Large-scale climate forcing linked to phytoplankton biomass variability in the Northwest Atlantic ...

No abstracts are to be cited without prior reference to the author. Phytoplankton are the base of the marine food web and a recent study of Large Marine Ecosystems (LMEs) worldwide suggested that high fisheries yield is associated with high surface chlorophyll-a (chl-a), a proxy for phytoplankton bi...

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Main Authors: Saba, Vincent S., Hyde, Kimberly J.W., Friedland, Kevin D., Hare, Jonathan A., Link, Jason S., Fogarty, Michael J.
Format: Conference Object
Language:unknown
Published: ASC 2013 - Theme session M 2024
Subjects:
Nes
Online Access:https://dx.doi.org/10.17895/ices.pub.24753780
https://ices-library.figshare.com/articles/conference_contribution/Large-scale_climate_forcing_linked_to_phytoplankton_biomass_variability_in_the_Northwest_Atlantic/24753780
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spelling ftdatacite:10.17895/ices.pub.24753780 2024-02-27T08:43:57+00:00 Large-scale climate forcing linked to phytoplankton biomass variability in the Northwest Atlantic ... Saba, Vincent S. Hyde, Kimberly J.W. Friedland, Kevin D. Hare, Jonathan A. Link, Jason S. Fogarty, Michael J. 2024 https://dx.doi.org/10.17895/ices.pub.24753780 https://ices-library.figshare.com/articles/conference_contribution/Large-scale_climate_forcing_linked_to_phytoplankton_biomass_variability_in_the_Northwest_Atlantic/24753780 unknown ASC 2013 - Theme session M https://ices-library.figshare.com/ICES-ASC-2013/groups ICES Custom Licence https://www.ices.dk/Pages/library_policies.aspx Technologies and data Ecosystem observation, processes and dynamics CreativeWork Conference contribution Other article 2024 ftdatacite https://doi.org/10.17895/ices.pub.24753780 2024-02-01T14:39:17Z No abstracts are to be cited without prior reference to the author. Phytoplankton are the base of the marine food web and a recent study of Large Marine Ecosystems (LMEs) worldwide suggested that high fisheries yield is associated with high surface chlorophyll-a (chl-a), a proxy for phytoplankton biomass. Here we analyzed satellite-derived chl-a from two different sensors (SeaWiFS & MODIS) at two different time-periods (1997-2010 & 2002-2012) covering the region of the United States Northeast Shelf Large Marine Ecosystem (U.S. NES LME) and off-shelf waters. We conducted an empirical orthogonal function (EOF) analysis of 1-km chl-a data that was post-processed using a regional algorithm to improve chl-a estimates in case-2 waters close to coastlines. We identified areas within the U.S. NES LME that had the strongest interannual variability of chl-a and analyzed relationships to large-scale climate forcing and local forcing (i.e. SST, nutrients, surface winds). The local mechanistic underpinnings that ... Conference Object Northwest Atlantic DataCite Metadata Store (German National Library of Science and Technology) Nes ENVELOPE(7.634,7.634,62.795,62.795) Nes’ ENVELOPE(44.681,44.681,66.600,66.600)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language unknown
topic Technologies and data
Ecosystem observation, processes and dynamics
spellingShingle Technologies and data
Ecosystem observation, processes and dynamics
Saba, Vincent S.
Hyde, Kimberly J.W.
Friedland, Kevin D.
Hare, Jonathan A.
Link, Jason S.
Fogarty, Michael J.
Large-scale climate forcing linked to phytoplankton biomass variability in the Northwest Atlantic ...
topic_facet Technologies and data
Ecosystem observation, processes and dynamics
description No abstracts are to be cited without prior reference to the author. Phytoplankton are the base of the marine food web and a recent study of Large Marine Ecosystems (LMEs) worldwide suggested that high fisheries yield is associated with high surface chlorophyll-a (chl-a), a proxy for phytoplankton biomass. Here we analyzed satellite-derived chl-a from two different sensors (SeaWiFS & MODIS) at two different time-periods (1997-2010 & 2002-2012) covering the region of the United States Northeast Shelf Large Marine Ecosystem (U.S. NES LME) and off-shelf waters. We conducted an empirical orthogonal function (EOF) analysis of 1-km chl-a data that was post-processed using a regional algorithm to improve chl-a estimates in case-2 waters close to coastlines. We identified areas within the U.S. NES LME that had the strongest interannual variability of chl-a and analyzed relationships to large-scale climate forcing and local forcing (i.e. SST, nutrients, surface winds). The local mechanistic underpinnings that ...
format Conference Object
author Saba, Vincent S.
Hyde, Kimberly J.W.
Friedland, Kevin D.
Hare, Jonathan A.
Link, Jason S.
Fogarty, Michael J.
author_facet Saba, Vincent S.
Hyde, Kimberly J.W.
Friedland, Kevin D.
Hare, Jonathan A.
Link, Jason S.
Fogarty, Michael J.
author_sort Saba, Vincent S.
title Large-scale climate forcing linked to phytoplankton biomass variability in the Northwest Atlantic ...
title_short Large-scale climate forcing linked to phytoplankton biomass variability in the Northwest Atlantic ...
title_full Large-scale climate forcing linked to phytoplankton biomass variability in the Northwest Atlantic ...
title_fullStr Large-scale climate forcing linked to phytoplankton biomass variability in the Northwest Atlantic ...
title_full_unstemmed Large-scale climate forcing linked to phytoplankton biomass variability in the Northwest Atlantic ...
title_sort large-scale climate forcing linked to phytoplankton biomass variability in the northwest atlantic ...
publisher ASC 2013 - Theme session M
publishDate 2024
url https://dx.doi.org/10.17895/ices.pub.24753780
https://ices-library.figshare.com/articles/conference_contribution/Large-scale_climate_forcing_linked_to_phytoplankton_biomass_variability_in_the_Northwest_Atlantic/24753780
long_lat ENVELOPE(7.634,7.634,62.795,62.795)
ENVELOPE(44.681,44.681,66.600,66.600)
geographic Nes
Nes’
geographic_facet Nes
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genre Northwest Atlantic
genre_facet Northwest Atlantic
op_relation https://ices-library.figshare.com/ICES-ASC-2013/groups
op_rights ICES Custom Licence
https://www.ices.dk/Pages/library_policies.aspx
op_doi https://doi.org/10.17895/ices.pub.24753780
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