Fisheries Oceanography · 2008 · 41 citations · 30 references
Natural ResourcesFisheriesMarine SciencesFisheries BiologyMarine EcologyMarine FisheriesAbundance EstimationFish Spatial EcologyFisheries EcologyMarine Population DynamicsPopulation ModelingSpatial Distribution AnalysisFisheries-environment InteractionsFishery Population DynamicsLongline FishingRelative Abundance AnalysisSeasonal VariationSpatial Distribution Of CatchSpatial Generalized Additive ModelsTemporal Variability In Catch
Abstract Blue marlin is distributed throughout tropical and temperate waters in the Pacific Ocean. However, the preference of this species for particular habitats may impact its vulnerability to being caught. The relationship between spatio‐temporal patterns of blue marlin abundance and environmental factors is examined using generalized additive models fitted to catch and effort data from longline fisheries. The presence of blue marlin, and the catch rate given presence, are modeled separately. Latitude, longitude, and sea‐surface temperature explain the greatest proportion of the deviance. Spatial distributions of relative density of blue marlin, based on combining the probability of presence and relative density given presence, indicate that there is seasonal variation in the distribution of blue marlin, and that the highest densities occur in the tropics. Seasonal patterns in the relative density of blue marlin appear to be related to shifts in SST. The distribution and relative abundance of blue marlin are sufficiently heterogeneous in space and time that the results of analyses of catch and effort data to identify ‘hotspots’ could be used as the basis for time‐area management to reduce the amount of blue marlin bycaught in longline fisheries.
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R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
Robert A. Koyak, T. J. Hastie, Ryan J. Tibshirani · Journal of the American Statistical Association · 1991 · 7.7K citations