(Table 1) Krill (Euphausia superba) biomass estimates at South Georgia Island from 2001-2005 ...

The South Georgia region supports a large biomass of krill that is subject to high interannual variability. The apparent lack of a locally self-maintaining krill population at South Georgia means that understanding the mechanism underlying these observed population characteristics is essential to su...

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Bibliographic Details
Main Authors: Reid, Keith, Watkins, Jon L, Murphy, Eugene J, Trathan, Phil N, Fielding, Sophie, Enderlein, Peter
Format: Dataset
Language:English
Published: PANGAEA 2010
Subjects:
IPY
Online Access:https://dx.doi.org/10.1594/pangaea.819015
https://doi.pangaea.de/10.1594/PANGAEA.819015
id ftdatacite:10.1594/pangaea.819015
record_format openpolar
spelling ftdatacite:10.1594/pangaea.819015 2024-09-15T18:05:12+00:00 (Table 1) Krill (Euphausia superba) biomass estimates at South Georgia Island from 2001-2005 ... Reid, Keith Watkins, Jon L Murphy, Eugene J Trathan, Phil N Fielding, Sophie Enderlein, Peter 2010 text/tab-separated-values https://dx.doi.org/10.1594/pangaea.819015 https://doi.pangaea.de/10.1594/PANGAEA.819015 en eng PANGAEA https://dx.doi.org/10.3354/meps08356 Creative Commons Attribution 3.0 Unported https://creativecommons.org/licenses/by/3.0/legalcode cc-by-3.0 Time coverage DATE/TIME Euphausia superba, biomass Coefficient Echosounder International Polar Year 2007-2008 IPY dataset Supplementary Dataset Dataset 2010 ftdatacite https://doi.org/10.1594/pangaea.81901510.3354/meps08356 2024-08-01T10:55:41Z The South Georgia region supports a large biomass of krill that is subject to high interannual variability. The apparent lack of a locally self-maintaining krill population at South Georgia means that understanding the mechanism underlying these observed population characteristics is essential to successful ecosystem-based management of krill fishery in the region. Krill acoustic-density data from surveys conducted in the early, middle and late period of the summers of 2001 to 2005, together with krill population size structure over the same period from predator diet data, were used with a krill population dynamics model to evaluate potential mechanisms behind the observed changes in krill biomass. Krill abundance was highest during the middle of the summer in 3 years and in the late period in 2 years; in the latter there was evidence that krill recruitment was delayed by several months. A model scenario that included empirically derived estimates of both the magnitude and timing of recruitment in each year ... : DATE/TIME is start date. Data extracted in the frame of a joint ICSTI/PANGAEA IPY effort, see http://doi.pangaea.de/10.1594/PANGAEA.150150 ... Dataset Euphausia superba International Polar Year IPY South Georgia Island DataCite
institution Open Polar
collection DataCite
op_collection_id ftdatacite
language English
topic Time coverage
DATE/TIME
Euphausia superba, biomass
Coefficient
Echosounder
International Polar Year 2007-2008 IPY
spellingShingle Time coverage
DATE/TIME
Euphausia superba, biomass
Coefficient
Echosounder
International Polar Year 2007-2008 IPY
Reid, Keith
Watkins, Jon L
Murphy, Eugene J
Trathan, Phil N
Fielding, Sophie
Enderlein, Peter
(Table 1) Krill (Euphausia superba) biomass estimates at South Georgia Island from 2001-2005 ...
topic_facet Time coverage
DATE/TIME
Euphausia superba, biomass
Coefficient
Echosounder
International Polar Year 2007-2008 IPY
description The South Georgia region supports a large biomass of krill that is subject to high interannual variability. The apparent lack of a locally self-maintaining krill population at South Georgia means that understanding the mechanism underlying these observed population characteristics is essential to successful ecosystem-based management of krill fishery in the region. Krill acoustic-density data from surveys conducted in the early, middle and late period of the summers of 2001 to 2005, together with krill population size structure over the same period from predator diet data, were used with a krill population dynamics model to evaluate potential mechanisms behind the observed changes in krill biomass. Krill abundance was highest during the middle of the summer in 3 years and in the late period in 2 years; in the latter there was evidence that krill recruitment was delayed by several months. A model scenario that included empirically derived estimates of both the magnitude and timing of recruitment in each year ... : DATE/TIME is start date. Data extracted in the frame of a joint ICSTI/PANGAEA IPY effort, see http://doi.pangaea.de/10.1594/PANGAEA.150150 ...
format Dataset
author Reid, Keith
Watkins, Jon L
Murphy, Eugene J
Trathan, Phil N
Fielding, Sophie
Enderlein, Peter
author_facet Reid, Keith
Watkins, Jon L
Murphy, Eugene J
Trathan, Phil N
Fielding, Sophie
Enderlein, Peter
author_sort Reid, Keith
title (Table 1) Krill (Euphausia superba) biomass estimates at South Georgia Island from 2001-2005 ...
title_short (Table 1) Krill (Euphausia superba) biomass estimates at South Georgia Island from 2001-2005 ...
title_full (Table 1) Krill (Euphausia superba) biomass estimates at South Georgia Island from 2001-2005 ...
title_fullStr (Table 1) Krill (Euphausia superba) biomass estimates at South Georgia Island from 2001-2005 ...
title_full_unstemmed (Table 1) Krill (Euphausia superba) biomass estimates at South Georgia Island from 2001-2005 ...
title_sort (table 1) krill (euphausia superba) biomass estimates at south georgia island from 2001-2005 ...
publisher PANGAEA
publishDate 2010
url https://dx.doi.org/10.1594/pangaea.819015
https://doi.pangaea.de/10.1594/PANGAEA.819015
genre Euphausia superba
International Polar Year
IPY
South Georgia Island
genre_facet Euphausia superba
International Polar Year
IPY
South Georgia Island
op_relation https://dx.doi.org/10.3354/meps08356
op_rights Creative Commons Attribution 3.0 Unported
https://creativecommons.org/licenses/by/3.0/legalcode
cc-by-3.0
op_doi https://doi.org/10.1594/pangaea.81901510.3354/meps08356
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