4.8 Review

Individual differences in behaviour explain variation in survival: a meta-analysis

期刊

ECOLOGY LETTERS
卷 23, 期 2, 页码 399-408

出版社

WILEY
DOI: 10.1111/ele.13438

关键词

Among-individual variation; animal personality; bivariate model; fitness; longevity; repeatability; selection; systematic review

类别

资金

  1. Marie Skodowska-Curie Individual Fellowship (PLASTIC TERN) [793550]
  2. DFG (Deutsche Forschungsgemeinschaft) [NI 1539/2-1]
  3. Marie Curie Actions (MSCA) [793550] Funding Source: Marie Curie Actions (MSCA)

向作者/读者索取更多资源

Research focusing on among-individual differences in behaviour ('animal personality') has been blooming for over a decade. Central theories explaining the maintenance of such behavioural variation posits that individuals expressing greater risky behaviours should suffer higher mortality. Here, for the first time, we synthesize the existing empirical evidence for this key prediction. Our results did not support this prediction as there was no directional relationship between riskier behaviour and greater mortality; however there was a significant absolute relationship between behaviour and survival. In total, behaviour explained a significant, but small, portion (5.8%) of the variance in survival. We also found that risky (vs. shy) behavioural types live significantly longer in the wild, but not in the laboratory. This suggests that individuals expressing risky behaviours might be of overall higher quality but the lack of predation pressure and resource restrictions mask this effect in laboratory environments. Our work demonstrates that individual differences in behaviour explain important differences in survival but not in the direction predicted by theory. Importantly, this suggests that models predicting behaviour to be a mediator of reproduction-survival trade-offs may need revision and/or empiricists may need to reconsider their proxies of risky behaviours when testing such theory.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.8
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据