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KRILLPODYM modelled estimates of Antarctic krill circumpolar distribution

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 Spatial Ecosystem And Population Dynamics Model (SEAPODYM) is one such framework that integrates population and general circulation modelling to simulate the spatial dynamics of key organisms. Here, we describe a modification to SEAPODYM, creating a novel model – KRILLPODYM – that generates spatially resolved estimates of krill biomass and demographics. This new model consists of three major components: (1) an age-structured population consisting of five key life stages, each with multiple age classes, which undergo age-dependent growth and mortality, (2) six key habitats that mediate the production of larvae and life stage survival, and (3) spatial dynamics driven by both the underlying circulation of ocean currents and advection of sea-ice.


Here we present the first results of KRILLPODYM, using published deterministic functions of population processes and habitat suitability rules. Initialising from a non-informative uniform density across the Southern Ocean our model independently develops a circumpolar population distribution of krill that approximates observations. The model framework lends itself to applied experiments aimed at resolving key population parameters, life-stage specific habitat requirements, and dominant transport regimes, ultimately informing sustainable fishery management.

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This dataset represents KRILLPODYM modelled estimates of Antarctic krill circumpolar biomass distribution for the final year of a 12-year spin up. Biomass distributions are given for each of the five key life stages outlined above.


The accompanying background, model framework and initialisation description can be found in the following reference 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

Simple

Identification info

Date (Publication)
2023-06-08T00:00:00
Citation identifier
doi:10.25959/895K-K978

Title
Information and documentation - Digital object identifier system
Date (Publication)
2023-06-08
Citation identifier
ISO 26324:2012

Citation identifier
https://doi.org/10.25959/895K-K978

Resource provider

Institute for Marine and Antarctic Studies (IMAS)
Private Bag 129
Hobart
Tasmania
7001
Australia

Author

Institute for Marine and Antarctic Studies (IMAS), University of Tasmania (UTAS) - Green, David
Private Bag 129
Hobart
TAS
7001
Australia
ORCID ID >

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.
Status
On going

Point of contact

Institute for Marine and Antarctic Studies (IMAS), University of Tasmania (UTAS) - Green, David
Hobart
TAS
7001
Australia
ORCID ID >

Topic category
  • Biota
  • Oceans

Extent

N
S
E
W


Temporal extent

Time period
2023-04-01
Maintenance and update frequency
As needed
Keywords (Theme)
  • Southern Ocean
  • Ecosystem modelling
  • Earth systems
  • Population connectivity
  • Fisheries
  • Mid-trophic pelagic prey
  • Spatial processes
Keywords (Taxon)
  • Antarctic krill
  • Euphausia superba
Global Change Master Directory Earth Science Keywords, Version 8.5
  • EARTH SCIENCE | AGRICULTURE | ANIMAL SCIENCE | ANIMAL ECOLOGY AND BEHAVIOR
  • EARTH SCIENCE | BIOSPHERE | ECOLOGICAL DYNAMICS
  • EARTH SCIENCE | AGRICULTURE | AGRICULTURAL AQUATIC SCIENCES | FISHERIES
  • EARTH SCIENCE | BIOSPHERE | ECOSYSTEMS | MARINE ECOSYSTEMS
  • EARTH SCIENCE SERVICES | MODELS | OCEAN GENERAL CIRCULATION MODELS (OGCM)/REGIONAL OCEAN MODELS
  • EARTH SCIENCE SERVICES | ENVIRONMENTAL ADVISORIES | MARINE ADVISORIES | MARINE BIOLOGY
AODN Geographic Extents Vocabulary
  • Global / Oceans | Global / Oceans | Southern Ocean

Resource constraints

Use limitation
Data, products and services from IMAS are provided "as is" without any warranty as to fitness for a particular purpose.

Resource constraints

Other constraints
This dataset is the intellectual property of the University of Tasmania (UTAS) through the Institute for Marine and Antarctic Studies (IMAS).

Resource constraints

Linkage
https://licensebuttons.net/l/by-nc/4.0/88x31.png

License Graphic

Title
Creative Commons Attribution-NonCommercial 4.0 International License
Alternate title
CC-BY-NC
Edition
4.0


>

Website
https://creativecommons.org/licenses/by-nc/4.0/

License Text

Other constraints
Cite data as: Green, D. (2023). KRILLPODYM modelled estimates of Antarctic krill circumpolar distribution [Data set]. Institute for Marine and Antarctic Studies (IMAS), University of Tasmania (UTAS). https://doi.org/10.25959/895K-K978
Language
English
Character encoding
UTF8
Supplemental Information
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

Content Information

Content type
Physical measurement

Distribution Information

Distribution format
  • NetCDF

Distribution Information

OnLine resource
DATA ACCESS - Krill biomass all .NC files (.zip)

OnLine resource
DATA ACCESS - browse and download individual files

Resource lineage

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
Hierarchy level
Dataset
Hierarchy level
Dataset

Metadata

Metadata identifier
urn:uuid/d14f679c-41d0-442f-a080-aa1947cefd6d

Language
English
Character encoding
UTF8

Distributor

IMAS Data Manager - Data Officer
Institute for Marine and Antarctic Studies
Private Bag 129
Hobart
Tasmania
7001
Australia
Institute for Marine and Antarctic Studies (IMAS) website >

Type of resource

Resource scope
Dataset
Name
IMAS Dataset level record
Metadata linkage
https://metadata.imas.utas.edu.au/geonetwork/srv/eng/catalog.search#/metadata/d14f679c-41d0-442f-a080-aa1947cefd6d

Point of truth URL of this metadata record

Date info (Creation)
2023-06-08T00:00:00
Date info (Revision)
2023-10-30T11:10:21

Metadata standard

Title
ISO 19115-3:2018
 
 

Overviews

Spatial extent

N
S
E
W


Keywords

Earth systems Ecosystem modelling Fisheries Mid-trophic pelagic prey Population connectivity Southern Ocean Spatial processes
Global Change Master Directory Earth Science Keywords, Version 8.5
EARTH SCIENCE SERVICES | ENVIRONMENTAL ADVISORIES | MARINE ADVISORIES | MARINE BIOLOGY EARTH SCIENCE SERVICES | MODELS | OCEAN GENERAL CIRCULATION MODELS (OGCM)/REGIONAL OCEAN MODELS EARTH SCIENCE | AGRICULTURE | AGRICULTURAL AQUATIC SCIENCES | FISHERIES EARTH SCIENCE | AGRICULTURE | ANIMAL SCIENCE | ANIMAL ECOLOGY AND BEHAVIOR EARTH SCIENCE | BIOSPHERE | ECOLOGICAL DYNAMICS EARTH SCIENCE | BIOSPHERE | ECOSYSTEMS | MARINE ECOSYSTEMS

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