Circumpolar Antarctic krill spawning habitat

Maintenance and Update Frequency: notPlanned Statement: We develop a mechanistic model combining thermal and food requirements for krill egg production, with predation pressure post-spawning, to predict regions that could support high larval production (spawning habitat). We optimize our model on re...

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Bibliographic Details
Other Authors: Antarctic Climate and Ecosystems Cooperative Research Centre (ACE CRC) (hasAssociationWith), Bestley, Sophie (hasPrincipalInvestigator), Collecte Localisation Satellites (CLS), Département Ecosystemes Marins (hasAssociationWith), Corney, Stuart (hasPrincipalInvestigator), Green, David (pointOfContact), Green, David (hasPrincipalInvestigator), Hindell, Mark (hasPrincipalInvestigator), Hindell, Mark, Dr (hasPrincipalInvestigator), Hindell, Mark, Prof. (hasPrincipalInvestigator), IMAS Data Manager (publisher), Institute for Marine and Antarctic Studies (IMAS), University of Tasmania (UTAS) (hasAssociationWith), Lehodey, Patrick (collaborator), Trebilco, Rowan (collaborator)
Format: Dataset
Language:unknown
Published: Australian Ocean Data Network
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Online Access:https://researchdata.edu.au/circumpolar-antarctic-krill-spawning-habitat/1678089
https://doi.org/10.25959/XXGM-N693
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Summary:Maintenance and Update Frequency: notPlanned Statement: We develop a mechanistic model combining thermal and food requirements for krill egg production, with predation pressure post-spawning, to predict regions that could support high larval production (spawning habitat). We optimize our model on regional data using a maximum likelihood approach and then generate circumpolar predictions of spawning habitat quality. Credit This study received support from the European H2020 International Cooperation project MESOPP No 692173 (Mesopelagic Southern Ocean Prey and Predators, www.mesopp.eu/). D.B.G. was funded through a Tasmania Graduate Research Scholarship. S.B. was supported by the Australian Research Council under DECRA award DE180100828. Antarctic krill is a key component of Southern Ocean ecosystems and there is significant interest in identifying regions acting as sources for the krill population. We develop a mechanistic model combining thermal and food requirements for krill egg production, with predation pressure post-spawning, to predict regions that could support high larval production (spawning habitat). We optimise our model on regional data using a maximum likelihood approach and then generate circumpolar predictions of spawning habitat quality. The uploaded datasets represent model predictions of seasonal circumpolar spawning habitat quality of Antarctic krill as well as composite data of the circumpolar mean annual number of weeks in which modelled spawning habitat quality is higher than the summer 80th percentile.