4.2 Article

Phylogeny is a stronger predictor of activity than allometry in an African mammal community

期刊

BIOLOGICAL JOURNAL OF THE LINNEAN SOCIETY
卷 135, 期 3, 页码 599-609

出版社

OXFORD UNIV PRESS
DOI: 10.1093/biolinnean/blab162

关键词

activity level; body mass; coexistence; mammals; phylogeny; temporal niche partitioning

资金

  1. Japan International Corporation Agency through Air Water and Earth Engineers, Uganda
  2. WWF Education for Nature Fellowship
  3. Wildlife Conservation Network scholarship
  4. Graduate School at Michigan State University

向作者/读者索取更多资源

By studying a community of 22 sympatric mammal species in Murchison Falls National Park, Uganda, we found that phylogeny is a stronger predictor of species activity levels than body mass. Our findings provide empirical evidence for the phylogenetic structuring of mammal activity in diverse communities, and suggest the importance of evolutionary relationships in predicting species traits in diverse animal communities.
In promoting coexistence, sympatric species often partition shared resources along spatio-temporal domains. Similarly sized and phylogenetically close species, for instance, partition the times of day in which they are active to limit interference competition. Given that variation in species body mass has evolutionary underpinnings, species activity levels (time spent active in a 24-h daily cycle) within animal communities might be structured by phylogeny. However, few studies have tested this hypothesis across animal communities, and none among medium-sized to large mammals. We quantified the relative contributions of phylogeny and body mass in predicting activity levels in a community of 22 sympatric mammal species in Murchison Falls National Park, Uganda. We show that phylogeny is a stronger predictor of species activity levels than body mass. Our findings provide empirical evidence for the phylogenetic structuring of mammal activity in diverse communities. More broadly, our results suggest that evolutionary relationships mask allometry in predicting species traits in diverse animal communities.

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

4.2
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