No apparent trade-off between the quality of nest-grown feathers and time spent in the nest in an aerial insectivore, the Tree Swallow

Abstract

Life history theory provides a framework for understanding how trade-offs generate negative trait associations. Among nestling birds, time spent in the nest, risk of predation, and lifespan covary, but some associations are only found within species while others are only observed between species. A recent comparative study suggests that allocation trade-offs may be alleviated by disinvestment in ephemeral traits, such as nest-grown feathers, that are quickly replaced. However, direct resource allocation trade-offs cannot be inferred from interspecific trait associations without complementary intraspecific studies. Here, we asked whether there is evidence for a within-species allocation trade-off between feather quality and time spent in the nest in Tree Swallows (Tachycineta bicolor). Consistent with the idea that ephemeral traits are deprioritized, nest-grown feathers had lower barb density than adult feathers. However, despite substantial variation in fledging age among nestlings, there was no evidence for a negative association between time in the nest and feather quality. Furthermore, accounting for differences in resource availability by considering provisioning rate and a nest predation treatment did not reveal a trade-off that was masked by variation in resources. Our results are most consistent with the idea that the interspecific association between development and feather quality arises from adaptive specialization, rather than from a direct allocation trade-off.

Document Details

Document Type
Pub Defense Publication
Publication Date
Apr 05, 2022
Source ID
10.1093/ornithology/ukac017

Entities

People

  • Allison T Anker
  • Alyssa M Rodriguez
  • Brianna A Johnson
  • Conor C Taff
  • Jennifer J Uehling
  • Jennifer L Houtz
  • Maren N. Vitousek

Organizations

  • Cornell Lab of Ornithology
  • Cornell University
  • Defense Advanced Research Projects Agency
  • Division of Integrative Organismal Systems
  • National Science Foundation

Tags

Fields of Study

  • Environmental science

Readers

  • Aerospace Engineering
  • Aquatic Ecology
  • Economics

Technology Areas

  • AI & ML
  • AI & ML - Machine Learning Algorithms
  • AI & ML - Neural Networks