Multivariate morphometrics and allometry and allometry in a polymorphic ant


Autoria(s): Diniz-Filho, J. A F; Von Zuben, C. J.; Fowler, H. G.; Schlindwein, M. N.; Bueno, O. C.
Contribuinte(s)

Universidade Estadual Paulista (UNESP)

Data(s)

27/05/2014

27/05/2014

01/01/1994

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