Trends in harbour porpoise abundance off central California, 1986-95: evidence for interannual changes in distribution?1

Resumen

This paper presents an updated analysis of trends in the abundance of harbour porpoise, Phocvena phocoena, in central and northern California, for the period 1986-95, The most recent survey effort (1995) was comparable to previous years, and regional pattcms of density ‘were similar to those found on past surveys, with densities lowest south of Monterey Bay, intermediate from Monterey Bay to the Russian River and highest off northern California. An analysis of covariance model was constructed to test for a trend in abundance while accounting for tho effects of sea state, cloud cover and ares, The results are qualitatively similar to diose obtained for the 1986-93 time series, but encounter rates were higher in 1995, and the estimated rate of decline over the entire time period changed from 9.4% to 5.9% per year. The decreasing tend is no longer significant at « = 0.10 {p = 0.149). A power analysis based on Monte Carlo simulations revealed that power remains low to detect trends of less than 10% per year. Possible effects of oceanographic conditions, as measured by the September average sea surface temperature anomaly (SSTa), on porpoise abundance are investigated using (wo diferent techniques. Correlation tests indicate an inverse relationship between SSTa and relative porpoise abundance for the eigbl survey years. The corelation is greatest when considcring the change between survey years (decreases in relative abundance and increases in $STa), rather than the individual values of relative abundance and SSTa, An alternate, Poisson-based generalised additive model (GAM) of porpoise sighting rates in relation to area, sea state, cloud cover, year and SSTa indicates a significant, non-linear effect of sea surface temperature on porpoise sighting rates, with no significant year effect once SSTa is included. These results suggest that harbour porpoise may exhibit interannual movement in and out of the study area in relation to changing oceanographic conditions.