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利用他人努力进行搭便车的多个同时出现的机会所带来的后果。

Consequences of multiple simultaneous opportunities to exploit others' efforts on free riding.

作者信息

Dubois Frédérique, Richard-Dionne Étienne

机构信息

Department of Biological Sciences University of Montreal Montreal Quebec Canada.

出版信息

Ecol Evol. 2020 Apr 16;10(10):4343-4351. doi: 10.1002/ece3.6201. eCollection 2020 May.

Abstract

Individuals within a group do not all act in the same way: Typically, the investors (or producers) put efforts into producing resources while the free riders (or scroungers) benefit from these resources without contributing. In behavioral ecology, the prevalence of free riders can be predicted by a well-known game-theoretical model-the producer-scrounger (PS) model-where group members have the options to either search for resources (producers) or exploit the efforts of others (scroungers). The PS model has received some empirical support, but its predictions, surprisingly, are based on the strict assumption that only one resource can be exploited at a time. Yet, multiple simultaneous opportunities to exploit others' efforts should frequently occur in nature. Here, we combine analytic and simulation approaches to explore the effect of multiple simultaneous scrounging opportunities on tactic use. Our analyses demonstrate that scrounging rates should increase with the number of simultaneous opportunities. As such, the amount and spatial distribution (i.e., clumped vs. dispersed) of resources as well as the risk of predation are key predictors of scrounging behavior. Because scroungers contribute to reducing the speed of resource exploitation, the model proposed here has direct relevance to the exploitation and sustainability of renewable resources.

摘要

群体中的个体行为方式并非完全相同

通常,投资者(或生产者)投入精力生产资源,而搭便车者(或窃取者)不做贡献却从这些资源中受益。在行为生态学中,搭便车者的普遍程度可以通过一个著名的博弈论模型——生产者-窃取者(PS)模型来预测,在该模型中,群体成员可以选择要么寻找资源(生产者),要么利用他人的努力成果(窃取者)。PS模型得到了一些实证支持,但令人惊讶的是,其预测基于一个严格的假设,即一次只能利用一种资源。然而,自然界中应该经常会出现多个同时利用他人努力成果的机会。在这里,我们结合分析和模拟方法来探究多个同时存在的窃取机会对策略使用的影响。我们的分析表明,窃取率应随着同时存在的机会数量增加而上升。因此,资源的数量和空间分布(即聚集型与分散型)以及被捕食的风险是窃取行为的关键预测因素。由于窃取者会降低资源开发的速度,这里提出的模型与可再生资源的开发和可持续性直接相关。

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