Resumen del producto

The red grouper Epinephelus morio has been historically one of the most important fisheries of the Campeche Bank where two fleets of Mexico and one from Cuba participate. Current stock size has been estimated in one third, or less, respect to that in the 1970s (DOF 2006). Reproductive aggregation occurs during late winter when catchability notably increases being the stock highly vulnerable to fishing. After this time stock is dispersed along the continental shelf of Yucatan. Red grouper distribution is modeled using Neural Network Analysis, NNA, involving type of sediments and environmental variables. Time series of stock abundance for the last 30 years suggests a relationship with long term variation of sea surface temperature, SST, and the North Atlantic Oscillation index, NAO. Knowledge about reproductive process identifies preferred ranges of temperatures for reproductive aggregations. Based on global change indicators (NAO and SST) and results of spatial distribution of the red grouper we use a NNA approach to discussed potential changes in distribution impacting both, the stock and the fishery, as well as the implications on fisheries management. Under the current state of the fishery results are of relevance since effects of fishing and an important source of natural variation are identified and separated. The impact of this information will contribute with a reduction of uncertainty of management actions.

Palabras clave: red grouper; neural networks; transferencia trófica

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