Application of remote sensing to the study of the pelagic spiny lobster larval transport in the Tropical Atlantic
Keywords:Satellite data, Altimetry, Larval transport, El Niño
AbstractThe connectivity of marine populations via larval dispersal is crucial for the maintenance of fisheries production and biodiversity. Because larval dispersion takes place on different spatial scales, global operational satellite data can be successfully used to investigate the connectivity of marine populations on different spatial and temporal scales. In fact, satellite data have long been used for the study of the large and mesoscale biological processes associated with ocean dynamics. This paper presents simulations of spiny lobster larvae transport in the Tropical Atlantic using the geostrophic currents, generated by altimetry that feeds an advection/diffusion model. Simulations were conducted over the Tropical Atlantic (20ºN to 15ºS), considering four larvae release areas: the Cape Verde Archipelago, the Ivory Coast, Ascension Island and Fernando de Noronha Archipelago. We used mean geostrophic current (MGC) calculated from 2001 to 2005 to represent the mean circulation of the Tropical Atlantic. We also ran the model for the El Niño geostrophic current regime (ENGC) using part of the MGC data, representing the El Niño 2002/2003 event. Results suggest that the intensification of the mesoscale ocean processes associated with El Niño events promotes the connectivity between populations, increasing the chances of a genetic flux among different stocks. We concluded that the altimetry geostrophic current data together with a relatively simple advection/diffusion model can provide useful information about the physical dynamics necessary to conduct studies on larval dispersion.
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How to Cite
Rudorff, C. A. G., Lorenzzetti, J. A., Gherardi, D. F. M., & Lins-Oliveira, J. E. (2009). Application of remote sensing to the study of the pelagic spiny lobster larval transport in the Tropical Atlantic. Brazilian Journal of Oceanography, 57(1), 7-16. https://doi.org/10.1590/S1679-87592009000100002