IDEAS home Printed from https://ideas.repec.org/a/eee/lauspo/v169y2026ics0264837726001948.html

Balancing growth and conservation: Land-use policy scenarios for Uruguay’s grasslands

Author

Listed:
  • Schweikart, Melanie
  • Ramírez, Leonardo R.
  • Säumel, Ina

Abstract

Land-use scenario simulations support policy decisions that seek to balance economic development with environmental conservation. In Uruguay’s Río de la Plata temperate grasslands, agribusiness expansion has driven land-use intensification, threatening biodiversity, ecosystem services, and rural livelihoods. This study integrates land-use data from 2000 to 2015 with explanatory variables in a multi-layer perceptron Markov model to predict vulnerability to change and land-use patterns for 2030 under three scenarios: business-as-usual, multifunctional land use, and grassland conservation. Under continued intensification, native grasslands are predicted to decline by 9% to a land cover of 51% by 2030, with cropland expansion accounting for 80% of the loss. Reducing cropland expansion and maintaining timber plantations at 2015 levels could preserve grassland cover at 57%, corresponding to more than 10,000 km² compared to the business-as-usual scenario. Except for a northern area with comparatively low conflict potential, approximately two-thirds of Uruguay remain highly susceptible to agricultural conversion. Applying 90 m and 180 m conservation buffers around sensitive areas may reduce agricultural spillover and enhance ecosystem service provision. Implementing 90 m protection buffers substantially curtails cropland expansion within designated areas, resulting in a 139% relative difference in net cropland change compared to the business as usual scenario. By providing high-resolution vulnerability assessments and policy-relevant insights, this study supports evidence-based land-use planning and highlights how targeted conservation measures can help navigate trade-offs between agricultural development and ecological resilience at national and local scales.

Suggested Citation

  • Schweikart, Melanie & Ramírez, Leonardo R. & Säumel, Ina, 2026. "Balancing growth and conservation: Land-use policy scenarios for Uruguay’s grasslands," Land Use Policy, Elsevier, vol. 169(C).
  • Handle: RePEc:eee:lauspo:v:169:y:2026:i:c:s0264837726001948
    DOI: 10.1016/j.landusepol.2026.108110
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0264837726001948
    Download Restriction: Full text may be restricted for ScienceDirect subscribers

    File URL: https://libkey.io/10.1016/j.landusepol.2026.108110?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Andong Guo & Yuqing Zhang & Qing Hao, 2020. "Monitoring and Simulation of Dynamic Spatiotemporal Land Use/Cover Changes," Complexity, Hindawi, vol. 2020, pages 1-12, June.
    2. Megersa Kebede Leta & Tamene Adugna Demissie & Jens Tränckner, 2021. "Modeling and Prediction of Land Use Land Cover Change Dynamics Based on Land Change Modeler (LCM) in Nashe Watershed, Upper Blue Nile Basin, Ethiopia," Sustainability, MDPI, vol. 13(7), pages 1-24, March.
    3. de Freitas, Marcos Wellausen Dias & Muñoz, Pablo & dos Santos, João Roberto & Alves, Diógenes Salas, 2018. "Land use and cover change modelling and scenarios in the Upper Uruguay Basin (Brazil)," Ecological Modelling, Elsevier, vol. 384(C), pages 128-144.
    4. Emiliano Travieso, 2023. "Soils, scale, or elites? Biological innovation in Uruguayan cattle farming, 1880–1913," Economic History Review, Economic History Society, vol. 76(2), pages 498-524, May.
    5. Sarah Hasan & Wenzhong Shi & Xiaolin Zhu & Sawaid Abbas & Hafiz Usman Ahmed Khan, 2020. "Future Simulation of Land Use Changes in Rapidly Urbanizing South China Based on Land Change Modeler and Remote Sensing Data," Sustainability, MDPI, vol. 12(11), pages 1-24, May.
    6. Charlotte Shade & Peleg Kremer, 2019. "Predicting Land Use Changes in Philadelphia Following Green Infrastructure Policies," Land, MDPI, vol. 8(2), pages 1-19, February.
    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. Motuma Shiferaw Regasa & Michael Nones, 2022. "Past and Future Land Use/Land Cover Changes in the Ethiopian Fincha Sub-Basin," Land, MDPI, vol. 11(8), pages 1-20, August.
    2. Bhatia, Samarth Y. & Gadiya, Kirtesh & Patil, Gopal R. & Krishna Mohan, Buddhiraju, 2024. "Thresholding-based cellular automata for transportation network derived future urban growth patterns in a peri-urban area," Transport Policy, Elsevier, vol. 148(C), pages 40-55.
    3. Hailay Hagos Entahabu & Amare Sewnet Minale & Emiru Birhane, 2023. "Modeling and Predicting Land Use/Land Cover Change Using the Land Change Modeler in the Suluh River Basin, Northern Highlands of Ethiopia," Sustainability, MDPI, vol. 15(10), pages 1-15, May.
    4. Sonu Thaivalappil Sukumaran & Stephen J. Birkinshaw, 2024. "Investigating the Impact of Recent and Future Urbanization on Flooding in an Indian River Catchment," Sustainability, MDPI, vol. 16(13), pages 1-22, July.
    5. Bernard Fosu Frimpong & Frank Molkenthin, 2021. "Tracking Urban Expansion Using Random Forests for the Classification of Landsat Imagery (1986–2015) and Predicting Urban/Built-Up Areas for 2025: A Study of the Kumasi Metropolis, Ghana," Land, MDPI, vol. 10(1), pages 1-21, January.
    6. Rifat, Shaikh Abdullah Al & Liu, Weibo, 2022. "Predicting future urban growth scenarios and potential urban flood exposure using Artificial Neural Network-Markov Chain model in Miami Metropolitan Area," Land Use Policy, Elsevier, vol. 114(C).
    7. Alule, RJ & Nuwategeka, E & Oriangi, G, 2023. "Assessment of population dynamics and forest cover change in Yumba district, Uganda," African Journal of Food, Agriculture, Nutrition and Development (AJFAND), African Journal of Food, Agriculture, Nutrition and Development (AJFAND), vol. 23(5), May.
    8. Harik, G. & Alameddine, I. & Zurayk, R. & El-Fadel, M., 2023. "Uncertainty in forecasting land cover land use at a watershed scale: Towards enhanced sustainable land management," Ecological Modelling, Elsevier, vol. 486(C).
    9. Belay Z. Abate & Tewodros T. Assefa & Tibebe B. Tigabu & Wubneh B. Abebe & Li He, 2023. "Hydrological Modeling of the Kobo-Golina River in the Data-Scarce Upper Danakil Basin, Ethiopia," Sustainability, MDPI, vol. 15(4), pages 1-23, February.
    10. Andrew Primmer, 2025. "Mismanagement amid resource abundance: Sovereign risk, private sector credit rationing, and economic stagnation in Colombia, 1861‒98," Economic History Review, Economic History Society, vol. 78(4), pages 1118-1150, November.
    11. Yang Zhang & Nazhalati Naerkezi & Yun Zhang & Bo Wang, 2024. "Multi-Scenario Land Use/Cover Change and Its Impact on Carbon Storage Based on the Coupled GMOP-PLUS-InVEST Model in the Hexi Corridor, China," Sustainability, MDPI, vol. 16(4), pages 1-22, February.
    12. Megersa Kebede Leta & Tamene Adugna Demissie & Jens Tränckner, 2021. "Modeling and Prediction of Land Use Land Cover Change Dynamics Based on Land Change Modeler (LCM) in Nashe Watershed, Upper Blue Nile Basin, Ethiopia," Sustainability, MDPI, vol. 13(7), pages 1-24, March.
    13. Ayazli, Ismail Ercument, 2024. "Investigating the interactions between spatiotemporal land use/land cover dynamics and private land ownership," Land Use Policy, Elsevier, vol. 141(C).
    14. Yajun Ma & Ping Zhang & Kaixu Zhao & Yong Zhou & Sidong Zhao, 2022. "A Dynamic Performance and Differentiation Management Policy for Urban Construction Land Use Change in Gansu, China," Land, MDPI, vol. 11(6), pages 1-31, June.
    15. Ibra Lebbe Mohamed Zahir & Sunethra Thennakoon & Rev. Pinnawala Sangasumana & Jayani Herath & Buddhika Madurapperuma & Atham Lebbe Iyoob, 2021. "Spatiotemporal Land-Use Changes of Batticaloa Municipal Council in Sri Lanka from 1990 to 2030 Using Land Change Modeler," Geographies, MDPI, vol. 1(3), pages 1-12, September.
    16. Nematollah Kohestani & Shafagh Rastgar & Ghodratolla Heydari & Shaban Shataee Jouibary & Hamid Amirnejad, 2024. "Spatiotemporal modeling of the value of carbon sequestration under changing land use/land cover using InVEST model: a case study of Nour-rud Watershed, Northern Iran," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(6), pages 14477-14505, June.
    17. Yilun Zhao & Yan Rong & Yiyi Liu & Tianshu Lin & Liangji Kong & Qinqin Dai & Runzi Wang, 2023. "Investigating Urban Flooding and Nutrient Export under Different Urban Development Scenarios in the Rouge River Watershed in Michigan, USA," Land, MDPI, vol. 12(12), pages 1-25, December.
    18. Diana Dushkova & Annegret Haase & Manuel Wolff & Dagmar Haase, 2021. "Editorial for Special Issue “Nature-Based Solutions (NBS) in Cities and Their Interactions with Urban Land, Ecosystems, Built Environments and People: Debating Societal Implications”," Land, MDPI, vol. 10(9), pages 1-7, September.
    19. Markos Mathewos & Semaria Moga Lencha & Misgena Tsegaye, 2022. "Land Use and Land Cover Change Assessment and Future Predictions in the Matenchose Watershed, Rift Valley Basin, Using CA-Markov Simulation," Land, MDPI, vol. 11(10), pages 1-28, September.
    20. Jie Chen & Ruijie Shi & Geng Sun & Ya Guo & Min Deng & Xiuyuan Zhang, 2023. "Simulation-Based Optimization of the Urban Thermal Environment through Local Climate Zones Reorganization in Changsha City, China with the FLUS Model," Sustainability, MDPI, vol. 15(16), pages 1-28, August.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:169:y:2026:i:c:s0264837726001948. 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.