Document Detail

Evaluation of offspring size-number invariants in 12 species of lizard.
MedLine Citation:
PMID:  19120815     Owner:  NLM     Status:  MEDLINE    
The optimal division of resources into offspring size vs. number is one of the classic problems in life-history evolution. Importantly, models that take into account the discrete nature of resource division at low clutch sizes suggest that the variance in offspring size should decline with increasing clutch size according to an invariant relationship. We tested this prediction in 12 species of lizard with small clutch sizes. Contrary to expectations, not all species showed a negative relationship between variance in offspring size and clutch size, and the pattern significantly deviated from quantitative predictions in five of the 12 species. We suggest that the main limitation of current size-number models for small clutch sizes is that they rely on assumptions of hierarchical allocation strategies with independence between allocation decisions. Indeed, selection may favour alternative mechanisms of reproductive allocation that avoid suboptimal allocation imposed by the indivisible fraction at low clutch sizes.
T Uller; G M While; E Wapstra; D A Warner; B A Goodman; L Schwarzkopf; T Langkilde; P Doughty; R S Radder; D H Rohr; C M Bull; R Shine; M Olsson
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't    
Journal Detail:
Title:  Journal of evolutionary biology     Volume:  22     ISSN:  1420-9101     ISO Abbreviation:  J. Evol. Biol.     Publication Date:  2009 Jan 
Date Detail:
Created Date:  2009-01-05     Completed Date:  2009-02-02     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8809954     Medline TA:  J Evol Biol     Country:  Switzerland    
Other Details:
Languages:  eng     Pagination:  143-51     Citation Subset:  IM    
Department of Zoology, Edward Grey Institute, University of Oxford, Oxford, UK.
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MeSH Terms
Body Size / physiology*
Clutch Size / physiology*
Lizards / physiology*

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine

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