Sexual selection predicts species richness across the animal kingdom
نویسندگان
چکیده
منابع مشابه
Amphibian species richness across environmental gradients
Large-scale field patterns are a fundamental source of inferences on processes responsible for variation in species richness among habitats. We examined species richness of larval amphibian communities in 37 ponds over seven years on the Univ. of Michigan’s E. S. George Reserve. Ordination of the community incidence matrix indicated a strong major axis of variation in species associations that ...
متن کاملWhat determines species richness of parasitic organisms? A meta-analysis across animal, plant and fungal hosts.
Although a small set of external factors account for much of the spatial variation in plant and animal diversity, the search continues for general drivers of variation in parasite species richness among host species. Qualitative reviews of existing evidence suggest idiosyncrasies and inconsistent predictive power for all proposed determinants of parasite richness. Here, we provide the first qua...
متن کاملKin selection, species richness and community.
Can evolutionary and ecological dynamics operating at one level of the biological hierarchy affect the dynamics and structure at other levels? In social insects, strong hostility towards unrelated individuals can evolve as a kin-selected counter-adaptation to intraspecific social parasitism. This aggression in turn might cause intraspecific competition to predominate over interspecific competit...
متن کاملDarwinian sex roles confirmed across the animal kingdom.
Since Darwin's conception of sexual selection theory, scientists have struggled to identify the evolutionary forces underlying the pervasive differences between male and female behavior, morphology, and physiology. The Darwin-Bateman paradigm predicts that anisogamy imposes stronger sexual selection on males, which, in turn, drives the evolution of conventional sex roles in terms of female-bias...
متن کاملCollective behaviour across animal species
We posit a new geometric perspective to define, detect, and classify inherent patterns of collective behaviour across a variety of animal species. We show that machine learning techniques, and specifically the isometric mapping algorithm, allow the identification and interpretation of different types of collective behaviour in five social animal species. These results offer a first glimpse at t...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Proceedings of the Royal Society B: Biological Sciences
سال: 2018
ISSN: 0962-8452,1471-2954
DOI: 10.1098/rspb.2018.0173