Wark Abigail R, Wark Barry J, Lageson Tessa J, Peichel Catherine L
Division of Human Biology, Fred Hutchinson Cancer Research Center, 1100 Fairview Ave N, Seattle, WA 98109-1024, USA. Program in Neurobiology and Behavior, T471 Health Sciences Center, University of Washington, Seattle, WA 98195-7270, USA.
Behav Ecol Sociobiol. 2011 May;65(5):1147-1157. doi: 10.1007/s00265-010-1130-x.
Threespine sticklebacks (Gasterosteus aculeatus) from different habitats have been observed to differ in shoaling behavior, both in the wild and in laboratory studies. In the present study, we surveyed the shoaling behavior of sticklebacks from a variety of marine, lake, and stream habitats throughout the Pacific Northwest. We tested the shoaling tendencies of 113 wild-caught sticklebacks from 13 populations using a laboratory assay that was based on other published shoaling assays in sticklebacks. Using traditional behavioral measures for this assay, such as time spent shoaling and mean position in the tank, we were unable to find population differences in shoaling behavior. However, simple plotting techniques revealed differences in spatial distributions during the assay. When we collapsed individual trials into population-level data sets and applied information theoretic measurements, we found significant behavioral differences between populations. For example, entropy estimates confirm that populations display differences in the extent of clustering at various tank positions. Using log-likelihood analysis, we show that these population-level observations reflect consistent differences in individual behavioral patterns that can be difficult to discriminate using standard measures. The analytical techniques we describe may help improve the detection of potential behavioral differences between fish groups in future studies.
在野外和实验室研究中均观察到,来自不同栖息地的三刺鱼(Gasterosteus aculeatus)在聚群行为上存在差异。在本研究中,我们调查了太平洋西北地区各种海洋、湖泊和溪流栖息地的三刺鱼的聚群行为。我们使用一种基于已发表的其他三刺鱼聚群实验方法的实验室测定法,测试了来自13个种群的113条野生捕获三刺鱼的聚群倾向。使用该测定法的传统行为测量指标,如聚群时间和在水箱中的平均位置,我们未能发现聚群行为上的种群差异。然而,简单的绘图技术揭示了测定过程中空间分布的差异。当我们将个体试验汇总为种群水平的数据集并应用信息论测量方法时,我们发现种群之间存在显著的行为差异。例如,熵估计证实,不同种群在水箱不同位置的聚集程度存在差异。通过对数似然分析,我们表明这些种群水平的观察结果反映了个体行为模式的一致差异,而使用标准测量方法可能难以区分这些差异。我们所描述的分析技术可能有助于在未来的研究中更好地检测鱼群之间潜在的行为差异。