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Multiple criteria decision making approaches to assessing forest sustainability using criteria and indicators: a case study

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Title Multiple criteria decision making approaches to assessing forest sustainability using criteria and indicators: a case study
 
Creator Mendoza, G.A.
Prabhu, Ravi
 
Subject social forestry
case studies
criteria
indicators
forest management
concession (land)
assessment
decision making
sustainability
 
Description This paper describe the use of multiple criteria decision tools for assessing criteria and indicators designed to evaluate sustainable forest management. Three techniques called ranking, rating, and pairwise comparisons are described and used within the framework of a generic set of criteria and indicators applied in a case study involving a forest concession in Kalimantan, Indonesia. For the case study, an assessment team consisting of national and international experts representing various disciplines was chosen to conduct an assessment of the forest concession. The criteria and indicators (C&I) developed by the Center for International Forestry Research were used as a reference. From this generic set of C&I, the assessment team made revisions to make the set more relevant to the prevailing conditions in the forest concession. This modified set was used in the assessment of the concession. Results from the study indicate that these techniques are effective tools both for selecting sets of criteria and indicators and eventually for prioritising them. The methods are highly transparent, easy to understand, and offer a convenient environment for participatory decision-making. These are desirable features of any evaluation but most especially for a complex assessment problem such as forest sustainability.
 
Date 2000
2012-06-04T09:06:07Z
2012-06-04T09:06:07Z
 
Type Journal Article
 
Identifier Mendoza, G.A., Prabhu, R. 2000. Multiple criteria decision making approaches to assessing forest sustainability using criteria and indicators: a case study . Forest Ecology and Management 131 :107-126. ISSN: 0378-1127.
0378-1127
https://hdl.handle.net/10568/18134
https://www.cifor.org/knowledge/publication/637
 
Language en
 
Source Forest Ecology and Management