Irvine Ladd M, Lagerquist Barbara A, Schorr Gregory S, Falcone Erin A, Mate Bruce R, Palacios Daniel M
Marine Mammal Institute, Oregon State University, Newport, OR, USA.
Department of Fisheries, Wildlife, and Conservation Sciences, Oregon State University, Newport, OR, USA.
Mov Ecol. 2025 Mar 18;13(1):19. doi: 10.1186/s40462-025-00542-9.
An animal's movement reflects behavioral decisions made to address ecological needs; specifically, that movement will become less directional in regions with high prey availability, indicating foraging behavior. In the marine realm, animal behavior occurs below the sea surface and is difficult to observe. We used an extensive satellite tagging dataset to explore how physical and biological habitat characteristics influence blue (Balaenoptera musculus) and fin (B. physalus) whale movement and foraging behavior in the California Current Ecosystem across four known bioregions.
We fitted movement models to 14 years of blue whale satellite tracking data and 13 years of fin whale data to characterize their movement persistence, with higher move persistence values representing more directional movement and lower move persistence values representing less directional movement. Models were evaluated against a range of physical and biological environmental predictors to identify significant correlates of low move persistence (i.e., presumed intensified foraging behavior). We then used data from a subset of sensor-equipped tags that monitored vertical behavior (e.g., dive and feeding), in addition to movement, to test the relationship between vertical behavior and movement persistence.
Low move persistence was strongly correlated with shallower water depth and sea surface height for both species, with additional effects of chlorophyll-a concentration, vorticity and marine nekton biomass for blue whales. Data from sensor-equipped tags additionally showed that low move persistence occurred when whales made more numerous feeding dives. Temporal patterns of bioregion occupancy coincided with seasonal peaks in productivity. Most blue whale low-move-persistence movements occurred in the northern, nearshore bioregion with a late-season peak in productivity and were evenly distributed across all bioregions for fin whales.
We demonstrated that low move persistence is indicative of increased feeding behavior for both blue and fin whales. The environmental drivers of low move persistence were similar to those previously identified for survey-based species distribution models, linking environmental metrics to subsurface behavior. Occupancy and movement behavior patterns across bioregions indicate both species moved to exploit seasonal and spatial variability in productivity, with blue whales especially focusing on the bioregion of highest productivity during late summer and fall.
动物的运动反映了为满足生态需求而做出的行为决策;具体而言,在猎物丰富的区域,运动的方向性会降低,这表明存在觅食行为。在海洋领域,动物行为发生在海面以下,难以观察。我们使用了一个广泛的卫星标记数据集,以探究物理和生物栖息地特征如何影响蓝鲸(Balaenoptera musculus)和长须鲸(B. physalus)在加利福尼亚洋流生态系统中四个已知生物区域的运动和觅食行为。
我们将运动模型应用于14年的蓝鲸卫星跟踪数据和13年长须鲸数据,以表征它们的运动持续性,运动持续性值越高表示运动方向性越强,运动持续性值越低表示运动方向性越弱。根据一系列物理和生物环境预测因子对模型进行评估,以确定低运动持续性(即假定的强化觅食行为)的显著相关因素。然后,我们使用来自配备传感器标签子集的数据,这些标签除了监测运动外,还监测垂直行为(如潜水和觅食),以测试垂直行为与运动持续性之间的关系。
两种鲸鱼的低运动持续性都与较浅的水深和海面高度密切相关,叶绿素a浓度、涡度和海洋中上层生物量对蓝鲸还有额外影响。配备传感器标签的数据还显示,当鲸鱼进行更多次觅食潜水时,运动持续性较低。生物区域占用的时间模式与生产力的季节性峰值一致。大多数蓝鲸低运动持续性运动发生在北部近岸生物区域,生产力在季节后期达到峰值,而长须鲸的此类运动在所有生物区域分布均匀。
我们证明,低运动持续性表明蓝鲸和长须鲸的觅食行为增加。低运动持续性的环境驱动因素与先前基于调查的物种分布模型所确定的因素相似,将环境指标与海面以下行为联系起来。各生物区域的占用和运动行为模式表明,两种鲸鱼都迁移至生产力具有季节性和空间变异性的区域进行觅食,蓝鲸尤其在夏末和秋季集中于生产力最高的生物区域。