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dc.contributor.authorBrown, Douglas Ronald
dc.identifier.otherbibid: 6475936
dc.descriptionChristopher B. Barrett, Richard N. Boisvert, James P. Lassoieen_US
dc.description.abstractShifting cultivation is one of many phenomena involving the interaction of humans with their natural environment, for which the spatial and temporal dimensions are essential to understanding the system. As a spatiotemporal phenomenon, shifting cultivation uses forest resources to provide the means for human sustenance, both from the temporary use of patches of forest for agricultural production and from the harvest of non-timber forest products from that same mosaic of forest and agricultural land. There are many factors that affect household decisions to clear forested land for cultivation as well as the permanence of land clearing (deforestation or temporary clearing). Even though subsistence households act independently, their individual decisions have a significant collective impact. Key to addressing the sustainable use of forest resources is a correct understanding of household decision-making and spatiotemporal dynamics. The principal objective of this research is to investigate the spatial and temporal dynamics of forest use by subsistence agricultural households by developing a mathematical model that is able to mimic the spatial patterns (mosaic) of land use typical of subsistence agriculture in southern Cameroon. More specifically, I develop a conceptual framework for the dynamic choice of spatial location for agricultural production. I investigate household preferences for particular characteristics of forest and fallow land for cultivation and predict them based on household socioeconomic characteristics. The resulting parameter estimates drive a structural simulation model that simultaneously models decisions in space and over time by a heterogeneous set of households representative of the study communities. The model is specified so that it can be adapted to different locations and their specific social and economic contexts. While the ultimate goal is to link the model developed herein to a larger model of livelihood choice at the household level, at its present level of development it provides significant insights into the spatiotemporal dynamics of forest use and shifting agricultural production. It is able to differentiate between the standard Boserup hypothesis of population-induced intensification and model other factors that have a significant impact at the village and household scale. Personal preferences over particular forest or fallow characteristics impact land use intensity. The model demonstrates the importance of path-dependency as a factor in the evolution of the forest-fallow-agriculture mosaic. Finally, I demonstrate its use for comparative dynamic analysis of the impact of exogenous economic shocks and alternate policy scenarios on households and the agriculture-fallow-forest mosaic.en_US
dc.description.sponsorshipSocial Sciences and Humanities Research Council of Canada, Cornell University, European Union Tropical Forestry Budget Line support to the Alternative to Slash and Burn program (ASB) in Cameroon, International Institute of Tropical Agriculture Humid Forest Ecoregional Centre (IITA-HFEC) in Cameroonen_US
dc.format.extent3374756 bytes
dc.subjectshifting cultivationen_US
dc.subjectspatiotemporal modellingen_US
dc.subjectspatiotemporal modelingen_US
dc.subjectbioeconomic modellingen_US
dc.subjectbioeconomic modelingen_US
dc.subjectslash and burn agricultureen_US
dc.subjectforest cover dynamicsen_US
dc.subjecthousehold modellingen_US
dc.subjecthousehold modelingen_US
dc.subjectland use decisionsen_US
dc.subjectsubsistence farmersen_US
dc.subjectSimile modelen_US
dc.subjectFLORES modelen_US
dc.subjecthumid forest zoneen_US
dc.subjectCongo Basinen_US
dc.subjectspatial resource modelen_US
dc.subjectspatial dynamicsen_US
dc.subjectstated preferencesen_US
dc.titleA Spatiotemporal Model of Forest Cover Dynamics and Household Land Use Decisions by Subsistence Farmers in Southern Cameroonen_US
dc.typedissertation or thesisen_US

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