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

Bibliographic Data

ID4239248
AuthorsAdrian C Newton (0000-0003-3591-6089), Elaine Marshall (King's College London), Kathrin Schreckenberg (Institute of Geography of the Slovak Academy of Sciences), Duncan Golicher (0000-0002-0219-0659), Dirk Willem te Velde, Fabrice Edouard, Erik Arancibia
Year2006
Volume11
Issue2
Publication date2006-01-01
Open AccessYes
TypeARTICLE
VenueConservation Ecology (JOURNAL)
Journal identifiersISSN: 1195-5449 • E-ISSN: 1708-3087
PublisherResilience Alliance (PUBLISHER • CA)
DOI10.5751/es-01843-110224
OpenAlexW1032078943
LanguageEN
Citations received18
References cited5

Newton, A. C., E. Marshall, K. Schreckenberg, D. Golicher, D. W. te Velde, F. Edouard, and E. Arancibia. 2006. Use of a Bayesian belief network to predict the impacts of commercializing non-timber forest products on livelihoods. Ecology and Society 11(2): 24. https://doi.org/10.5751/ES-01843-110224

Agriculture · Bayesian network · Bayesian probability · Biology · Economics · Environmental resource management · Geography · Livelihood · Natural resource economics · Bayesian Modeling and Causal Inference · Computer Science · Conservation, Biodiversity, and Resource Management · Environmental Science · Water resources management and optimization · Artificial Intelligence · Ecology · Forestry

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Citations per year0.95
Citation span2007 - 2025 (19)
Highly citedNo

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