شماره مدرك :
3959
شماره راهنما :
3737
پديد آورنده :
ملكي نجف آبادي، سعيده
عنوان :

تعيين پارامترهاي زيستگاهي قوچ و ميش اصفهانيOvis orientalis isfahanica در پناهگاه حيات وحش موته با استفاده از سامانه هاي اطلاعات جغرافيايي GIS

مقطع تحصيلي :
كارشناسي ارشد
گرايش تحصيلي :
محيط زيست
محل تحصيل :
اصفهان: دانشگاه صنعتي اصفهان، دانشكده منابع طبيعي
سال دفاع :
1386
صفحه شمار :
ده، 78، [II] ص.: مصور، جدول، نمودار
يادداشت :
ص. ع. به فارسي و انگليسي
استاد راهنما :
محمودرضا همامي
استاد مشاور :
علي رضا سفيانيان ،عبدالرسول سلمان ماهيني
توصيفگر ها :
ترانسكت , روش ENFA
تاريخ نمايه سازي :
22/03/87
استاد داور :
جمال الدين خواجه الدين، منصوره ملكيان
تاريخ ورود اطلاعات :
1396/03/06
كتابنامه :
كتابنامه
رشته تحصيلي :
منابع طبيعي
دانشكده :
مهندسي منابع طبيعي
كد ايرانداك :
ID3737
چكيده فارسي :
به فارسي و انگليسي: قابل رؤيت درنسخه ديجيتال
چكيده انگليسي :
AbstractA Geographic Information System GIS based model using presence only data and astatistical approach were used to predict suitability of habitat for Ovis OrientalisIsfahanica in Moteh wildlife refuge The management driven study focused on rare andeconomically valuable herbivores during the resource limited season The modelingsoftware Biomapper was used to quantify species habitat suitability and derive habitatsuitability HS maps Also this study compared the ability of two techniques apresence only Ecological Niche Factor Analysis and one presence absence technique Generalized Linear Modeling to model and predict the distribution of specie This studyis the first attempt to compare their predictive abilities for specie by biomapper in Iran Presence only techniques may be advantageous over traditional presence absenceapproaches because a they avoid potential bias associated with absence data i e uncertainty with the separation of true absences where species are actually absentfrom an area from false absences where speices are present but undetectable toobservers on the surface and b they enable the analysis of a wider range of data sourceswhich can not be analysed using techniques such as GLM and GAM i e data notcollected from dedicated effort based surveys at sea e g public sightings databases However a composite map combining the predictions of all techniques provided the bestoverall representation of actual harbour porpoise distribution in the study area Therefore for future modeling a combination of different techniques may be preferential forpredicting species occurrence since the limitations of anyone modeling technique can becompensated by the strengths of another model This study shows that in spring hills and lower area were selected In summer highesthill were selected and in autumn lower area that were nearby area with lowest slopehad selected Totally area with 2200m elevation and 20 30 slope that had coveredwith Artemisia ausheri had been suitable
استاد راهنما :
محمودرضا همامي
استاد مشاور :
علي رضا سفيانيان ،عبدالرسول سلمان ماهيني
استاد داور :
جمال الدين خواجه الدين، منصوره ملكيان
لينک به اين مدرک :

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