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Lognormal distribution of individual lifetime fecundity: insights from a 23-year study

Lognormal distribution of individual lifetime fecundity: insights from a 23-year study Individual variance in lifetime fecundity within populations is a life-history parameter of crucial evolutionary and ecological significance. However, knowledge of its magnitude and underlying mechanisms in natural populations is biased toward short-lived taxa. This paper summarizes results of a 23-year study on a population of the Mediterranean shrub Lavandula latifolia . We document the within-population pattern of individual variation in instantaneous and lifetime fecundity (as estimated by inflorescence production) and explore the mechanisms producing the lognormal distribution of individual fecundities by means of an individual-based simulation model. Throughout the study period, a few individuals consistently produced most inflorescences while the majority of plants exhibited moderate-to-low fecundities. The shape of yearly distributions of annual fecundities varied little across years, and most annual fecundity distributions did not depart significantly from a lognormal. The distribution of individual lifetime fecundity did not depart from lognormality. Despite the simplicity of the premises of our simulation model, it was remarkably successful at predicting the shapes of fecundity distributions and the early establishment of a persistent fecundity hierarchy. The agreement between model results and empirical data supports the view that multiplicative interactions of randomly varying environmental effects can play a central role in determining individual variation in lifetime fecundity in L. latifolia , and suggests that environmental stochasticity can be decisive in the genesis of strong fecundity hierarchies in long-lived plants. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Ecology Ecological Society of America

Lognormal distribution of individual lifetime fecundity: insights from a 23-year study

Ecology , Volume 91 (2) – Feb 1, 2010

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References (43)

Publisher
Ecological Society of America
Copyright
Copyright © 2010 by the Ecological Society of America
Subject
Articles
ISSN
0012-9658
DOI
10.1890/09-0849.1
Publisher site
See Article on Publisher Site

Abstract

Individual variance in lifetime fecundity within populations is a life-history parameter of crucial evolutionary and ecological significance. However, knowledge of its magnitude and underlying mechanisms in natural populations is biased toward short-lived taxa. This paper summarizes results of a 23-year study on a population of the Mediterranean shrub Lavandula latifolia . We document the within-population pattern of individual variation in instantaneous and lifetime fecundity (as estimated by inflorescence production) and explore the mechanisms producing the lognormal distribution of individual fecundities by means of an individual-based simulation model. Throughout the study period, a few individuals consistently produced most inflorescences while the majority of plants exhibited moderate-to-low fecundities. The shape of yearly distributions of annual fecundities varied little across years, and most annual fecundity distributions did not depart significantly from a lognormal. The distribution of individual lifetime fecundity did not depart from lognormality. Despite the simplicity of the premises of our simulation model, it was remarkably successful at predicting the shapes of fecundity distributions and the early establishment of a persistent fecundity hierarchy. The agreement between model results and empirical data supports the view that multiplicative interactions of randomly varying environmental effects can play a central role in determining individual variation in lifetime fecundity in L. latifolia , and suggests that environmental stochasticity can be decisive in the genesis of strong fecundity hierarchies in long-lived plants.

Journal

EcologyEcological Society of America

Published: Feb 1, 2010

Keywords: demography ; fecundity hierarchy ; Lavandula latifolia; ; lognormal distribution ; multiplicative random effects ; plant senescence ; simulation model

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