INVESTIGADORES
BELLEGGIA Mauro
congresos y reuniones científicas
Título:
The Diets of the Spiny Dogfish Species (Squalus acanthias, S. mitsukurii and S. cubensis) From the Northern Argentinean Continental Shelf
Autor/es:
BELLEGGIA MAURO; FIGUEROA DANIEL E.; MASSA ANA; BURGESS GEORGE; BREMEC CLAUDIA
Lugar:
Chattanooga, Tennessee
Reunión:
Congreso; Joint Meeting of Ichthyologists and Herpetologists; 2014
Institución organizadora:
American Society of Ichthyologist and Herpertologists
Resumen:
In the southwest Atlantic Ocean inhabit
three Squalidae species: Squalus
acanthias, S. cubensis and S. mitsukurii. In spite of the diet of
the former was widely studied in Argentina and worldwide, the trophic ecology
of S. cubensis and S. mitsukurii remain unknown. In this
context the diets of these two species were studied based on analysis of
stomach contents from specimens caught during three research cruises on the
northern Argentinean continental shelf (34° S ? 41° S). Prey
items were identified to the lowest possible taxonomic level, counted and
weighted. A total of 214 specimens of S.
cubensis were analyzed from which 176 (82.24%) contained prey items. From
414 specimens of S. mitsukurii analyzed,
289 (69.80%) contained food in their stomachs. Squalus mitsukurii fed on fish (%IRI=54.1%), crustaceans
(%IRI=25.04%) and cephalopods (%IRI=18.89%). The argentine anchovy Engraulis anchoita, the argentine hake Merluccius hubbsi and hagfishes
Mixinidae were among the most important identified fishes. The euphausiids were
the most consumed crustaceans, whereas Illex
argentinus, Loligo sanpaulensis
were the preferred cephalopods. On the other hand, the diet of S. cubensis
was composed mostly by fishes (%IRI=84.96%), followed by crustaceans
(%IRI=9.99%) and cephalopods (%IRI=1.99%). The most important prey items
identified in the diet of S. cubensis
were the same to those found in S. mitsukurii, but differed in proportions.
The hypotheses that the diet is determined by intrinsic (total length, sex,
maturity) and extrinsic factors (area, season) were tested by fitting
generalized linear models (GLMs).