Pesca exploratoria y experimental con red de cerco artesanal en la Región Tumbes.2005

Se evaluó la utilización de la malla de 50 mm (2”) en redes de cerco artesanal de la Región Tumbes en una pesquería multiespecífica. Se trabajó con una red control de tamaño de malla de 38 mm (1,5”) y la red experimental de 50 mm (2,0”), con un porcentaje de embande de 0,65 y 0,77, respectivamente. Se determinó diferencia entre las curvas de profundidad de calado del cuerpo central de las redes (tc= 46,670, t*= 1,98, p= 0) la red experimental tuvo mayor profundidad de velado; entre las curvas de velocidad de caída del cuerpo central de las redes, hubo diferencia significativa (tc= 7,790, t*= 1,98, p = 0,000), debido al mayor lastre y filtrado de las mallas de la red experimental. El coeficiente abertura horizontal (μ1) de las mallas en la franja superior durante el máximo velado de la red y el gareteo fue en las mallas del cabecero o copo, parte central y ultimo cuerpo de la red, en promedio 0,71; 0,74 y 0,73 respectivamente; (valores cercanos al coeficiente de armado ideal para el escape de ciertos peces fusiformes). El promedio de μ1 obtenidos en la región de las mallas centrales en el cabecero, centro y ultimo cuerpo de la red fue 0,85; 0,85 y 0,84 respectivamente; lo que indicó una mayor abertura horizontal de las mallas por encima del valor del coeficiente de armado que no permitiría el escape de los peces. Se concluyó que por la condición de las mallas de la red de cerco experimental (tamaño de malla 50 mm) no es óptima para gran parte de la estructura de la red, esto no permitiría la selectividad por tamaños.

Trophic ecology of jumbo squid and predatory fishes in the Northern Humboldt Current System

This work provides a contribution to a better understanding of the trophic ecology of important predators in the Northern Humboldt Current System, the jack mackerel (Trachurus murphyi), the chub mackerel (Scomber japonicus) and the jumbo squid (Dosidicus gigas) by the characterization of the highly variable feeding patterns of these species at different spatiotemporal scales. We provided new knowledge on the comparative trophic behaviour of these species, defined as opportunistic in previous investigations. For that purpose we applied a variety of statistical methods to an extensive dataset of 27,188 non-empty stomachs. We defined the spatial organization of the forage fauna of these predators and documented changes in prey composition according to predators’ size and spatiotemporal features of environment. Our results highligh the key role played by the dissolved oxygen. We also deciphered an important paradox on the jumbo squid diet: why do they hardly forage on the huge anchovy (Engraulis ringens) biomass distributed of coastal Peru? We showed that the shallow oxygen minimum zone present off coastal Peru could hamper the co-occurrence of jumbo squids and anchovies. In addition, we proposed a conceptual model on jumbo squid trophic ecology including the ontogenetic cycle, oxygen and prey availability. Moreover we showed that the trophic behaviour of jack mackerel and chub mackerel is adapted to forage on more accessible species such as for example the squat lobster Pleurocondes monodon and Zoea larvae. Besides, both predators present a trophic overlap. But jack mackerel was not as oracious as chub mackerel, contradictorily to what was observed by others authors. Fish diet presented a high spatiotemporal variability, and the shelf break appeared as a strong biogeographical frontier. Diet composition of our fish predators was not necessarily a consistent indicator of changes in prey biomass. El Niño events had a weak effect on the stomach fullness and diet composition of chub mackerel and jack mackerel. Moreover, decadal changes in diet diversity challenged the classic paradigm of positive correlation between species richness and temperature. Finally, the global patterns that we described in this work, illustrated the opportunistic foraging behaviour, life strategies and the high degree of plasticity of these species. Such behaviour allows adaptation to changes in the environment.