تحليل شبكۀ ارتباطي ميان دستگاه‌هاي دولتي درگير در مديريت جنگل‌هاي حراي جزيرۀ قشم

Analysis of communication network between government agencies involved in the management of Qeshm Island Hara forests

اﯾﻦ ﻣﻄﺎﻟﻌﻪ ﺑﺎ ﻫﺪف ﺷﻨﺎﺳﺎﯾﯽ و ﺗﺤﻠﯿﻞ ﻣﺴﺎﺋﻞ ﻣﺪﯾﺮﯾﺘﯽ ﻣﺮﺗﺒﻂ ﺑﺎ ﺟﻨﮕﻞ ﻫﺎي ﺣـﺮاي ﺟﺰﯾـﺮة ﻗﺸـﻢ اﻧﺠـﺎم ﮔﺮﻓﺘـﻪ و ﺑـﻪ ﺑﺮرﺳـ ﯽ ارﺗﺒﺎﻃـﺎت و ﻫﻤﮑﺎري ﻫﺎي ﻣﯿﺎن دﺳﺘﮕﺎه ﻫﺎي دوﻟﺘﯽ ﺑﺎ اﺳﺘﻔﺎده از روش ﺗﺤﻠﯿﻞ ﺷﺒﮑﻪ اي ﭘﺮداﺧﺘﻪ اﺳﺖ. ﺑﻪ ﻣﻨﻈﻮر ﺟﻤﻊ آوري اﻃﻼﻋﺎت و داده ﻫﺎي ﻣﺮﺗﺒﻂ ﺑـﺎ ﻣﻮﺿﻮع ﭘﮋوﻫﺶ، ﺑﻪ دﺳﺘﮕﺎه ﻫﺎي اﺟﺮاﯾﯽ و ﺟﻮاﻣﻊ ﻣﺤﻠﯽ ﻣﺮﺗﺒﻂ در اﯾﻦ ﺧﺼﻮص ﻣﺮاﺟﻌﻪ ﺷﺪ و از آﻧﻬﺎ ﺧﻮاﺳﺘﻪ ﺷﺪ دﺳﺘﮕﺎه ﻫﺎي دوﻟﺘﯽ درﮔﯿﺮ در ﻣﺪﯾﺮﯾﺖ ﺟﻨﮕﻞ ﻫﺎي ﺣﺮا را ﻓﻬﺮﺳﺖ ﮐﻨﻨﺪ. ﺳﭙﺲ ﭘﺮﺳﺸﻨﺎﻣﮥ ﺗﺤﻠﯿﻞ ﺷﺒﮑﻪ اي ﺑﺮاﺳﺎس ﺑﺮرﺳﯽ ﺳﻪ ﻧﻮع ﺷﺒﮑﮥ ارﺗﺒﺎﻃﯽ )ﻣﺮاﺟﻌﻪ، ﻫﻤﮑـﺎر ي، اﻋﺘﻤﺎد( ﻣﯿﺎن دﺳﺘﮕﺎه ﻫﺎي دوﻟﺘﯽ درﮔﯿﺮ در ﻣﺪﯾﺮﯾﺖ ﺟﻨﮕﻞ ﻫﺎي ﺣﺮا ﺗﻨﻈﯿﻢ و ﺗﻮﺳﻂ ﻧﻤﺎﯾﻨﺪﮔﺎن آﻧﻬﺎ ﺗﮑﻤﯿﻞ ﺷﺪ. داده ﻫﺎ ﭘﺲ از ﺗﮑﻤﯿﻞ و ورود ﺑﻪ ﻧﺮم اﻓﺰار اﮐﺴﻞ، ﺑﺮاي ﺗﺤﻠﯿﻞ وارد ﻧﺮم اﻓﺰار UCINET6.718 ﺷﺪه و ﭘﺲ از ﺗﻮﻟﯿﺪ ﻣﺎﺗﺮﯾﺲ ﺗﮏ وﺟﻬـ ﯽ، ﺷـﺎﺧﺺ ﻫـ ﺎي ﮐـﻼن و ﺧـﺮد ﺷـﺒﮑﻪ ﻫﻤﭽﻮن ﺗﺮاﮐﻢ و ﻣﺮﮐﺰﯾﺖ اﻧﺪازهﮔﯿﺮي ﺷﺪﻧﺪ. ﻧﺘﺎﯾﺞ ﺗﺤﻠﯿﻞ ﮔﺮاف ﻫﺎ ﺑﺎ اﺳﺘﻔﺎده از ﻧﺮم اﻓﺰار NetDraw ﻧﺸﺎن داد ﮐﻪ ﻫﻤﮥ ﺷـﺎﺧﺺ ﻫـ ﺎي ﺧـﺮد و ﮐﻼن در ﺷﺒﮑﮥ ﻫﻤﮑﺎري، ﺑﻬﺘﺮ از ﺷﺒﮑﮥ ﻣﺮاﺟﻌﻪ و در ﺷﺒﮑﮥ اﻋﺘﻤﺎد، ﺑﻬﺘﺮ از ﺷﺒﮑﮥ ﻫﻤﮑﺎري اﺳﺖ. ﻫﻤﭽﻨﯿﻦ ﻫﻤﮑﺎري و ﻣﺸﺎرﮐﺖ دﺳﺘﮕﺎه ﻫـ ﺎي دوﻟﺘﯽ اﺳﺘﺎﻧﯽ در ﮐﻨﺎر ﻣﺪﯾﺮﯾﺖ ﻫﺎي زﯾﺮﻣﺠﻤﻮﻋﮥ ﺳﺎزﻣﺎن ﻣﻨﻄﻘﮥ آزاد ﻗﺸﻢ از دﯾﮕﺮ ﻗﻮت ﻫﺎي اﯾﻦ ﺷﺒﮑﻪ ﻫﺎ ﻣﺤﺴﻮب ﻣﯽ ﺷﻮد ﮐﻪ ﻣﯽ ﺗﻮان از آﻧﻬﺎ ﺑﺮاي ﮔﺴﺘﺮش ﭘﺮوژه ﻫﺎي ﻣﺸﺎرﮐﺘﯽ در ﻣﺪﯾﺮﯾﺖ اﯾﻦ ﺟﻨﮕﻞ ﻫﺎ ﺑﺎ ﺣﻀﻮر ﺟﻮاﻣﻊ ﻣﺤﻠﯽ ﺑﻬﺮه ﺑﺮد.

The aim of this study was to identify and analyze the management issues related to the mangrove forests of Qeshm Island and to investigate the relationships and collaborations between government agencies using the network analysis method. In order to collect information and data related to the research topic, they referred to the relevant agencies and local communities in this regard and were asked to list the government agencies involved in the management of mangrove forests. Then, a network analysis questionnaire was prepared based on a review of three types of communication networks (referral, cooperation, trust) between government agencies involved in mangrove management and was completed by their representatives. After completing the data and entering them into Excel software, the data were entered into UCINET6.718 software for analysis and after generating a one-dimensional matrix, macro and micro indicators of the network such as density and centrality were measured. The results of graph analysis using NetDraw software showed that all micro and macro indicators in the cooperation network are better than the reference network and in the trust network are better than the cooperation network. Also, the cooperation and participation of provincial government agencies along with the sub-managements of the Qeshm Free Zone Organization are other strengths of these networks, which can be used to expand the participatory projects in the management of these forests with the participation of local communities.