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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 Strathprintsarrow_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
Strathprints
Article . 1994
Data sources: Strathprints
Functional Ecology
Article . 1994 . Peer-reviewed
Data sources: Crossref
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Modelling Compensatory Growth

Authors: Broekhuisen, N.; Gurney, William; Jones, A.; Bryant, A.D.;

Modelling Compensatory Growth

Abstract

1. We formulate a simple, physiologically based model to investigate the phenomenon of compensatory growth. 2. The model is based upon two key assumptions. First, that an individual partitions net assimilate between two tissue types: those which can and those which cannot be remobilized once laid down. Second, that the individual modulates its behaviour and physiology in response to the instantaneous ratio of mobilizable to non-mobilizable tissues. 3. The model is parameterized for salmonids from published studies of their energetics. Data from aquaculture studies of fish growth under conditions of fluctuating food are used to test the model. Using a common parameter set, the model successfully reproduces the growth patterns observed in 16 different feeding regimes.

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Keywords

570, Probabilities. Mathematical statistics

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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!
101
Top 10%
Top 10%
Top 10%
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