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六种常见的行为试验及其与自然湖泊中鲈鱼表现的相关性。

Six common behavioral trials and their relevance for perch performance in natural lakes.

机构信息

Department of Ecology and Environmental Science, Umeå University, Umeå, Sweden.

Department of Wildlife, Fish, and Environmental Studies, SLU, Umeå, Sweden.

出版信息

Sci Total Environ. 2020 Aug 25;732:139101. doi: 10.1016/j.scitotenv.2020.139101. Epub 2020 May 11.

Abstract

Behavioral traits measured in laboratory settings are commonly used when predicting ecological effects and evolutionary outcomes in natural systems. However, uncertainties regarding the relevance of simplified lab-based behavioral tests for complex natural environments have created doubts about the use of these tests within aquatic ecology and ecotoxicology. In this study, we scrutinize the assumption that fish performance in six commonly applied behavioral assays has relevance for in situ behavior, by comparing individual behavior tracked in both artificial laboratory settings as well as in two natural lakes. We show that: i) commonly measured behavioral traits of individual fish (Perca fluviatilis) have low predictive power for within-lake behaviors if interpreted alone, but that; ii) composite variables synthesized from several (six) behavioral assays explain important in situ measures such as swimming activity, dispersion, home-range size, and habitat preference. While our findings support recent criticisms against the use of single behavioral tests for predicting environmental effects, we provide empirical evidences suggesting that fish performances in multiple laboratory assays are highly relevant for fish behavior in nature.

摘要

当预测自然系统中的生态效应和进化结果时,通常在实验室环境中测量行为特征。然而,简化基于实验室的行为测试与复杂自然环境的相关性存在不确定性,这使得人们对水生生态学和生态毒理学中这些测试的使用产生了怀疑。在这项研究中,我们通过比较在人工实验室环境和两个天然湖泊中跟踪的个体行为,仔细审查了在六种常用行为测定中表现良好的鱼类在现场行为中具有相关性的假设。我们表明:i)如果单独解释,个体鱼类(河鲈)的常见行为特征对湖泊内行为的预测能力较低,但 ii)由六个行为测定综合而成的组合变量可解释游泳活动、分散度、栖息地大小和栖息地偏好等重要的原位测量。虽然我们的研究结果支持了最近对使用单一行为测试预测环境影响的批评,但我们提供了实证证据,表明鱼类在多个实验室测试中的表现与鱼类在自然界中的行为高度相关。

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