Abstract
Individuals often interact more closely with some members of the population (e.g., offspring, siblings, or group members) than they do with other individuals. This structuring of interactions can lead to multilevel natural selection, where traits expressed at the group‐level influence fitness alongside individual‐level traits. Such multilevel selection can alter evolutionary trajectories, yet is rarely quantified in the wild, especially for species that do not interact in clearly demarcated groups. We quantified multilevel natural selection on two traits, postnatal growth rate and birth date, in a population of North American red squirrels (Tamiasciurus hudsonicus). The strongest level of selection was typically within‐acoustic social neighborhoods (within 130 m of the nest), where growing faster and being born earlier than nearby litters was key, while selection on growth rate was also apparent both within‐litters and within‐study areas. Higher population densities increased the strength of selection for earlier breeding, but did not influence selection on growth rates. Females experienced especially strong selection on growth rate at the within‐litter level, possibly linked to the biased bequeathal of the maternal territory to daughters. Our results demonstrate the importance of considering multilevel and sex‐specific selection in wild species, including those that are territorial and sexually monomorphic.
Original language | English |
---|---|
Pages (from-to) | 1841-1854 |
Number of pages | 14 |
Journal | Evolution |
Volume | 71 |
Issue number | 7 |
Early online date | 8 Jun 2017 |
DOIs | |
Publication status | Published - Jul 2017 |
Keywords
- KRSP
- multilevel selection
- natural selection
- North American red squirrel
- selection coefficient
- spatial scale
- ami-asciurus hudsonicus
Fingerprint
Dive into the research topics of 'Multilevel and sex‐specific selection on competitive traits in North American red squirrels'. Together they form a unique fingerprint.Profiles
-
David Fisher
- Biological Sciences, Aberdeen Centre For Environmental Sustainability - Research Fellow
Person: Academic Related - Research