Department of Biology, Dalhousie University, 1355 Oxford Street, Halifax, Nova Scotia B3H 4J1, Canada.
Ecology. 2009 Nov;90(11):3209-21. doi: 10.1890/07-1483.1.
In many large pelagic animals, observing behavior is limited to observation by radio or satellite telemetry. In many cases, discriminating different behaviors from telemetry data has been a key, but often elusive, goal. Here we use state-space models (SSMs) to fit a correlated random walk (CRW) model that switches between two unobserved behavioral states (nominally foraging and traveling) to 41 male and 43 female adult grey seal (Halichoerus grypus) satellite telemetry tracks. The SSM results reveal markedly different spatial behavior between the sexes, fitting well with sexual size dimorphism and known dietary differences, suggesting that the sexes deal with seasonal prey availability and reproductive costs differently. From these results we were also able to produce behaviorally informed habitat use maps, showing a complex and dynamic network of small, intensely used foraging areas. Our flexible SSM approach clearly demonstrates sex-related behavioral differences, fine scale spatial and temporal foraging patterns, and a clearer picture of grey seal ecology and role in the Scotian Shelf ecosystem.
在许多大型远洋动物中,观察行为仅限于通过无线电或卫星遥测进行观察。在许多情况下,从遥测数据中区分不同的行为是一个关键,但往往难以捉摸的目标。在这里,我们使用状态空间模型(SSM)来拟合一个相关的随机游走(CRW)模型,该模型在两个未观察到的行为状态(名义上是觅食和旅行)之间切换,以适应 41 只雄性和 43 只雌性成年灰海豹(Halichoerus grypus)卫星遥测轨迹。SSM 结果揭示了性别之间明显不同的空间行为,与性大小二态性和已知的饮食差异非常吻合,表明性别以不同的方式应对季节性猎物的可利用性和生殖成本。从这些结果中,我们还能够生成行为知情的栖息地利用图,显示出一个复杂而动态的小面积密集觅食区网络。我们灵活的 SSM 方法清楚地展示了与性别相关的行为差异、精细的时空觅食模式,以及对灰海豹生态学和在斯科舍 shelves 生态系统中作用的更清晰认识。