Qualitative multi-criteria approaches to assessing indicators of sustainable forest resource management
Criteria and indicators (C&I) have become primary tools in implementing the principle of sustainable resource management. To carry out this principle, it is necessary to develop methodologies that can holistically and systematically generate relevant indicators for a particular forest or resource management unit. This paper describes some methodologies that can be used as tools to carry out structured analysis of C&I. Multi-criteria analysis (MCA) is used as a decision-making tool to analyze and evaluate multiple C&I under a participatory group decision-making environment. Use of the method enables the generation of C&I, estimation of their relative importance, estimation of the performance of each indicator relative to its desired condition, and assessment of the indicators' combined effect or impact. In addition to generating C&I and estimating their relative importance and performance, the paper also presents a soft methodology, called cognitive mapping, which can be used to assess the cross indicator interaction, linkages, and connectivities of the indicators. The method attempts to evaluate the overall cumulative impacts of all indicators, individually and collectively, as they impact sustainability directly and indirectly through their interactions with other indicators.
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Format: | Journal Article biblioteca |
Language: | English |
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2003
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Subjects: | selection criteria, indicators, evaluation, forest management, sustainability, methodology, |
Online Access: | https://hdl.handle.net/10568/18585 https://www.cifor.org/knowledge/publication/1111 |
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dig-cgspace-10568-185852016-05-30T17:48:43Z Qualitative multi-criteria approaches to assessing indicators of sustainable forest resource management Mendoza, G.A. Prabhu, Ravi selection criteria indicators evaluation forest management sustainability methodology Criteria and indicators (C&I) have become primary tools in implementing the principle of sustainable resource management. To carry out this principle, it is necessary to develop methodologies that can holistically and systematically generate relevant indicators for a particular forest or resource management unit. This paper describes some methodologies that can be used as tools to carry out structured analysis of C&I. Multi-criteria analysis (MCA) is used as a decision-making tool to analyze and evaluate multiple C&I under a participatory group decision-making environment. Use of the method enables the generation of C&I, estimation of their relative importance, estimation of the performance of each indicator relative to its desired condition, and assessment of the indicators' combined effect or impact. In addition to generating C&I and estimating their relative importance and performance, the paper also presents a soft methodology, called cognitive mapping, which can be used to assess the cross indicator interaction, linkages, and connectivities of the indicators. The method attempts to evaluate the overall cumulative impacts of all indicators, individually and collectively, as they impact sustainability directly and indirectly through their interactions with other indicators. 2003 2012-06-04T09:08:35Z 2012-06-04T09:08:35Z Journal Article Mendoza, G.A., Prabhu, R. 2003. Qualitative multi-criteria approaches to assessing indicators of sustainable forest resource management . Forest Ecology and Management 174 :329-343. ISSN: 0378-1127. 0378-1127 https://hdl.handle.net/10568/18585 https://www.cifor.org/knowledge/publication/1111 en Forest Ecology and Management |
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selection criteria indicators evaluation forest management sustainability methodology selection criteria indicators evaluation forest management sustainability methodology Mendoza, G.A. Prabhu, Ravi Qualitative multi-criteria approaches to assessing indicators of sustainable forest resource management |
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Criteria and indicators (C&I) have become primary tools in implementing the principle of sustainable resource management. To carry out this principle, it is necessary to develop methodologies that can holistically and systematically generate relevant indicators for a particular forest or resource management unit. This paper describes some methodologies that can be used as tools to carry out structured analysis of C&I. Multi-criteria analysis (MCA) is used as a decision-making tool to analyze and evaluate multiple C&I under a participatory group decision-making environment. Use of the method enables the generation of C&I, estimation of their relative importance, estimation of the performance of each indicator relative to its desired condition, and assessment of the indicators' combined effect or impact. In addition to generating C&I and estimating their relative importance and performance, the paper also presents a soft methodology, called cognitive mapping, which can be used to assess the cross indicator interaction, linkages, and connectivities of the indicators. The method attempts to evaluate the overall cumulative impacts of all indicators, individually and collectively, as they impact sustainability directly and indirectly through their interactions with other indicators. |
format |
Journal Article |
topic_facet |
selection criteria indicators evaluation forest management sustainability methodology |
author |
Mendoza, G.A. Prabhu, Ravi |
author_facet |
Mendoza, G.A. Prabhu, Ravi |
author_sort |
Mendoza, G.A. |
title |
Qualitative multi-criteria approaches to assessing indicators of sustainable forest resource management |
title_short |
Qualitative multi-criteria approaches to assessing indicators of sustainable forest resource management |
title_full |
Qualitative multi-criteria approaches to assessing indicators of sustainable forest resource management |
title_fullStr |
Qualitative multi-criteria approaches to assessing indicators of sustainable forest resource management |
title_full_unstemmed |
Qualitative multi-criteria approaches to assessing indicators of sustainable forest resource management |
title_sort |
qualitative multi-criteria approaches to assessing indicators of sustainable forest resource management |
publishDate |
2003 |
url |
https://hdl.handle.net/10568/18585 https://www.cifor.org/knowledge/publication/1111 |
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AT mendozaga qualitativemulticriteriaapproachestoassessingindicatorsofsustainableforestresourcemanagement AT prabhuravi qualitativemulticriteriaapproachestoassessingindicatorsofsustainableforestresourcemanagement |
_version_ |
1779059006603526144 |