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Ecological niche partitioning in two Pacific puffins

A. Shoji,S. Whelan,J. Cunningham,S. Hatch,Y. Niizuma,C. Nakajima,K. Elliott

Published 2023 in Marine Ecology Progress Series

ABSTRACT

: Ecological theory predicts that closely related species can coexist if they segregate in space, time, or diet to reduce competitive overlap when resources are limited. These differences in ecological niche are presumably driven by concomitant differences in morphology. The link be - tween form and functional segregation may only occur at 1 period of the year, and while examining behavioural differences among closely related species across the whole annual cycle can answer this question, it is rarely tested. Here, we investigated niche partitioning between sister species within the puffin clade: tufted puffins Fratercula cirrhata with high wing loading and rhino ceros auklets Cerorhinca monocerata with low wing loading, breeding in sympatry on Middle ton Island, Alaska. We collected data for horizontal movement, dive depth, and trophic ecology. Tufted puffins dived deeper, foraged closer to the colony during breeding, and migrated shorter distances relative to rhinoceros auklets. Examination of allometric patterns further revealed that puffins exceeded the predicted dive duration limit with exceptionally long dives. However, isotopic niches of the 2 species were very similar. Rhinoceros auklet breeding phenology was about 3 wk earlier than tufted puffin phenology, and breeding success during the study period was always higher for auklets than puffins. We conclude that the 2 species of sympatric puffin partitioned both in space and time throughout the annual cycle, illustrating how such partitioning can facilitate the coexistence of seabirds sharing apparently similar space.

PUBLICATION RECORD

  • Publication year

    2023

  • Venue

    Marine Ecology Progress Series

  • Publication date

    Unknown publication date

  • Fields of study

    Not labeled

  • Identifiers
    DOI 10.3354/meps14282
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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