Abbaspour, K.C., Faramarzi, M., Ghasemi, S.S. and Yang, H., 2009. Assessing theimpact of

climate change on water resources in Iran. Water Resources Research. 45(10), 1-16. https://doi.org/10.1016/j.agwat.2024.108774

Abdelaal, T., Michielsen, L., Cats, D., Hoogduin, D., Mei, H., Reinders, M.J. and Mahfouz, A., 2019. A comparison of automatic cell identification methods for single-cell RNA sequencing data. Genome Biology. 20, 194. https://doi.org/10.1186/s13059-019-1795-z

Bond, F.W., Hayes, S.C., Baer, R.A., Carpenter, K.M., Guenole, N., Orcutt, H.K., Waltz, T. and Zettle, R.D., 2011. Preliminary psychometric properties of the Acceptance and Action Questionnaire-II: a revised measure of psychological inflexibility and experiential avoidance. Behavior Therapy. 42(4), 676–688. https://doi.org/10.1016/j.beth.2011.03.007

Buisson, L., Thuiller, W., Lek, S., Lim, P.U.Y. and Grenouillet, G., 2008. Climate change hastens the turnover of stream fish assemblages. Global Change Biology. 14, 2232-2248. https://doi.org/10.1111/j.1365-2486.2008.01657.x

Coad, B.W., 2018. Freshwater fishes of Iran. Retrieved from https://briancoad.com/Species%20Accounts/Contents%20new.

Cheung, W.W.L., Lam, V.W.Y., Sarmiento, J.L., Kearney, K., Watson, R. and Pauly, D., 2009. Projecting global marine biodiversity impacts under climate change scenarios. Fish and Fisheries. 10, 235–251. https://doi.org/10.1111/j.1467-2979.2008.00315.x

Çiçek, E., R. Fricke and S.S. Birecikligil., 2015. Freshwater fishes of Turkey: a revised and updated annotated checklist. Biharean Biologist. 9(2), 141-157.

Davis, M. B., 1986. Climatic instability, time lags, and community disequilibrium. IN: Community ecology. Ed. by Diamond, J. and T.J. Case. Harper and Row, Community Ecology. New York, 269-284.

Elith, J., Graham, C. H., Anderson, R.P., Dudík, M., Ferrier, S., Guisan, A., and Zimmermann, N.E., 2006. Novel methods improve prediction of species’ distributions from occurrence data. Ecography. 29, 129-151. https://doi.org/10.1111/j.2006.0906-7590.04596.x

Elith, J., Phillips, S. J., Hastie, T., Dudík, M., Chee, Y.E. and Yates, C.J., 2011. A statistical explanation of MaxEnt for ecologists. Diversity and Distribution.17, 43-57. https://doi.org/10.1111/j.1472-4642.2010.00725.x

Filipe, A. F. et al., 2013. Forecasting fish distribution along stream networks: brown trout (Salmo trutta) in Europe. Diversity and Distribution. 19, 1059–1071. https://doi.org/10.1111/ddi.12086

Guisan, A., Thuiller, W. and Zimmermann, N., 2017. Habitat suitability and distribution models with applications in R. In Habitat Suitability and Distribution Models: With Applications in R (Ecology, Biodiversity and Conservation, p. I). Cambridge: Cambridge University Press.

Heikkinen, R. K. et al., 2006. Methods and uncertainties in bioclimatic envelope modelling under climate change. Progress in Physical Geography. 30, 751–777. https://doi.org/10.1177/0309133306071957

Heino, J., Virkkala, R. and Toivonen, H., 2009. Climate change and freshwater biodiversity: detected patterns, future trends and adaptations in northern regions. Biological Reviews. 84, 39-54. https://doi.org/10.1111/j.1469-185X.2008.00060.x

Keivany, Y., Nasri, M., Abbasi, K. and Abdoli, A., 2016. Atlas of Inland Water Fishes of Iran. Iran Department of Environment. (In Persian with English abstract)

Kim, Z., Shim, T., Koo, Y. M., Seo, D., Kim, Y.O., Hwang, S. J. and Jung, J., 2020. Predicting the impact of climate change on freshwater fish distribution by incorporating water flow rate and quality variables. Sustainability. 12, 10001. https://doi.org/10.3390/su122310001

Leathwick, J. R., 1998. Are New Zealand’s Nothofagus species in equilibrium with their environment?. Journal of Vegetation Science. 9, 719–732. https://doi.org/10.2307/3237290

Lobo, J.M., Jiménez‐Valverde, A. and Real, R., 2008. AUC: a misleading measure of the performance of predictive distribution models. Global Ecology and Biogeography. 17, 145-151. https://doi.org/10.1111/j.1466-8238.2007.00358.x

Maki, T., Mustafavi, H., Matkan, A. A. and Aqiqi, H., 2019. Modeling the effects of climate change on the migration of elephant fish (Huso huso Linnaeus, 1754) in the rivers of the southern basin of the Caspian Sea, Journal of Aquaculture Sciences. 8(2), 15-23. (In Persian with English abstract).

Makki, T., Mostafavi, H., Matkan, A.A. and Aghighi H., 2021. The effects of climate change on the distribution of an invasive fish in Iran: Gambusia holbrooki (Girard, 1859). Journal of Applied Ichthyological Research. 9(1), 1-8. (In Persian with English abstract)

Makki, T., Mostafavi, H., Matkan, A.A., Valavi, R., Hughes, R.M., Shadloo, S., Aghighi, H., Abdoli, A., Teimori, A., Eagderi, S.,  and Coad, B.W., 2023a. Predicting climate heating impacts on riverine fish species diversity in a biodiversity hotspot region. Scientific Reports. 13(1), 14347. https://doi.org/10.1038/s41598-023-41406-9

Makki, T., Mostafavi, H., Matkan, A.A., Aghighi, H., Valavi, R., Yung En Chee, Y.E., and Teimori, A., 2023b. Impacts of climate change on the distribution of riverine endemic fish species in Iran, a biodiversity hotspot region Freshwater Biology. 68(6), 1007–1019. https://doi.org/10.1111/fwb.14081

Margules, C. R., and Pressey, R. L., 2000. Systematic conservation planning. Nature. 405, 243-253.

Mostafavi, H., Pletterbauer, F., Coad, B.W., Mahini, A.S., Schinegger, R., Unfer, G., Trautwein C. and Schmutz, S., 2014. Predicting presence and absence of trout (Salmo trutta) in Iran. Limnologica. 46,1-8. https://doi.org/10.1016/j.limno.2013.12.001

Mostafavi, H., Rashidian Duleskani, M. and Valavi, R., 2018. Modeling of climate change effect on distribution of Alburnus filippii Kessler, 1877 in Iran. Applied Ichthyology Researches. 6(4), 1-12. (In Persian with English abstract).

Mostafavi, H., Kordjazi, Z., Valavi, R., Shafizadeh-Moghadam, H., Kambouzia, J. and Infante, D.M., 2019a. Ensemble Modelling of Sensitive Stream Fish Species Distributions in Iran: Expanding knowledge to Aid Species Conservation. American Fisheries Society Symposium. 90, 1-5.

Mostafavi, H., Teimori, A., Schinegger. R. and Schmutz, S., 2019b. A new fish based multi-metric assessment index for cold-water streams of the southern Caspian Sea Basin in Iran. Environmental Biology of Fishes. 102, 645-662. https://doi.org/10.1007/s10641-019-00860-z

Niknam, A. and Asadi Moghadam, B., 2018. Study of the effects of climate change on the water ecosystems of the country and appropriate strategies to reduce and control its negative effects with an emphasis on the Caspian Sea, National Aquatic Conference, Bushehr. (In Persian with English abstract).

Pearson, R. G., Raxworthy, C. J., Nakamura, M. and Townsend Peterson, A., 2007. Predicting species distributions from small numbers of occurrence records: a test case using cryptic geckos in Madagascar. Journal of Biogeography. 34, 102-117. https://doi.org/10.1111/j.1365-2699.2006.01594.x

Phillips, S.J., Anderson, R.P. and Schapire, R.E., 2006. Maximum entropy modeling of species geographic distributions. Ecological Modelling. 190, 231-259. https://doi.org/10.1016/j.ecolmodel.2005.03.026

Ricciardi, A. and Rasmussen, J. B., 1999. Extinction rates of North American freshwater fauna. Conservation Biology. 13, 1220-1222. https://doi.org/10.1046/j.1523-1739.1999.98380.x

R Core Team., 2018. R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing. Vienna.

Sharibi, Z., Khalilpour, A. and Mohammad Asgari, H., 2018. Modeling the habitat desirability of the marbled duck (Marmaronetta angustirostris) using the maximum entropy method. Animal Environment Research. 10(2), 64-57. (In Persian with English abstract)

Soboti, Y., 2011. Warm Earth: Armaghane of the 21st century, Institute of Geography and Cartography of Gitanos, Tehran. (In Persian with English abstract)

Staudinger, M. D., Carter, S. L., Cross, M. S., Dubois, N. S., Duffy, J. E., Enquist, C., Griffis, R., Hellmann, J. J., Lawler, J. J., Morrison, S. A., Sneddon, L., Stein, B. A., Thompson, L. M. and Turner, W., 2013. Biodiversity in a changing climate: A synthesis of current and projected trends in the US. Frontiers in Ecology and the Environment. 11(9), 465-473. https://doi.org/10.1890/120272

Tuan, T.A., Long, H.V., Kumar, R., Priyadarshini, I. and Son, N.T.K., 2019. Performance evaluation of Botnet DDoS attack detection using machine learning. Evolutionary Intelligence. 1-12. https://doi.org/10.1007/s12065-019-00310-w

Valavi, R., Elith, J., Lahoz‐Monfort, J.J. and Guillera‐Arroita, G., 2019. block CV: An r package for generating spatially or environmentally separated folds for k‐fold cross‐validation of species distribution models. Methods in Ecology and Evolution. 10, 225-232. https://doi.org/10.1111/2041-210X.13107

Verdipour, M., 2013. Application of habitat suitability modeling in wildlife management, first national conference on environment, energy and biodefense, Tehran. (In Persian with English abstract)

Yousefi, M., Jouladeh-Roudbar, A. and Kafash, A., 2020. Using endemic freshwater fishes as proxies of their ecosystems to identify high priority rivers for conservation under climate change. Ecological Indicators. 112, 106-137. https://doi.org/10.1016/j.ecolind.2020.106137