School of Biological Sciences, Lighthouse Field Station, University of Aberdeen, Cromarty, Ross-shire IV11 8YJ, UK.
Wildlife Ecology and Conservation Group and Wageningen Marine Research, Wageningen University and Research, Ankerpark 27, 1781 AG Den Helder, The Netherlands.
Proc Biol Sci. 2022 Mar 9;289(1970):20212261. doi: 10.1098/rspb.2021.2261. Epub 2022 Mar 2.
Given the patchiness and long-term predictability of marine resources, memory of high-quality foraging grounds is expected to provide fitness advantages for central place foragers. However, it remains challenging to characterize how marine predators integrate memory with recent prey encounters to adjust fine-scale movement and use of foraging patches. Here, we used two months of movement data from harbour seals () to quantify the repeatability in foraging patches as a proxy for memory. We then integrated these data into analyses of fine-scale movement and underwater behaviour to test how both spatial memory and prey encounter rates influenced the seals' area-restricted search (ARS) behaviour. Specifically, we used one month's GPS data from 29 individuals to build spatial memory maps of searched areas and archived accelerometery data from a subset of five individuals to detect prey catch attempts, a proxy for prey encounters. Individuals were highly consistent in the areas they visited over two consecutive months. Hidden Markov models showed that both spatial memory and prey encounters increased the probability of seals initiating ARS. These results provide evidence that predators use memory to adjust their fine-scale movement, and this ability should be accounted for in movement models.
鉴于海洋资源的分散性和长期可预测性,高质量觅食地的记忆预计将为中央觅食者提供适应优势。然而,描述海洋捕食者如何将记忆与最近的猎物遭遇相结合,以调整精细尺度的运动和觅食斑块的利用仍然具有挑战性。在这里,我们使用了两个月的港湾海豹()的运动数据来量化觅食斑块的可重复性,作为记忆的代表。然后,我们将这些数据整合到精细尺度运动和水下行为的分析中,以测试空间记忆和猎物遭遇率如何影响海豹的区域限制搜索(ARS)行为。具体来说,我们使用 29 只个体的一个月 GPS 数据来构建搜索区域的空间记忆图,并使用五个个体的一部分存档的加速度计数据来检测猎物捕捉尝试,这是猎物遭遇的代表。个体在连续两个月内访问的区域高度一致。隐马尔可夫模型表明,空间记忆和猎物遭遇都增加了海豹开始 ARS 的可能性。这些结果提供了证据表明捕食者使用记忆来调整它们的精细尺度运动,并且这种能力应该在运动模型中得到考虑。