Predicting sediment organic carbon and related food web types from a physical oceanographic model on a subarctic shelf--sediment data and Pan-Arctic ROMS (PARMOS) variables for stations south of St Lawrence Island and in Chirikov Basin, 1999-2010
In changing environments, conservation planning for bottom-feeding marine predators requires estimating the present and future spatial patterns of benthic communities. In the northern Bering Sea, we used the Regional Ocean Modeling System (ROMS) to hindcast near-bottom flows that redistribute settle...
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Arctic Data Center
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Online Access: | https://dx.doi.org/10.18739/a2d50fx7g https://arcticdata.io/catalog/view/doi:10.18739/A2D50FX7G |
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ftdatacite:10.18739/a2d50fx7g 2023-05-15T15:16:48+02:00 Predicting sediment organic carbon and related food web types from a physical oceanographic model on a subarctic shelf--sediment data and Pan-Arctic ROMS (PARMOS) variables for stations south of St Lawrence Island and in Chirikov Basin, 1999-2010 Lovvorn, James Rocha, Aariel 2019 text/xml https://dx.doi.org/10.18739/a2d50fx7g https://arcticdata.io/catalog/view/doi:10.18739/A2D50FX7G en eng Arctic Data Center Benthic food webs Hydrographic models PAROMS Habitat delineation Marine spatial planning dataset Dataset 2019 ftdatacite https://doi.org/10.18739/a2d50fx7g 2021-11-05T12:55:41Z In changing environments, conservation planning for bottom-feeding marine predators requires estimating the present and future spatial patterns of benthic communities. In the northern Bering Sea, we used the Regional Ocean Modeling System (ROMS) to hindcast near-bottom flows that redistribute settled phytodetritus and organic sediments, which in turn strongly affect the dispersion of three food web types that differentially favor spectacled eiders Somateria fischeri, walruses Odobenus rosmarus, or gray whales Eschrichtius robustus. Using data collected between 1994 and 2010, we interpolated spatial patterns of sediment organic carbon from field samples and correlated them with water depths and modeled flow velocities, temperatures, and salinities. In the deeper (mean 63 meters) southern study area with weak net flows, hindcast near-bottom currents had negligible effects on patterns of sediment longer-term organic carbon (LTOC); instead, regional depth gradients and local bathymetry were the best predictors (r2 = 0.72–0.85 among 7 years). In that area, climatic variations in total primary production would affect the areal extent of different LTOC levels, but not the core locations of persistent patches defined by depth. In the shallower (mean 39 meters) northern study area with much faster flows, seafloor depth had negligible effects and patterns of LTOC depended mainly on currents (r2 = 0.48–0.55 over 2 years) that are subject to climatic changes in winds. Based on ranges of LTOC for different food web types, substantial portions of both areas must be conserved to ensure annual availability of all three types. Regional ocean circulation models driven by downscaled climate models provide important opportunities for projecting spatial patterns of key benthic habitats in this region. Dataset Arctic Bering Sea Odobenus rosmarus St Lawrence Island Subarctic walrus* DataCite Metadata Store (German National Library of Science and Technology) Arctic Bering Sea Lawrence Island ENVELOPE(-103.718,-103.718,56.967,56.967) |
institution |
Open Polar |
collection |
DataCite Metadata Store (German National Library of Science and Technology) |
op_collection_id |
ftdatacite |
language |
English |
topic |
Benthic food webs Hydrographic models PAROMS Habitat delineation Marine spatial planning |
spellingShingle |
Benthic food webs Hydrographic models PAROMS Habitat delineation Marine spatial planning Lovvorn, James Rocha, Aariel Predicting sediment organic carbon and related food web types from a physical oceanographic model on a subarctic shelf--sediment data and Pan-Arctic ROMS (PARMOS) variables for stations south of St Lawrence Island and in Chirikov Basin, 1999-2010 |
topic_facet |
Benthic food webs Hydrographic models PAROMS Habitat delineation Marine spatial planning |
description |
In changing environments, conservation planning for bottom-feeding marine predators requires estimating the present and future spatial patterns of benthic communities. In the northern Bering Sea, we used the Regional Ocean Modeling System (ROMS) to hindcast near-bottom flows that redistribute settled phytodetritus and organic sediments, which in turn strongly affect the dispersion of three food web types that differentially favor spectacled eiders Somateria fischeri, walruses Odobenus rosmarus, or gray whales Eschrichtius robustus. Using data collected between 1994 and 2010, we interpolated spatial patterns of sediment organic carbon from field samples and correlated them with water depths and modeled flow velocities, temperatures, and salinities. In the deeper (mean 63 meters) southern study area with weak net flows, hindcast near-bottom currents had negligible effects on patterns of sediment longer-term organic carbon (LTOC); instead, regional depth gradients and local bathymetry were the best predictors (r2 = 0.72–0.85 among 7 years). In that area, climatic variations in total primary production would affect the areal extent of different LTOC levels, but not the core locations of persistent patches defined by depth. In the shallower (mean 39 meters) northern study area with much faster flows, seafloor depth had negligible effects and patterns of LTOC depended mainly on currents (r2 = 0.48–0.55 over 2 years) that are subject to climatic changes in winds. Based on ranges of LTOC for different food web types, substantial portions of both areas must be conserved to ensure annual availability of all three types. Regional ocean circulation models driven by downscaled climate models provide important opportunities for projecting spatial patterns of key benthic habitats in this region. |
format |
Dataset |
author |
Lovvorn, James Rocha, Aariel |
author_facet |
Lovvorn, James Rocha, Aariel |
author_sort |
Lovvorn, James |
title |
Predicting sediment organic carbon and related food web types from a physical oceanographic model on a subarctic shelf--sediment data and Pan-Arctic ROMS (PARMOS) variables for stations south of St Lawrence Island and in Chirikov Basin, 1999-2010 |
title_short |
Predicting sediment organic carbon and related food web types from a physical oceanographic model on a subarctic shelf--sediment data and Pan-Arctic ROMS (PARMOS) variables for stations south of St Lawrence Island and in Chirikov Basin, 1999-2010 |
title_full |
Predicting sediment organic carbon and related food web types from a physical oceanographic model on a subarctic shelf--sediment data and Pan-Arctic ROMS (PARMOS) variables for stations south of St Lawrence Island and in Chirikov Basin, 1999-2010 |
title_fullStr |
Predicting sediment organic carbon and related food web types from a physical oceanographic model on a subarctic shelf--sediment data and Pan-Arctic ROMS (PARMOS) variables for stations south of St Lawrence Island and in Chirikov Basin, 1999-2010 |
title_full_unstemmed |
Predicting sediment organic carbon and related food web types from a physical oceanographic model on a subarctic shelf--sediment data and Pan-Arctic ROMS (PARMOS) variables for stations south of St Lawrence Island and in Chirikov Basin, 1999-2010 |
title_sort |
predicting sediment organic carbon and related food web types from a physical oceanographic model on a subarctic shelf--sediment data and pan-arctic roms (parmos) variables for stations south of st lawrence island and in chirikov basin, 1999-2010 |
publisher |
Arctic Data Center |
publishDate |
2019 |
url |
https://dx.doi.org/10.18739/a2d50fx7g https://arcticdata.io/catalog/view/doi:10.18739/A2D50FX7G |
long_lat |
ENVELOPE(-103.718,-103.718,56.967,56.967) |
geographic |
Arctic Bering Sea Lawrence Island |
geographic_facet |
Arctic Bering Sea Lawrence Island |
genre |
Arctic Bering Sea Odobenus rosmarus St Lawrence Island Subarctic walrus* |
genre_facet |
Arctic Bering Sea Odobenus rosmarus St Lawrence Island Subarctic walrus* |
op_doi |
https://doi.org/10.18739/a2d50fx7g |
_version_ |
1766347086423392256 |