Abolmaali, M. (2014). Evaluation of the effect of climate change on the distribution of khashag and mountain celery species in Isfahan province. Pasture master's thesis. Pasture Department. Faculty of Natural Resources. Isfahan University of Technology. Iran. 103 p.
Adhikari, P., Lee, Y.H., Poudel, A., Lee, G., Hong, S.H. & Park, Y.S. (2023). Predicting the impact of climate change on the habitat distribution of Parthenium hysterophorus around the world and in South Korea. Biology. 12(1), 84.
Ahmadi, P. & Mustafavi. N. (2022). Predicting the effects of climate change on the distribution of Mesopotamichthys sharpeyi (Günther, 1874) in different climate scenarios. Iranian Remote Sensing and GIS Journal. (In Persian).
Akbari, M., Jafari, W. & Saadat, F. (2011). Determining the potential habitat of the yellow species using the integration of GIS and remote sensing. Remote sensing and geographic information system in natural resources. 1(1), 15-30.
Babaei Dehkordi, E., Naqipour.A. & Heydarian. A. (2022). Potential geographical distribution of Jashir species (Prangos ferulacea (L.) Lindl.) Under climate change scenarios in Chaharmahal and Bakhtiari province. Journal of Plant Ecosystem Protection. 10(20), 207-224.
Canturk, U. & Kulaç, Ş. (2021). The effects of climate change scenarios on Tilia ssp. in Turkey. Environmental Monitoring and Assessment. 193(12), 771.
Chegini, S., Tafvizi, F. & Noorbazargan, H. (2020). Effect of Valeriana Sysimberifolia Extract on VEGF Expression in A549 Cell Line. Journal of Babol University of Medical Sciences. 22(1), 222-228.
Coulibaly, A., Avakoudjo, H.G., Idohou, R., Vodounnon, E.J., Diallo, S. & Cherif, M. (2023). Impact of climate change on the distribution of Bombax costatum Pellegr. & Vuillet in Mali. West Africa. Trees. Forests and People. 11, 100359.
Del Barrio, G., Alvera, B., Puigdefabregas, J. & Diez, C. (1997). Response of high mountainlandscape to topographic variables: Central Pyrenees.Landscape Ecology. 12(2), 95-115.
Elith, J., Kearney, M. & Phillips, S. )2010(. The art of modelling range‐shifting species. Methods in ecology and evolution. 1(4), 330-342.
Fakhimi, E., Khodaqoli, M., Sabohi, R., Yousefi, Sa. & Shirmardi, Hamza Ali (2022). The effect of climate change on the geographical distribution of Bromus tomentellus species in Central Zagros (Chaharmahal and Bakhtiari Province). The third national conference on natural resources and sustainable development in Zagros, Shahrekord. (In Persian).
Fang, J., Wang, Z., Tang, Z. & Lin, X. (2020). Maximum entropy model-based estimation of vegetation distribution in China. Scientific Data. 7(1), 1-12.
Fricko, O., Havlík, P., Rogelj, J., Klimont, Z., Gusti, M., Johnson, N. & Valin, H. (2017). The marker quantification of the Shared Socioeconomic Pathway 2. A middle-of-the-road scenario for the 21st century. Global Environmental Change. 42, 251-267.
Gao, T., Xu, Q., Liu, Y., Zhao, J. & Shi, J. (2021). Predicting the potential geographic distribution of Sirex nitobei in China under climate change using maximum entropy model. Forests. 12(2), 151.
Gaston, A. & Garcia-Vinas, J.I. (2011). Modelling species distributions with penalised logistic regressions. A comparison with maximum entropy models. Ecological modelling. 222(13), 2037-2041.
HamadAmin, B. A. & Khwarahm, N. R. (2023). Mapping Impacts of Climate Change on the Distributions of Two Endemic Tree Species under Socioeconomic Pathway Scenarios (SSP). Sustainability. 15(6), 5469.
Heydari, F., Sabohi, R., Khodaqoli, M. & Salehpour, S. (2021). Evaluation of the effects of climate change on the habitat of Stipa arabica species in Kohgiluyeh and Boyer Ahmad provinces. The fifth national conference on climate change and its impact on agriculture and environment. Urmia. (In Persian).
IPCC. (2014). Climate Change 2014. Impacts, Adaptation, and Vulnerability. Part A: Global and Sectoral Aspects. Contribution of Working Group II to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change
IPCC. (2013). Climate Change 2013. The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change.
Khoshbakht, M. (2013). Prediction impacts of climate change on the potential habitat of Valeriana sisymbrifolia in the Isfahan province. Prediction impacts of climate change on the potential habitat of Valeriana sisymbrifolia in the Isfahan province. Master's thesis. Isfahan University of Technology. Isfahan Iran.
Liu, S., Wang, S., Zhang, Y., Wu, X. & Feng, X. (2021). Impacts of climate change on the distribution of plant species in Asia: a meta-analysis based on ecological niche modeling. Regional Environmental Change, 21(2), 1-13.
Mehdizadeh, S., Ahmadi, F. & Kouzehkalani Sales, A. (2023). Development of wavelet-based hybrid models to enhance daily soil temperature modeling: application of entropy and τ-Kendall pre-processing techniques. Stochastic Environmental Research and Risk Assessment, 37(2), 507-526.
Mirhashemi, H., Heydari, M., Ahmadi, K., Karami, O., Kavgaci, A., Matsui, T. & Heung, B. (2023). Species distribution models of Brant's oak (Quercus brantii Lindl.): The impact of spatial database on predicting the impacts of climate change. Ecological Engineering. 194. 107038.
Momeni Damaneh, J., Tajbakhsh, S.M., Ahmadi, J. & Safdari, A.A. (2023). Comparison of species distribution models in determining the habitat landscape of Pistacia vera L. specie in Razavi Khorasan province. Water and Soil Management and Modeling. 3(4), 77-92. (In Persian)
Naghipour Borj, A.A., Haidarian Aghakhani, M. & Sangoony, H. (2019). Application of ensemble modelling method in predicting the effects of climate change on the distribution of Fritillaria imperialis L. Journal of Plant Research (Iranian Journal of Biology). 32(3), 747-758.
Ngarega, B.K., Masocha, V.F. & Schneider, H. (2021). Forecasting the effects of bioclimatic characteristics and climate change on the potential distribution of Colophospermum mopane in southern Africa using Maximum Entropy (MaxEnt). Ecological Informatics, 65, 101419.
O’Neill, B.C., Kriegler, E., Ebi K.L., Kemp-Benedict, E., Riahi K., Rothman D.S., van Ruijven, B.J., Van Vuuren, D.P., Birkmann, J., Kok, K., Levy, M. & Solecki, W. (2017). The roads ahead: Narratives for shared socioeconomic pathways describing world futures in the 21st century. Global Environmental Change 42, 169–180.
Pashmforosh, N. & Ahmedabadi, M. (2020). Optimization of tissue culture and regeneration of valerian medicinal plant (Valeriana officinalis). Journal of Plant Research (Scientific). 33(1), 156-166.
Patasaraiya, M.K., Devi, R.M., Sinha, B. & Bisaria, J. (2023). Predicting Impacts of Climate Change on Teak and Sal Forests in Central India Using Maximum Entropy Modeling: an Approach for Future Conservation and Silvicultural Strategies. Forest Science. fxad014.
Qi, Y., Yu, H., Fu, Q., Chen, Q., Ran, J. & Yang, Z. (2022). Future changes in drought frequency due to changes in the mean and shape of the PDSI probability density function under RCP4. 5 scenario. Frontiers in Earth Science. 10, 857885.
Rezayi Zaman, M., Massah Bavani, A.R. & Javadi, S. (2023). Evaluation of the effects of SSP scenarios of Coupled Model Intercomparison Project Phase 6 (CMIP6) on water resources and agricultural crop in Hashtgerd region with the approach of applying an adaptation strategy. Journal of Environmental Science and Technology. 24(12), 93-107.
Riahi, K., Van Vuuren, D.P., Kriegler, E., Edmonds, J., O’Neill, B. C., Fujimori, S. & Lutz, W. (2017). The Shared Socioeconomic Pathways and their energy, land use, and greenhouse gas emissions implications: An overview. Global Environmental Change.42. 153-168.
Riahi, K., Van Vuuren, D.P., Kriegler, E., Edmonds, J., O’Neill, B.C., Fujimori, S., Bauer, N., Calvin, K., Dellink, R., Fricko, O., Lutz, W., Popp, A., Cuaresma, J.C., Samir, K.C., Leimbach, M., Jiang, L., Kram, T., Rao, S., Emmerling, J., Ebi, K., Hasegawa, T., Havlik, P., Humpenöder, F., Da Silva L.A., Smith, S., Stehfest, E., Bosetti, V., Eom, J., Gernaat, D., Masui, T., Rogelj, J., Strefler, J., Droue, T.L., Krey, V., Luderer, G., Harmsen, M., Takahashi, K., Baumstark, L., Doelman, J. C., Kainuma, M., Klimont, Z., Marangoni, G., Lotze-Campen, H., Obersteiner, M., Tabeau, A. & Tavoni, M. (2017) The Shared Socioeconomic Pathways and their energy, land use, and greenhouse gas emissions implications: An overview. Global Environmental Change, 42, 153–168.
Santos, B.A., Barbosa, D.C.A. & Tabarelli, M. (2007). Directional changes in plant assemblages along an altitudinal gradient in northeast Brazil. Brazilian Journal of Biology. 67(4), 777-779.
Soliman, M.M., Al-Khalaf, A.A. & El-Hawagry, M.S. (2023). Effects of Climatic Change on Potential Distribution of Spogostylum ocyale (Diptera: Bombyliidae) in the Middle East Using MaxEnt Modelling. Insects, 14(2), 120.
Solow, A.R. & Polasky, S. (1994). Measuring biological diversity.Environmental and Ecological Statistics. 1(2), 95-103.
Suleimany, M. (2023). Urban climate justice in hot-arid regions: Vulnerability assessment and spatial analysis of socio-economic and housing inequality in Isfahan. Iran. Urban Climate, 51, 101-612.
Tang, X., Yuan, Y., Li, X. & Zhang, J. (2021). Maximum entropy modeling to predict the impact of climate change on pine wilt disease in China. Frontiers in plant science, 12, 652500.
Wu, X., Tang, Y., Liu, S., Zhao, H. & Li, B. (2022). Impacts of climate change on the distribution of Artemisia sacrorum in the southwestern US based on the maximum entropy model. Environmental Science and Pollution Research, 1-11.
Xu, W., Zhu, S., Yang, T., Cheng, J. & Jin, J. (2022). Maximum entropy niche-based modeling for predicting the potential suitable habitats of a traditional medicinal plant (Rheum nanum) in Asia under climate changconditions. Agriculture, 12(5), 610.
