مدل¬سازی توزیع جغرافیایی و مطلوبیت زیستگاه جربیل بزرگ (Rhombomys opimus) در استان گلستان با استفاده از مدل بیشینه آنتروپی
محورهای موضوعی : اکوسیستم ها
محسن احمدپور
1
,
حسین وارسته مرادی
2
,
حمید رضا رضایی
3
,
محمدعلی عشاقی
4
,
اباصلت حسین زاده کلاگر
5
1 - استادیار گروه علوم محیط‌زیست، دانشکده علوم دریایی و محیطی، دانشگاه مازندران، بابلسر، ایران. *(مسول مکاتبات)
2 - دانشیار گروه محیط زیست، دانشکده شیلات و محیط زیست، دانشگاه علوم کشاورزی و منابع طبیعی گرگان، گرگان، ایران.
3 - دانشیار گروه محیط زیست، دانشکده شیلات و محیط زیست، دانشگاه علوم کشاورزی و منابع طبیعی گرگان، گرگان، ایران.
4 - استاد گروه حشره‌شناسی پزشکی و مبارزه با ناقلین، دانشکده بهداشت، دانشگاه علوم پزشکی تهران، تهران، ایران.
5 - استاد گروه زیست‌شناسی سلولی و مولکولی، دانشکده علوم پایه، دانشگاه مازندران، بابلسر، ایران.
کلید واژه: مدل مطلوبیت زیستگاه, MaxEnt, جربیل بزرگ, متغیرهای محیط‌زیستی.,
چکیده مقاله :
زمینه و هدف: امروزه مدل¬سازی توزیع جغرافیایی يک گونه به روش بیشینه آنتروپی با استفاده از اطلاعات مکانی حاصل از سنجش از دور، سامانه اطلاعات جغرافیایی و تکنیک¬های آماری سهم بسیار زیادی در مدیریت حفاظت گونه¬ها دارد. هدف این مطالعه، ارزیابی اثرات متغیرهای محیط‌زیستی بر توزیع و مطلوبیت زیستگاه جربیل بزرگ (Rhombomys opimus) و پیش¬بینی زیستگاه آن در استان گلستان است. روش بررسی: در این تحقیق، 272 نقطه حضور جربیل بزرگ و 13 متغیر محیط‌زیستی به عنوان متغیرهای مستقل مورد انتخاب قرار گرفتند. سپس با استفاده از نرم‌افزار مکسنت، مدل‌سازی مطلوبیت زیستگاه و توزیع جغرافیایی گونه با استفاده از این نقاط حضور و متغیرها به روش بیشینه آنتروپی، انجام شد. یافته¬ها: نتايج نشان داد برخی از متغیرهای محیطی، از جمله متغیرهای ارتفاع، شاخص نرمال شده تفاوت پوشش گياهی (NDVI)، تیپ خاک و اقلیم بیشترین اثر را در توزیع جغرافیایی و مطلوبیت زیستگاه گونه در مناطق مورد مطالعه داشته¬اند. در حالی که متغیر شیب کمترین اثر را نسبت به سایر متغیرها دارا بود. بحث و نتیجه¬گیری: براساس مدل¬سازی انجام شده در اين تحقيق، زیستگاه جربیل بزرگ به صورت پیوسته است. به طوري¬که حدود 1/10 درصد از سطح استان گلستان به عنوان زیستگاه مطلوب جربیل بزرگ پيش¬بينی شده¬است.
Background and Objective: Today, the geographical distribution of a species based on maximum entropy using spatial data from geographical information system, remote sensing data and statistical techniques have a great contribution on conservation management of species. The aim of this study is evaluate the effects of environmental variable on distribution and habitat suitability of great gerbil (Rhombomys opimus) and predicting its habitat in Golestan province, Iran. Material and Methodology: For this purpose, 272 presence-only data and 13 environment variables as independent variables were selected for this species. Then, geographic distribution and habitat suitability modeling were performed by maximum entropy approach in MaxEnt software, using to these presence data and variables. Findings: Our results showed that, some of the habitat variables including: altitude, NDVI, soil type and climate had the greatest plays for habitat suitability and geographical distribution of R. opimus in this area. While that, aspect had less effects than other variables. Discussion and conclusion: Based on our findings, habitats of R. opimus was continues and about 10.1% of Golestan province pereidicted as a suitable habitat for the great gerbil.
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