FittingEuphausia superbainto Southern Ocean food-web models: a review of data sources and their limitations

This paper aims to provide the overview needed to include krill in food-web models and to guide modellers to key sources of data. It describes the strengths of each method of sampling krill, i.e. with nets (for historical time series, demographic information and live krill), acoustics (distribution,...

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Main Authors: Atkinson, Angus, Nicol, Steven, Kawaguchi, So, Pakhomov, Evgeny A., Quetin, Langdon B., Ross, R., Hill, S., Reiss, Christian S., Siegel, Volker, Tarling, Geraint A.
Format: Article in Journal/Newspaper
Language:English
Published: 2012
Subjects:
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spelling ftopenagrar:oai:www.openagrar.de:timport_mods_00035044 2023-05-15T18:18:08+02:00 FittingEuphausia superbainto Southern Ocean food-web models: a review of data sources and their limitations Atkinson, Angus Nicol, Steven Kawaguchi, So Pakhomov, Evgeny A. Quetin, Langdon B. Ross, R. Hill, S. Reiss, Christian S. Siegel, Volker Tarling, Geraint A. 2012 26 https://www.openagrar.de/receive/timport_mods_00035044 https://www.openagrar.de/servlets/MCRFileNodeServlet/timport_derivate_00035044/dn051404.pdf eng eng CCAMLR science : journal of the Scientific Committee and the Commission for the Conservation of Antarctic Marine Living Resources -- 1023-4063 -- 2270272-6 https://www.openagrar.de/receive/timport_mods_00035044 https://www.openagrar.de/servlets/MCRFileNodeServlet/timport_derivate_00035044/dn051404.pdf only signed in user info:eu-repo/semantics/openAccess Text article Text 2012 ftopenagrar 2023-03-06T00:04:22Z This paper aims to provide the overview needed to include krill in food-web models and to guide modellers to key sources of data. It describes the strengths of each method of sampling krill, i.e. with nets (for historical time series, demographic information and live krill), acoustics (distribution, time series, biomass and swarm-scale information), the fishery (sustained sampling in one place and wide area and time coverage) and via predators (long time series, demographic indices). Each data source has caveats and more efforts to combine them are recommended. Observations that krill occupy the underice layer, the 0–10 m layer, the deeper water column and the benthos have fundamental implications, both for assessing biomass and for modelling the food web. Temporally, the intense (order of magnitude) interannual variability in krill population size within the southwest (SW) Atlantic sector is a major scale of variability, driven by sea-ice and climate effects on recruitment. This variability masks top–down predation controls that may operate over multi-decadal scales. Growth in spring, summer and autumn is now fairly well quantified, but mortality remains an enigma. We are still not yet confident which are the major predators of krill but studies increasingly suggest that they are not currently birds or mammals. Krill feed across three trophic levels and can control food populations through locally high grazing impact and nutrient regeneration. They also have fundamental regional differences in overwintering strategies, on-shelf/off-shelf distributions, relationships with sea-ice and diet. Whether this reflects "subpopulations" with regionally specific life cycles is still unclear. However, caution is urged when scalingup food-web models and their parameterisations, either from individual to schooling krill, or from one region to another Article in Journal/Newspaper Sea ice Southern Ocean OpenAgrar (OA) Southern Ocean
institution Open Polar
collection OpenAgrar (OA)
op_collection_id ftopenagrar
language English
topic Text
spellingShingle Text
Atkinson, Angus
Nicol, Steven
Kawaguchi, So
Pakhomov, Evgeny A.
Quetin, Langdon B.
Ross, R.
Hill, S.
Reiss, Christian S.
Siegel, Volker
Tarling, Geraint A.
FittingEuphausia superbainto Southern Ocean food-web models: a review of data sources and their limitations
topic_facet Text
description This paper aims to provide the overview needed to include krill in food-web models and to guide modellers to key sources of data. It describes the strengths of each method of sampling krill, i.e. with nets (for historical time series, demographic information and live krill), acoustics (distribution, time series, biomass and swarm-scale information), the fishery (sustained sampling in one place and wide area and time coverage) and via predators (long time series, demographic indices). Each data source has caveats and more efforts to combine them are recommended. Observations that krill occupy the underice layer, the 0–10 m layer, the deeper water column and the benthos have fundamental implications, both for assessing biomass and for modelling the food web. Temporally, the intense (order of magnitude) interannual variability in krill population size within the southwest (SW) Atlantic sector is a major scale of variability, driven by sea-ice and climate effects on recruitment. This variability masks top–down predation controls that may operate over multi-decadal scales. Growth in spring, summer and autumn is now fairly well quantified, but mortality remains an enigma. We are still not yet confident which are the major predators of krill but studies increasingly suggest that they are not currently birds or mammals. Krill feed across three trophic levels and can control food populations through locally high grazing impact and nutrient regeneration. They also have fundamental regional differences in overwintering strategies, on-shelf/off-shelf distributions, relationships with sea-ice and diet. Whether this reflects "subpopulations" with regionally specific life cycles is still unclear. However, caution is urged when scalingup food-web models and their parameterisations, either from individual to schooling krill, or from one region to another
format Article in Journal/Newspaper
author Atkinson, Angus
Nicol, Steven
Kawaguchi, So
Pakhomov, Evgeny A.
Quetin, Langdon B.
Ross, R.
Hill, S.
Reiss, Christian S.
Siegel, Volker
Tarling, Geraint A.
author_facet Atkinson, Angus
Nicol, Steven
Kawaguchi, So
Pakhomov, Evgeny A.
Quetin, Langdon B.
Ross, R.
Hill, S.
Reiss, Christian S.
Siegel, Volker
Tarling, Geraint A.
author_sort Atkinson, Angus
title FittingEuphausia superbainto Southern Ocean food-web models: a review of data sources and their limitations
title_short FittingEuphausia superbainto Southern Ocean food-web models: a review of data sources and their limitations
title_full FittingEuphausia superbainto Southern Ocean food-web models: a review of data sources and their limitations
title_fullStr FittingEuphausia superbainto Southern Ocean food-web models: a review of data sources and their limitations
title_full_unstemmed FittingEuphausia superbainto Southern Ocean food-web models: a review of data sources and their limitations
title_sort fittingeuphausia superbainto southern ocean food-web models: a review of data sources and their limitations
publishDate 2012
url https://www.openagrar.de/receive/timport_mods_00035044
https://www.openagrar.de/servlets/MCRFileNodeServlet/timport_derivate_00035044/dn051404.pdf
geographic Southern Ocean
geographic_facet Southern Ocean
genre Sea ice
Southern Ocean
genre_facet Sea ice
Southern Ocean
op_relation CCAMLR science : journal of the Scientific Committee and the Commission for the Conservation of Antarctic Marine Living Resources -- 1023-4063 -- 2270272-6
https://www.openagrar.de/receive/timport_mods_00035044
https://www.openagrar.de/servlets/MCRFileNodeServlet/timport_derivate_00035044/dn051404.pdf
op_rights only signed in user
info:eu-repo/semantics/openAccess
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