Other language title :
اﻧﺘﺨﺎب ﮔﻮﻧﻪﻫﺎي ﺷﺎﺧﺺ ﺑﺮاي ﻣﺪﯾﺮﯾﺖ ﻣﺮاﺗﻊ ﺑﺎ اﺳﺘﻔﺎده از ﻓﺮآﯾﻨﺪ- Anp Dematel ﻣﻄﺎﻟﻌﻪ ﻣﻮردي: ﻣﺮاﺗﻊ ﻧﻬﺎوﻧﺪ
Title of article :
Indicator Species for Rangeland Management by ANPDEMATEL Method (Case Study: Nahavand Rangeland
Author/Authors :
Ariapour, Ali Department of Rangeland Management - Young Researchers and Elite Club - Borujerd Branch - Islamic Azad University - Borujerd, Iran , Asgari, Marzieh Department of Rangeland Management - Young Researchers and Elite Club - Borujerd Branch - Islamic Azad University - Borujerd, Iran , Mashayekhan, Armin Gorgan Branch - Islamic Azad University - Gorgan, Iran
Pages :
11
From page :
285
To page :
295
Abstract :
The wide ecological area consists of a rangeland with special vegetation and one of the key factors in rangeland management is to select Management Indicator Species (MIS). Management indicator species based on a new method such as Analytical Network Process-Decision Making Trial and Evaluation (ANP-DEMATEL) is one of the most important stages in the successful Range management as choosing a suitable species for the site can be the key to success. This paper provides research contribution on selecting management indicator species using ANP-DEMATEL for the Range management of Nahavand rangeland in Hamedan, Iran in 2016. This research as a guide to determine the best Management Indicator Species (MIS) was interested in how to use ANP-DEMATEL approach using Super Decisions software version 2.8. The criteria of species selection were grazing pressure, soil conservation, palatability, and beekeeping value and a set of species for criteria included Acanthophyllum microcephalum, Thymus kotschyanus, Hypericum perforatum, Bromus tomentellus, Tragopogon graminifolius, Malabaila secacul, Festuca ovina, Poa bulbosum, Hordeum bulbosum and Medicago sativa. Criteria were identified as the most preferable options. Results showed that grazing pressure and soil conservation with the values of 2.001 and 1.125 were the best criteria for the range management. Among species, Medicago sativa, Thymus kotschyanus, Hypericum perforatum and Acanthophyllum microcephalum (0.1454, 0.1387, 0.1247 and 0.1155) contributed to rangeland management objectives. The result of this study showed that the multi-criteria decision making and ANP-DEMATEL can provide accurate results and help rangeland managers to overcome knowledge gaps under complex ecological conditions.
Farsi abstract :
ﭼﮑﯿﺪه. ﻣﻨﻄﻘﻪ وﺳﯿﻊ از ﻫﺮ ﻣﻨﻄﻘﻪ اﮐﻮﻟﻮژﯾﮑﯽ ﺷﺎﻣﻞ ﻣﺮاﺗﻊ ﺑﺎ ﭘﻮﺷﺶ ﮔﯿﺎﻫﯽ ﺧﺎﺻﯽ ﻣﯽﺑﺎﺷﺪ و ﯾﮑﯽ از ﻋﻮاﻣﻞ ﮐﻠﯿﺪي در ﻣﺪﯾﺮﯾﺖ ﻣﺮاﺗﻊ ﮐﺸﻮر، اﻧﺘﺨﺎب ﮔﻮﻧﻪﻫﺎي ﺷﺎﺧﺺ ﻣﺪﯾﺮﯾﺖ اﺳﺖ. ﮔﻮﻧﻪﻫﺎي ﺷﺎﺧﺺ ﻣﺪﯾﺮﯾﺖ ﺑﺮ اﺳﺎس ﯾﮏ روش ﺟﺪﯾﺪ ﻣﺎﻧﻨﺪ روش ANP-DEMATEL ﮐﻪ ﯾﮑﯽ از ﻋﻮاﻣﻞ ﻣﻬﻢ در ﺑﺮﻧﺎﻣﻪرﯾﺰي ﻣﺪﯾﺮﯾﺖ ﺟﺎﻣﻊ ﭘﻮﺷﺶ ﮔﯿﺎﻫﯽ اﺳﺖ ﻣﯽﺗﻮاﻧﺪ ﺑﻪ ﻋﻨﻮان ﮔﻮﻧﻪ ﮔﯿﺎﻫﯽ ﻣﻨﺎﺳﺐ، ﮐﻠﯿﺪ ﻣﻮﻓﻘﯿﺖ ﺑﺎﺷﺪ. در اﯾﻦ ﭘﮋوﻫﺶ، اﻧﺘﺨﺎب ﮔﻮﻧﻪﻫﺎي ﺷﺎﺧﺺ ﺑﺎ اﺳﺘﻔﺎده از ﻓﺮآﯾﻨﺪ ﺗﺤﻠﯿﻞ ﺷﺒﮑﻪ و دﯾﻤﺘﻞ ﺑﺎ ﻫﺪف ﻣﺪﯾﺮﯾﺖ ﻣﺮاﺗﻊ ﻣﻨﻄﻘﻪ ﻧﻬﺎوﻧﺪ ﻫﻤﺪان در ﺳﺎل 1395 اﻧﺠﺎم ﺷﺪ و ﺑﻪ ﻋﻨﻮان راﻫﻨﻤﺎي اﻧﺘﺨﺎب ﮔﻮﻧﻪﻫﺎي ﺷﺎﺧﺺ ﻣﺪﯾﺮﯾﺖ و آﺷﻨﺎﯾﯽ ﺑﺎ روش ﺗﺤﻠﯿﻞ ﺷﺒﮑﻪ و دﯾﻤﺘﻞ اﺳﺖ ﮐﻪ ﺑﺎ اﺳﺘﻔﺎده از ﻧﺮم اﻓﺰار Super Decisions ورژن 2/8 اﺳﺘﻔﺎده ﺷﺪه اﺳﺖ. ﻣﻌﯿﺎرﻫﺎي در ﻧﻈﺮ ﮔﺮﻓﺘﻪ ﺷﺪه در اﯾﻦ ﻣﻄﺎﻟﻌﻪ، ﻓﺸﺎر ﭼﺮا، ﺣﻔﺎﻇﺖ ﺧﺎك، ﺧﻮﺷﺨﻮراﮐﯽ ﮔﻮﻧﻪﻫﺎ و ارزش زﻧﺒﻮرداري ﺑﻮده و ﮔﻮﻧﻪﻫﺎي در ﻧﻈﺮ ﮔﺮﻓﺘﻪ ﺷﺎﻣﻞ ,Acanthophyllum microcephalum Thymus kotschyanus, Hypericum perforatum, Bromus tomentellus, Tragopogon graminifolius, Malabaila secacul, Festuca ovina, Poa bulbosum, Hordeum bulbosum and Medicago sativa ﺑﻮده اﺳﺖ. ﺑﺮ اﺳﺎس ﻧﺘﺎﯾﺞ ﺑﺪﺳﺖ آﻣﺪه، ﻓﺸﺎر ﭼﺮا و ﺣﻔﺎﻇﺖ ﺧﺎك ﺑﺎ وزنﻫﺎي 2/001 و 1/125 ﺑﻬﺘﺮﯾﻦ ﻣﻌﯿﺎر ﺑﺮاي ﻣﺪﯾﺮﯾﺖ ﻣﺮاﺗﻊ ﺑﻮده اﺳﺖ. از ﻣﯿﺎن ﮔﻮﻧﻪﻫﺎي در ﻧﻈﺮ ﮔﺮﻓﺘﻪ ﺷﺪه، ﮔﻮﻧﻪﻫﺎي Hypericum perforatum Thymus kotschyanus Medicago sativa و Acanthophyllum microcephalum ﺑﻪ ﺗﺮﺗﯿﺐ )ﺑﺎ وزن 0/1154 و 0/1454 ،0/1387 ،0/1247( ﻣﻬﻤﺘﺮﯾﻦ ﮔﻮﻧﻪﻫﺎي ﺷﺎﺧﺺ ﻣﺪﯾﺮﯾﺖ ﻣﺮﺗﻊ ﺑﻮدﻧﺪ. ﻧﺘﺎﯾﺞ اﯾﻦ ﭘﮋوﻫﺶ ﻧﺸﺎن داد روشﻫﺎي ارزﯾﺎﺑﯽ ﭼﻨﺪ ﻣﻌﯿﺎره و ﺑﻪ ﺧﺼﻮص روش ﺗﺤﻠﯿﻞ ﺷﺒﮑﻪ-دﯾﻤﺘﻞ، ﻣﯽﺗﻮاﻧﺪ ﺑﻪ ﻣﺪﯾﺮان ﻣﺮاﺗﻊ ﮐﺸﻮر ﮐﻤﮏ ﮐﺮده و از ﺳﻮﯾﯽ ﭘﯿﭽﯿﺪﮔﯽ ﺷﺮاﯾﻂ ﺑﻮم ﺷﻨﺎﺧﺘﯽ ﻣﻨﻄﻘﻪ را ﮐﺎﻫﺶ داده و از ﺳﻮي دﯾﮕﺮ اﻧﺘﺨﺎب ﮔﻮﻧﻪﻫﺎي ﺷﺎﺧﺺ ﻣﺪﯾﺮﯾﺘﯽ را راﺣﺖﺗﺮ ﮐﻨﺪ
Keywords :
Multi-criteria , Species selection , Rangeland , ANP , DEMATEL Method
Journal title :
Astroparticle Physics
Serial Year :
2018
Record number :
2441014
Link To Document :
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