Spatially Explicit Modeling of Landscape Change at the Humid Forest Margin in Cameroon.

TitleSpatially Explicit Modeling of Landscape Change at the Humid Forest Margin in Cameroon.
Publication TypeWorking Paper
AuthorsLegg CA, Robiglio V
ContactAuthorasb@cgiar.org
Year of Publication2003
Pagination12
Publication LanguageEnglish
AbstractIn common with most remaining areas of humid tropical forest, the forest of southern Cameroon is being converted to agricultural land, and is subject to increasing pressure as population grows and markets develop. The Humid Forest Ecoregional Centre of the International Institute for Tropical Agriculture (IITA-HFC) has worked for nearly a decade on improving agricultural production in villages at the forest margin, both by introduction of new higher-yielding and disease resistant varieties and by improvements to farming systems. As part of the Alternatives to Slash and Burn (ASB) programme, undertaken jointly with other CGIAR centres, research has been specifically targeted to the reduction of forest conversion and the maintenance of sustainable mosaics of forest and cultivation, and thus of floral and faunal biodiversity. A new project is in progress to model landscape changes in response to population and market pressures, and to assess the impact of the introduction of new or improved farming techniques. Modeling is undertaken within the SIMILE environment, which links system dynamics modeling with spatially explicit landscapes. A series of biophysical models of farming systems are linked through land tenure relationships to models of villages and households which incorporate kinship and other linkages. Decision-making in respect to selection of land for cultivation, selection of crops and allocation of labour is modeled at the household level, and model outputs include indicators of human wellbeing, soil quality and maps of changing land-use. Building the models involves compilation of extensive data on crops and soils collected by IITA and other cooperating institutions, as well as collection of field data on distribution and ownership of land patches in four test villages in the Humid Forest Benchmark area of southern Cameroon. These villages span the gradient from low population density, a high proportion of remaining forest and extensive agricultural systems to high population density, no forest and more intensive agriculture. Extensive use is being made of GPS receivers linked to hand-held computers in field data collection. In order to extrapolate results of modeling in the three test villages to the remainder of the Benchmark, new land cover maps are being prepared using satellite remote sensing. This project is still at an early stage, but preliminary information on land tenure and land use patterns within the three test villages are presented, as well as some prototype models of of typical farming systems. The applicability of this approach as an aid to INRM in other areas is assessed.
KeywordsAgriculture, Cameroon, forest margin, modelling, tropical forst
URLhttp://webapp.ciat.cgiar.org/inrm/workshop2001/docs/titles/3-1CPaperCLegg.pdf
Citation Key 584