Title : ( Modelling potential distribution of an endemic plant (Ferula Microcolea) based on bioclimatic variables in Iran )
Authors: zahra nazari , Hamid Ejtehadi , Omid Mirshamsi , Farshid Memariani ,Access to full-text not allowed by authors
Abstract
Ferula microcolea (Boiss.) Boiss. is an endemic plant in Iran that some of its habitats have been destroyed in recent decades. Since the bioclimatic variables which determine its po- tential distribution, are poorly defined, a specific analysis is needed. In this study, the species distribution modelling were used for reaching these goals: (i) identifying the biocli- matic factors that constrain the distribution of this species in Iran, (ii) generating a potential habitat suitability map for F. microcolea using Maxent (iii) determining the high suitable areas where this species could be present (iv) evaluating the final model. In all, 66 records of F. microcolea in Iran were used as the occurrence data. Nineteen bioclimatic variables were obtained from the WorldClim database and collinear variables were removed in a sequential manner with regarding the ecological knowledge of plant. The maxent param- eters were optimised with ENMeval R package. For evaluating the performance of the Maxent model, the Area under curve value (AUC) was calculated. The results showed that the model performance was excellent. Analysis of variable contribution demonstrated that the distribution of this species is most influenced by the Annual Mean Temperature. We revealed that the area about 22,005.5 km2 are high suitable for F. microcolea that principally located in Chaharmahal and Bakhtiari province. Although this region is rich in biodiver- sity, greater focus should be paid to its conservation. Our findings provide a scientific basis for the habitats conservation of this species in Iran.
Keywords
, bioclimatic variable, Ferula microcolea, habitat suitability, Maxent@article{paperid:1086522,
author = {Nazari, Zahra and Ejtehadi, Hamid and Mirshamsi, Omid and Memariani, Farshid},
title = {Modelling potential distribution of an endemic plant (Ferula Microcolea) based on bioclimatic variables in Iran},
journal = {Acta Botanica Hungarica},
year = {2022},
volume = {64},
number = {2},
month = {April},
issn = {0236-6495},
pages = {157--172},
numpages = {15},
keywords = {bioclimatic variable; Ferula microcolea; habitat suitability; Maxent},
}
%0 Journal Article
%T Modelling potential distribution of an endemic plant (Ferula Microcolea) based on bioclimatic variables in Iran
%A Nazari, Zahra
%A Ejtehadi, Hamid
%A Mirshamsi, Omid
%A Memariani, Farshid
%J Acta Botanica Hungarica
%@ 0236-6495
%D 2022