...
首页> 外文期刊>Journal of Fish Biology >The effects of flow on schooling Devario aequipinnatus: school structure, startle response and information transmission
【24h】

The effects of flow on schooling Devario aequipinnatus: school structure, startle response and information transmission

机译:人流对学校教育的影响:学校结构,惊吓反应和信息传递

获取原文
获取原文并翻译 | 示例

摘要

To assess how flow affects school structure and threat detection, startle response rates of solitary and small groups of giant danio Devario aequipinnatus to visual looming stimuli were compared in flow and no-flow conditions. The instantaneous position and heading of each D. aequipinnatus was extracted from high-speed videos. Behavioural results indicate that (1) school structure is altered in flow such that D. aequipinnatus orient upstream while spanning out in a crosswise direction, (2) the probability of at least one D. aequipinnatus detecting the visual looming stimulus is higher in flow than no flow for both solitary D. aequipinnatus and groups of eight D. aequipinnatus; however, (3) the probability of three or more individuals responding is higher in no flow than in flow. These results indicate a higher probability of stimulus detection in flow but a higher probability of internal transmission of information in no flow. Finally, results were well predicted by a computational model of collective fright response that included the probability of direct detection (based on signal detection theory) and indirect detection (i.e. via interactions between group members) of threatening stimuli. This model provides a new theoretical framework for analysing the collective transfer of information among groups of fishes and other organisms.
机译:为了评估流量如何影响学校结构和威胁检测,在流量和无流量条件下,比较了单独的和小群的大型达尼奥天牛对视觉迫近刺激的惊吓反应率。从高速视频中提取了每个水母滴虫的瞬时位置和方向。行为结果表明:(1)学校结构的流量发生了变化,使得马兜铃木在横向延伸的同时朝向上游,(2)至少一个马兜铃木检测到视觉迫在眉睫的刺激的概率高于单独的D. aequipinnatus和八只D. aequipinnatus组均无流量;但是,(3)三个或更多个人做出响应的概率在无流量情况下要高于无流量情况。这些结果表明在流动中检测到刺激的可能性较高,但在无流动中内部传递信息的可能性较高。最后,通过集体恐惧反应的计算模型可以很好地预测结果,该模型包括威胁威胁刺激的直接检测(基于信号检测理论)和间接检测(即通过组成员之间的相互作用)的概率。该模型为分析鱼类和其他生物群之间的信息集体转移提供了新的理论框架。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号