پديد آورنده :
خوشبخت، مهدي
عنوان :
پيش بيني اثر تغيير اقليم بر رويشگاه بالقوه گونه گياهي سنبل الطيب (Valeriana sisymbriifolia) در استان اصفهان
مقطع تحصيلي :
كارشناسي ارشد
محل تحصيل :
اصفهان: دانشگاه صنعتي اصفهان، دانشكده منابع طبيعي
صفحه شمار :
ده، 84ص.: مصور
استاد راهنما :
مصطفي تركش اصفهاني
استاد مشاور :
حسين بشري، مسعود برهاني
توصيفگر ها :
آشيان اكولوژيك , مدل افزايشي تعميم يافته , مدل خطي تعميم يافته , مكسنت , نقشه بالقوه گونه
استاد داور :
رضا جعفري، سعيد پورمنافي
تاريخ ورود اطلاعات :
1395/07/19
دانشكده :
مهندسي منابع طبيعي
چكيده انگليسي :
Prediction impacts of climate change on the potential habitat of Valeriana sisymbrifolia in the Isfahan province Mahdi khoshbakht m khoshbakht@na iut ac ir September 13 2013 Departmentof Natural Resources Isfahan University of Technology Isfahan 84156 83111 IranDegree MSc Language PersianSupervisor s mostafa Tarkesh Esfahani M tarkesh@cc iut ac ir Abstract Species distribution modeling is one of the useful tools to produce potential maps of plant specieswhich can used to assess a lot of things about ecological and plant geographical range Thesemodels define relationship between the plant species and their environment based on fieldobservations they can improve ecological interpretation and assessment of bio geographicalhypothesis In recent years these models applied to produce potential distribution map andrecognize as appropriate way to express management and conservation plant and animal species This study aims to predict the potential distribution of valerian Valeriana sisymbriifolia by usingvarious statistical models under the impact of climate change during 2030 and 2080 in Isfahanprovince This plant is a valuable species in the traditional medicine and used for nerves sedative hypnotic anticonvulsant etc At this study 50 sites were picked up using random sampling methodand species occurrence presence absence were recorded for each site Climatic and physiographicmaps with a resolution 1 km was prepared using GIS The relationship between speciesoccurrences and environmental factors was defined by the maximum entropy GLM and GAM in Rsoftware Model evaluation show a good performance for GLM model AUC 98 The best modelswere selected and developed on future climatic maps A2 Hadcm3 According to results all threemodels show a decline trend in geographic distribution of species because the rainfall will reduceas well as the temperature increases during the years of 2030 and 2080 Keywords Ecological niche climate change scenarios generalized additive models generalizedlinear model Maxent potentially Map Species
استاد راهنما :
مصطفي تركش اصفهاني
استاد مشاور :
حسين بشري، مسعود برهاني
استاد داور :
رضا جعفري، سعيد پورمنافي
