Blending census and paleolimnological data allows for tracking the establishment and growth of a major gannet colony over several centuries

Seabird colonies with long-term monitoring records, i.e., > 50 years, are rare. The population data for northern gannets (Morus bassanus) in Cape St. Mary's (CSM) Ecological Reserve (Newfoundland and Labrador, Canada) is robust, extending back to 1883 when the colony was presumed established. We inferred the colony's historical population shifts by measuring ornithogenic proxies in a dated sediment record collected from a nearby pond. Our record extended to the early eighteenth century, but the proxy data only began to show significant signs of seabird presence between ca. 1832 and 1910, aligning with the period gannets were first observed at CSM. Through the twentieth century, we observed significant increases in δ<sup>15</sup>N, P, Zn, Cd, and chlorophyll a, coeval with a shift in the dominant diatom species, indicating rapid colony growth. The proxies were overall highest in ca. 2005, corresponding to the reported historical maximum of the gannet colony in 2009. Our results validate that paleo-reconstructions using ornithogenic proxies can accurately reflect population trends and provide a stronger understanding of the colony's establishment and growth. This study highlights the value of applying paleolimnological methods in seabird population studies to frame the history of a colony's dynamics and inform conservation efforts.

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Publication Details

Journal
Scientific Reports
Published
2024-09-03
DOI
https://doi.org/10.1038/s41598-024-69860-z
Citations
1
Primary Topic
Isotope Analysis in Ecology
Type
article
Field-Weighted Citation Impact
0.46

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article

Blending census and paleolimnological data allows for tracking the establishment and growth of a major gannet colony over several centuries

Neal Michelutti, Sabina I. Wilhelm, Kathryn E. Hargan, John P. Smol et al.
1 citations
Scientific Reports
Isotope Analysis in Ecology
0.46
article

Blending census and paleolimnological data allows for tracking the establishment and growth of a major gannet colony over several centuries

Neal Michelutti, Sabina I. Wilhelm, Kathryn E. Hargan, John P. Smol, William A. Montevecchi, Gregory J. Robertson, Andrew S. Lang, Inmaculada Álvarez-Manzaneda, Johanna-Lisa Bosch
article en
1 citations

Abstract

Seabird colonies with long-term monitoring records, i.e., > 50 years, are rare. The population data for northern gannets (Morus bassanus) in Cape St. Mary's (CSM) Ecological Reserve (Newfoundland and Labrador, Canada) is robust, extending back to 1883 when the colony was presumed established. We inferred the colony's historical population shifts by measuring ornithogenic proxies in a dated sediment record collected from a nearby pond. Our record extended to the early eighteenth century, but the proxy data only began to show significant signs of seabird presence between ca. 1832 and 1910, aligning with the period gannets were first observed at CSM. Through the twentieth century, we observed significant increases in δ<sup>15</sup>N, P, Zn, Cd, and chlorophyll a, coeval with a shift in the dominant diatom species, indicating rapid colony growth. The proxies were overall highest in ca. 2005, corresponding to the reported historical maximum of the gannet colony in 2009. Our results validate that paleo-reconstructions using ornithogenic proxies can accurately reflect population trends and provide a stronger understanding of the colony's establishment and growth. This study highlights the value of applying paleolimnological methods in seabird population studies to frame the history of a colony's dynamics and inform conservation efforts.

Scientific ReportsVol. 14(1)
Memorial University of Newfoundland (CA), Environment and Climate Change Canada (CA), Universidad de Granada (ES), Queen's University (CA)
European Commission, Memorial University of Newfoundland, Environment and Climate Change Canada, Horizon 2020 Framework Programme, Natural Sciences and Engineering Research Council of Canada
Openalex Percentile: Top 30%
Isotope Analysis in Ecology
0.46
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