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Prey diversity as a driver of resource partitioning between river‐dwelling fish species

机译:猎物多样性是河栖鱼类之间资源分配的驱动力

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摘要

Although food resource partitioning among sympatric species has often been explored in riverine systems, the potential influence of prey diversity on resource partitioning is little known. Using empirical data, we modeled food resource partitioning (assessed as dietary overlap) of coexisting juvenile Atlantic salmon (Salmo salar) and alpine bullhead (Cottus poecilopus). Explanatory variables incorporated into the model were fish abundance, benthic prey diversity and abundance, and several dietary metrics to give a total of seventeen potential explanatory variables. First, a forward stepwise procedure based on the Akaike information criterion was used to select explanatory variables with significant effects on food resource partitioning. Then, linear mixed‐effect models were constructed using the selected explanatory variables and with sampling site as a random factor. Food resource partitioning between salmon and bullhead increased significantly with increasing prey diversity, and the variation in food resource partitioning was best described by the model that included prey diversity as the only explanatory variable. This study provides empirical support for the notion that prey diversity is a key driver of resource partitioning among competing species.
机译:尽管经常在河流系统中探索同伴物种之间的食物资源分配,但鲜为人知的是猎物多样性对资源分配的潜在影响。使用经验数据,我们对少年大西洋鲑(Salmo salar)和高山bull头(Cottus poecilopus)共存的食物资源分配(评估为饮食重叠)进行建模。纳入模型的解释变量是鱼的丰度,底栖猎物的多样性和丰度,以及几种饮食指标,总共可以提供17个潜在的解释变量。首先,使用基于Akaike信息准则的逐步方法来选择对食品资源分配有重大影响的解释变量。然后,使用选定的解释变量并以采样点为随机因素构建线性混合效应模型。鲑鱼和黑头鱼之间的食物资源分配随着猎物多样性的增加而显着增加,并且该模型最好地描述了食物资源分配的变化,该模型将猎物多样性作为唯一的解释变量。这项研究为猎物多样性是竞争物种间资源分配的关键驱动因素这一观点提供了经验支持。

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