Abstract
Based on chamber volumes, different methods for evaluating growth of individual foraminifera are shown using the generalized logistic growth function or the Gompertz function. Residuals to the theoretical functions were calculated to differentiate between instantaneous or oscillatory deviations. The chamber-building rate must be calculated allowing inferences of time-dependent influences by environmental factors.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsNotes
- 1.
Finally, some textbooks are mentioned that cover the field of mathematics and statistics in a broad and easily understandable sense. Afterwards, computer programs are cited that have been used in this article.
References and Programs
Finally, some textbooks are mentioned that cover the field of mathematics and statistics in a broad and easily understandable sense. Afterwards, computer programs are cited that have been used in this article.
General Textbooks
Batschelet E (1971) Introduction to mathematics for life scientists. Springer, Berlin
Davis JC (2002) Statistics and data analysis in geology, 3rd edn. Wiley, New York
Hammer Ø, Harper DAT (2006) Paleontological data analysis. Blackwell, Malden
Zar JH (2010) Biostatistical analysis, 5th edn. Pearson, Upper Saddle River
Programs
Microsoft Office Excel (2010)
Hammer Ø, Harper DAT, Ryan PD (2001) PAST: paleontological statistics software package for education and data analysis. Palaeontolo Electronica 4(1):9 http://palaeo-electronica.org/2001_1/past/issue1_01.htm
PASW Statistics 19 (2010) Version 19.0.0, IBM
R version 2.15.2 (2012). The R Foundation for Statistical Computing
References
David HA (1970) Order statistics. Wiley, New York
Hohenegger J (1996) Remarks on the distribution of larger Foraminifera (Protozoa) from Belau (Western Carolines). Kagoshima Univ Res Center South Pacific, Occ papers, vol. 30:85–90
Krüger R (1994) Untersuchungen zum Entwicklungsgang rezenter Nummulitiden: Heterostegina depressa, Nummulites venosus und Cycloclypeus carpenteri. Dissertation, Christian Albrechts Universität Kiel
Labaj P, Topa P, Tyszka J, Alda W (2003) 2D and 3D numerical models of the growth of foraminiferal shells. In: Sloot PMA (ed) ICCS 2003, LNCS 2657. Springer, Berlin, pp 669–678
Lietz R (1996) Untersuchungen zur Individualentwicklung der Großforaminifere Cycloclypeus carpenteri Carpenter (1856). Dissertation, Christian Albrechts Universität Kiel
Olsson RK (1973) What is a kummerform planktonic foraminifer? J Paleontol 47:327–329
Richards FJ (1959) A flexible growth function for empirical use. J Exp Bot 10:290–300
Röttger R (1972) Analyse von Wachstumskurven von Heterostegina depressa (Foraminifera: Nummulitidae). Mar Biol 17:228–242
Röttger R, Spindler M (1976) Development of Heterostegina depressa individuals (Foraminifera, Nummulitidae) in laboratory cultures. Marit Sediments Spec Publ. 1: 81–87
Schulz M, Mudelsee M (2002) REDFIT: estimating red-noise spectra directly from unevenly spaced paleoclimatic time series. Compt Rendus Geosci 28:421–426
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer Japan
About this chapter
Cite this chapter
Hohenegger, J., Briguglio, A. (2014). Methods for Estimating Individual Growth of Foraminifera Based on Chamber Volumes. In: Kitazato, H., M. Bernhard, J. (eds) Approaches to Study Living Foraminifera. Environmental Science and Engineering(). Springer, Tokyo. https://doi.org/10.1007/978-4-431-54388-6_3
Download citation
DOI: https://doi.org/10.1007/978-4-431-54388-6_3
Published:
Publisher Name: Springer, Tokyo
Print ISBN: 978-4-431-54387-9
Online ISBN: 978-4-431-54388-6
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)