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幼年美洲龙虾(美洲螯龙虾)争斗行为的定量分析。

A quantitative analysis of agonistic behavior in juvenile American lobsters (Homarus americanus L.).

作者信息

Huber R, Kravitz E A

机构信息

Harvard Medical School, Department of Neurobiology, Boston, Mass., USA.

出版信息

Brain Behav Evol. 1995;46(2):72-83. doi: 10.1159/000113260.

Abstract

In these studies a quantitative analysis of agonistic (fighting) behavior in lobsters in presented as a first step in our attempt to relate patterns of behavior to underlying neurobiological mechanisms. The agonistic behavior of juvenile American lobsters (Homarus americanus L.) was studied in laboratory tanks at the New England Aquarium. Using video analyses and statistical techniques: (1) an ethogram of agonistic behavior was constructed; and (2) the temporal structure of the behavior was identified. We demonstrated that fighting in juvenile lobsters proceeds according to strict rules of conduct. All animals exhibit six common behavioral patterns in a stereotypical manner. A temporal sequence of these patterns was evident, representing an increase in intensity during confrontations. The typical scenario of an encounter begins with extensive threat displays upon first contact, continues with periods of ritualized aggression and restrained use of the claws, and terminates in a brief session of unrestrained combat. Predictions of game theory (i.e. assessment strategies) provide a useful framework for the understanding of fighting in lobsters. The presence of a highly structured behavioral system may reduce the potential for damage in fights among conspecifics, and may prove useful in attempts to study the neurobiological causes of complex behavioral patterns such as aggression.

摘要

在这些研究中,作为我们尝试将行为模式与潜在神经生物学机制联系起来的第一步,对龙虾的争斗行为进行了定量分析。在新英格兰水族馆的实验室水箱中研究了幼年美洲龙虾(美洲螯龙虾)的争斗行为。使用视频分析和统计技术:(1)构建了争斗行为的行为图谱;(2)确定了行为的时间结构。我们证明,幼年龙虾的争斗是按照严格的行为规则进行的。所有动物都以刻板的方式表现出六种常见的行为模式。这些模式的时间顺序很明显,代表着对抗过程中强度的增加。一次遭遇的典型场景开始于首次接触时广泛的威胁展示,接着是仪式化攻击和适度使用爪子的阶段,最后以短暂的无节制战斗结束。博弈论的预测(即评估策略)为理解龙虾的争斗提供了一个有用的框架。高度结构化的行为系统的存在可能会降低同种个体间争斗造成伤害的可能性,并且可能有助于研究诸如攻击等复杂行为模式的神经生物学原因。

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