IAFE   05512
INSTITUTO DE ASTRONOMIA Y FISICA DEL ESPACIO
Unidad Ejecutora - UE
artículos
Título:
Zooming the macroscope medium resolution remote sensing as a framework for the assessment of a small-scale fishery
Autor/es:
AMOROSO,RICARDO O.; PARMA, ANA. M. ; ORENSANZ, J. M. (LOBO) ; .GAGLIARDINI, DOMINGO A
Revista:
ICES JOURNAL OF MARINE SCIENCE
Editorial:
OXFORD UNIV PRESS
Referencias:
Lugar: Oxford; Año: 2010 vol. 68 p. 696 - 706
ISSN:
1054-3139
Resumen:
Managementofsmall-scale fisheries targeting sedentary stocks requires integration of information about processes operating and observable at different spatial and temporal scales. An integrated approach was developed with ascallop (Aequipectentehuelchus) fishery in a small,semi-enclosed Patagonian basin as a demonstration case. Medium-resolution(30m2) satellite(Landsat) data, used to identify circulation patterns, were combined with information from fishery surveys and recruitment experiments to link oceanographic processes with population dynamics.  A frontal system splits SanJose Gulf(northern Argentine Patagonia) into two oceanographic domains(EastandWest) with distinct hydrographic regimes.Inthe West Domain,where circulation is highly advective and governed by turbulent vorticial fluxes, larval settlement on artificial collectors was insignificant over five reproductive seasons and no important scallop grounds were ever found. In the East Domain, where the main fishing ground sare, spat abundance varied between sites and years, but was always significant. Growth rates displayed strong clinal variation within the East Domain, decreasing clockwiseaway from the entrance to the Gulf and reflecting inferred circulation and gradual nutrient extinction. A physical mechan­ism capable of dispersing larvae over long distances towards the north, in to the adjacent San Matias Gulf,was identified from Landsat images. Thelarge-scale patterns of variation in growth, distribution, and recruitment of the Tehuelche scallop stock could not have been interpreted without an integrative approach to data assemblage and analysis, including satellite remote sensing.