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Abstract
Barbus cyri is one of the most abundant species in the Urmia Lake basin, being found across the basin. In this study, the impact of bioclimatic variables on future species distribution, as well as a shift in the species' response to several bioclimatic variables under the present and future conditions across various climatic scenarios, was quantified. Fish specimens were caught at various points of the Urmia Lake basin, and their occurrence was recorded. Using the MaxEnt model, the probability of presence for the species under existing conditions and in the future was simulated across the entire basin. Based on raster maps of the probability of species presence for present and future, response curves for both periods were obtained, and the overlapping area between the two curves was calculated over a gradient of bioclimatic variables. This study came out with the fact that the probability of incidence of the species in the future will significantly decline and will be confined to the southern parts of the basin. Moreover, the species will respond differently towards bioclimatic variables than the existing trend. The value of existing response curves and the value in the future has declined when compared along a time dimension, with a positive deviation indicating a larger change in habitat suitability of this species in the future.
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The authors transfer the copyrights of their papers to the Iranian Society of Ichthyology. However, the information could be used in accordance with the Creative Commons licence (Attribution-NonCommercial 4.0 International (CC BY-NC 4.0)
References
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- Comte, L.; Olden, J.D.; Tedesco, P.A.; Ruhi, A. & Giam, X. 2021. Climate and land-use changes interact to drive long-term reorganization of riverine fish communities globally. Proceedings of the National Academy of Sciences 118(27): e2011639118-e2011639118.
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- Kuhn, M. (2021), caret: Classification and Regression Training.
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- Rahel, F.J., & Olden, J.D. 2008. Assessing the Effects of Climate Change on Aquatic Invasive Species, Conservation Biology 22(3): 521-533.
- Robert J. Hijmans, Steven Phillips, John Leathwick, and Jane Elith (2020), dismo: Species Distribution Modeling, R package.
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References
Aldous, A.; Fitzsimons, J.; Richter, B. & Bach, L. 2011. Droughts, floods and freshwater ecosystems: evaluating climate change impacts and developing adaptation strategies. Marine and Freshwater Research 62(3): 223-231.
Comte, L.; Olden, J.D.; Tedesco, P.A.; Ruhi, A. & Giam, X. 2021. Climate and land-use changes interact to drive long-term reorganization of riverine fish communities globally. Proceedings of the National Academy of Sciences 118(27): e2011639118-e2011639118.
Eagderi, S.; Mouludi-Saleh, A.; Esmaeli, H.R.; Sayyadzadeh, G. & Nasri, M. 2022. Freshwater lamprey and fishes of Iran; a revised and updated annotated checklist-2022. Turkish Journal of Zoology 46(6): 500-522.
Elith, J.; Phillips, S.J.; Hastie, T.; Dudík, M.; Chee, Y.E. & Yates, C.J. 2011. A statistical explanation of MaxEnt for ecologists: Statistical explanation of MaxEnt. Diversity and Distributions 17(1): 43-57.
Fajardo, J.; Corcoran, D.; Roehrdanz, P.R.; Hannah, L. & Marquet, P.A. 2020. GCM compareR: A web application to assess differences and assist in the selection of general circulation models for climate change research. Methods in Ecology and Evolution 11(5): 656-663.
Ghasemi, H.; Roudbar J.A.; Eagderi, S.; Abbasi, K.; Vatandoust, S.; Esmaeili, H.R. 2015. Ichthyofauna of Urmia basin: Taxonomic diversity, distribution and conservation. Iranian Journal of Ichthyology 2(3): 177-193.
Heino, J.; Virkkala, R. & Toivonen, H. 2009. Climate change and freshwater biodiversity: detected patterns, future trends and adaptations in northern regions. Biological Reviews 84(1): 39-54.
Jalili, P.; Eagderi, S.; Nikmehr, N. & Keivany, Y. 2015. Descriptive osteology of Barbus cyri (Teleostei: Cyprinidae) from southern Caspian Sea basin. Iranian Journal of Ichthyology 2(2): 105-112.
Kim, Z.; Shim, T.; Koo, Y.-M.; Seo, D.; Kim, Y.-O.; Hwang, S.-J. & Jung, J. 2020. Predicting the impact of climate change on freshwater fish distribution by incorporating water flow rate and quality variables. Sustainability 12(23): 10001.
Kuhn, M. (2021), caret: Classification and Regression Training.
Mouludi-Saleh, A.; Eagderi, S. & Poorbagher, H. 2024a. How the morphology of two closely related riverine sympatric species are reflected in ecological niche overlapping? A case study of two Capoeta species. Limnology 25(3): 267-275.
Mouludi-Saleh, A.; Eagderi, S.; Poorbagher, H. & Esmaeili, H. 2024b. Ecological niche overlap from occurrence of two cyprinid sympatric species, Paracapoeta trutta and Capoeta damascina in the Sirvan River, Persian Gulf Basin. Nova Biologica Reperta 11(1): 77-85.
Parding, K.M.; Dobler, A.; McSweeney, C.F.; Landgren, O.A.; Benestad, R.; Erlandsen, H.B.; Mezghani, A.; Gregow, H.; Räty, O. & Viktor, E. 2020. GCMeval--An interactive tool for evaluation and selection of climate model ensembles. Climate Services 18: 100167.
Rahel, F.J., & Olden, J.D. 2008. Assessing the Effects of Climate Change on Aquatic Invasive Species, Conservation Biology 22(3): 521-533.
Robert J. Hijmans, Steven Phillips, John Leathwick, and Jane Elith (2020), dismo: Species Distribution Modeling, R package.
Rodrigues, T.; Kratina, P.; Setubal, R.B.; Ferro, J.L.S.; Hideki Abe, D.; Costa, L.O.; Casa Nova, C.; Farjalla, V.F. & Pires, A.P.F. 2024. Interaction between climate change scenarios and biological invasion reveals complex cascading effects in freshwater ecosystems. Global Change Biology 30(10): e17540.
Sadi A. 2021. Current and future potential habitat suitability prediction of an endemic freshwater fish species Seminemacheilus lendlii (Hankó, 1925) using Maximum Entropy Modelling (MaxEnt) under climate change scenarios: implications for conservation. Journal of Limnology and Freshwater Fisheries Research 7: 83-91.
Sauz‐Sánchez, J.D.J.; Rodiles‐Hernández, R.; Andrade‐Velázquez, M. & Mendoza‐Carranza, M. 2021. Modelling the potential distribution of two tropical freshwater fish species under climate change scenarios, Aquatic Conservation: Marine and Freshwater Ecosystems 31(10): 2737-2751.
Tabasinezhad, N.; Mousavi-Sabet, H. & Mostafavi, H. 2024. Forecasting habitat changes of Vimba persa (Pallas, 1814) under climate change using machine learning techniques in the southern Caspian Sea basin. International Journal of Aquatic Biology 12(1): 109-119.
Whitney, J.E.; Al-Chokhachy, R.; Bunnell, D.B.; Caldwell, C.A.; Cooke, S.J.; Eliason, E.J.; Rogers, M.; Lynch, A.J. & Paukert, C.P. 2016. Physiological basis of climate change impacts on North American inland fishes. Fisheries 41(7): 332-345.
Zuur, A.F.; Ieno, E.N. & Smith, G.M. 2007. Analysing ecological data, Springer, USA.