Predicting sediment organic carbon and related food web types from a physical oceanographic model on a subarctic shelf- South of St. Lawrence Island, 2006-2007

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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Bibliographic Details
Main Authors: Lovvorn, James, Rocha, Aariel
Format: Dataset
Language:English
Published: Arctic Data Center 2019
Subjects:
Online Access:https://dx.doi.org/10.18739/a2np1wj65
https://arcticdata.io/catalog/view/doi:10.18739/A2NP1WJ65
id ftdatacite:10.18739/a2np1wj65
record_format openpolar
spelling ftdatacite:10.18739/a2np1wj65 2023-05-15T15:43:57+02:00 Predicting sediment organic carbon and related food web types from a physical oceanographic model on a subarctic shelf- South of St. Lawrence Island, 2006-2007 Lovvorn, James Rocha, Aariel 2019 text/xml https://dx.doi.org/10.18739/a2np1wj65 https://arcticdata.io/catalog/view/doi:10.18739/A2NP1WJ65 en eng Arctic Data Center Benthic food webs Hydrographic models Habitat delineation Marine spatial planning Organic Carbon dataset Dataset 2019 ftdatacite https://doi.org/10.18739/a2np1wj65 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 Bering Sea Odobenus rosmarus St Lawrence Island Subarctic walrus* DataCite Metadata Store (German National Library of Science and Technology) 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
Habitat delineation
Marine spatial planning
Organic Carbon
spellingShingle Benthic food webs
Hydrographic models
Habitat delineation
Marine spatial planning
Organic Carbon
Lovvorn, James
Rocha, Aariel
Predicting sediment organic carbon and related food web types from a physical oceanographic model on a subarctic shelf- South of St. Lawrence Island, 2006-2007
topic_facet Benthic food webs
Hydrographic models
Habitat delineation
Marine spatial planning
Organic Carbon
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- South of St. Lawrence Island, 2006-2007
title_short Predicting sediment organic carbon and related food web types from a physical oceanographic model on a subarctic shelf- South of St. Lawrence Island, 2006-2007
title_full Predicting sediment organic carbon and related food web types from a physical oceanographic model on a subarctic shelf- South of St. Lawrence Island, 2006-2007
title_fullStr Predicting sediment organic carbon and related food web types from a physical oceanographic model on a subarctic shelf- South of St. Lawrence Island, 2006-2007
title_full_unstemmed Predicting sediment organic carbon and related food web types from a physical oceanographic model on a subarctic shelf- South of St. Lawrence Island, 2006-2007
title_sort predicting sediment organic carbon and related food web types from a physical oceanographic model on a subarctic shelf- south of st. lawrence island, 2006-2007
publisher Arctic Data Center
publishDate 2019
url https://dx.doi.org/10.18739/a2np1wj65
https://arcticdata.io/catalog/view/doi:10.18739/A2NP1WJ65
long_lat ENVELOPE(-103.718,-103.718,56.967,56.967)
geographic Bering Sea
Lawrence Island
geographic_facet Bering Sea
Lawrence Island
genre Bering Sea
Odobenus rosmarus
St Lawrence Island
Subarctic
walrus*
genre_facet Bering Sea
Odobenus rosmarus
St Lawrence Island
Subarctic
walrus*
op_doi https://doi.org/10.18739/a2np1wj65
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