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Revisiting the dynamic simulation model of land-use changes in the Sudano-sahelian countries of Africa (SALU): An open-access application to Senegal

Author

Listed:
  • Dupré, Anem
  • Raynal, Paul-Alain
  • Gounand, Isabelle
  • Pierre, Caroline

Abstract

In the Sahel, the sustainability of human land-use is threatened by climate change and demographic pressure. Research is urgently needed to provide governments with relevant leads to prevent land degradation and ensure the population access to resources such as food and fuelwood. Little observation data is available, and canonical land-use models have difficulty representing Sahelian dynamics. One of the few models developed to fit characteristics of the region is the dynamic simulation model of land-use changes in the Sudano-Sahelian countries of Africa (SALU) developed by Stephenne and Lambin (2001). This study aims at adapting this model to the current state of the art, providing explicit calculation steps, to reconstruct past land-use dynamics in Senegal from 1961 to 2020. An extensive bibliographic search was used to obtain parameter value ranges and the model’s sensitivity to parameter uncertainties was assessed through δ-indices calculation. Applying the model at national scale predicted trends coherent with available literature, with agricultural expansion leading to deforestation, and a switch to intensification in the mid-1990s affecting both livestock forage consumption and fallowing time. Calculating land-demands in the Groundnut basin, a subregion of Senegal, showed the limits of the model when downscaling, with current hypotheses insufficient to reconstruct land-uses in the region when faced with demands too high to be satisfied by the local production. This work opens perspectives to refine land-use modeling in the Sahel, including prospective scenarios.

Suggested Citation

  • Dupré, Anem & Raynal, Paul-Alain & Gounand, Isabelle & Pierre, Caroline, 2025. "Revisiting the dynamic simulation model of land-use changes in the Sudano-sahelian countries of Africa (SALU): An open-access application to Senegal," Ecological Modelling, Elsevier, vol. 510(C).
  • Handle: RePEc:eee:ecomod:v:510:y:2025:i:c:s0304380025002960
    DOI: 10.1016/j.ecolmodel.2025.111310
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    References listed on IDEAS

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    1. Haggblade, Steven & Me-Nsope, Nathalie M. & Staatz, John M., 2017. "Food security implications of staple food substitution in Sahelian West Africa," Food Policy, Elsevier, vol. 71(C), pages 27-38.
    2. Shuhui Yang & Xuefeng Cui, 2019. "Building Regional Sustainable Development Scenarios with the SSP Framework," Sustainability, MDPI, vol. 11(20), pages 1-13, October.
    3. Borgonovo, E., 2007. "A new uncertainty importance measure," Reliability Engineering and System Safety, Elsevier, vol. 92(6), pages 771-784.
    4. Bourgoin, Jeremy & Diop, Djibril & Jahel, Camille & Interdonato, Roberto & Grislain, Quentin, 2023. "Beyond land grabbing narratives, acknowledging patterns and regimes of land control in Senegal," Land Use Policy, Elsevier, vol. 131(C).
    5. Fabrice Gangneron & Caroline Pierre & Élodie Robert & Mehdi Saqalli & Juliette Codiat, 2024. "La baisse de la fertilité des champs dans le bassin arachidier du Sénégal à l’aune de la cohésion sociale," Mondes en développement, De Boeck Université, vol. 0(1), pages 93-114.
    6. Christoph Schmitz & Hans van Meijl & Page Kyle & Gerald C. Nelson & Shinichiro Fujimori & Angelo Gurgel & Petr Havlik & Edwina Heyhoe & Daniel Mason d'Croz & Alexander Popp & Ron Sands & Andrzej Tabea, 2014. "Land-use change trajectories up to 2050: insights from a global agro-economic model comparison," Agricultural Economics, International Association of Agricultural Economists, vol. 45(1), pages 69-84, January.
    7. Karina Winkler & Richard Fuchs & Mark Rounsevell & Martin Herold, 2021. "Global land use changes are four times greater than previously estimated," Nature Communications, Nature, vol. 12(1), pages 1-10, December.
    8. Kyrke Gaudreau & Robert B. Gibson, 2015. "Sustainability Assessment of the Agricultural and Energy Systems of Senegal," Energies, MDPI, vol. 8(5), pages 1-26, April.
    9. Benjamin Leon Bodirsky & Alexander Popp & Hermann Lotze-Campen & Jan Philipp Dietrich & Susanne Rolinski & Isabelle Weindl & Christoph Schmitz & Christoph Müller & Markus Bonsch & Florian Humpenöder &, 2014. "Reactive nitrogen requirements to feed the world in 2050 and potential to mitigate nitrogen pollution," Nature Communications, Nature, vol. 5(1), pages 1-7, September.
    10. Rasmussen, Laura Vang & Rasmussen, Kjeld & Reenberg, Anette & Proud, Simon, 2012. "A system dynamics approach to land use changes in agro-pastoral systems on the desert margins of Sahel," Agricultural Systems, Elsevier, vol. 107(C), pages 56-64.
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