Anem Dupré, Paul-Alain Raynal, Isabelle Gounand, Caroline Pierre
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引用次数: 0
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 -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.
期刊介绍:
The journal is concerned with the use of mathematical models and systems analysis for the description of ecological processes and for the sustainable management of resources. Human activity and well-being are dependent on and integrated with the functioning of ecosystems and the services they provide. We aim to understand these basic ecosystem functions using mathematical and conceptual modelling, systems analysis, thermodynamics, computer simulations, and ecological theory. This leads to a preference for process-based models embedded in theory with explicit causative agents as opposed to strictly statistical or correlative descriptions. These modelling methods can be applied to a wide spectrum of issues ranging from basic ecology to human ecology to socio-ecological systems. The journal welcomes research articles, short communications, review articles, letters to the editor, book reviews, and other communications. The journal also supports the activities of the [International Society of Ecological Modelling (ISEM)](http://www.isemna.org/).