Tecomella undulata under threat: The impact of climate change on the distribution of a valuable tree species using a machine learning model

PLOS One | https://doi.org/10.1371/journal.pone.0326609 July 9, 2025 17 / 18 11. IPCC. Summary for Policymakers. In: Masson-Delmotte V, Zhai P, Pirani A, Connors SL, Péan C, Berger S, et al., editors. Climate Change 2021: The Physical Science Basis Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge, United Kingdom and New York (NY): Cambridge University Press; 2021. p. 3−32. 12. Zhang J-M, Peng X-Y, Song M-L, Li Z-J, Xu X-Q, Wang W. Effects of climate change on the distribution of wild Akebia trifoliata. Ecol Evol. 2022;12(3):e8714. https://doi.org/10.1002/ece3.8714 PMID: 35356559 13. Warren DL, Glor RE, Turelli M. Environmental niche equivalency versus conservatism: quantitative approaches to niche evolution. Evolution. 2008;62(11):2868–83. https://doi.org/10.1111/j.1558-5646.2008.00482.x PMID: 18752605 14. Mathur M, Mathur P. Ecological niche modelling of Tecomella undulata (Sm.) Seem: an endangered (A2a) tree species from arid and semi-arid environment imparts multiple ecosystem services. Trop Ecol. 2023;65(1):59–80. https://doi.org/10.1007/s42965-023-00311-y 15. Mathur P, Mathur M. Machine learning ensemble species distribution modeling of an endangered arid land tree Tecomella undulata: a global appraisal. Arab J Geosci. 2023;16(2). https://doi.org/10.1007/s12517-023-11229-z 16. Smeraldo S, Bosso L, Salinas‐Ramos VB, Ancillotto L, Sánchez‐Cordero V, Gazaryan S, et al. Generalists yet different: distributional responses to

climate change may vary in opportunistic bat species sharing similar ecological traits. Mammal Review. 2021;51(4):571–84. https://doi.org/10.1111/ mam.12247 17. Mahmoodi S, Heydari M, Ahmadi K, Khwarahm NR, Karami O, Almasieh K, et al. The current and future potential geographical distribution of Nepeta crispa Willd., an endemic, rare and threatened aromatic plant of Iran: Implications for ecological conservation and restoration. Ecological Indicators. 2022;137:108752. https://doi.org/10.1016/j.ecolind.2022.108752 18. Arshad F, Waheed M, Fatima K, Harun N, Iqbal M, Fatima K, et al. Predicting the Suitable Current and Future Potential Distribution of the Native Endangered Tree Tecomella undulata (Sm.) Seem. in Pakistan. Sustainability. 2022;14(12):7215. https://doi.org/10.3390/su14127215 19. Hosseinzadeh MS, Fois M, Zangi B, Kazemi SM. Predicting past, current and future habitat suitability and geographic distribution of the Ira- nian endemic species Microgecko latifi (Sauria: Gekkonidae). Journal of Arid Environments. 2020;183:104283. https://doi.org/10.1016/j. jaridenv.2020.104283 20. Kalia RK, Rai MK, Sharma R, Bhatt RK. Understanding Tecomella undulata: an endangered pharmaceutically important timber species of hot arid regions. Genet Resour Crop Evol. 2014;61(7):1397–421. https://doi.org/10.1007/s10722-014-0140-3 21. Mohsenzadeh S, Amiri AA, Sayyadnia tayyebi N. Lapachol extraction from inner bark stem of Tecomella undulata (Roxb.) Seem. Iranian Journal of Medicinal and Aromatic Plants Research. 2010;26:114–20. https://doi.org/10.22092/ijmapr.2010.6986

22. Salemi M, Mahdi Nezhad Nafiseh, Fakheri Barat Ali, Ijbari H. Study of the Morphological and Physiology Variability of Anarshitan Medicinal Tree (Tecomella undulate). Journal of Plant Ecosystem Conservation. 2020;7:275–94. 23. Jahantighi H, Moghaddam M, Valizadeh M. Investigation on some autecology characteristics of Rohida (Tecomella undulate (Roxb.) seem.) in Sistan and Balouchestan province. Iranian Journal of Medicinal and Aromatic Plants Research. 2019;35:98–108. https://doi.org/10.22092/ ijmapr.2019.121834.2318 24. Zolfaghari Z, Moradi M, Basiri R, Ghasemi A. Evaluation of Tecomella undulata R. stands structure in Bushehr province. Journal of Environmental Science and Technology. 2017;19:49–65. https://doi.org/10.22034/jest.2017.11624 25. Shaban M, Ghehsareh Ardestani E, Ebrahimi A, Borhani M. Climate change impacts on optimal habitat of Stachys inflata medicinal plant in central Iran. Sci Rep. 2023;13(1):6580. https://doi.org/10.1038/s41598-023-33660-8 PMID: 37085511 26. Makki T, Mostafavi H, Matkan AA, Valavi R, Hughes RM, Shadloo S, et al. Predicting climate heating impacts on riverine fish species diversity in a biodiversity hotspot region. Sci Rep. 2023;13(1):14347. https://doi.org/10.1038/s41598-023-41406-9 PMID: 37658153 27. Farashi A, Shariati M. Biodiversity hotspots and conservation gaps in Iran. Journal for Nature Conservation. 2017;39:37–57. https://doi. org/10.1016/j.jnc.2017.06.003 28. Farashi A, Karimian Z. Assessing climate change risks to the geographical distribution of grass species. Plant Signal Behav. 2021;16(7):1913311.

https://doi.org/10.1080/15592324.2021.1913311 PMID: 33866934 29. Veloz SD. Spatially autocorrelated sampling falsely inflates measures of accuracy for presence‐only niche models. Journal of Biogeography. 2009;36(12):2290–9. https://doi.org/10.1111/j.1365-2699.2009.02174.x 30. Boria RA, Olson LE, Goodman SM, Anderson RP. Spatial filtering to reduce sampling bias can improve the performance of ecological niche mod- els. Ecological Modelling. 2014;275:73–7. https://doi.org/10.1016/j.ecolmodel.2013.12.012 31. Shrestha UB, Lamsal P, Ghimire SK, Shrestha BB, Dhakal S, Shrestha S, et al. Climate change-induced distributional change of medicinal and aromatic plants in the Nepal Himalaya. Ecol Evol. 2022;12(8):e9204. https://doi.org/10.1002/ece3.9204 PMID: 35991283 32. Aiello‐Lammens ME, Boria RA, Radosavljevic A, Vilela B, Anderson RP. spThin: an R package for spatial thinning of species occurrence records for use in ecological niche models. Ecography. 2015;38(5):541–5. https://doi.org/10.1111/ecog.01132 33. Fick SE, Hijmans RJ. WorldClim 2: new 1‐km spatial resolution climate surfaces for global land areas. Intl Journal of Climatology. 2017;37(12):4302–15. https://doi.org/10.1002/joc.5086 34. Fan Z-F, Zhou B-J, Ma C-L, Gao C, Han D-N, Chai Y. Impacts of climate change on species distribution patterns of Polyspora sweet in China. Ecol Evol. 2022;12(12):e9516. https://doi.org/10.1002/ece3.9516 PMID: 36523536