{"title":"Multiple Criteria Decision-Making Approaches for Forest Sustainability (Case Study: Iranian Caspian Forests)","authors":"Z. Mohammadi, S. M. Limaei","doi":"10.4172/2168-9776.1000215","DOIUrl":null,"url":null,"abstract":"The aim of this research is to investigate the sustainability of economic, social and environmental aspects in Iranian Caspian forests. To do so, questionnaires were used for data collection. The questionnaires were distributed among the forestry experts in Guilan province, north of Iran. Analytic Hierarchy Process (AHP) and the Network Analysis (ANP) were used for prioritizing the indicators of sustainable forest management. Investigated criteria and indicators are derived from the Near Middle East Process. The Expert Choice and Super Decision software were used for data analysis. The results of this study showed that the wood products sub-criterion and conservation of biological diversity have been known the most important criteria in the sustainable forest management in the study area using of AHP and ANP. Furthermore, the priorities of the other indicators are different in AHP and ANP. This could be due to the reciprocity relations in the ANP and this method has more strengths than AHP.","PeriodicalId":35920,"journal":{"name":"林业科学研究","volume":"6 1","pages":"1-7"},"PeriodicalIF":0.0000,"publicationDate":"2018-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"林业科学研究","FirstCategoryId":"1087","ListUrlMain":"https://doi.org/10.4172/2168-9776.1000215","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Agricultural and Biological Sciences","Score":null,"Total":0}
引用次数: 4
Abstract
The aim of this research is to investigate the sustainability of economic, social and environmental aspects in Iranian Caspian forests. To do so, questionnaires were used for data collection. The questionnaires were distributed among the forestry experts in Guilan province, north of Iran. Analytic Hierarchy Process (AHP) and the Network Analysis (ANP) were used for prioritizing the indicators of sustainable forest management. Investigated criteria and indicators are derived from the Near Middle East Process. The Expert Choice and Super Decision software were used for data analysis. The results of this study showed that the wood products sub-criterion and conservation of biological diversity have been known the most important criteria in the sustainable forest management in the study area using of AHP and ANP. Furthermore, the priorities of the other indicators are different in AHP and ANP. This could be due to the reciprocity relations in the ANP and this method has more strengths than AHP.
期刊介绍:
Forestry Research is a comprehensive academic journal of forestry science organized by the Chinese Academy of Forestry. The main task is to reflect the latest research results, academic papers and research reports, scientific and technological developments and information on forestry science mainly organized by the Chinese Academy of Forestry, to promote academic exchanges at home and abroad, to carry out academic discussions, to flourish forestry science, and to better serve China's forestry construction.
The main contents are: forest seeds, seedling afforestation, forest plants, forest genetic breeding, tree physiology and biochemistry, forest insects, resource insects, forest pathology, forest microorganisms, forest birds and animals, forest soil, forest ecology, forest management, forest manager, forestry remote sensing, forestry biotechnology and other new technologies, new methods, and to increase the development strategy of forestry, the trend of development of disciplines, technology policies and strategies, etc., and to increase the forestry development strategy, the trend of development of disciplines, technology policies and strategies. It is suitable for scientists and technicians of forestry and related disciplines, teachers and students of colleges and universities, leaders and managers, and grassroots forestry workers.