The effects of climate change on the distribution of European glass lizard Pseudopus apodus (PALLAS, 1775) in Eurasia

Abstract

The distribution area of Pseudopus apodus includes the Balkan, Crimean peninsulas, and Ciscaucasia region in Europe, and Asia Minor and the Middle East. This area has experienced a significant habitat loss and fragmentation because of human population growth, increased farming, logging and climate change. To estimate how climate change will affect the presumed future distribution of the studied species, we constructed the possible current distribution of the species and its potential environmental risk for future dispersion. We used an ensemble prediction to forecast the location and distribution of suitable habitats for P. apodus in present and future (i.e. 2070) based on 19 environmental variables. The results were consistent among models and indicated that there are two most important variables that affect distribution pattern of the species: temperature seasonality and precipitation seasonality. All of the models used in this study showed a significant AUC and TSS value. Based upon FDA and ensemble maps it is proposed here that species range will be extended to the east, in particular in higher altitude regions like Afghanistan, but its western range in Jordan will be shrunk. Comparison of the current distribution and future prediction reveals that suitable habitats of Pseudopus apodus will be shifted to higher elevations by 2070 and during this period the species is predicted to migrate from lowlands to higher elevations. Change in latitudinal range is also probable to find new suitable areas under predicted future climate scenarios.

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References

  1. Anderson S (1999) The lizards of Iran. Society for the study of Amphibians and Reptiles Contributions to Herpetology. Ithaca, New York

  2. Araújo MB, Thuiller W, Pearson RG (2006) Climate warming and the decline of amphibians and reptiles in Europe. J Biogeogr 33:1712–1728

    Article  Google Scholar 

  3. Başoğlu M, Baran I (1977) The reptiles of Turkey. Ilker Matbaasi

  4. Bellard C, Bertelsmeier C, Leadley P, Thuiller W, Courchamp F (2012) Impacts of climate change on the future of biodiversity. Ecol Lett 15:365–377

    Article  PubMed  PubMed Central  Google Scholar 

  5. Böhm M et al (2013) The conservation status of the world’s reptiles. Biol Conserv 157:372–385

    Article  Google Scholar 

  6. Breiman L (2001) Random forests. Mach Learn 45:5–32

    Article  Google Scholar 

  7. Buisson L, Thuiller W, Casajus N, Lek S, Grenouillet G (2010) Uncertainty in ensemble forecasting of species distribution. Glob Change Biol 16:1145–1157

    Article  Google Scholar 

  8. Cox NA, Temple HJ (2009) European red list of reptiles. vol 333.957094 E89e. IUCN, Gland (Suiza)

  9. Dawson TP, Jackson ST, House JI, Prentice IC, Mace GM (2011) Beyond predictions: biodiversity conservation in a changing climate. Science 332:53–58

    CAS  Article  PubMed  Google Scholar 

  10. De’ath G, Fabricius KE (2000) Classification and regression trees: a powerful yet simple technique for ecological data analysis. Ecology 81:3178–3192

    Article  Google Scholar 

  11. Deutsch CA, Tewksbury JJ, Huey RB, Sheldon KS, Ghalambor CK, Haak DC, Martin PR (2008) Impacts of climate warming on terrestrial ectotherms across latitude. Proc Natl Acad Sci USA 105:6668–6672

    CAS  Article  PubMed  PubMed Central  Google Scholar 

  12. Fielding AH, Bell JF (1997) A review of methods for the assessment of prediction errors in conservation presence/absence models. Environ Conserv 24:38–49

    Article  Google Scholar 

  13. Fourcade Y, Engler JO, Besnard AG, Rödder D, Secondi J (2013) Confronting expert-based and modelled distributions for species with uncertain conservation status: a case study from the corncrake (Crex crex). Biol Conserv 167:161–171

    Article  Google Scholar 

  14. Friedman JH (1991) Multivariate adaptive regression splines. Ann Stat 1:1–67

    Article  Google Scholar 

  15. Hastie T, Tibshirani R, Buja A (1994) Flexible discriminant analysis by optimal scoring. J Am Stat Assoc 89:1255–1270

    Article  Google Scholar 

  16. Marmion M, Parviainen M, Luoto M, Heikkinen RK, Thuiller W (2009) Evaluation of consensus methods in predictive species distribution modeling. Divers Distributions 15:59–69

    Article  Google Scholar 

  17. McMahon SM et al (2011) Improving assessment and modelling of climate change impacts on global terrestrial biodiversity. Trends Ecol Evol 26:249–259

    Article  PubMed  Google Scholar 

  18. Miller J (2010) Species distribution modeling. Geogr Compass 4:490–509

    Article  Google Scholar 

  19. Monge-Nájera J (2008) Ecological biogeography: a review with emphasis on conservation and the neutral model. Gayana 72:102–112

    Google Scholar 

  20. Muñoz DSME et al (2011) openModeller: a generic approach to species’ potential distribution modeling. GeoInformatica 15:111–135

    Article  Google Scholar 

  21. Nakicenovic N, Alcamo J, Grubler A, Riahi K, Roehrl R, Rogner H-H, Victor N (2000) Special Report on Emissions Scenarios (SRES), A Special Report of Working Group III of the Intergovernmental Panel on Climate Change. Cambridge University Press

  22. Nally RM, Fleishman E (2004) A successful predictive model of species richness based on indicator species. Conserv Biol 18:646–654

    Article  Google Scholar 

  23. Parmesan C (2006) Ecological and evolutionary responses to recent climate change. Annu Rev Ecol Evol Syst 37:637–669

    Article  Google Scholar 

  24. Root TL, Price JT, Hall KR, Schneider SH, Rosenzweig C, Pounds JA (2003) Fingerprints of global warming on wild animals and plants. Nature 421:57–60

    CAS  Article  PubMed  Google Scholar 

  25. Sinervo B et al (2010) Erosion of lizard diversity by climate change and altered thermal niches. Science 328:894–899

    CAS  Article  PubMed  Google Scholar 

  26. Šmíd J, Moravec J, Kodym P, Kratochvíl L, Yousefkhani SSH, Frynta D (2014) Annotated checklist and distribution of the lizards of Iran. Zootaxa 3855:1–97

    Article  PubMed  Google Scholar 

  27. Solomon S (2007) Climate change 2007-the physical science basis: working group I contribution to the fourth assessment report of the IPCC vol 4. Cambridge University Press

  28. Thuiller W, Georges D, Engler R, Breiner F, Georges MD, Thuiller CW (2016) Package ‘biomod2’

  29. Walther G-R, Berger S, Sykes MT (2005) An ecological ‘footprint’ of climate change. Proc R Soc B 272:1427–1432

    Article  PubMed  PubMed Central  Google Scholar 

  30. Wilms T, Bohme W (2007) A review of the taxonomy of the spinytailed lizards of Arabia (Reptilia: Agamidae: Leiolepidinae: Uromastyx). Fauna Arabia 23:435–468

    Google Scholar 

  31. Zhu L, Zhan X, Wu H, Zhang S, Meng T, Bruford M, Wei F (2010) Drastic reduction of the smallest and most isolated giant panda population: implications for conservation. Conserv Biol 24:1299–1306

    Article  PubMed  Google Scholar 

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Acknowledgements

We wish to thank Dr. Ali Reza Keykhosravi for his help and support during this study.

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Correspondence to Nasrullah Rastegar-Pouyani.

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Nasrabadi, R., Rastegar-Pouyani, N., Pouyani, E.R. et al. The effects of climate change on the distribution of European glass lizard Pseudopus apodus (PALLAS, 1775) in Eurasia. Ecol Res 33, 199–204 (2018). https://doi.org/10.1007/s11284-017-1530-8

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Keywords

  • Biomod2
  • Reptiles
  • Pseudopus apodus
  • Distribution
  • Biodiversity