Šmejkal Marek, Bartoň Daniel, Blabolil Petr, Kolařík Tomáš, Kubečka Jan, Sajdlová Zuzana, Souza Allan T, Brabec Marek
Institute of Hydrobiology, Biology Centre of the Czech Academy of Sciences, České Budějovice, Czech Republic.
Institute for Atmospheric and Earth System Research INAR, Forest Sciences, Faculty of Agriculture and Forestry, University of Helsinki, Helsinki, Finland.
Mov Ecol. 2023 Mar 22;11(1):16. doi: 10.1186/s40462-023-00379-0.
Animal migrations are periodic and relatively predictable events, and their precise timing is essential to the reproductive success. Despite large scientific effort in monitoring animal reproductive phenology, identification of complex environmental cues that determine the timing of reproductive migrations and temporal changes in the size of reproductive aggregations in relation to environmental variables is relatively rare in the current scientific literature.
We tagged and tracked 1702 individuals of asp (Leuciscus aspius), a large minnow species, and monitored with a resolution of one hour the size of their reproductive aggregations (counts of sexes present at the breeding grounds standardized by the sum of individuals in the season) over seven breeding seasons using passive integrated transponder tag systems. We examined the size of reproductive aggregations in relation to environmental cues of day number within a reproductive season (intra-year seasonality), water temperature, discharge, hour in a day (intra-day pattern), temperature difference between water and air, precipitation, atmospheric pressure, wind speed and lunar phase. A generalized additive model integrating evidence from seven breeding seasons and providing typical dynamics of reproductive aggregations was constructed.
We demonstrated that all environmental cues considered contributed to the changes in the size of reproductive aggregations during breeding season, and that some effects varied during breeding season. Our model explained approximately 50% of the variability in the data and the effects were sex-dependent (models of the same structure were fitted to each sex separately, so that we effectively stratified on sex). The size of reproductive aggregations increased unimodally in response to day in season, correlated positively with water temperature and wind speed, was highest before and after the full moon, and highest at night (interacting with day in a season). Males responded negatively and females positively to increase in atmospheric pressure.
The data demonstrate complex utilization of available environmental cues to time reproductive aggregations in freshwater fish and their interactions during the reproductive season. The study highlights the need to acquire diverse data sets consisting of many environmental cues to achieve high accuracy of interpretation of reproductive timing.
动物迁徙是周期性且相对可预测的事件,其精确时间对于繁殖成功至关重要。尽管在监测动物繁殖物候方面投入了大量科学努力,但在当前科学文献中,确定决定繁殖迁徙时间的复杂环境线索以及繁殖聚集规模相对于环境变量的时间变化的研究相对较少。
我们标记并追踪了1702条欧洲圆腹雅罗鱼(Leuciscus aspius),这是一种大型鲤科小鱼,使用被动集成应答器标签系统,在七个繁殖季节中,以一小时的分辨率监测其繁殖聚集规模(繁殖地的性别数量通过该季节个体总数标准化)。我们研究了繁殖聚集规模与繁殖季节内天数(年内季节性)、水温、流量、一天中的小时数(日内模式)、水与空气的温差、降水量、大气压力、风速和月相这些环境线索之间的关系。构建了一个整合七个繁殖季节证据并提供繁殖聚集典型动态的广义相加模型。
我们证明,所考虑的所有环境线索都对繁殖季节繁殖聚集规模的变化有影响,并且一些影响在繁殖季节中有所不同。我们的模型解释了数据中约50%的变异性,且影响存在性别差异(对每种性别分别拟合相同结构的模型,因此我们有效地按性别进行了分层)。繁殖聚集规模随季节天数呈单峰增加,与水温和风速呈正相关,在满月前后最高,且在夜间最高(与季节中的天数相互作用)。雄性对大气压力增加的反应为负,雌性为正。
数据表明淡水鱼在繁殖季节利用可用环境线索来确定繁殖聚集时间及其相互作用的方式很复杂。该研究强调需要获取包含许多环境线索的多样化数据集,以实现对繁殖时间解释的高精度。