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Effects of fluctuations in sea-surface temperature on the occurrence of small cetaceans off Southern California

机译:海面温度的波动对南加州外小鲸类的发生的影响

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The link between ocean temperature and spatial and temporal distribution patterns of 8 species of small cetaceans off Southern California was examined during the period 1979-2009. Averages and anomalies of sea-surface temperatures (SSTs) were used as proxies for SST fluctuations on 3 temporal scales: seasonal, El Nino-Southern Oscillations (ENSO), and Pacific Decadal Oscillations (PDO). The hypothesis that cetacean species assemblages and habitat associations in southern California waters co-vary with these periodic changes in SST was tested by using generalized additive models. Seasonal SST averages were included as a predictor in the models for Dall's porpoise (Phocoenoides dalli), and common dolphins (Delphinus spp.), northern right whale dolphin (Lissodelphis borealis), and Risso's dolphin (Grampus griseus). The ENSO index was included as a predictor for northern right whale, long-beaked common (Delphinus capensis), and Risso's dolphins. The PDO index was selected as a predictor for Dall's porpoise and Pacific white-sided (Lagenorhynchus obliquidens), common, and bottlenose (Tursiops truncatus) dolphins. A metric of bathymetric depth was included in every model, and seafloor slope was included in 5 of the 9 models, an indication of a distinctive spatial distribution for each species that may represent niche or resource partitioning in a region where multiple species have overlapping ranges. Temporal changes in distribution are likely a response to changes in prey abundance or dispersion, and these patterns associated with SST variation may foreshadow future, more permanent shifts in distribution range that are due to global climate change
机译:在1979-2009年期间,研究了南加州外8种小鲸类海洋温度与时空分布模式之间的联系。海平面温度(SST)的平均值和反常值被用作3个时间尺度上SST波动的代理:季节性,厄尔尼诺-南方涛动(ENSO)和太平洋十年涛动(PDO)。通过使用广义加性模型,检验了南加州水域鲸类物种的集合和栖息地联系与SST的这些周期性变化共同变化的假说。在Dall的海豚(Phocoenoides dalli)和普通的海豚(Delphinus spp。),北部的右鲸海豚(Lissodelphis borealis)和Risso的海豚(Grampus griseus)的模型中,季节性SST平均值已作为预测指标。 ENSO指数被作为北鲸,长喙普通鲸(德海豚)和里索海豚的预测因子。选择PDO指数作为Dall海豚和太平洋白面(Lagenorhynchus obliquidens),普通和宽吻海豚(Tursiops truncatus)海豚的预测指标。 9个模型中的5个模型均包含测深深度度量,而9个模型中的5个模型均包含海底坡度,这表明每种物种都有独特的空间分布,这可能表示多个物种重叠范围的区域中的生态位或资源分配。分布的时间变化可能是对猎物数量或分布变化的反应,而与海表温度变化有关的这些模式可能预示着未来,由于全球气候变化,分布范围将发生更持久的变化

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