Seabird Trophic Position Across Three Ocean Regions Tracks Ecosystem Differences
Online repository of data and script for: https://www.frontiersin.org/articles/10.3389/fmars.2018.00317/full. Abstract: We analyze recently collected feather tissues from two species of seabirds, the sooty tern (Onychoprion fuscatus) and brown noddy (Anous stolidus), in three ocean regions (North At...
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ftdatacite:10.17605/osf.io/4s9ty 2023-05-15T17:32:28+02:00 Seabird Trophic Position Across Three Ocean Regions Tracks Ecosystem Differences Gagne, Tyler 2021 https://dx.doi.org/10.17605/osf.io/4s9ty https://osf.io/4s9ty/ unknown Open Science Framework fisheries food web machine learning marine ecology trophic ecology article-journal Project Text ScholarlyArticle 2021 ftdatacite https://doi.org/10.17605/osf.io/4s9ty 2022-02-08T16:09:43Z Online repository of data and script for: https://www.frontiersin.org/articles/10.3389/fmars.2018.00317/full. Abstract: We analyze recently collected feather tissues from two species of seabirds, the sooty tern (Onychoprion fuscatus) and brown noddy (Anous stolidus), in three ocean regions (North Atlantic, North Pacific, and South Pacific) with different human impacts. The species are similar morphologically and in the trophic levels from which they feed within each location. In contrast, we detect reliable differences in trophic position amongst the regions. Trophic position appears to decline as the intensity of commercial fishing increases, and is at its lowest in the Caribbean. The spatial gradient in trophic position we document in these regions exceeds those detected over specimens from the last 130 years in the Hawaiian Islands. Modeling suggests that climate velocity and human impacts on fish populations strongly align with these differences. Text North Atlantic DataCite Metadata Store (German National Library of Science and Technology) Pacific |
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DataCite Metadata Store (German National Library of Science and Technology) |
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topic |
fisheries food web machine learning marine ecology trophic ecology |
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fisheries food web machine learning marine ecology trophic ecology Gagne, Tyler Seabird Trophic Position Across Three Ocean Regions Tracks Ecosystem Differences |
topic_facet |
fisheries food web machine learning marine ecology trophic ecology |
description |
Online repository of data and script for: https://www.frontiersin.org/articles/10.3389/fmars.2018.00317/full. Abstract: We analyze recently collected feather tissues from two species of seabirds, the sooty tern (Onychoprion fuscatus) and brown noddy (Anous stolidus), in three ocean regions (North Atlantic, North Pacific, and South Pacific) with different human impacts. The species are similar morphologically and in the trophic levels from which they feed within each location. In contrast, we detect reliable differences in trophic position amongst the regions. Trophic position appears to decline as the intensity of commercial fishing increases, and is at its lowest in the Caribbean. The spatial gradient in trophic position we document in these regions exceeds those detected over specimens from the last 130 years in the Hawaiian Islands. Modeling suggests that climate velocity and human impacts on fish populations strongly align with these differences. |
format |
Text |
author |
Gagne, Tyler |
author_facet |
Gagne, Tyler |
author_sort |
Gagne, Tyler |
title |
Seabird Trophic Position Across Three Ocean Regions Tracks Ecosystem Differences |
title_short |
Seabird Trophic Position Across Three Ocean Regions Tracks Ecosystem Differences |
title_full |
Seabird Trophic Position Across Three Ocean Regions Tracks Ecosystem Differences |
title_fullStr |
Seabird Trophic Position Across Three Ocean Regions Tracks Ecosystem Differences |
title_full_unstemmed |
Seabird Trophic Position Across Three Ocean Regions Tracks Ecosystem Differences |
title_sort |
seabird trophic position across three ocean regions tracks ecosystem differences |
publisher |
Open Science Framework |
publishDate |
2021 |
url |
https://dx.doi.org/10.17605/osf.io/4s9ty https://osf.io/4s9ty/ |
geographic |
Pacific |
geographic_facet |
Pacific |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_doi |
https://doi.org/10.17605/osf.io/4s9ty |
_version_ |
1766130627775561728 |