M. Castillo-rivera et al., Feeding biology of the flatfish Citharichthys spilopterus (Bothidae) in a tropical estuary of Mexico, J APP ICHTH, 16(2), 2000, pp. 73-78
Citations number
34
Categorie Soggetti
Aquatic Sciences
Journal title
JOURNAL OF APPLIED ICHTHYOLOGY-ZEITSCHRIFT FUR ANGEWANDTE ICHTHYOLOGIE
The flatfish Citharichthys spilopterus Gunther 1862 is the most common both
id in the coastal lagoons of the Gulf of Mexico. The objective of the prese
nt study was to describe the trophic biology of this species in the tropica
l coastal lagoon of Tampamachoco, Mexico. For the diet analysis, we used mu
ltivariate discriminant analysis and trophic niche breadth. The morphologic
al analysis showed that the features of the bucco-pharyngeal cavity, the la
rge stomach and the short intestine of this flatfish relate to a carnivorou
s habit. The overall diet showed that this species is a third-order consume
r, feeding mainly on fish (52%, mainly gobies) and crustaceans (36%, mostly
decapods). Diet and trophic niche breadth showed no significant difference
s between sexes (P > 0.1). By contrast, there were significant ontogenetic
differences in the diet and trophic niche breadth, where larger C. spilopte
rus were almost entirely piscivorous and showed the narrowest trophic niche
. As the flatfish grew in size there was a trend toward the consumption of
larger prey. The importance of copepods and peracarids correlated inversely
with flatfish size (P < 0.001), but fish prey correlated directly to flatf
ish size (P < 0.001). Likewise, there was an inverse significant correlatio
n between niche trophic breadth and flatfish size (P < 0.005). There were a
lso significant seasonal differences in the diet (P < 0.02), related to the
availability and vulnerability of prey in the lagoon during the dry and ra
iny seasons. However, the trophic niche showed no significant differences b
etween seasons. Finally, we discuss the advantages of discriminant analysis
applied to evaluate differences among diets of fish groups when compared w
ith other bivariate and multivariate techniques.