Skip to main content
Log in

Fourier analysis of bivalve outlines: Implications on evolution and autecology

  • Published:
Journal of the International Association for Mathematical Geology Aims and scope Submit manuscript

Abstract

Fourier analysis of shape provides a unique means of studying morphologic variation of bivalves, especially in terms of their evolution and autecology. Amplitude spectra resulting from analysis may be refined, summarized, and further evaluated by a series of statistical measures designed to extract the maximum amount of information from outline features. Root mean square error comparison of harmonics, combined with a modified analysis of variance design and Snedecor's F-test, permits identification of significant amplitudes. Intra- and interspecific variation may be expressed as variance about mean power estimates derived from significant amplitudes for each species. Variance estimates of 14 species of heterodont bivalves indicate that venerid bivalves show considerably more intraspecific shape variability than do tellinid species. In both groups, however, species characterized by more elongate shells show less intraspecific variability. Evolutionary and environmental implications of interspecific shape variance in bivalves suggest that future comprehensive examination of specimens, collected in situ, may be fruitful.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Anstey, R. L., and Delmet, D. A., 1973, Fourier analysis of zooecial shapes in fossil tubular bryozoans: Geol. Soc. America Bull., v. 84, no. 5, p. 1753–1764.

    Google Scholar 

  • Boss, K. J., 1966, The sub-family Tellininae in the western Atlantic: The generaTellina (Part II) andTellidora: Johnsonia, Department of Molluscs, Museum of Comparative Zoology, Harvard University, Cambridge, Massachusetts, v. 4, no. 46, p. 273–344.

    Google Scholar 

  • Chapman, S., and Bartels, J., 1962, Geomagnetism, v. II: Clarendon Press, Oxford, England, p. 543–911.

    Google Scholar 

  • Churchill, R. V., 1941, Fourier series and boundary value problems: McGraw-Hill Book Co., New York, 206 p.

    Google Scholar 

  • Davis, J. C., 1973, Statistics and data analysis in geology: John Wiley & Sons, Inc., New York, 550 p.

    Google Scholar 

  • Ehrlich, R., and Weinberg, B., 1970, An exact method for characterization of grain shape: Jour. Sed. Pet., v. 40, no. 1, p. 205–212.

    Google Scholar 

  • Harbaugh, J. W., and Merriam, D. F., 1968, Computer applications in stratigraphic analysis: John Wiley & Sons, Inc., New York, 282 p.

    Google Scholar 

  • Kaesler, R., and Waters, J. A., 1972, Fourier analysis of the Ostracode margin: Geol. Soc. America Bull., v. 83, no. 4, p. 1169–1178.

    Google Scholar 

  • Kaufman, E. G., 1969, Form, function and evolution,in Treatise on invertebrate paleontology, Part N, Mollusca 6, Bivalvia: Univ. Kansas Press, Lawrence, p. N1–N489.

    Google Scholar 

  • Krumbein, W. C., and Greybill, F. A., 1965, An introduction to statistical models in geology: McGraw-Hill Book Co., Inc., New York, 475 p.

    Google Scholar 

  • Lanczos, C., 1956, Applied analysis: Prentice-Hall, Inc., Englewood Cliffs, 539 p.

    Google Scholar 

  • Lee, Y. W., 1960, Statistical theory of communication: John Wiley & Sons, Inc., New York, 509 p.

    Google Scholar 

  • MacGinitie, G. E., 1935, Ecological aspects of a California marine estuary: Am. Midland Naturalist, v. 16, no. 5, p. 629–765.

    Google Scholar 

  • Ross, D. T., 1957, Sampling and quantizing,in Notes on analog—digital conversion techniques: The Technology Press, Cambridge, Massachusetts, p. 2-1–2-72.

    Google Scholar 

  • Schwarcz, H. P., and Shane, K. C., 1969, Measurement of particle shape by Fourier analysis: Sedimentology, v. 13, no. 3/4, p. 213–231.

    Google Scholar 

  • Simpson, G. G., 1949, The meaning of evolution: Yale Univ. Press, New Haven, 364 p.

    Google Scholar 

  • Stanley, S. M., 1970, Relation of shell form to life habits of the Bivalvia (Mollusca): Geol. Soc. America Mem. 125, 296 p.

  • Thomas, G. B., Jr., 1971, Calculus and analytical geometry (alternate ed.): Addison-Wesley Publ. Co., Inc., Reading, Massachusetts, 1034 p.

    Google Scholar 

  • Waller, T. R., 1969, The evolution of theArgopecten gibbus stock (Mollusca: Bivalvia), with emphasis on the Tertiary and Quaternary species of eastern North America: The Paleontological Society Mem. 3, 125 p.

  • Warme, J. E., 1971, Paleoecological aspects of a modern coastal lagoon: Univ. California, Publ. Geological Sciences, v. 87, 131 p.

  • Wylie, C. R., Jr., 1966, Advanced engineering mathematics: McGraw-Hill Book Co., Inc., New York, 799 p.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

About this article

Cite this article

Gevirtz, J.L. Fourier analysis of bivalve outlines: Implications on evolution and autecology. Mathematical Geology 8, 151–163 (1976). https://doi.org/10.1007/BF01079032

Download citation

  • Received:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF01079032

Key words

Navigation