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Use of a Bayesian Belief Network to Predict the Impacts of Commercializing Non-timber Forest Products on Livelihoods

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dc.contributor.author Newton, Adrian C. en_US
dc.contributor.author Marshall, Elaine en_US
dc.contributor.author Schreckenberg, K. en_US
dc.contributor.author Golicher, Duncan en_US
dc.contributor.author te Velde, Dirk W. en_US
dc.contributor.author Edouard, Fabrice en_US
dc.contributor.author Arancibia, Erik en_US
dc.date.accessioned 2009-07-31T14:52:06Z
dc.date.available 2009-07-31T14:52:06Z
dc.date.issued 2006 en_US
dc.date.submitted 2009-04-21 en_US
dc.date.submitted 2009-04-21 en_US
dc.identifier.uri https://hdl.handle.net/10535/2633
dc.description.abstract "Commercialization of non-timber forest products (NTFPs) has been widely promoted as a means of sustainably developing tropical forest resources, in a way that promotes forest conservation while supporting rural livelihoods. However, in practice, NTFP commercialization has often failed to deliver the expected benefits. Progress in analyzing the causes of such failure has been hindered by the lack of a suitable framework for the analysis of NTFP case studies, and by the lack of predictive theory. We address these needs by developing a probabilistic model based on a livelihood framework, enabling the impact of NTFP commercialization on livelihoods to be predicted. The framework considers five types of capital asset needed to support livelihoods: natural, human, social, physical, and financial. Commercialization of NTFPs is represented in the model as the conversion of one form of capital asset into another, which is influenced by a variety of socio-economic, environmental, and political factors. Impacts on livelihoods are determined by the availability of the five types of assets following commercialization. The model, implemented as a Bayesian Belief Network, was tested using data from participatory research into 19 NTFP case studies undertaken in Mexico and Bolivia. The model provides a novel tool for diagnosing the causes of success and failure in NTFP commercialization, and can be used to explore the potential impacts of policy options and other interventions on livelihoods. The potential value of this approach for the development of NTFP theory is discussed." en_US
dc.subject conservation en_US
dc.subject sustainability en_US
dc.subject forests--tropics en_US
dc.title Use of a Bayesian Belief Network to Predict the Impacts of Commercializing Non-timber Forest Products on Livelihoods en_US
dc.type Journal Article en_US
dc.type.published published en_US
dc.subject.sector Forestry en_US
dc.identifier.citationjournal Ecology and Society en_US
dc.identifier.citationvolume 11 en_US
dc.identifier.citationnumber 2 en_US
dc.identifier.citationmonth December en_US


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