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Exaggerated rostra as weapons and the competitive assessment strategy of male giraffe weevils

机译:夸大的罗斯特拉武器和雄性长颈鹿象鼻虫的竞争评估策略

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摘要

During agonistic contests, males may assess the relative differences between their own and their opponent's resource-holding potential or simply persist in a contest according to an internal threshold. Game theory models such as the sequential assessment model, energetic war of attrition, and the cumulative assessment model were developed to place assessment strategy in an evolutionary framework. Distinguishing between these models requires one to document contest structure and test predictions of the relationship between the size of the contestants and contest duration and probability of escalation. This study focused on the escalating fighting behavior and competitive assessment strategy of the New Zealand giraffe weevil (Lasiorhynchus barbicornis). Aggressive fighting occurred frequently between males of all sizes, and body length (which included rostrum length) was an important predictor of contest outcome. Contest duration was negatively related to body length difference and the size of the winning male and showed a nonsignificant positive relationship with loser size. The probability of fight escalation showed a significant negative relationship with body length difference, a positive relationship with loser size, and a nonsignificant negative relationship with winner size. Contests were also found to escalate, but not de-escalate, and behavioral matching did not occur during all phases. Male behavior during contests was therefore most consistent with mutual assessment under the sequential assessment model
机译:在激烈的比赛中,雄性可能会评估自己和对手的资源占有潜力之间的相对差异,或者只是根据内部阈值坚持参加比赛。开发了博弈论模型,例如顺序评估模型,高能消耗战和累积评估模型,以将评估策略置于进化框架中。在这些模型之间进行区分需要一个人来记录比赛的结构,并测试对参赛者人数与比赛持续时间以及升级概率之间关系的预测。这项研究的重点是新西兰长颈鹿象鼻虫(Lasiorhynchus barbicornis)不断升级的战斗行为和竞争评估策略。各种规模的男性之间经常发生激战,而体长(包括讲台长度)是比赛结果的重要预测指标。比赛时间长短与获胜雄性的体长和大小呈负相关,与失败者大小无显着正相关。战斗升级的可能性与身高差异显着负相关,与失败者大小正相关,与胜利者大小无显着负相关。还发现比赛在逐步升级,但并没有降低,并且行为匹配在所有阶段都没有发生。因此,比赛期间的男性行为与顺序评估模型下的相互评估最一致

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