8257

7655

كارشناسي ارشد

منابع طبيعي

اصفهان: دانشگاه صنعتي اصفهان، دانشكده منابع طبيعي

1392

چهارده،127ص.: مصور،جدول،نمودار

ص.ع.به فارسي و انگليسي

مصطفي تركش اصفهاني، حسين بشري

حسين بشري، محمدرضا وهابي

19/9/92

مجيد ايرواني، محمدرضا همامي

مهندسي منابع طبيعي

ID7655

به فارسي و انگليسي: قابل رويت در نسخه ديجيتالي

Abstract Modeling plant species distribution is based on the relationships of plant species presence with environmental variables Using these models enables managers to predict the potential habitats from some environmental variables Nowadays there is more attention on presenting the habitat potential mapping for various species by fast growing geo statistical methods along with improvements in geographic information systems This study aimed to identify environmental variables affecting on Ferula ovina Boiss distribution and presenting its potential distribution map using Generalized Additive Model GAM and Bayesian Belief Network BBN in a local scale The presence and absence of the species in sites presence sites absence sites were collected using a stratified random sampling approach in Feridoonshar rangeland located in Isfahan province Some environmental maps were produced for the entire studied area using geo statistical methods including krigging and inverse distance weight method The relationships of presence and absence of the species with the environmental variables were modeled using GAM and BBN methods According to the GAM model the presence of Ferula ovina was significantly correlated with some environmental variables including the average annual temperature range of annual temperature soil caco content soil saturation percentage organic matter content and silt and clay contents The sensitivity analysis of BBN model revealed that the grazing pressure has more influence than environmental variables on the species distribution in the studied area Also organic matter was identified as the most important determinant environmental variables with the presence of the species According to the response curves of the species the chance of the species occurrence were more in the habitats with average annual temperature to centigrade range of annual temperature centigrade to percent of soil caco to percent of organic matter to percent of soil saturation to percent of silt and to percent of clay in its soil texture GAM model accuracy was then evaluated using independent data The produced species distribution model had high accuracy in a local scale indicated by calculated Kappa coefficient and ROC area under curve plots being and respectively According to GAM results hectare or of the study area was recognized as suitable area for the species occurrence The BBN model accuracy was also assessed by the obtained data from independent sites The prediction of habitat suitability of Ferula ovina using BBN model was compared with the measured percentage cover of the species The BBN model enables to predict the habitat suitability of the species appropriately According to the results Ferula ovina has relatively broad ecological amplitude and the capability to regenerate naturally if its habitat properly managed The studied modeling approaches can be used broadly to achieve appropriate management plans for allocating appropriate areas for rehabilitation and protection of other valuable native plant species in rangeland ecosystems Keywords Species distribution model Ferula ovina General additive model Bayesian belief network Geographic information system Feridonshahr Isfahan province PDF created with pdfFactory trial version www pdffactory com

مصطفي تركش اصفهاني، حسين بشري

حسين بشري، محمدرضا وهابي

مجيد ايرواني، محمدرضا همامي