N. Stephenne et Ef. Lambin, A dynamic simulation model of land-use changes in Sudano-sahelian countries of Africa (SALU), AGR ECO ENV, 85(1-3), 2001, pp. 145-161
This paper presents a simulation model to project land-cover changes at a n
ational scale for Sudano-sahelian countries. The aim of this study is to be
tter understand the driving forces of land-use change and to reconstruct pa
st changes. The structure of our model is heavily determined by its spatial
ly aggregated level. This model represents, in a dynamic way, a simplified
version of our current understanding of the processes of land-use change in
the Sudano-sahelian region of Africa. For any given year, the land demand
is calculated under the assumption that there should be an equilibrium betw
een the production and consumption of basic resources derived from differen
t land-uses. The exogenous variables of the model are human population (rur
al and urban), livestock, rainfall and cereals imports. The output are the
areas allocated to fuelwood extraction, crops, fallow and pasture for every
year. Pressure indicators are also generated endogenously by the model (ra
te of overgrazing and land degradation, labour productivity, average househ
old "budget"). The parameters of the model were derived on the basis of a c
omprehensive review of the literature, mostly of local scale case studies o
f land-use changes in the Sahel. In agreement with farming system research,
the model simulates two processes of land-use change: agricultural expansi
on at the most extensive technological level, followed by agricultural inte
nsification once some land threshold is reached. The model was first tested
at a national scale using data from Burkina Faso. Results simulate land-us
e changes at two time frequencies: high frequency, as driven by climatic va
riability, and low frequency, as driven by demographic trends. The rates of
cropland expansion predicted by the model are consistent with rates measur
ed for several case studies, based on fine spatial resolution remote sensin
g data. (C) 2001 Elsevier Science B.V. All rights reserved.