KRILLPODYM modelled estimates of Antarctic krill circumpolar distribution
Maintenance and Update Frequency: asNeeded Statement: A full description of the model background, framework, and implementation can be found in the following paper: Green, D. B., Titaud, O., Bestley, S., Corney, S. P., Hindell, M. A., Trebilco, R., Conchon, A. and Lehodey, P. in review. KRILLPODYM:...
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University of Tasmania, Australia
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Online Access: | https://doi.org/10.25959/895K-K978 https://researchdata.edu.au/krillpodym-modelled-estimates-circumpolar-distribution/2759535 |
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ftands:oai:ands.org.au::2759535 2023-12-03T10:13:51+01:00 KRILLPODYM modelled estimates of Antarctic krill circumpolar distribution AODN Data Manager (distributor) Data Officer (distributor) Green, David (pointOfContact) Green, David (author) IMAS Data Manager (hasAssociationWith) Institute for Marine and Antarctic Studies (IMAS) (resourceProvider) Institute for Marine and Antarctic Studies (IMAS), University of Tasmania (UTAS) (hasAssociationWith) Spatial: westlimit=-180; southlimit=-80.00; eastlimit=-180; northlimit=-40.00 Temporal: From 2023-04-01 https://doi.org/10.25959/895K-K978 https://researchdata.edu.au/krillpodym-modelled-estimates-circumpolar-distribution/2759535 unknown University of Tasmania, Australia https://researchdata.edu.au/krillpodym-modelled-estimates-circumpolar-distribution/2759535 d14f679c-41d0-442f-a080-aa1947cefd6d doi:10.25959/895K-K978 https://doi.org/10.25959/895K-K978 Institute for Marine and Antarctic Studies (IMAS), University of Tasmania (UTAS) biota oceans Southern Ocean Ecosystem modelling Earth systems Population connectivity Fisheries Mid-trophic pelagic prey Spatial processes Antarctic krill Euphausia superba ANIMAL ECOLOGY AND BEHAVIOR EARTH SCIENCE AGRICULTURE ANIMAL SCIENCE ECOLOGICAL DYNAMICS BIOSPHERE AGRICULTURAL AQUATIC SCIENCES EARTH SCIENCE | BIOSPHERE | ECOSYSTEMS | MARINE ECOSYSTEMS OCEAN GENERAL CIRCULATION MODELS (OGCM)/REGIONAL OCEAN MODELS EARTH SCIENCE SERVICES MODELS MARINE BIOLOGY ENVIRONMENTAL ADVISORIES MARINE ADVISORIES Global / Oceans | Global / Oceans | Southern Ocean dataset ftands https://doi.org/10.25959/895K-K978 2023-11-06T23:48:53Z Maintenance and Update Frequency: asNeeded Statement: A full description of the model background, framework, and implementation can be found in the following paper: Green, D. B., Titaud, O., Bestley, S., Corney, S. P., Hindell, M. A., Trebilco, R., Conchon, A. and Lehodey, P. in review. KRILLPODYM: a mechanistic, spatially resolved model of Antarctic krill distribution and abundance. - Frontiers in Marine Science Credit This research was supported by the Australian Research Council Special Research Initiative, Australian Centre for Excellence in Antarctic Science (Project Number SR200100008). DG received funding through a Tasmania Graduate Research Scholarship. SB was supported by the Australian Research Council under DECRA award DE180100828. Further funding was provided through the European H2020 International Cooperation project Mesopelagic Southern Ocean Prey and Predators No 692173. Robust prediction of population responses to changing environments requires the integration of factors controlling population dynamics with processes affecting distribution. This is true everywhere but especially in polar pelagic environments. Biological cycles for many polar species are synchronised to extreme seasonality, while their distributions may be influenced by both the prevailing oceanic circulation and sea-ice distribution. Antarctic krill (krill, Euphausia superba) is one such species exhibiting a complex life history that is finely tuned to the extreme seasonality of the Southern Ocean. Dependencies on the timing of optimal seasonal conditions has led to concerns over the effects of future climate on krill’s population status, particularly given the species’ important role within Southern Ocean ecosystems. Under a changing climate, established correlations between environment and species may breakdown. Developing the capacity for predicting krill responses to climate change therefore requires methods that can explicitly consider the interplay between life history, biological conditions, and transport. The ... Dataset Antarc* Antarctic Antarctic Krill Euphausia superba Sea ice Southern Ocean Research Data Australia (Australian National Data Service - ANDS) Antarctic Southern Ocean |
institution |
Open Polar |
collection |
Research Data Australia (Australian National Data Service - ANDS) |
op_collection_id |
ftands |
language |
unknown |
topic |
biota oceans Southern Ocean Ecosystem modelling Earth systems Population connectivity Fisheries Mid-trophic pelagic prey Spatial processes Antarctic krill Euphausia superba ANIMAL ECOLOGY AND BEHAVIOR EARTH SCIENCE AGRICULTURE ANIMAL SCIENCE ECOLOGICAL DYNAMICS BIOSPHERE AGRICULTURAL AQUATIC SCIENCES EARTH SCIENCE | BIOSPHERE | ECOSYSTEMS | MARINE ECOSYSTEMS OCEAN GENERAL CIRCULATION MODELS (OGCM)/REGIONAL OCEAN MODELS EARTH SCIENCE SERVICES MODELS MARINE BIOLOGY ENVIRONMENTAL ADVISORIES MARINE ADVISORIES Global / Oceans | Global / Oceans | Southern Ocean |
spellingShingle |
biota oceans Southern Ocean Ecosystem modelling Earth systems Population connectivity Fisheries Mid-trophic pelagic prey Spatial processes Antarctic krill Euphausia superba ANIMAL ECOLOGY AND BEHAVIOR EARTH SCIENCE AGRICULTURE ANIMAL SCIENCE ECOLOGICAL DYNAMICS BIOSPHERE AGRICULTURAL AQUATIC SCIENCES EARTH SCIENCE | BIOSPHERE | ECOSYSTEMS | MARINE ECOSYSTEMS OCEAN GENERAL CIRCULATION MODELS (OGCM)/REGIONAL OCEAN MODELS EARTH SCIENCE SERVICES MODELS MARINE BIOLOGY ENVIRONMENTAL ADVISORIES MARINE ADVISORIES Global / Oceans | Global / Oceans | Southern Ocean KRILLPODYM modelled estimates of Antarctic krill circumpolar distribution |
topic_facet |
biota oceans Southern Ocean Ecosystem modelling Earth systems Population connectivity Fisheries Mid-trophic pelagic prey Spatial processes Antarctic krill Euphausia superba ANIMAL ECOLOGY AND BEHAVIOR EARTH SCIENCE AGRICULTURE ANIMAL SCIENCE ECOLOGICAL DYNAMICS BIOSPHERE AGRICULTURAL AQUATIC SCIENCES EARTH SCIENCE | BIOSPHERE | ECOSYSTEMS | MARINE ECOSYSTEMS OCEAN GENERAL CIRCULATION MODELS (OGCM)/REGIONAL OCEAN MODELS EARTH SCIENCE SERVICES MODELS MARINE BIOLOGY ENVIRONMENTAL ADVISORIES MARINE ADVISORIES Global / Oceans | Global / Oceans | Southern Ocean |
description |
Maintenance and Update Frequency: asNeeded Statement: A full description of the model background, framework, and implementation can be found in the following paper: Green, D. B., Titaud, O., Bestley, S., Corney, S. P., Hindell, M. A., Trebilco, R., Conchon, A. and Lehodey, P. in review. KRILLPODYM: a mechanistic, spatially resolved model of Antarctic krill distribution and abundance. - Frontiers in Marine Science Credit This research was supported by the Australian Research Council Special Research Initiative, Australian Centre for Excellence in Antarctic Science (Project Number SR200100008). DG received funding through a Tasmania Graduate Research Scholarship. SB was supported by the Australian Research Council under DECRA award DE180100828. Further funding was provided through the European H2020 International Cooperation project Mesopelagic Southern Ocean Prey and Predators No 692173. Robust prediction of population responses to changing environments requires the integration of factors controlling population dynamics with processes affecting distribution. This is true everywhere but especially in polar pelagic environments. Biological cycles for many polar species are synchronised to extreme seasonality, while their distributions may be influenced by both the prevailing oceanic circulation and sea-ice distribution. Antarctic krill (krill, Euphausia superba) is one such species exhibiting a complex life history that is finely tuned to the extreme seasonality of the Southern Ocean. Dependencies on the timing of optimal seasonal conditions has led to concerns over the effects of future climate on krill’s population status, particularly given the species’ important role within Southern Ocean ecosystems. Under a changing climate, established correlations between environment and species may breakdown. Developing the capacity for predicting krill responses to climate change therefore requires methods that can explicitly consider the interplay between life history, biological conditions, and transport. The ... |
author2 |
AODN Data Manager (distributor) Data Officer (distributor) Green, David (pointOfContact) Green, David (author) IMAS Data Manager (hasAssociationWith) Institute for Marine and Antarctic Studies (IMAS) (resourceProvider) Institute for Marine and Antarctic Studies (IMAS), University of Tasmania (UTAS) (hasAssociationWith) |
format |
Dataset |
title |
KRILLPODYM modelled estimates of Antarctic krill circumpolar distribution |
title_short |
KRILLPODYM modelled estimates of Antarctic krill circumpolar distribution |
title_full |
KRILLPODYM modelled estimates of Antarctic krill circumpolar distribution |
title_fullStr |
KRILLPODYM modelled estimates of Antarctic krill circumpolar distribution |
title_full_unstemmed |
KRILLPODYM modelled estimates of Antarctic krill circumpolar distribution |
title_sort |
krillpodym modelled estimates of antarctic krill circumpolar distribution |
publisher |
University of Tasmania, Australia |
url |
https://doi.org/10.25959/895K-K978 https://researchdata.edu.au/krillpodym-modelled-estimates-circumpolar-distribution/2759535 |
op_coverage |
Spatial: westlimit=-180; southlimit=-80.00; eastlimit=-180; northlimit=-40.00 Temporal: From 2023-04-01 |
geographic |
Antarctic Southern Ocean |
geographic_facet |
Antarctic Southern Ocean |
genre |
Antarc* Antarctic Antarctic Krill Euphausia superba Sea ice Southern Ocean |
genre_facet |
Antarc* Antarctic Antarctic Krill Euphausia superba Sea ice Southern Ocean |
op_source |
Institute for Marine and Antarctic Studies (IMAS), University of Tasmania (UTAS) |
op_relation |
https://researchdata.edu.au/krillpodym-modelled-estimates-circumpolar-distribution/2759535 d14f679c-41d0-442f-a080-aa1947cefd6d doi:10.25959/895K-K978 https://doi.org/10.25959/895K-K978 |
op_doi |
https://doi.org/10.25959/895K-K978 |
_version_ |
1784260804516773888 |