6664

6215

كارشناسي ارشد

محيط زيست

اصفهان: دانشگاه صنعتي اصفهان، دانشكده منابع طبيعي

1390

دوازده، 94ص.: مصور، جدول، نمودار

ص.ع. به فارسي و انگليسي

محمدرضا همامي

سيما فاخران، حسين بشري

13/2/91

مصطفي تركش اصفهاني، حسين مرادي

1396/10/06

كتابنامه

منابع طبيعي

مهندسي منابع طبيعي

ID6215

به فارسي و انگليسي: قابل رويت در نسخه ديجيتالي

Modelling Wintering Habitat Suitability of Asiatic Houbara bustard Chlamydotis macqueenii at Landscape Scale Pegah Hamedani Raja Email address p hamedaniraja@in iut ac ir 2 14 2012 Department Of Natural Resources Isfahan University of Technology Isfahan 84156 83111 Iran Degree M Sc language Farsi Mahmoud reza Hemami Email address mrhemami@cc iut ac irAbstractThe Asiatic Houbara bustard Chlamydotis macqueenii is a rare bird of the family Otididae This birdinhabits sandy and stony semi deserts and is adapted to arid conditions where trees are absent and both shrubcover and herb layer are sparse Asiatic houbara has undergone rapid population declines over threegenerations 20 years owing largely to unsuitable hunting levels as well as habitat loss and has thereforebeen classified as Vulnerable by IUCN There have been several studies on the ecology of houbarathroughout its geographical range but the present knowledge has not yet been applied for building amanagement tool to assist in the species conservation decision making Habitat suitability modelling usingBayesian Belief Networks BBNs is a suitable method to elicit species habitat knowledge BBNs are modelsthat graphically and probabilistically represent relationships among variables They are valuable and flexibletools for integrating available expert knowledge and empirical data thus strengthening conservation decisionwhen empirical data is lacking The study area was located in the eastern semi arid deserts of the Isfahan central Iran In this study an influence diagram representing houbara bustard habitat variables and therelationships between them was developed The influence diagram was then converted to an initial BBNwhere each node represents a set of states and probabilities Quantification of variables relationships wasperformed in Netica 4 16 software Different information resources including published literatures expertknowledge interview with farmers and local people and data obtained from field surveys were used fordifferent stages of model development The behaviour of the model was explored using sensitivity analysis Model evaluation was accomplished by application of hypothetical data and Houbara actual presence data inthe study area 59422 3 km2 Security and food availability were recognized as the most important variablesaffecting Houbara bustard habitat suitability at landscape scale The importance of other influencing variableswas also determined through the sensitivity analysis procedure Model evaluation applying houbara presencedata confirmed the accuracy of the model s predictions The present model predicts changes in winteringhabitat suitability of Houbara bustard by changes on the landscape The model can therefore be used as avaluable tool for predicting future changes in Houbara habitat suitability and can assist in settingconservation priorities for the species Keywords Houbara Bustard Habitat suitability modelling Bayesian Belief Networks Sensitivity analysis Netica

محمدرضا همامي

سيما فاخران، حسين بشري

مصطفي تركش اصفهاني، حسين مرادي