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Title
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Modeling ecosystem functions' failure modes: formulating fuzzy risk priorities in the forests of western Iran
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Author
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Abstract
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| The concepts of ecosystem functions and ecosystem services are among the most important issues related to ecosystems. These concepts have a noticeable role in forest ecosystem management under the diversity of ecosystem functions. Understanding these concepts and their associated failure modes can be the first step in ecosystem management. This research attempts to demonstrate a new model for hierarchical planning according to these failure modes. We suggest the Failure Mode and Effects Analysis (FMEA) method and risk priority assessment to determine failure modes in ecosystem functions. In this study, the fuzzy method was used to measure the occurrence, severity, and detection of each ecosystem function well. The results of the fuzzy FMEA method for the assessment of ecosystem functions were integrated with the issue of transforming the problem tree into an objective tree. The model was utilized in a case study of the ecosystem functions for the Zagros forests in Iran which have socio-economic issues and are managed by a form of social forestry. The results of this study show that among the ecosystem functions, waste treatment, biological control, and nutrient regulation with Risk Priority Numbers (RPNs) of 738, 646, and 567, respectively, have the highest need for care. Although these factors belong to the regulation function, along with climate change, the role of local communities in these issues is undeniable. The findings of the study illustrate that the ecosystem management of social forests needs to focus on organizing the production functions in short term. This organizing is in the direction of achieving the regulation functions in the long term. The new model can well represent particular actions to improve ecosystem functions and planning of forest ecosystems. |
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Language
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English
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Source (journal)
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International journal of environmental science and technology
International Journal of Environmental Science and Technology
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Publication
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2023
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ISSN
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1735-2630
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DOI
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10.1007/S13762-022-04619-5
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Volume/pages
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20
:3
(2023)
, p. 2581-2600
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ISI
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000886862200003
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Full text (Publisher's DOI)
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