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Specificity of Studying Spatial and Typological Variations in Bird Assemblages across Certain Species Groups and Their Distribution (Using the Example of Corvidae)

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Contemporary Problems of Ecology Aims and scope

Abstract

The average numbers of birds recorded over the first half of summer (May 16–July 15) from 1880 to 2019 (with intervals predominantly since 1960) have been analyzed to identify the spatial typological structures and organization of bird assemblages in northern Eurasia. Overall, 352 researchers have been involved in collecting this material for 110 years. Data processing is carried out with multivariate statistics methods, including cluster analyses, qualitative linear approximation to the connectivity matrices, and the gradient and expert approaches. Therefore, the main spatial trends in corvid communities and the natural and anthropogenic regimes correlating with them have been identified. The relationship between the spatial variability of the assemblages of these birds and the heterogeneity of habitats has been assessed. The quasi-fractal patterns of spatial differentiation of communities are shown. The analysis of corvid groups based on factor classification give unsatisfactory results on approximation for spatial and typological variability in their assemblage abundance at the confined-landscape scale level, while it shows rather high informativity of classification of species abundance across all 8144 habitats. A satisfactory explanation of heterogeneity in communities of Corvidae was achieved only after averaging the values for abundances of bird species associated with landcover types. It is impossible to get an idea about them based on cluster analysis, while the gradient and expert (speculative) approaches followed by estimating the informativity of concepts may be considered acceptable for such generalizations. The techniques indicated above contribute to a higher informativity score incorporating representiveness by the average abundance values, which had sevenfold and threefold increases in terms of the explained dispersion and the multiple coefficients of correlation, respectively. In addition, structural classifications of species and, especially, territorial communities acquire a two-dimensional reticular (grid-based) structure. The formalized classification of corvid species is seven times and two times more informative about distribution similarity and assemblages, respectively, than the expert and speculative ideas.

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REFERENCES

  1. Atlas SSSR (Atlas of the USSR), Moscow: Glav. Uprav. Geod. Kartogr., Sov. Min., 1983.

  2. Dubatolov, V.V. and Kosterin, O.E., Nemoral species of Lepidoptera (Insecta) in Siberia: a novel view on their history and the timing of their disjunctions, Entomol. Fenn., 2000, vol. 11, no. 3, pp. 141–166.

    Article  Google Scholar 

  3. Hayne Don, W., An examination of the strip census method for estimating animal populations, J. Wildlife Manage., 1949, vol. 13, no. 2, pp. 145–147.

    Article  Google Scholar 

  4. Isaeva, V.V., Sinergetika dlya biologov. Vvodnyi kurs. Uchebnoe posobie. (Synergetics for Biologists. Introductory Course. Tutorial.), Vladivostok: Dal’nevost. Univ., 2003.

  5. Ivanov, A.I., Katalog ptits SSSR (Catalog of birds of the USSR), Leningrad: Nauka, 1976. p.

  6. Khaitun, S.D., Mekhanika i neobratimost’ (Mechanics and Irreversibility), Moscow: Janus, 1996.

  7. Klimova, N.V. and Toropov, K.V., Ptitsy goroda Kemerovo i ego okrestnostei (Birds of the Kemerovo City and its Environs), Novosibirsk: Geo, 2018.

  8. Kupershtoh, V.L. and Trofimov, V.A., Automatic detection of the system macrostructure, in Problemy analiza diskretnoy informacii (Problems of Discrete Information Analysis), Novosibirsk, 1975, Part 1, pp. 67–83.

  9. Livanov, S.G., Ptitsy Urala (Ural Birds), Novosibirsk: Sib. Otd. Ross. Akad. nauk, 2021.

  10. Phillips, S.J., Anderson, R.P., and Schapire, R.E., Maximum entropy modeling of species geographic distributions, Ecol. Modell., 2006, vol. 190, nos. 3–4, pp. 231–259.

    Article  Google Scholar 

  11. Ravkin, Yu.S., On the method of counting birds in forest landscapes, in Priroda ochagov kleshchevogo entsefalita na Altae (Nature of Foci of Tick-Borne Encephalitis in Altai), Novosibirsk: Nauka, 1967, pp. 66–75.

  12. Ravkin, E.S. and Chelintsev, N.G., Guidelines for the route accounting of the population of birds in reserves, in Sbornik dokladov seminara-soveshchaniyaOrganizatsiya nauchnykh issledovanii v zapovednikakh i natsional’nykh parkakh” (Collect. Rep. Seminar-Meeting “Organization of Scientific Research in Reserves and National Parks”), Moscow: WWF, 1999, pp. 143–155.

    Google Scholar 

  13. Ravkin, Yu.S. and Livanov, S.G., Faktornaya zoogeografiya (Factor Zoogeography), Novosibirsk: Nauka, 2008.

  14. Ravkin, Yu.S. and Efimov, V.M., Databank on the number and distribution of animals within the former USSR, in Materialy Mezhdunarodnoi nauchno-prakticheskoi konferentsiiFormirovanie baz dannykh po bioraznoobraziyu - opyt, problemy, resheniya” (Proc. Int. Sci.-Pract. Conf. “Formation of Databases on Biodiversity – Experience, Problems, Solutions”) Barnaul: Artika, 2009, pp. 205–214.

  15. Ravkin, E.S. and Ravkin, Yu.S., Ptitsy ravnin Severnoi Evrazii (Birds of the Plains of Northern Eurasia), Novosibirsk: Nauka, 2005.

  16. Ravkin, Yu.S., Kupershtokh, V.L., and Trofimov, V.A., Spatial organization of bird community, in Ptitsy lesnoi zony Priob’ya (The Birds of Forest Zone of Ob’ Region), Novosibirsk: Nauka, 1978, pp. 253–269.

  17. Ravkin, Yu.S., Bogomolova, I.N., Tsybulin, S.M., Zheleznova, T.K., Toropov, K.V., Vartapetov, L.G., Milovidov, S.P., Yudkin, V.A., Zhukov, V.S., Gureev, S.P., Pokrovskaya, I.V., Kasibekov, E.Sh., Ananin, A.A., and Bochkareva, E.N., Spatial-typological heterogeneity and environmental organization of the summer population of birds in the Middle Region of Northern Eurasia, Contemp. Probl. Ecol., 2016, vol. 9, no. 1, pp. 86–97.

    Article  Google Scholar 

  18. Ravkin, Yu.S., Babenko, V.G., Stishov, M.S., Pronkevich, V.V., and Lyalina, M.I., Ecogeographical variability of the summer bird population in the Pacific part of Russia, Contemp. Probl. Ecol., 2020, vol. 13, no. 6, pp. 577–589.

    Article  Google Scholar 

  19. Ravkin, Yu.S., Tsybulin, S.M., Ananin, A.A., Ivliev, V.G., Zheleznova, T.K., Vartapetov, L.G., Yudkin, V.A., Zhukov, V.S., Preobrazhenskaya, E.S., Stishov, M.S., Toropov, K.V., Ravkin, E.S., Bogomolova, I.N., Chesnokova, S.V., and Lyalina, M.I., Ecological and geographical organization and structure of the summer bird assemblages of Northern Eurasia, Zh. Obshch. Biol., 2022, vol. 83, no. 4, pp. 302–320.

    Google Scholar 

  20. Rebelo, H. and Jones, G., Ground validation of presence-only modeling with rare species: a case study on barbastelles Barbastellabar bastellus (Chiroptera: Vespertilionidae), J. Appl. Ecol., 2010, vol. 47, no. 2, pp. 410–420.

    Article  Google Scholar 

  21. Solovyev, V.I., Bogdanova, V.S., Dubatolov, V.V., and Kosterin, O.E., Range of a Palearctic uraniid moth Eversmannia exornata (Lepidoptera: Uraniidae: Epipleminae) was split in the Holocene, as evaluated using histone H1 and COI genes with reference to the Beringian disjunction in the genus Oreta (Lepidoptera: Drepanidae), Org. Diversity Evol., 2015, vol. 15, pp. 285–300. https://doi.org/10.1007/s13127-014-0195-1

    Article  Google Scholar 

  22. Toropov, K.V. and Bochkareva, E.N., Ptitsy podtaezhnykh lesov Zapadnoi Sibiri: 30-40 let spustya (Birds of the Subtaiga Forests of Western Siberia: 30-40 Years Later), Novosibirsk: Nauka-Center, 2014.

  23. Trofimov, V.A., Qualitative factor analysis of communication matrices in the space of partitions with structure, in Modeli agregirovaniya sotsial’no-ekonomicheskoi informatsii (Models of Aggregation of Socio-Economic Information), Novosibirsk, 1976, pp. 24–36.

  24. Tsybulin, S.M., Ptitsy Altaya (Birds of Altai), Novosibirsk: Nauka, 2009.

  25. Warren, D.L. and Seifert, S.N., Ecological niche modeling in Maxent: the importance of model complexity and the performance of model selection criteria, Ecol. Appl., 2011, vol. 21, no. 2, pp. 335–342.

    Article  PubMed  Google Scholar 

  26. Yackulic, C.B., Chandler, R., Zipkin, E.F., Royle, J.A., Nichols, J.D., Campbell Grant, E.H., and Veran, S., Presence-only modeling using MAXENT when can we trust the inferences?, Methods Ecol. Evol., 2013, vol. 4, no. 3, pp. 236–243.

    Article  Google Scholar 

  27. Zheleznova, T.K., Ptitsy v neftegazonosnykh raionakh Privasyugan’ya (Birds in the Oil and Gas Regions of the Vasyugan Region), Moscow: U Nikitskikh vorot, 2017.

  28. Zheleznova, T.K. and Kostyleva, N.A., Ptitsy bolot lesnoi zony Zapadnoi Sibiri (Birds of Swamps of the Forest Zone of Western Siberia), Moscow: U Nikitskyh Vorot, 2018.

  29. Zheleznova, T.K. and Leppa, V.A., Ptitsy Tomskogo Priket’ya (Birds of Tomsk Priketye), Moscow: Prospek, 2016.

  30. Zheleznova, T.K. and Vartapetov, L.G., Ptitsy srednetaezhnogo Pritym’ya (Zapadnaya Sibir’) (Birds of the Middle Taiga of the Tym Region (Western Siberia)), Moscow: U Nikitskyh Vorot, 2018.

  31. Zhukov, V.S., Ptitsy lesostepi Srednei Sibiri (Birds of the Forest-Steppe of Central Siberia), Novosibirsk: Nauka, 2006.

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ACKNOWLEDGMENTS

We are truly grateful to V.V. Dubatolov and B.N. Fomin for a critical review of the article and valuable comments to improve the publication. We also express our gratitude to both A.M. Dolgikh for making an expert assessment of the corvid species most prevalent at landfills in the surrounding area of the Amur River and V.V. Pronkevich for information on the large-billed crow numbers at the same sites. This article was written based on surveys supported by the FNI Fundamental Research Program for the State Academy of Sciences for 2021–2025, project no. FWGS–2021-002.

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Correspondence to Yu. S. Ravkin or O. A. Odintsev.

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Statement of the welfare of animals. All applicable international, national, and/or institutional guidelines for the care and use of animals were followed.

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Translated by O. Zhiryakova

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Ravkin, Y.S., Odintsev, O.A. & Bogomolova, I.N. Specificity of Studying Spatial and Typological Variations in Bird Assemblages across Certain Species Groups and Their Distribution (Using the Example of Corvidae). Contemp. Probl. Ecol. 16, 19–29 (2023). https://doi.org/10.1134/S1995425523010079

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