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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao https://doi.org/10.1...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
https://doi.org/10.1007/978-3-...
Part of book or chapter of book . 2016 . Peer-reviewed
License: Springer TDM
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Simple Deterministic IPM

Authors: Stephen P. Ellner; Dylan Z. Childs; Mark Rees;

Simple Deterministic IPM

Abstract

Easterling et al. (2000) originally proposed a size-structured IPM as an alternative to matrix projection models for populations in which demographic rates are primarily influenced by a continuously varying measure of individual size. That model was deterministic and density-independent, analogous to a matrix projection model with a constant matrix. Nothing could be simpler within the realm of IPMs. In this chapter we use that case to introduce the basic concepts underlying IPMs, and to step through the complete process of building and then using an IPM based on your population census data. To illustrate the process of fitting an IPM to population data, we generate artificial data using individual-based models of the monocarpic perennial Oenothera glazioviana, and of the Soay sheep (Ovis aries) population on St. Kilda (Clutton-Brock and Pemberton 2004).

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selected citations
These citations are derived from selected sources.
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).
BIP!Citations provided by BIP!
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!
0
Average
Average
Average
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