%0 Journal Article
%@holdercode {isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S}
%@nexthigherunit 8JMKD3MGPCW/3ER446E
%@resumeid
%@resumeid
%@resumeid 8JMKD3MGP5W/3C9JHHN
%X This study investigates the relationship between yellowfin tuna (Thunnus albacares) caught in the tropical Atlantic between 158S and 158N and 108W and 558W by the northeast Brazilian longline fleet, and environmental variables obtained from remote sensors such as sea surface temperature (AVHRR/NOAA), chlorophyll-a concentration (SeaWiFS/SeaStar), sea surface height anomaly (TOPEX/Poseidon), and wind velocity (Scatterometer/ERS-1 and -2). The observed relationships between longline catch data, expressed as catch per unit effort (CPUE), and the satellite data were analysed using the statistical method of generalized additive models (GAMs). CPUE was calculated as the number of fish caught by 100 hooks in 18 latitude by 18 longitude square grid and integrated into a month of fishing activity for the period of 19952000. Results obtained showed evidences of non-linear relationships between catch yields and environmental data. The largest CPUE of yellowfin tuna in the region seems to be strongly associated with the Intertropical Convergence Zone (ITCZ) position and its temporal variability. In the model, this was confirmed by the highest correlation of CPUE with the meridional wind component. This result also indicates 58S as the southern limit for a larger concentration of this species during the most productive fishing period between March and May. In decreasing order of importance, sea surface temperature, chlorophyll-a concentration and sea surface height anomaly, albeit statistically significant, seemed to be of secondary importance in controlling this species abundance in the region.
%N 1-2
%T Remote sensing data and longline catches of yellowfin tuna (thunnus albacares) in equatorial Atlantic
%@secondarytype PRE PI
%K OCEANOGRAFIA, generalized additive models,  yellowfin tuna, Thunnus albacares, Tropical Atlantic, CPUE, Longline.
%@archivingpolicy denypublisher allowfinaldraft24
%@usergroup administrator
%@usergroup sergio
%@group DSR-INPE-MCT-BR
%@group DSR-INPE-MCT-BR
%@group DSR-INPE-MCT-BR
%3 remote sensing data.pdf
%@secondarykey INPE-12171-PRE/7510
%@copyholder SID/SCD
%@issn 0034-4257
%2 sid.inpe.br/sergio/2005/02.15.07.56.08
%@project Programa HIDRO
%B Remote Sensing of Environment
%@versiontype publisher
%P 267 - 281
%4 sid.inpe.br/sergio/2005/02.15.07.56
%@documentstage not transferred
%D 2004
%V 93
%A Zagaglia, C. R.,
%A Lorenzzetti, João Antonio,
%A Stech, Jose Luiz,
%@dissemination WEBSCI; PORTALCAPES; MGA; COMPENDEX.
%@area SRE