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A Comparison of Computer-Based Methods for Estimating the Age of Animals

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Abstract

The advantages and disadvantages of statistical methods for estimating the age of animals that lack recording structures are discussed in the article. The discussion is supported by examples from studies on the growth of the bivalve mollusk Mizuhopecten yessoensis (Jay, 1857). The age of individuals of this species can easily be determined by morphological marks on the shell surface. This makes it possible to calculate the percentage of erroneous age estimates through various statistical procedures. The following methods have been comprehensively tested: building a histogram, cumulative frequency curve, and dendrogram, as well as K‑means. The algorithms that form the basis of these methods are described in brief. Some practical recommendations on their use are provided.

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REFERENCES

  1. Bazikalova, A.Ya., Age and growth rate of Pecten yessoensis Jay, Izv. Akad. Nauk SSSR, Otd. Mat. Estestv. Nauk, 1934, nos. 2/3, pp. 389–394.

  2. Zolotarev, V.N., Sklerokhronologiya morskikh dvustvorchatykh mollyuskov (Sclerochronology of Marine Bivalve Mollusks), Kiev: Naukova Dumka, 1989.

  3. Zuenko, Yu.I., Using the normal distribution function to solve some tasks from marine biology, Izv. Tikhookean. Nauchno-Issled.Inst. Rybn. Khoz. Okeanogr., 2009, vol. 156, pp. 236–246.

    Google Scholar 

  4. Kafanov, A.I., Borisovetz, E.E., and Volvenko, I.V., The use of cluster analysis in biogeographical classifications, Zh. Obshch. Biol., 2004, vol. 65, no. 3, pp. 250–265.

    CAS  PubMed  Google Scholar 

  5. Klevezal’, G.A., Printsipy i metody opredeleniya vozrasta mlekopitayushchikh (Principles and Methods for Estimating Age of Mammals), Moscow: KMK, 2007.

  6. Klevezal’, G.A. and Smirina, E.M., Recording structures of terrestrial vertebrates: A brief history and current status of research, Zool. Zh., 2016, vol. 95, no. 8, pp. 872–896.

    Google Scholar 

  7. Maksimovich, N.V. and Pogrebov, V.B., Analiz kolichestvennykh gidrobiologicheskikh materialov: uchebnoye posobiye (Analysis of Quantitative Hydrobiological Materials: A Study Guide), Leningrad: Leningr. Gos. Univ., 1986.

  8. Mina, M.V. and Klevezal’, G.A., Rost zhivotnykh (Animal Growth), Moscow: Nauka, 1976.

  9. Selin, N.I., Distribution, population structure, and growth of Yezo scallop in Vostok Bay, Sea of Japan, Sov.J. Mar. Biol., 1989, vol. 15, no. 5, pp. 312–316.

    Google Scholar 

  10. Silina, A.V., Determination of age and growth rate of Yezo scallop by the sculpture of its shell surface, Sov. J. Mar. Biol., 1978, vol. 4, no. 5, pp. 827–835.

    Google Scholar 

  11. Skarlato, O.A., Dvustvorchatye mollyuski umerennykh shirot zapadnoi chasti Tikhogo okeana (Bivalve Mollusks from Temperate Latitudes of the Western Pacific Ocean), Leningrad: Nauka, 1981.

  12. Chugunova, N.I., Rukovodstvo po izucheniyu vozrasta i rosta ryb (Metodicheskoye posobiye po ikhtiologii) (Guide to the Study of Age and Growth of Fish (A Textbook of Methods in Ichthyology)), Moscow: Akad. Nauk SSSR, 1959.

  13. Bonner, J.T., Size and Cycle: An Essay on the Structure of Biology, Princeton, N.J.: Princeton Univ. Press, 1965.

    Book  Google Scholar 

  14. Cassie, R.M., Some uses of probability paper in the analysis of size frequency distributions, Aust. J. Mar. Freshwater Res., 1954, vol. 5, pp. 513–522.

    Article  Google Scholar 

  15. Harding, J.P., The use of probability paper for the graphical analysis of polymodal frequency distributions, J. Mar. Biol. Assoc. U. K., 1949, vol. 28, pp. 141–153.

    Article  Google Scholar 

  16. Hartigan, J.A., Clustering Algorithms, New York: Wiley, 1975.

    Google Scholar 

  17. Kaufman, L. and Rousseeuw, P.J., Finding Groups in Data: An Introduction to Cluster Analysis, New York: Wiley, 2005.

    Google Scholar 

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ACKNOWLEDGMENTS

We are grateful to the anonymous reviewers for their useful critical comments.

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Correspondence to V. V. Sukhanov.

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Conflict of interests. The authors declare that they have no conflict of interest.

Statement on 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 E. Shvetsov

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Sukhanov, V.V., Selin, N.I. A Comparison of Computer-Based Methods for Estimating the Age of Animals. Russ J Mar Biol 46, 379–386 (2020). https://doi.org/10.1134/S1063074020050090

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