Article (Scientific journals)
Modeling ecosystem functions’ failure modes: formulating fuzzy risk priorities in the forests of western Iran
Zandebasiri, M.; Azadi, Hossein; Viira, A.-H. et al.
2022In International Journal of Environmental Science and Technology
Peer Reviewed verified by ORBi
 

Files


Full Text
Modeling ecosystem functions’ failure modes.pdf
Author postprint (1.38 MB)
Request a copy

All documents in ORBi are protected by a user license.

Send to



Details



Keywords :
Ecosystem services; Failure Mode and Effects Analysis (FMEA); Forest ecosystem management; Risk priority number; Zagros forests; Analysis method; Ecosystem functions; Ecosystem management; Failure mode and effect analyse; Failure mode and effects analysis; Risk priority; Risk Priority Number; Zagros forest; Environmental Engineering; Environmental Chemistry; Agricultural and Biological Sciences (all); General Agricultural and Biological Sciences
Abstract :
[en] 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.
Disciplines :
Environmental sciences & ecology
Author, co-author :
Zandebasiri, M. ;  Research Division of Natural Resources, Chaharmahal and Bakhtiari Agricultural and Natural Resources Research and Education Center, AREEO, Shahrekord, Iran
Azadi, Hossein  ;  Université de Liège - ULiège > TERRA Research Centre > Modélisation et développement
Viira, A.-H.;  Institute of Agricultural and Environmental Sciences, Estonian University of Life Sciences, Tartu, Estonia
Witlox, F.;  Department of Geography, Ghent University, Ghent, Belgium ; Department of Geography, University of Tartu, Tartu, Estonia ; College of Civil Aviation, Nanjing University of Aeronautics and Astronautics, Nanjing, China
Jahanbazi Goujani, H.;  Research Division of Natural Resources, Chaharmahal and Bakhtiari Agricultural and Natural Resources Research and Education Center, AREEO, Shahrekord, Iran
Iranmanesh, Y.;  Research Division of Natural Resources, Chaharmahal and Bakhtiari Agricultural and Natural Resources Research and Education Center, AREEO, Shahrekord, Iran
Language :
English
Title :
Modeling ecosystem functions’ failure modes: formulating fuzzy risk priorities in the forests of western Iran
Publication date :
2022
Journal title :
International Journal of Environmental Science and Technology
ISSN :
1735-1472
eISSN :
1735-2630
Publisher :
Institute for Ionics
Peer reviewed :
Peer Reviewed verified by ORBi
Funding text :
We thank from Chaharmahal and Bakhtiari Agricultural and Natural Resources Research and Education Center, Iran, to support of this research.
Available on ORBi :
since 13 February 2023

Statistics


Number of views
19 (0 by ULiège)
Number of downloads
0 (0 by ULiège)

Scopus citations®
 
3
Scopus citations®
without self-citations
0
OpenCitations
 
0

Bibliography


Similar publications



Contact ORBi