Impacts of spring environmental conditions on energetic demand in an Arctic-breeding seabird

Life-history investment theory predicts that some individuals may be better at using physiological and behavioural mechanisms to meet the energetic demands imposed by environmental challenges to maximize breeding success. However, field-testing these seemingly straightforward predictions is complicated by the extreme challenge of quantifying environmentally induced flexibility in mechanisms before breeding investment. Nonetheless, these questions are especially vital to answer in places such as the Arctic, which is experiencing climate change rates 3-4 times the global average. Here we use a 16-year dataset from Canada’s largest colony of Arctic-breeding common eiders (Somateria mollissima), located at East Bay Island, Nunavut, to field-test these investment decision predictions. Specifically, from 2006-2023 (missing 2020-21 due to COVID-19), we captured almost 3000 pre-laying females following their arrival on the breeding grounds and collected physiological data on energetic demand (baseline corticosterone) and fattening rates (plasma triglycerides). We then followed individuals to assess two key reproductive decisions known to impact breeding success: whether birds invested in reproduction, and if so, when they initiated laying. Our goal is to use this dataset to examine whether individuals with certain physiological phenotypes can better overcome spring environment challenges (i.e., low ambient temperatures) to not only invest in breeding in a given year, but lay as early as possible to maximize lifetime breeding success in these highly seasonal environments. Filling in these challenging life history gaps is vital for predicting whether individuals and the populations they make up can persist and succeed in the face of rapidly increasing change in the north.

Publication Details

Journal
Scholarship at UWindsor (University of Windsor)
Published
2025-03-26
Primary Topic
Precipitation Measurement and Analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Impacts of spring environmental conditions on energetic demand in an Arctic-breeding seabird

Scholarship at UWindsor (University of Windsor)
Precipitation Measurement and Analysis
article

Impacts of spring environmental conditions on energetic demand in an Arctic-breeding seabird

article en

Abstract

Life-history investment theory predicts that some individuals may be better at using physiological and behavioural mechanisms to meet the energetic demands imposed by environmental challenges to maximize breeding success. However, field-testing these seemingly straightforward predictions is complicated by the extreme challenge of quantifying environmentally induced flexibility in mechanisms before breeding investment. Nonetheless, these questions are especially vital to answer in places such as the Arctic, which is experiencing climate change rates 3-4 times the global average. Here we use a 16-year dataset from Canada’s largest colony of Arctic-breeding common eiders (Somateria mollissima), located at East Bay Island, Nunavut, to field-test these investment decision predictions. Specifically, from 2006-2023 (missing 2020-21 due to COVID-19), we captured almost 3000 pre-laying females following their arrival on the breeding grounds and collected physiological data on energetic demand (baseline corticosterone) and fattening rates (plasma triglycerides). We then followed individuals to assess two key reproductive decisions known to impact breeding success: whether birds invested in reproduction, and if so, when they initiated laying. Our goal is to use this dataset to examine whether individuals with certain physiological phenotypes can better overcome spring environment challenges (i.e., low ambient temperatures) to not only invest in breeding in a given year, but lay as early as possible to maximize lifetime breeding success in these highly seasonal environments. Filling in these challenging life history gaps is vital for predicting whether individuals and the populations they make up can persist and succeed in the face of rapidly increasing change in the north.

Scholarship at UWindsor (University of Windsor)
Openalex Percentile: Top 42%
Precipitation Measurement and Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Impacts of spring environmental conditions on energetic demand in an Arctic-breeding seabird · Scholarship at UWindsor (University of Windsor) (2025) | TGRS Research Map | TGRS