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Maksimum Entropi Modelleme Kullanarak Avrupa Yer Sincabı'nın İki Soyhattı Arasındaki İklim Tercihinin Tahmini

Year 2020, Volume: 6 Issue: 2, 328 - 341, 29.12.2020

Abstract

Spermophilus citellus (Linnaeus, 1766), commonly referred to as the European ground squirrel, exists in specific areas of Central Europe and the Balkans. The species is currently listed as ‘‘vulnerable’’ on the IUCN Red List of Threatened Species. Recently genetic studies have shown that the species has two main lineages; the northern and the southern. The northern lineage shows distribution range at the central and western part of the Balkans and Central Europe, whereas the southern lineage is spread in a more limited area, which includes the southern and eastern parts of the Balkans. The purpose of this study is to reveal the potential geographic distribution in Last Glacial Maximum (approximately 22 kya), present and future (average 2070) periods of these lineages using Maximum Entropy modeling (MaxEnt). This study also contributes to comparing the distribution of two lineages between past, present and future periods. The final MaxEnt with ten replicate runs was constructed based on 80 occurrence records from Austria, Bulgaria, Czech Republic, Greece, Hungary, Slovakia, Serbia, Macedonia, Mol-dova, Romania, Turkey and Ukraine, and twelve abiotic bioclimatic variables obtained from WorldClim. Thus, it was attempted to estimate the importance of bioclimatic factors influencing the potential geographical distribution for each lineage as well as assessing the area under curve values. This study showed that the two lineages of the European ground squirrel had different geographic distribution patterns for past, present and future periods. More-over, the study will make important contributions to conservation studies such as management strategies, species action plans and translocation.

References

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Estimation of the Climate Preference Between Two Lineages of European Ground Squirrel Using Maximum Entropy Modeling

Year 2020, Volume: 6 Issue: 2, 328 - 341, 29.12.2020

Abstract

Spermophilus citellus (Linnaeus, 1766), commonly referred to as the European ground squirrel, exists in specific areas of Central Europe and the Balkans. The species is currently listed as ‘‘vulnerable’’ on the IUCN Red List of Threatened Species. Recently genetic studies have shown that the species has two main lineages; the northern and the southern. The northern lineage shows distribution range at the central and western part of the Balkans and Central Europe, whereas the southern lineage is spread in a more limited area, which includes the southern and eastern parts of the Balkans. The purpose of this study is to reveal the potential geographic distribution in Last Glacial Maximum (approximately 22 kya), present and future (average 2070) periods of these lineages using Maximum Entropy modeling (MaxEnt). This study also contributes to comparing the distribution of two lineages between past, present and future periods. The final MaxEnt with ten replicate runs was constructed based on 80 occurrence records from Austria, Bulgaria, Czech Republic, Greece, Hungary, Slovakia, Serbia, Macedonia, Mol-dova, Romania, Turkey and Ukraine, and twelve abiotic bioclimatic variables obtained from WorldClim. Thus, it was attempted to estimate the importance of bioclimatic factors influencing the potential geographical distribution for each lineage as well as assessing the area under curve values. This study showed that the two lineages of the European ground squirrel had different geographic distribution patterns for past, present and future periods. More-over, the study will make important contributions to conservation studies such as management strategies, species action plans and translocation.

References

  • Balaz, I., Jancova, A., & Ambros, M. (2008). Restitution of the European ground squirrel (Spermophilus citellus) in Slovakia. Lynx (Praha), NS 39: 235–240.
  • Baltag, E.Ş., Zaharia, G., Fasolă, L., & Constantin, I. (2014). European Ground Squirrel (Mammalia: Rodentia) population from Eastern Romania: density, distribution and threats. European Scientific Journal, 94–101.
  • Barkaszi, Z., & Zagorodniuk, I. (2018). Living on the edge: distribution patterns of steppe mammals in Transcarpathia (Ukraine). Studia Biologica, 12(3-4): 75–94. DOI: https://doi.org/10.30970/sbi.1203.573
  • Benda, P., & Ivanova, T. (2003). Long-eared bats, Genus Plecotus (Mammalia:Chiroptera), in Bulgaria: a revision of systematic and distributional status. Bulletin of the Natural History Museum. 172 (1-4): 157–172.
  • Birks, H.J.B., & Willis K.J. (2008). Alpines, trees, and refugia in Europe. Plant Ecology & Diversity, 1(2): 147–160.
  • Brown, J.L. (2014). SDMtoolbox: a python-based GIS toolkit for landscape genetic, biogeographic, and species distribution model analyses. Methods in Ecology and Evolution, 5(7): 694–700.
  • Brown, J.L., Bennett, J.R., & French, C.M. (2017). SDMtoolbox 2.0: the next generation Python-based GIS toolkit for landscape genetic, biogeographic, and species distribution model analyses. PeerJ, 5:e4095.
  • Coroiu, C., Kryštufek, B., Vohralík, V., & Zagorodnyuk, I. (2008). Spermophilus citellus. The IUCN Red List of Threatened Species 2008: e.T20472A92 4055. DOI: http://dx.doi.org/10.2305/IUCN.UK.2008.RLTS.T20472A9204055.en. Downloaded on 17 October 2019.
  • Diakou, A. Kapantaidakis, E., & Youlatos, D. (2015). Endoparasites of the European ground squirrel (Spermophilus citellus) (Rodentia: Sciuridae) in central Macedonia, Greece. Journal of Natural History, 49(5-8): 359–370. DOI: https://doi.org/10.1080/00222933.2013.825025
  • Dormann, C.F., Elith, J., Bacher, S., Buchman, C., Carl, G., Carré, G., García Marquéz, J.R., Gruber, B., Lafourcade, B., Leitão, P.J., Münkemüller, T., McClean, C., Osborne, P.E., Reineking, B., Schröder, B., Skidmore, A.K., Zurell, D., & Lautenbach S. (2013). Collinearity: A review of methods to deal with it and a simulation study evaluating their performance. Ecography, 36: 27–46.
  • Elith, J., Graham, C.H., Anderson, R.P., Dudik, M., Ferrier, S., Guisan, A., Hijmans, R.J., Huettmann, F., Leathwick, J.R., Lehmann, A., Li, J., Lohmann, L.G., Loiselle, B. A., Manion, G., Moritz, C., Nakamura, M., Nakazawa, Y., Overton, J.M., Peterson, A. T., Phillips, S.J., Richardson, K., Scachetti-Pereira, R., Schapire, R.E., Soberon, J., Williams, S., Wisz, M.S., & Zimmermann, N.E. (2006). Novel methods improve prediction of species’ distributions from occurrence data. Ecography, 29: 129–151.
  • Elith, J., Phillips, S.J., Hastie, T., Dudík, M., Chee, Y.E., & Yates, C.J. (2011). A statistical explanation of MaxEnt for ecologists. Diversity and distributions, 17(1): 43–57.
  • Engler, R., Guisan, A., & Rechsteiner, L. (2004). An improved approach for predicting the distribution of rare and endangered species from occurrence and pseudo-absence data. Journal of Applied Ecology, 41: 263–274.
  • Feng, X., Park, D.S., Liang, Y., Pandey, R., & Papeş, M. (2019). Collinearity in ecological niche modeling: Confusions and challenges. Ecology and Evolution, 9(18): 10365–10376. doi:10.1002/ece3.5555.
  • Fick, S.E., & Hijmans, R.J. (2017). Worldclim 2: New 1-km spatial resolution climate surfaces for global land areas. International Journal of Climatology, 37(12): 4302–4315.
  • Fourcade, Y., Engler, J.O., Rödder, D., & Secondi, J. (2014). Mapping species distributions with MAXENT using a geographically biased sample of presence data: a performance assessment of methods for correcting sampling bias. PloS One, 9(5): e97122. DOI: https://doi.org/10.1371/journal.pone.00971221
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There are 74 citations in total.

Details

Primary Language English
Journal Section Araştırma Makalesi
Authors

Sadık Demirtaş 0000-0003-0859-7887

Early Pub Date June 10, 2022
Publication Date December 29, 2020
Acceptance Date October 9, 2020
Published in Issue Year 2020 Volume: 6 Issue: 2

Cite

APA Demirtaş, S. (2020). Estimation of the Climate Preference Between Two Lineages of European Ground Squirrel Using Maximum Entropy Modeling. Çanakkale Onsekiz Mart Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 6(2), 328-341.
AMA Demirtaş S. Estimation of the Climate Preference Between Two Lineages of European Ground Squirrel Using Maximum Entropy Modeling. Çanakkale Onsekiz Mart Üniversitesi Fen Bilimleri Enstitüsü Dergisi. December 2020;6(2):328-341.
Chicago Demirtaş, Sadık. “Estimation of the Climate Preference Between Two Lineages of European Ground Squirrel Using Maximum Entropy Modeling”. Çanakkale Onsekiz Mart Üniversitesi Fen Bilimleri Enstitüsü Dergisi 6, no. 2 (December 2020): 328-41.
EndNote Demirtaş S (December 1, 2020) Estimation of the Climate Preference Between Two Lineages of European Ground Squirrel Using Maximum Entropy Modeling. Çanakkale Onsekiz Mart Üniversitesi Fen Bilimleri Enstitüsü Dergisi 6 2 328–341.
IEEE S. Demirtaş, “Estimation of the Climate Preference Between Two Lineages of European Ground Squirrel Using Maximum Entropy Modeling”, Çanakkale Onsekiz Mart Üniversitesi Fen Bilimleri Enstitüsü Dergisi, vol. 6, no. 2, pp. 328–341, 2020.
ISNAD Demirtaş, Sadık. “Estimation of the Climate Preference Between Two Lineages of European Ground Squirrel Using Maximum Entropy Modeling”. Çanakkale Onsekiz Mart Üniversitesi Fen Bilimleri Enstitüsü Dergisi 6/2 (December 2020), 328-341.
JAMA Demirtaş S. Estimation of the Climate Preference Between Two Lineages of European Ground Squirrel Using Maximum Entropy Modeling. Çanakkale Onsekiz Mart Üniversitesi Fen Bilimleri Enstitüsü Dergisi. 2020;6:328–341.
MLA Demirtaş, Sadık. “Estimation of the Climate Preference Between Two Lineages of European Ground Squirrel Using Maximum Entropy Modeling”. Çanakkale Onsekiz Mart Üniversitesi Fen Bilimleri Enstitüsü Dergisi, vol. 6, no. 2, 2020, pp. 328-41.
Vancouver Demirtaş S. Estimation of the Climate Preference Between Two Lineages of European Ground Squirrel Using Maximum Entropy Modeling. Çanakkale Onsekiz Mart Üniversitesi Fen Bilimleri Enstitüsü Dergisi. 2020;6(2):328-41.

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