu & Hui, Eddie C.M. & Zhou, Jinmiao & Lang, Wei & Chen, Tingting & Li, Xun, 2020. "Rural Revitalization in China: Land-Use Optimization through the Practice of Place-making," Land Use Policy, Elsevier, vol. 97(C).
    4. Wu, Xutong & Wang, Shuai & Fu, Bojie & Liu, Yu & Zhu, Yuan, 2018. "Land use optimization based on ecosystem service assessment: A case study in the Yanhe watershed," Land Use Policy, Elsevier, vol. 72(C), pages 303-312.
    5. Huang, Daquan & Huang, Jing & Liu, Tao, 2019. "Delimiting urban growth boundaries using the CLUE-S model with village administrative boundaries," Land Use Policy, Elsevier, vol. 82(C), pages 422-435.
    6. Chen, Lili & Zhao, Hongsheng & Song, Ge & Liu, Ye, 2021. "Optimization of cultivated land pattern for achieving cultivated land system security: A case study in Heilongjiang Province, China," Land Use Policy, Elsevier, vol. 108(C).
    7. Xu, Hongtao & Song, Youcheng & Tian, Yi, 2022. "Simulation of land-use pattern evolution in hilly mountainous areas of North China: A case study in Jincheng," Land Use Policy, Elsevier, vol. 112(C).
    Full references (including those not matched with items on IDEAS)

    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. Wang, Yafei & He, Yao & Fan, Jie & Olsson, Lennart & Scown, Murray, 2024. "Balancing urbanization, agricultural production and ecological integrity: A cross-scale landscape functional and structural approach in China," Land Use Policy, Elsevier, vol. 141(C).
    2. Haitao Ji & Xiaoshun Li & Yiwei Geng & Xin Chen & Yuexiang Wang & Jumei Cheng & Zhuang Chen, 2023. "Delineation of Urban Development Boundary and Carbon Emission Effects in Xuzhou City, China," Land, MDPI, vol. 12(9), pages 1-16, September.
    3. Yue Su & Chong Su & Yan Xie & Tan Li & Yongjun Li & Yuanyuan Sun, 2022. "Controlling Non-Grain Production Based on Cultivated Land Multifunction Assessment," IJERPH, MDPI, vol. 19(3), pages 1-17, January.
    4. Martina Slámová & Alexandra Kruse & Ingrid Belčáková & Johannes Dreer, 2021. "Old but Not Old Fashioned: Agricultural Landscapes as European Heritage and Basis for Sustainable Multifunctional Farming to Earn a Living," Sustainability, MDPI, vol. 13(9), pages 1-22, April.
    5. Yang Zhang & Xiaojiang Xia & Jiandong Li & Luge Xing & Chengchao Yang & Haofeng Wang & Xiaoai Dai & Jue Wang, 2024. "Simulation of Urban Growth Boundary under the Guidance of Stock Development: A Case Study of Wuhan City," Land, MDPI, vol. 13(8), pages 1-22, July.
    6. Xiaoyi Wang & Lifu Chai & Sidong Zeng & Jianbin Su & Bin Ye & Haishen Lü & Changqing Chen & Junfu Gong & Mingwen Liu & Xiaoqing Wang & Shiliang Zhou, 2024. "Evaluating Cultivated Reserved Land Resources in a Highly Urbanized Region of China: A Case Study in Haishu District, Ningbo City," Land, MDPI, vol. 13(9), pages 1-20, September.
    7. Xiaowei Yao & Ting Luo & Yingjun Xu & Wanxu Chen & Jie Zeng, 2022. "Prediction of Spatiotemporal Changes in Sloping Cropland in the Middle Reaches of the Yangtze River Region under Different Scenarios," IJERPH, MDPI, vol. 20(1), pages 1-22, December.
    8. Jieying Yang & Li Yu & Jingxiang Zhang, 2024. "Impacts on Rural Community Development and Governance by Different Land Ownership: A Comparative Study Based on Two Villages in China," The European Journal of Development Research, Palgrave Macmillan;European Association of Development Research and Training Institutes (EADI), vol. 36(6), pages 1616-1635, December.
    9. Wei-Ling Hsu & Zhicheng Zhuang & Cheng Li & Jie Zhao, 2025. "Optimization of Land Use Patterns in a Typical Coal Resource-Based City Based on the Ecosystem Service Relationships of ‘Food–Carbon–Recreation’," Land, MDPI, vol. 14(3), pages 1-19, March.
    10. Xinmin Zhang & Hualin Xie & Jiaying Shi & Tiangui Lv & Caihua Zhou & Wangda Liu, 2020. "Assessing Changes in Ecosystem Service Values in Response to Land Cover Dynamics in Jiangxi Province, China," IJERPH, MDPI, vol. 17(9), pages 1-15, April.
    11. Yajing Zhang & Ruifang Hao & Yu Qin, 2024. "Temporal and Spatial Variation of Agricultural and Pastoral Production in the Eastern Section of the Agro-Pastoral Transitional Zone in Northern China," Agriculture, MDPI, vol. 14(6), pages 1-14, May.
    12. Changqing Sun & Yulong Bao & Battsengel Vandansambuu & Yuhai Bao, 2022. "Simulation and Prediction of Land Use/Cover Changes Based on CLUE-S and CA-Markov Models: A Case Study of a Typical Pastoral Area in Mongolia," Sustainability, MDPI, vol. 14(23), pages 1-21, November.
    13. Yusuyunjiang Mamitimin & Zibibula Simayi & Ayinuer Mamat & Bumairiyemu Maimaiti & Yunfei Ma, 2023. "FLUS Based Modeling of the Urban LULC in Arid and Semi-Arid Region of Northwest China: A Case Study of Urumqi City," Sustainability, MDPI, vol. 15(6), pages 1-14, March.
    14. Anna Jiang & Wanshun Zhang & Feng Zhou & Hong Peng & Xin Liu & Yue Wang & Xiao Zhang, 2023. "Quantitative Assessment of Spatial–Temporal Characteristics of Agricultural Development Level in China: A County-Level Analysis," Sustainability, MDPI, vol. 15(22), pages 1-20, November.
    15. Kärkkäinen, Leena & Lehtonen, Heikki & Helin, Janne & Lintunen, Jussi & Peltonen-Sainio, Pirjo & Regina, Kristiina & Uusivuori, Jussi & Packalen, Tuula, 2020. "Evaluation of policy instruments for supporting greenhouse gas mitigation efforts in agricultural and urban land use," Land Use Policy, Elsevier, vol. 99(C).
    16. Xiaoyang Liu & Weihao Shi & Sen Zhang, 2022. "Progress of Research on Urban Growth Boundary and Its Implications in Chinese Studies Based on Bibliometric Analysis," IJERPH, MDPI, vol. 19(24), pages 1-18, December.
    17. Sun, Xueqing & Xiang, Pengcheng & Cong, Kexin, 2023. "Research on early warning and control measures for arable land resource security," Land Use Policy, Elsevier, vol. 128(C).
    18. Li, Xiaoliang & Wu, Kening & Yang, Qijun & Hao, Shiheng & Feng, Zhe & Ma, Jinliang, 2023. "Quantitative assessment of cultivated land use intensity in Heilongjiang Province, China, 2001–2015," Land Use Policy, Elsevier, vol. 125(C).
    19. Somayeh Ahani & Hashem Dadashpoor, 2021. "Urban growth containment policies for the guidance and control of peri-urbanization: a review and proposed framework," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(10), pages 14215-14244, October.
    20. Ming Zhang & Xiaojie Liu & Dan Yan, 2023. "Land Use Conflicts Assessment in Xiamen, China under Multiple Scenarios," Land, MDPI, vol. 12(2), pages 1-16, 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:spr:endesu:v:26:y:2024:i:2:d:10.1007_s10668-022-02767-9. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.