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The American Naturalist
Article
License: CC BY
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Article . 2015
License: CC BY
Data sources: ZENODO
The American Naturalist
Article . 2015 . Peer-reviewed
Data sources: Crossref
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A New Approach to the Generation Time in Matrix Population Models

Authors: François Bienvenu; Stéphane Legendre;

A New Approach to the Generation Time in Matrix Population Models

Abstract

The generation time is commonly defined as the mean age of mothers at birth. In matrix population models, a general formula is available to compute this quantity. However, it is complex and hard to interpret. Here, we present a new approach where the generation time is envisioned as a return time in an appropriate Markov chain. This yields surprisingly simple results, such as the fact that the generation time is the inverse of the sum of the elasticities of the growth rate to changes in the fertilities. This result sheds new light on the interpretation of elasticities (which as we show correspond to the frequency of events in the ancestral lineage of the population), and we use it to generalize a result known as Lebreton's formula. Finally, we also show that the generation time can be seen as a random variable, and we give a general expression for its distribution.

Keywords

Life Cycle Stages, Models, Statistical, Time Factors, Reproduction, Population Dynamics, generation time, matrix population models, Models, Biological, Markov Chains, markov chain, elasticity, return time

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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