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Experience in the Use of GIS Tools in Plant Systematics and Conservation

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Abstract

The ecological niche and the range are, together with the morphotype, a sufficient characteristic of the species. In turn, each species has its own unique ecological niche, ecologo-climatic characteristics to be its important component. The MaxEnt algorithm allows not only to obtain a species distribution model, but also to evaluate it, using the AUC. It is also possible to estimate the impact of each bioclimatic variable on the model. The opportunities provided by the climate modeling programs Bioclim and MaxEnt, as well as the SDMtoolkits and ENMTools applications, were implemented in our study of bluegrasses (Poa L.). Using freely available climatic data and the data of occurrence, the bioclimatic profiles of morphologically similar Poa palustris L., P. nemoralis L. and populations, combining the characters of their both, treated as Aggr. P. intricata Wien., were revealed, using the Bioclim program, implemented in DIVA-GIS. The models for their potential distribution in the current climate, in Pleistocene maximal glaciation, in interglacial and the Middle Holocene were reconstructed with MaxEnt and applications. The comparison methods—niche-identity test (I-test), and background test (B-test), implemented in the ENMTools program, make it possible to compare the obtained ecologo-climatical niches. We compared the ecologo-climatical niches of three similar species, and I-test has revealed their differences at a statistically significant level. The models of potential species distribution, constructed on the basis of ecologo-climatical niches can be used not only for paleogeographical reconstructions, but also are of a great practical value.

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Correspondence to M. Olonova .

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Olonova, M., Feoktistov, D., Vysokikh, T. (2019). Experience in the Use of GIS Tools in Plant Systematics and Conservation. In: Bychkov, I., Voronin, V. (eds) Information Technologies in the Research of Biodiversity. Springer Proceedings in Earth and Environmental Sciences. Springer, Cham. https://doi.org/10.1007/978-3-030-11720-7_21

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