Zeidberg et a\ The fishery for Loligo opalescens from 1981 through 2003 



49 



pressure in Tahiti and Darwin. NIN03 is determined by 

 averaging the SST anomalies over the eastern tropical 

 Pacific (5°S-5°N; 150°W-90°W). The buoys used were 

 the Monterey buoy (46042, 36°N 122°W) for the MB 

 region, the east Santa Barbara buoy (46053, 34.24°N 

 119.85°W) for the SB region, and the Santa Monica buoy 

 (46025, 33°N 119°W) for the remaining regions. 



We performed a spectral analysis of the entire time 

 series to look for significant periodicities in the daily 

 data for the entire 22-year data set. CPUE values were 

 natural log-transformed and smoothed with a Parzen 

 window (Ravier and Fromentin, 2001). We used a time 

 series analysis method of cross correlation to deter- 

 mine the lag period in months between CPUE and the 

 physical features of SST, SOI, NIN03, and UI and 

 their anomalies from averaged seasonal cycles. Using 

 this lag period we calculated linear regression of the 

 CPUE from SST. 



Sea surface temperature (SST) time series was ob- 

 tained from infrared satellite measurements with ad- 

 vanced very high resolution radiometers (AVHRRs) 

 on National Oceanic and Atmospheric Administration 

 (NOAA) meteorological satellites. The data were pro- 

 cessed at the University of Miami's Rosenstiel School 



of Marine and Atmospheric Science (RSMAS) and the 

 NOAA National Oceanographic Data Center (NODC) 

 within the scope of Pathfinder Project (version 4.1, 

 available from the Jet Propulsion Laboratory Physical 

 Oceanography Distributed Active Archive Center [JPL 

 PO DAAC]).!' 



We performed a stock-recruitment analysis from a 

 paralarvae density index (PDI). Paralarvae were col- 

 lected with paired nets (505-f<m mesh) without bridles, 

 deployed like bongo-nets, and towed in a double oblique 

 mode to 100 m depth. Samples were taken in February 

 from 1999 to 2003, every 7.5 km on transects in regions 

 SCB and SM (Zeidberg and Hamner, 2002). Flow meters 

 were used to standardize the number of paralarvae per 

 1000 m'^ of water. The PDI is the average number of 

 paralarvae/1000 m^ from all tows. We used linear re- 

 gression to compare the February PDI with the CPUE 

 for the large November adult recruitment event in the 

 SCB and SM regions of the same year. 



Statistics were performed with Statview 3.0 (Abacus 

 Concepts, Berkeley, CA) or Statistica 6.0 (Statsoft, Tul- 

 sa, OK). Interpretations of ^test, regression, ANOVA, 



http;//podaac.jpl. nasa.gov/ [Accessed on 15 March 2003.] 



