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DOI | 10.1016/j.tree.2020.02.009 |
The Adaptive Value of Numerical Competence | |
Nieder, Andreas | |
2020-03-30 | |
发表期刊 | TRENDS IN ECOLOGY & EVOLUTION |
ISSN | 0169-5347 |
EISSN | 1872-8383 |
出版年 | 2020 |
卷号 | 35期号:7页码:605-617 |
文章类型 | Review |
语种 | 英语 |
国家 | Germany |
英文摘要 | Evolution selects for traits that are of adaptive value and increase the fitness of an individual or population. Numerical competence, the ability to estimate and process the number of objects and events, is a cognitive capacity that also influences an individual's survival and reproduction success. Numerical assessments are ubiquitous in a broad range of ecological contexts. Animals benefit from numerical competence during foraging, navigating, hunting, predation avoidance, social interactions, and reproductive activities. The internal number representations determine how animals perceive stimulus magnitude, which, in turn, constrains an animal's spontaneous decisions. These findings are placed in a framework to provide for a more quantitative analysis of the adaptive value and selection pressures of numerical competence. |
领域 | 资源环境 |
收录类别 | SCI-E ; SSCI |
WOS记录号 | WOS:000540372400008 |
WOS关键词 | RELATIVE QUANTITY JUDGMENTS ; DECISION-MAKING ; GROUP-SIZE ; ALARM CALLS ; SPONTANEOUS DISCRIMINATION ; LARGE NUMEROSITIES ; PRIMATE PARIETAL ; LARGE NUMBERS ; FOOD ; BEHAVIOR |
WOS类目 | Ecology ; Evolutionary Biology ; Genetics & Heredity |
WOS研究方向 | Environmental Sciences & Ecology ; Evolutionary Biology ; Genetics & Heredity |
URL | 查看原文 |
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文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/249867 |
专题 | 资源环境科学 |
作者单位 | Univ Tubingen, Anim Physiol Unit, Inst Neurobiol, Morgenstelle 28, D-72076 Tubingen, Germany |
推荐引用方式 GB/T 7714 | Nieder, Andreas. The Adaptive Value of Numerical Competence[J]. TRENDS IN ECOLOGY & EVOLUTION,2020,35(7):605-617. |
APA | Nieder, Andreas.(2020).The Adaptive Value of Numerical Competence.TRENDS IN ECOLOGY & EVOLUTION,35(7),605-617. |
MLA | Nieder, Andreas."The Adaptive Value of Numerical Competence".TRENDS IN ECOLOGY & EVOLUTION 35.7(2020):605-617. |
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