Multivariate morphometrics and allometry and allometry in a polymorphic ant
Contribuinte(s) |
Universidade Estadual Paulista (UNESP) |
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Data(s) |
27/05/2014
27/05/2014
01/01/1994
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Resumo |
In this paper we describe how morphological castes can be distinguished using multivariate statistical methods combined with jackknife estimators of the allometric coefficients. Data from the polymorphic ant, Camponotus rufipes, produced two distinct patterns of allometric variation, and thus two morphological castes. Morphometric analysis distinguished different allometric patterns within the two castes, with overall variability being greater in the major workers. Caste-specific scaling variabilities were associated with the relative importance of first principal component. The static multivariate allometric coefficients for each of 10 measured characters were different between castes, but their relative magnitudes within castes were similar. Multivariate statistical analysis of worker polymorphism in ants is a more complete descriptor of shape variation than, and provides statistical and conceptual advantages over, the standard bivariate techniques commonly used. |
Formato |
153-163 |
Identificador |
http://dx.doi.org/10.1007/BF01240475 Insectes Sociaux, v. 41, n. 2, p. 153-163, 1994. 0020-1812 http://hdl.handle.net/11449/132278 10.1007/BF01240475 WOS:A1994NK12600004 2-s2.0-0028103047 |
Idioma(s) |
eng |
Publicador |
Birkhauser Verlag Ag |
Relação |
Insectes Sociaux |
Direitos |
closedAccess |
Palavras-Chave | #CASTE #ANT #MORPHOMETRICS #PRINCIPAL COMPONENT ANALYSIS #JACKKNIFE ESTIMATES |
Tipo |
info:eu-repo/semantics/article |