Dr.Hossein Bashari

Dr.Hossein Bashari

Dr.Hossein Bashari
hbashari@iut.ac.ir
Google Scholar
Office
Isfahan University of Technology Department of Natural Resources
Phone
+98 31 33913576
Fax
+98 31 33912840
Positions
Assoc. Prof. in Department of Natural Resources
Research Interests
Apllication of Bayesian Belief Network Modelling in Natrual Resources Management
Building Decision support Tools in Natural resources Applications
Range mangement
Analysis of rangeland Ecosystems
Modelling
type: Journal
Title Conference / Journal Date
Establishment and optimization of hairy root cultures of Acanthophyllum species: a novel platform for enhanced saponin production BMC PLANT BIOLOGY
Spatial Analysis of Astragalus verus Olivier Dieback: Understanding Patterns and Implications for Conservation in Iranian Rangelands Ecology and Evolution
Exploring phytochemical variability in Iranian Acanthophyllum (Caryophyllaceae) species: insights for enhanced medicinal and industrial utilization BMC PLANT BIOLOGY
Modeling habitat suitability for Calligonum species using remote sensing and environmental data to support desert reclamation in central Iran Environmental Challenges
Integrating Multiple-Covariate Distance Sampling and Habitat Modeling to Inform Conservation of the Asian Houbara in Central Iran Ecology and Evolution
Integrating remote sensing and Bayesian modeling for bioclimatic mapping in the central Zagros Mountains, Iran THEORETICAL AND APPLIED CLIMATOLOGY
Developing habitat suitability models for the endangered plant species Kelussia odoratissima Mozaffarian using management data: Application of Bayesian belief network Environmental Challenges
Predicting soil chemical characteristics in the arid region of central Iran using remote sensing and machine learning models Scientific Reports
Prioritizing the Risk of Multiple Invasive Species in the Semiarid Rangelands of Iran: An Ecological Approach to Multicriteria Decision-Making Ecology and Evolution
Spatial modeling of soil chemical properties in an arid region of Central Iran using machine learning and remote sensing data Modeling Earth Systems and Environment
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