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Volume 51, No. 1

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Laying sequence and oceanographic factors affect egg size in Scripps's Murrelets Synthliboramphus scrippsi at Santa Barbara Island


Authors

MARCELA I. TODD ZARAGOZA1, AMELIA J. DuVALL2, JIM A. HOWARD3, DAVID M. MAZURKIEWICZ4 & SARAH J. CONVERSE5
1School of Environmental and Forest Sciences, University of Washington 98195, Seattle, Washington, USA (marcelat99@outlook.com)
2Washington Cooperative Fish and Wildlife Research Unit, School of Aquatic and Fishery Sciences, University of Washington, Seattle, Washington 98195, USA
3California Institute of Environmental Studies, Davis, California 95617, USA
4Channel Islands National Park, Ventura, California 93001, USA
5U.S. Geological Survey, Washington Cooperative Fish and Wildlife Research Unit, School of Environmental and Forest Sciences & School of Aquatic and Fishery Sciences, University of Washington, Seattle, Washington 98195, USA

Citation

TODD ZARAGOZA, M.I., DuVALL, A.J., HOWARD, J.A., MAZURKIEWICZ, D.M. & CONVERSE, S.J. 2023. Laying sequence and oceanographic factors affect egg size in Scripps's Murrelets Synthliboramphus scrippsi at Santa Barbara Island. Marine Ornithology 51: 1 - 9
http://doi.org/10.5038/2074-1235.51.1.1503

Received 30 December 2021, accepted 01 September 2022

Date Published: 2023/04/15
Date Online: 2023/04/10
Key words: Alcidae, egg size, laying sequence, index, ocean productivity, monitoring

Abstract

Egg size is an important avian life history parameter, with larger eggs indicating greater investment of resources in the chick. Prey availability can affect such investment. We investigated the effects of oceanographic conditions and laying sequence on Scripps's Murrelet Synthliboramphus scrippsi egg size at Santa Barbara Island, California during 2009-2017. We evaluated oceanographic covariates characterizing marine productivity for their effect on egg size, including large-scale oceanographic indices such as the Pacific Decadal Oscillation (PDO) index, Oceanic Niño Index (ONI), and North Pacific Gyre Oscillation (NPGO) index. We also evaluated a larval anchovy catch-per-unit-effort (ANCHL) index and the Biologically Effective Upwelling Transport Index (BEUTI) as region-wide indices, and sea surface temperature (SST) as a local index. We evaluated oceanographic conditions over the entire year and during the breeding season only. We also considered the contribution of lagged effects to oceanographic conditions. Our results generally ran counter to our hypothesis that increased ocean productivity should increase egg size. Based on Akaike's Information Criterion, the four top-ranked models provided support for an association between larger eggs and conditions indicative of lower oceanographic productivity, including lower values of BEUTI and NPGO, and higher values of ONI, PDO, and SST. The only result that supported our hypothesis was a positive relationship between ANCHL and egg size, although the 95% confidence interval for the effect included 0. The strongest relationship detected was between laying sequence and egg size, as second eggs were considerably larger than first eggs. Our results indicate substantial complexity in the relationship between ocean productivity and seabird demography. A better understanding of how ocean productivity affects seabird breeding outcomes through multiple mechanisms will help improve predictions of how seabirds will respond to changing ocean conditions.

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