Monk Christopher T, Aslak Ulf, Brockmann Dirk, Arlinghaus Robert
Marine Evolutionary Ecology, GEOMAR Helmholtz Centre for Ocean Research Kiel, Düsternbrooker Weg 20, Kiel, 24105, Germany.
Department of Fish Biology, Fisheries and Aquaculture, Leibniz Institute of Freshwater Ecology and Inland Fisheries, Müggelseedamm 310, Berlin, 12587, Germany.
Mov Ecol. 2023 Sep 14;11(1):56. doi: 10.1186/s40462-023-00410-4.
Animals are expected to adjust their social behaviour to cope with challenges in their environment. Therefore, for fish populations in temperate regions with seasonal and daily environmental oscillations, characteristic rhythms of social relationships should be pronounced. To date, most research concerning fish social networks and biorhythms has occurred in artificial laboratory environments or over confined temporal scales of days to weeks. Little is known about the social networks of wild, freely roaming fish, including how seasonal and diurnal rhythms modulate social networks over the course of a full year. The advent of high-resolution acoustic telemetry enables us to quantify detailed social interactions in the wild over time-scales sufficient to examine seasonal rhythms at whole-ecosystems scales. Our objective was to explore the rhythms of social interactions in a social fish population at various time-scales over one full year in the wild by examining high-resolution snapshots of a dynamic social network.
To that end, we tracked the behaviour of 36 adult common carp, Cyprinus carpio, in a 25 ha lake and constructed temporal social networks among individuals across various time-scales, where social interactions were defined by proximity. We compared the network structure to a temporally shuffled null model to examine the importance of social attraction, and checked for persistent characteristic groups over time.
The clustering within the carp social network tended to be more pronounced during daytime than nighttime throughout the year. Social attraction, particularly during daytime, was a key driver for interactions. Shoaling behavior substantially increased during daytime in the wintertime, whereas in summer carp interacted less frequently, but the interaction duration increased. Therefore, smaller, characteristic groups were more common in the summer months and during nighttime, where the social memory of carp lasted up to two weeks.
We conclude that social relationships of carp change diurnally and seasonally. These patterns were likely driven by predator avoidance, seasonal shifts in lake temperature, visibility, forage availability and the presence of anoxic zones. The techniques we employed can be applied generally to high-resolution biotelemetry data to reveal social structures across other fish species at ecologically realistic scales.
动物有望调整其社会行为以应对环境中的挑战。因此,对于生活在温带地区、面临季节性和每日环境波动的鱼类种群来说,其社会关系的特征性节律应该很明显。迄今为止,大多数关于鱼类社会网络和生物节律的研究都是在人工实验室环境中进行的,或者是在几天到几周的有限时间尺度上开展的。对于野生的、自由游动的鱼类的社会网络,我们了解甚少,包括季节性和昼夜节律如何在一整年的时间里调节社会网络。高分辨率声学遥测技术的出现,使我们能够在足够长的时间尺度上量化野生环境中详细的社会互动,从而在整个生态系统尺度上研究季节性节律。我们的目标是通过检查动态社会网络的高分辨率快照,探索野生环境中一个社会鱼类种群在一整年的不同时间尺度上的社会互动节律。
为此,我们在一个25公顷的湖泊中追踪了36条成年鲤鱼(Cyprinus carpio)的行为,并在不同时间尺度上构建了个体之间的时间性社会网络,其中社会互动由接近程度来定义。我们将网络结构与时间随机化的零模型进行比较,以检验社会吸引力的重要性,并检查随着时间推移是否存在持续的特征性群体。
全年中,鲤鱼社会网络内的聚集性在白天往往比夜间更为明显。社会吸引力,尤其是在白天,是互动的关键驱动因素。在冬季,白天的聚群行为大幅增加,而在夏季,鲤鱼之间的互动频率较低,但互动持续时间增加。因此,较小的特征性群体在夏季月份和夜间更为常见,此时鲤鱼的社会记忆可持续长达两周。
我们得出结论,鲤鱼的社会关系随昼夜和季节变化。这些模式可能是由躲避捕食者、湖泊温度的季节性变化、能见度、食物可获得性以及缺氧区域的存在所驱动的。我们所采用的技术可以普遍应用于高分辨率生物遥测数据,以在生态现实尺度上揭示其他鱼类物种的社会结构。