Predicting sediment organic carbon and related food web types from a physical oceanographic model on a subarctic shelf- Chirikov region, 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...

Full description

Bibliographic Details
Main Authors: James Lovvorn, Aariel Rocha
Format: Dataset
Language:unknown
Published: Arctic Data Center 2019
Subjects:
Online Access:https://doi.org/10.18739/A2HX15R1X
id dataone:doi:10.18739/A2HX15R1X
record_format openpolar
spelling dataone:doi:10.18739/A2HX15R1X 2024-06-03T18:46:46+00:00 Predicting sediment organic carbon and related food web types from a physical oceanographic model on a subarctic shelf- Chirikov region, 2006-2007 James Lovvorn Aariel Rocha Chirikov basin, northern Bering Sea ENVELOPE(-171.62396,-167.18951,65.66096,63.96615) BEGINDATE: 2006-05-20T00:00:00Z ENDDATE: 2007-05-03T00:00:00Z 2019-11-03T00:00:00Z https://doi.org/10.18739/A2HX15R1X unknown Arctic Data Center Benthic food webs Hydrographic models Habitat delineation Marine spatial planning Organic Carbon Dataset 2019 dataone:urn:node:ARCTIC https://doi.org/10.18739/A2HX15R1X 2024-06-03T18:16:05Z 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 (r 2 = 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 (r 2 = 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 Subarctic walrus* Arctic Data Center (via DataONE) Bering Sea ENVELOPE(-171.62396,-167.18951,65.66096,63.96615)
institution Open Polar
collection Arctic Data Center (via DataONE)
op_collection_id dataone:urn:node:ARCTIC
language unknown
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
James Lovvorn
Aariel Rocha
Predicting sediment organic carbon and related food web types from a physical oceanographic model on a subarctic shelf- Chirikov region, 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 (r 2 = 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 (r 2 = 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 James Lovvorn
Aariel Rocha
author_facet James Lovvorn
Aariel Rocha
author_sort James Lovvorn
title Predicting sediment organic carbon and related food web types from a physical oceanographic model on a subarctic shelf- Chirikov region, 2006-2007
title_short Predicting sediment organic carbon and related food web types from a physical oceanographic model on a subarctic shelf- Chirikov region, 2006-2007
title_full Predicting sediment organic carbon and related food web types from a physical oceanographic model on a subarctic shelf- Chirikov region, 2006-2007
title_fullStr Predicting sediment organic carbon and related food web types from a physical oceanographic model on a subarctic shelf- Chirikov region, 2006-2007
title_full_unstemmed Predicting sediment organic carbon and related food web types from a physical oceanographic model on a subarctic shelf- Chirikov region, 2006-2007
title_sort predicting sediment organic carbon and related food web types from a physical oceanographic model on a subarctic shelf- chirikov region, 2006-2007
publisher Arctic Data Center
publishDate 2019
url https://doi.org/10.18739/A2HX15R1X
op_coverage Chirikov basin, northern Bering Sea
ENVELOPE(-171.62396,-167.18951,65.66096,63.96615)
BEGINDATE: 2006-05-20T00:00:00Z ENDDATE: 2007-05-03T00:00:00Z
long_lat ENVELOPE(-171.62396,-167.18951,65.66096,63.96615)
geographic Bering Sea
geographic_facet Bering Sea
genre Bering Sea
Odobenus rosmarus
Subarctic
walrus*
genre_facet Bering Sea
Odobenus rosmarus
Subarctic
walrus*
op_doi https://doi.org/10.18739/A2HX15R1X
_version_ 1800870866209210368