Pendergraft LomaJohn T, Lehnert Adrienne L, Marzluff John M
University of Washington, School of Environmental and Forest Sciences.
University of Washington, Department of Radiology.
Ethology. 2020 Feb;126(2):229-245. doi: 10.1111/eth.12980. Epub 2019 Dec 30.
Crows and other birds in the family Corvidae regularly share information to learn the identity and whereabouts of dangerous predators, but can they use social learning to solve a novel task for a food reward? Here we examined the factors affecting the ability of 27 wild-caught American crows to solve a common string-pulling task in a laboratory setting. We split crows into two groups; one group was given the task after repeatedly observing a conspecific model the solution, the other solved in the absence of conspecific models. We recorded the crows' estimated age, sex, size, body condition, level of nervousness, and brain volume using DICOM images from a CT scan. Although none of these variables were statistically significant, crows without a conspecific model and large brain volumes consistently mastered the task in the minimum number of days, whereas those with conspecific models and smaller brain volumes required varying and sometimes a substantial number of days to master the task. We found indirect evidence that body condition might also be important for motivating crows to solve the task. Crows with conspecific models were no more likely to initially solve the task than those working the puzzle without social information, but those that mastered the task usually copied the method most frequently demonstrated by their knowledgeable neighbors. These findings suggest that brain volume and possibly body condition may be factors in learning new tasks, and that crows can use social learning to refine their ability to obtain a novel food source, although they must initially learn to access it themselves.
乌鸦和鸦科的其他鸟类经常会分享信息,以了解危险捕食者的身份和行踪,但它们能否利用社会学习来解决一项获取食物奖励的新任务呢?在这里,我们研究了影响27只野生捕获的美洲乌鸦在实验室环境中解决常见拉绳任务能力的因素。我们将乌鸦分成两组;一组在反复观察同种模型解决问题后被给予任务,另一组在没有同种模型的情况下解决问题。我们使用CT扫描的DICOM图像记录了乌鸦的估计年龄、性别、体型、身体状况、紧张程度和脑容量。尽管这些变量均无统计学意义,但没有同种模型且脑容量大的乌鸦始终能在最少天数内掌握任务,而有同种模型且脑容量小的乌鸦则需要不同且有时是大量天数才能掌握任务。我们发现间接证据表明身体状况可能对激励乌鸦解决任务也很重要。有同种模型的乌鸦最初解决任务的可能性并不比那些没有社会信息独自解谜的乌鸦更高,但那些掌握任务的乌鸦通常会模仿知识渊博的邻居最常展示的方法。这些发现表明,脑容量以及可能的身体状况可能是学习新任务的因素,并且乌鸦可以利用社会学习来提升它们获取新食物来源的能力,尽管它们最初必须自己学会获取。