Abstract
Biodiversity conservation, as one criterion for evaluating forest sustainability, is assessed using a fuzzy analytic hierarchy process. Biodiversity conservation is presented in a hierarchical framework organised around three concepts: criteria, indicators, and verifiers. Following this hierarchical framework, a biodiversity conservation index model was developed as a two-step process. First, analysis is done at the indicator level to estimate the cumulative impacts of the verifiers, which are modelled as fuzzy variables. At the second level, the cumulative impacts of the indicators are measured. In both levels, the analytic hierarchy process is used to estimate the relative importance of each element in the hierarchy. Biodiversity experts then provided opinions, through pairwise comparisons, for elements at each level in the hierarchy, producing estimates of their relative importance. Based on these importance values, a composite biodiversity conservation index is calculated by combining index values from both levels of the hierarchy. To demonstrate this approach, a case study involving a forest located in Kalimantan, Indonesia was used.
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© 2001 Springer Science+Business Media Dordrecht
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Mendoza, G.A., Prabhu, R. (2001). A Fuzzy Analytic Hierarchy Process for Assessing Biodiversity Conservation. In: Schmoldt, D.L., Kangas, J., Mendoza, G.A., Pesonen, M. (eds) The Analytic Hierarchy Process in Natural Resource and Environmental Decision Making. Managing Forest Ecosystems, vol 3. Springer, Dordrecht. https://doi.org/10.1007/978-94-015-9799-9_14
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DOI: https://doi.org/10.1007/978-94-015-9799-9_14
Publisher Name: Springer, Dordrecht
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