Ecoregional Analysis of Nearshore Sea-Surface Temperature in the North Pacific

The quantification and description of sea surface temperature (SST) is critically important because it can influence the distribution, migration, and invasion of marine species; furthermore, SSTs are expected to be affected by climate change. To better understand present temperature regimes, we asse...

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Main Authors: Payne, Meredith C., Brown, Cheryl A., Reusser, Deborah A., Lee, Henry, II
Format: Article in Journal/Newspaper
Language:English
unknown
Published: Public Library of Science
Subjects:
Online Access:https://ir.library.oregonstate.edu/concern/articles/4x51hp72m
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spelling ftoregonstate:ir.library.oregonstate.edu:4x51hp72m 2024-09-09T19:49:26+00:00 Ecoregional Analysis of Nearshore Sea-Surface Temperature in the North Pacific Payne, Meredith C. Brown, Cheryl A. Reusser, Deborah A. Lee, Henry, II https://ir.library.oregonstate.edu/concern/articles/4x51hp72m English [eng] eng unknown Public Library of Science https://ir.library.oregonstate.edu/concern/articles/4x51hp72m CC0 1.0 Universal Article ftoregonstate 2024-07-22T18:06:04Z The quantification and description of sea surface temperature (SST) is critically important because it can influence the distribution, migration, and invasion of marine species; furthermore, SSTs are expected to be affected by climate change. To better understand present temperature regimes, we assembled a 29-year nearshore time series of mean monthly SSTs along the North Pacific coastline using remotely-sensed satellite data collected with the Advanced Very High Resolution Radiometer (AVHRR) instrument. We then used the dataset to describe nearshore (<20 km offshore) SST patterns of 16 North Pacific ecoregions delineated by the Marine Ecoregions of the World (MEOW) hierarchical schema. Annual mean temperature varied from 3.8°C along the Kamchatka ecoregion to 24.8°C in the Cortezian ecoregion. There are smaller annual ranges and less variability in SST in the Northeast Pacific relative to the Northwest Pacific. Within the 16 ecoregions, 31-94% of the variance in SST is explained by the annual cycle, with the annual cycle explaining the least variation in the Northern California ecoregion and the most variation in the Yellow Sea ecoregion. Clustering on mean monthly SSTs of each ecoregion showed a clear break between the ecoregions within the Warm and Cold Temperate provinces of the MEOW schema, though several of the ecoregions contained within the provinces did not show a significant difference in mean seasonal temperature patterns. Comparison of these temperature patterns shared some similarities and differences with previous biogeographic classifications and the Large Marine Ecosystems (LMEs). Finally, we provide a web link to the processed data for use by other researchers. Article in Journal/Newspaper Kamchatka ScholarsArchive@OSU (Oregon State University) Pacific
institution Open Polar
collection ScholarsArchive@OSU (Oregon State University)
op_collection_id ftoregonstate
language English
unknown
description The quantification and description of sea surface temperature (SST) is critically important because it can influence the distribution, migration, and invasion of marine species; furthermore, SSTs are expected to be affected by climate change. To better understand present temperature regimes, we assembled a 29-year nearshore time series of mean monthly SSTs along the North Pacific coastline using remotely-sensed satellite data collected with the Advanced Very High Resolution Radiometer (AVHRR) instrument. We then used the dataset to describe nearshore (<20 km offshore) SST patterns of 16 North Pacific ecoregions delineated by the Marine Ecoregions of the World (MEOW) hierarchical schema. Annual mean temperature varied from 3.8°C along the Kamchatka ecoregion to 24.8°C in the Cortezian ecoregion. There are smaller annual ranges and less variability in SST in the Northeast Pacific relative to the Northwest Pacific. Within the 16 ecoregions, 31-94% of the variance in SST is explained by the annual cycle, with the annual cycle explaining the least variation in the Northern California ecoregion and the most variation in the Yellow Sea ecoregion. Clustering on mean monthly SSTs of each ecoregion showed a clear break between the ecoregions within the Warm and Cold Temperate provinces of the MEOW schema, though several of the ecoregions contained within the provinces did not show a significant difference in mean seasonal temperature patterns. Comparison of these temperature patterns shared some similarities and differences with previous biogeographic classifications and the Large Marine Ecosystems (LMEs). Finally, we provide a web link to the processed data for use by other researchers.
format Article in Journal/Newspaper
author Payne, Meredith C.
Brown, Cheryl A.
Reusser, Deborah A.
Lee, Henry, II
spellingShingle Payne, Meredith C.
Brown, Cheryl A.
Reusser, Deborah A.
Lee, Henry, II
Ecoregional Analysis of Nearshore Sea-Surface Temperature in the North Pacific
author_facet Payne, Meredith C.
Brown, Cheryl A.
Reusser, Deborah A.
Lee, Henry, II
author_sort Payne, Meredith C.
title Ecoregional Analysis of Nearshore Sea-Surface Temperature in the North Pacific
title_short Ecoregional Analysis of Nearshore Sea-Surface Temperature in the North Pacific
title_full Ecoregional Analysis of Nearshore Sea-Surface Temperature in the North Pacific
title_fullStr Ecoregional Analysis of Nearshore Sea-Surface Temperature in the North Pacific
title_full_unstemmed Ecoregional Analysis of Nearshore Sea-Surface Temperature in the North Pacific
title_sort ecoregional analysis of nearshore sea-surface temperature in the north pacific
publisher Public Library of Science
url https://ir.library.oregonstate.edu/concern/articles/4x51hp72m
geographic Pacific
geographic_facet Pacific
genre Kamchatka
genre_facet Kamchatka
op_relation https://ir.library.oregonstate.edu/concern/articles/4x51hp72m
op_rights CC0 1.0 Universal
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