Modelling potential distribution of fluvial fish species for expanding conservation knowledge: Case study of the genus Barbus in Iran

Hossein Mostafavi; Jafar Kambouzia

doi:10.22034/ijab.v7i3.575

Authors

Hossein Mostafavi
[email protected]
Department of Biodiversity and Ecosystem Management, Environmental Sciences Research Institute, Shahid Beheshti University, GC, Tehran, Iran.
Jafar Kambouzia Department of Agroecology, Environmental Sciences Research Institute, Shahid Beheshti University, GC, Tehran, Iran.

Vol. 7 No. 3 (2019): June

Articles

June 25, 2019

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Species inhabiting fresh waters are severely influenced by anthropogenic factors. Effective management and conservation plans require high accurate and reliable species distribution forecasts. Here, we modelled potential distribution of the genus Barbus in Iran, based on environmental variables using Species Distribution Models (SDMs). Six environmental predictors (i.e. slope, bankfull width, elevation, mean air temperature, range of air temperature and annual precipitation) were applied for modelling. The models were selected among different technique (GLM, GAM, CTA, SRE, GBM, RF, MARS, and FDA) which their results were summarized through ensemble forecasting approaches. According to the TSS (True Skill Statistic), the accuracy of the implemented models was greater than 0.8. The results showed that the projected distributions not only were observed in the same recorded basins but also in the new basins. Presented results deepen the conservation knowledge in Iran and act as a guidance for management decisions aimed at legal identification of critical habitats for species as well as informing them for translocation of threatened or captive-bred populations.

Mostafavi, H., & Kambouzia, J. (2019). Modelling potential distribution of fluvial fish species for expanding conservation knowledge: Case study of the genus Barbus in Iran. International Journal of Aquatic Biology, 7(3), 132–139. https://doi.org/10.22034/ijab.v7i3.575

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