IDEAS home Printed from https://ideas.repec.org/a/eee/lauspo/v141y2024ics0264837724001091.html
   My bibliography  Save this article

Balancing urbanization, agricultural production and ecological integrity: A cross-scale landscape functional and structural approach in China

Author

Listed:
  • Wang, Yafei
  • He, Yao
  • Fan, Jie
  • Olsson, Lennart
  • Scown, Murray

Abstract

Projecting land-use allocation under various scenarios can be useful for reconciling conflicts between urbanization, food security, and ecological integrity throughout landscapes, but existing approaches often fail to capture the interactions in land systems that occur across scales and within and between hierarchical jurisdictions of societal organization. This article introduces a cross-scale functional and structural approach for balancing trade-offs in landscape planning and sustainable land management at multiple levels, based on the principles of multifunctional suitability. Using Heilongjiang Province in China as a case, we simulate four landscape scenarios that progressively consider cross-scale and inter-regional trade-offs more broadly, as well as local suitability. In the business-as-usual (BAU) scenario, no multifunctionality objectives are considered at any level; in the own-provincial scale (OPS) scenario, intra-province multifunctionality objectives are considered; the national and provincial scales (NPS) scenario considers multifunctionality within and beyond the province; while the desired land-use (DLU) scenario balances cross-scale multifunctionality while also optimizing for local functional suitability. Promoting multifunctionality as desirable, and evaluated based on minimizing functional land loss, the DLU scenario significantly outperforms the BAU scenario. The results indicate that the DLU scenario outperforms BAU, OPL, and NPS in optimizing urban and cropland layout, and preserving ecosystem integrity. It reduces high-quality arable land loss by 6.5% and minimizes the impact on ecological function areas by 12%, surpassing the BAU scenario. In contrast to the OPS and NPS scenarios, the DLU scenario exhibits a 6% and 2% increase in population and economic agglomeration within the Harbin-Daqing-Suihua (HDS) city cluster, a pivotal component of the national urbanization strategy. Furthermore, it enhances grain production capacity in the national grain-producing area, the Sanjiang Plain (SJP), with 9% and 12% boosts, respectively. Additionally, the DLU scenario expands the ecologically significant area, showing a 3.6% and 1% improvement in the Greater and Lesser Khingan Mountains (GLKM), nationally vital ecological service function areas. These advantages of the DLU scenario are expected to become more pronounced over time. The novel theoretical approach and modelling framework introduced in this study can serve as inspiration elsewhere for reconciling future land-use trade-offs and planning decisions across scales.

Suggested Citation

  • 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).
  • Handle: RePEc:eee:lauspo:v:141:y:2024:i:c:s0264837724001091
    DOI: 10.1016/j.landusepol.2024.107156
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0264837724001091
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.landusepol.2024.107156?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. Oléron-Evans, Thomas P. & Salhab, Melda, 2021. "Optimal land use allocation for the Heathrow opportunity area using multi-objective linear programming," Land Use Policy, Elsevier, vol. 105(C).
    2. Patrick Meyfroidt & Florian Schierhorn & Alexander Vladimirovich Prishchepov & Daniel Muller & Tobias Kuemmerle, 2016. "Drivers, Constraints and Trade-Offs Associated with Recultivating Abandoned Cropland in Russia, Ukraine and Kazakhstan," Spatial Economics=Prostranstvennaya Ekonomika, Economic Research Institute, Far Eastern Branch, Russian Academy of Sciences (Khabarovsk, Russia), issue 2, pages 55-103.
    3. Lennart Olsson & Anne Jerneck, 2010. "Farmers fighting climate change—from victims to agents in subsistence livelihoods," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 1(3), pages 363-373, May.
    4. Marull, Joan & Torabi, Parisa & Padró, Roc & Alabert, Aureli & La Rota, Maria José & Serrano, Tarik, 2020. "Energy-Landscape Optimization for Land Use Planning. Application in the Barcelona Metropolitan Area," Ecological Modelling, Elsevier, vol. 431(C).
    5. Sun, Qiangqiang & Zhang, Ping & Jiang, Wanbei & Qu, Wei & Sun, Yanan & Sun, Danfeng, 2022. "Navigating local environment and scientific knowledge in dryland social-ecological systems through linking ecological policy-household interactions with land surface dynamics," Land Use Policy, Elsevier, vol. 112(C).
    6. Chen, Hang & Meng, Fei & Yu, Zhenning & Tan, Yongzhong, 2022. "Spatial–temporal characteristics and influencing factors of farmland expansion in different agricultural regions of Heilongjiang Province, China," Land Use Policy, Elsevier, vol. 115(C).
    7. Ustaoglu, E. & Aydınoglu, A.C., 2020. "Suitability evaluation of urban construction land in Pendik district of Istanbul, Turkey," Land Use Policy, Elsevier, vol. 99(C).
    8. 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).
    9. Lippe, Melvin & Rummel, Lisa & Günter, Sven, 2022. "Simulating land use and land cover change under contrasting levels of policy enforcement and its spatially-explicit impact on tropical forest landscapes in Ecuador," Land Use Policy, Elsevier, vol. 119(C).
    10. Pennington, Derric N. & Dalzell, Brent & Nelson, Erik & Mulla, David & Taff, Steve & Hawthorne, Peter & Polasky, Stephen, 2017. "Cost-effective Land Use Planning: Optimizing Land Use and Land Management Patterns to Maximize Social Benefits," Ecological Economics, Elsevier, vol. 139(C), pages 75-90.
    11. Wang, Jieyong & Zhang, Ziwen & Liu, Yansui, 2018. "Spatial shifts in grain production increases in China and implications for food security," Land Use Policy, Elsevier, vol. 74(C), pages 204-213.
    12. Gomes, L.C. & Bianchi, F.J.J.A. & Cardoso, I.M. & Schulte, R.P.O. & Arts, B.J.M. & Fernandes Filho, E.I., 2020. "Land use and land cover scenarios: An interdisciplinary approach integrating local conditions and the global shared socioeconomic pathways," Land Use Policy, Elsevier, vol. 97(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. Qi Sun & Ruitong Qiao & Quanjun Jiao & Huimin Xing & Can Wang & Xinyu Zhu & Wenjiang Huang & Bing Zhang, 2024. "Response of Ecological Quality to Land Use/Cover Change During Rapid Urbanization of Xiong’an New Area," Land, MDPI, vol. 13(12), pages 1-21, December.

    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. Mu Lin & Jingxin Gao & Yongjie Du & Pengyu Ren, 2023. "Mismatch in Urban Construction Land Use and Economic Growth: Empirical Evidence from China," Land, MDPI, vol. 12(2), pages 1-21, February.
    2. 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).
    3. Hou, Dawei & Meng, Fanhao & Ji, Chao & Xie, Li & Zhu, Wenjuan & Wang, Shizhong & Sun, Hua, 2022. "Linking food production and environmental outcomes: An application of a modified relative risk model to prioritize land-management practices," Agricultural Systems, Elsevier, vol. 196(C).
    4. da Costa Lima Pires, Pâmela & da Silva César, Aldara & Cardoso, Alexandre Nunes & Favaro, Simone Palma & Conejero, Marco Antonio, 2023. "Strategies to improve the competitiveness of an agroindustrial system for a macauba based oil production in Minas Gerais State, Brazil," Land Use Policy, Elsevier, vol. 126(C).
    5. Shixiong Song & Siyuan Zhao & Ye Zhang & Yongxi Ma, 2023. "Carbon Emissions from Agricultural Inputs in China over the Past Three Decades," Agriculture, MDPI, vol. 13(5), pages 1-12, April.
    6. Pirjo Peltonen-Sainio & Lauri Jauhiainen, 2019. "Risk of Low Productivity is Dependent on Farm Characteristics: How to Turn Poor Performance into an Advantage," Sustainability, MDPI, vol. 11(19), pages 1-17, October.
    7. Cao, Jianjun & Wei, Chen & Adamowski, Jan F. & Zhou, Junju & Liu, Chunfang & Zhu, Guofeng & Dong, Xiaogang & Zhang, Xiaofang & Zhao, Huijun & Feng, Qi, 2020. "Could arid and semi-arid abandoned lands prove ecologically or economically valuable if they afford greater soil organic carbon storage than afforested lands in China’s Loess Plateau?," Land Use Policy, Elsevier, vol. 99(C).
    8. Anne Jerneck, 2018. "What about Gender in Climate Change? Twelve Feminist Lessons from Development," Sustainability, MDPI, vol. 10(3), pages 1-20, February.
    9. Ostapchuk, Igor & Gagalyuk, Taras & Curtiss, Jarmila, 2021. "Post-acquisition integration and growth of farms: the case of Ukrainian agroholdings," International Food and Agribusiness Management Review, International Food and Agribusiness Management Association, vol. 24(4), April.
    10. Andrei Kirilenko & Nikolai Dronin, 2022. "Recent grain production boom in Russia in historical context," Climatic Change, Springer, vol. 171(3), pages 1-19, April.
    11. Yu, Zhenning & She, Shuoqi & Xia, Chuyu & Luo, Jiaojiao, 2023. "How to solve the dilemma of China’s land fallow policy: Application of voluntary bidding mode in the Yangtze River Delta of China," Land Use Policy, Elsevier, vol. 125(C).
    12. 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.
    13. Cegielska, Katarzyna & Noszczyk, Tomasz & Kukulska, Anita & Szylar, Marta & Hernik, Józef & Dixon-Gough, Robert & Jombach, Sándor & Valánszki, István & Filepné Kovács, Krisztina, 2018. "Land use and land cover changes in post-socialist countries: Some observations from Hungary and Poland," Land Use Policy, Elsevier, vol. 78(C), pages 1-18.
    14. Ustaoglu, E. & Sisman, S. & Aydınoglu, A.C., 2021. "Determining agricultural suitable land in peri-urban geography using GIS and Multi Criteria Decision Analysis (MCDA) techniques," Ecological Modelling, Elsevier, vol. 455(C).
    15. Karner, Katrin & Mitter, Hermine & Sinabell, Franz & Schönhart, Martin, 2024. "Participatory development of Shared Socioeconomic Pathways for Austria’s agriculture and food systems," Land Use Policy, Elsevier, vol. 142(C).
    16. Jian, Yuqing & Liu, Zhengjia & Gong, Jianzhou, 2022. "Response of landscape dynamics to socio-economic development and biophysical setting across the farming-pastoral ecotone of northern China and its implications for regional sustainable land management," Land Use Policy, Elsevier, vol. 122(C).
    17. 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).
    18. T. G. Nefedova, 2017. "Twenty-five years of Russia’s post-Soviet agriculture: Geographical trends and contradictions," Regional Research of Russia, Springer, vol. 7(4), pages 311-321, October.
    19. Chang You & Hongjiao Qu & Shidong Zhang & Luo Guo, 2024. "Assessment of Uncertainties in Ecological Risk Based on the Prediction of Land Use Change and Ecosystem Service Evolution," Land, MDPI, vol. 13(4), pages 1-21, April.
    20. Yuxiang Ma & Min Zhou & Chaonan Ma & Mengcheng Wang & Jiating Tu, 2021. "Hybrid Economic-Environment-Ecology Land Planning Model under Uncertainty—A Case Study in Mekong Delta," Sustainability, MDPI, vol. 13(19), pages 1-22, October.

    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:eee:lauspo:v:141:y:2024:i:c:s0264837724001091. 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: Joice Jiang (email available below). General contact details of provider: https://www.journals.elsevier.com/land-use-policy .

    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.