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Species-Distribution Modeling: Advantages and Limitations of Its Application. 1. General Approaches

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Abstract

For a long time, studies of the distribution of living beings in a geographical space were performed only with empirical methods. A change in the view of a species distribution as a projection of a Hutchinsonian ecological niche led to the formation of the discipline of ecological modeling of the species distribution, which switched faunistics/floristics from data accumulation to a full-fledged scientific industry with experiment planning and result verification. The various methods of species-distribution modeling make it possible to analyze the patterns of the geographical distributional of organisms in the presence of methodological challenges: nonrandomness of the occurrence data, inhomogeneity of the collection efforts, landscape heterogeneity in different scales, etc. The results of species-distribution modeling represent spatially continuous data of habitat suitability and are valuable not only for studies of the habitats themselves but also for a number of disciplines that involve species distributions.

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ACKNOWLEDGMENTS

The authors are grateful to Yu.G. Puzachenko, who inspired us at different stages of work. The comments of two anonymous reviewers significantly improved the text of the manuscript.

Funding

The work was financially supported by the Russian Science Foundation, project no. 18-14-00093.

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Authors and Affiliations

  1. Zoological Museum of Moscow State University, 125009, Moscow, Russia

    A. A. Lissovsky & E. V. Obolenskaya

  2. Department of Geobotany, Biological Faculty, Moscow State University, 119234, Moscow, Russia

    S. V. Dudov

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  1. A. A. Lissovsky
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  2. S. V. Dudov
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  3. E. V. Obolenskaya
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Correspondence to A. A. Lissovsky, S. V. Dudov or E. V. Obolenskaya.

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Translated by T. Kuznetsova

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Lissovsky, A.A., Dudov, S.V. & Obolenskaya, E.V. Species-Distribution Modeling: Advantages and Limitations of Its Application. 1. General Approaches. Biol Bull Rev 11, 254–264 (2021). https://doi.org/10.1134/S2079086421030075

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