Circumpolar Projections of Antarctic krill (Euphausia superba) growth potential
This dataset represents modeled outputs and therefore problems with data collection do not apply directly. However, the OISST v2, SeaWiFS and Johnson et al. (2013) datasets, which were used for assessing model skill, are based off measurements (of SST or ocean colour, respectively) and analyses that...
id |
ftands:oai:ands.org.au::1668612 |
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record_format |
openpolar |
institution |
Open Polar |
collection |
Research Data Australia (Australian National Data Service - ANDS) |
op_collection_id |
ftands |
language |
unknown |
topic |
biota oceans EUPHAUSIIDS (KRILL) EARTH SCIENCE BIOLOGICAL CLASSIFICATION ANIMALS/INVERTEBRATES ARTHROPODS CRUSTACEANS USE/FEEDING HABITATS BIOSPHERE ECOLOGICAL DYNAMICS SPECIES/POPULATION INTERACTIONS CLIMATE CHANGE IMPACT ASSESSMENT MODELS EARTH SCIENCE SERVICES MODELS Computer > Computer CLIMATE MODELS AMD/AU CEOS AMD OCEAN > SOUTHERN OCEAN GEOGRAPHIC REGION > POLAR CONTINENT > ANTARCTICA |
spellingShingle |
biota oceans EUPHAUSIIDS (KRILL) EARTH SCIENCE BIOLOGICAL CLASSIFICATION ANIMALS/INVERTEBRATES ARTHROPODS CRUSTACEANS USE/FEEDING HABITATS BIOSPHERE ECOLOGICAL DYNAMICS SPECIES/POPULATION INTERACTIONS CLIMATE CHANGE IMPACT ASSESSMENT MODELS EARTH SCIENCE SERVICES MODELS Computer > Computer CLIMATE MODELS AMD/AU CEOS AMD OCEAN > SOUTHERN OCEAN GEOGRAPHIC REGION > POLAR CONTINENT > ANTARCTICA Circumpolar Projections of Antarctic krill (Euphausia superba) growth potential |
topic_facet |
biota oceans EUPHAUSIIDS (KRILL) EARTH SCIENCE BIOLOGICAL CLASSIFICATION ANIMALS/INVERTEBRATES ARTHROPODS CRUSTACEANS USE/FEEDING HABITATS BIOSPHERE ECOLOGICAL DYNAMICS SPECIES/POPULATION INTERACTIONS CLIMATE CHANGE IMPACT ASSESSMENT MODELS EARTH SCIENCE SERVICES MODELS Computer > Computer CLIMATE MODELS AMD/AU CEOS AMD OCEAN > SOUTHERN OCEAN GEOGRAPHIC REGION > POLAR CONTINENT > ANTARCTICA |
description |
This dataset represents modeled outputs and therefore problems with data collection do not apply directly. However, the OISST v2, SeaWiFS and Johnson et al. (2013) datasets, which were used for assessing model skill, are based off measurements (of SST or ocean colour, respectively) and analyses that have their own errors associated (see the respective datasets for more information). These data represent the results of the first study to use Earth System Model (ESM) outputs of SST and chlorophyll-a to simulate circumpolar krill growth potential for the recent past (1960-1989) and future climate change scenarios (2070-2099). Growth potential is obtained using an empirically-derived krill growth model (Atkinson et al. 2006, Limnol. Oceanogr.), where growth is modeled as a function of SST and chlorophyll-a. It serves as an approximation of habitat quality, as areas that support high growth rates are assumed to be good habitat (see Murphy et al., 2017, Sci Rep). To increase confidence in the future projections, ESMs were selected and weighted for each season based on their skill at reproducing observation-based krill growth potential for the recent past. First, eleven ESMs which provided SST and chlorophyll-a outputs were obtained from the Coupled Model Inter-comparison Project 5 archive. These included: CanESM2, CMCC-CESM, CNRM-CM5, GFL-ESM2G, GFDL-ESM2M, GISS-E2-H-CC, HadGEM2-CC, IPSL-CM5A-LR, MPI-ESM-MR, MRI-ESM1 and NorESM1-ME. For each ESM, seasonal surface averages of SST and chlorophyll-a were used to calculate growth potential for the historical scenario (1960-1989), which was then bilinearly interpolated on to the same 1°x1° grid. Satellite observation-based datasets for SST and chlorophyll-a were used to calculate observation-based growth potential for the recent past (1997-2010). These comprised seasonal surface averages of SST (from the OISST v2 daily dataset, 1/4⁰ horizontal resolution) and chlorophyll-a (the mean of the SeaWiFS and Johnson et al. (2013) corrected estimate of SeaWiFS daily datasets, 1/12⁰ horizontal resolution). Observation-based growth potential was then bilinearly interpolated onto the same grid as the ESMs. ESM skill for each season was subsequently assessed against observation-based growth potential using a Taylor Diagram. The ESMs were selected and weighted according to their performance to produce a weighted subset (see "ESM_weighting_method.pdf" file). Of the netcdfs provided, "hist_mean_ensemble.nc" represents the unweighted mean of seasonal growth potential, calculated from the initial ensemble of eleven ESMs for the historical scenario. The "hist_mean_subset.nc" file represents the analogous output of the weighted subset. Future projections of seasonal growth potential for Representative Concentration Pathways (RCPs) 4.5 and 8.5 were obtained using the weighted subset for the period of 2070-2099. These projected seasonal surface averages are provided in the "rcp45_mean_subset.nc" and "rcp85_mean_subset.nc" files. RCPs represent standard climate change scenarios developed by the Intergovernmental Panel on Climate Change, with 4.5 reflecting some mitigation of carbon emissions, and 8.5 being the "business as usual" scenario. Analogous netcdfs for the weighted subset outputs of chlorophyll-a (chl) and SST (tos) for the historical and RCP scenarios are also provided in the "chl_tos_netcdfs.zip" file so that the driving environmental variables underlying growth potential can be examined. Antarctic krill are an ecologically and commercially important species in the Southern Ocean, and are also likely vulnerable to climate change. Initial habitat quality projections indicate that krill are vulnerable to warming sea surface temperatures (SST). However, krill are also highly sensitive to changes in food availability (mainly phytoplankton, approximated by satellite chlorophyll-a observations), which has yet to be included in habitat quality projections. |
author2 |
AADC (originator) AU/AADC > Australian Antarctic Data Centre, Australia (resourceProvider) |
format |
Dataset |
title |
Circumpolar Projections of Antarctic krill (Euphausia superba) growth potential |
title_short |
Circumpolar Projections of Antarctic krill (Euphausia superba) growth potential |
title_full |
Circumpolar Projections of Antarctic krill (Euphausia superba) growth potential |
title_fullStr |
Circumpolar Projections of Antarctic krill (Euphausia superba) growth potential |
title_full_unstemmed |
Circumpolar Projections of Antarctic krill (Euphausia superba) growth potential |
title_sort |
circumpolar projections of antarctic krill (euphausia superba) growth potential |
publisher |
Australian Ocean Data Network |
url |
https://researchdata.edu.au/circumpolar-projections-antarctic-growth-potential/1668612 https://data.aad.gov.au/metadata/records/AAS_4512_Antarctic_krill_growth_potential_projections_1 https://data.aad.gov.au/eds/5067/download https://secure3.aad.gov.au/proms/public/projects/report_project_public.cfm?project_no=AAS_4512 https://data.aad.gov.au/aadc/metadata/citation.cfm?entry_id=AAS_4512_Antarctic_krill_growth_potential_projections_1 https://secure3.aad.gov.au/proms/public/projects/report_project_public.cfm?project_no=4512 |
op_coverage |
Spatial: northlimit=-50; southlimit=-90; westlimit=-180; eastLimit=180 Temporal: From 1960-01-01 to 1989-12-31 |
long_lat |
ENVELOPE(-85.483,-85.483,-78.650,-78.650) ENVELOPE(-180,180,-50,-90) |
geographic |
Antarctic Atkinson Southern Ocean |
geographic_facet |
Antarctic Atkinson Southern Ocean |
genre |
Antarc* Antarctic Antarctic Krill Antarctica Euphausia superba Southern Ocean |
genre_facet |
Antarc* Antarctic Antarctic Krill Antarctica Euphausia superba Southern Ocean |
op_source |
https://data.aad.gov.au |
op_relation |
https://researchdata.edu.au/circumpolar-projections-antarctic-growth-potential/1668612 17173b87-9619-4fcf-97c1-0a5d61ec39c4 https://data.aad.gov.au/metadata/records/AAS_4512_Antarctic_krill_growth_potential_projections_1 https://data.aad.gov.au/eds/5067/download https://secure3.aad.gov.au/proms/public/projects/report_project_public.cfm?project_no=AAS_4512 https://data.aad.gov.au/aadc/metadata/citation.cfm?entry_id=AAS_4512_Antarctic_krill_growth_potential_projections_1 https://secure3.aad.gov.au/proms/public/projects/report_project_public.cfm?project_no=4512 |
_version_ |
1766259437524221952 |
spelling |
ftands:oai:ands.org.au::1668612 2023-05-15T13:53:57+02:00 Circumpolar Projections of Antarctic krill (Euphausia superba) growth potential AADC (originator) AU/AADC > Australian Antarctic Data Centre, Australia (resourceProvider) Spatial: northlimit=-50; southlimit=-90; westlimit=-180; eastLimit=180 Temporal: From 1960-01-01 to 1989-12-31 https://researchdata.edu.au/circumpolar-projections-antarctic-growth-potential/1668612 https://data.aad.gov.au/metadata/records/AAS_4512_Antarctic_krill_growth_potential_projections_1 https://data.aad.gov.au/eds/5067/download https://secure3.aad.gov.au/proms/public/projects/report_project_public.cfm?project_no=AAS_4512 https://data.aad.gov.au/aadc/metadata/citation.cfm?entry_id=AAS_4512_Antarctic_krill_growth_potential_projections_1 https://secure3.aad.gov.au/proms/public/projects/report_project_public.cfm?project_no=4512 unknown Australian Ocean Data Network https://researchdata.edu.au/circumpolar-projections-antarctic-growth-potential/1668612 17173b87-9619-4fcf-97c1-0a5d61ec39c4 https://data.aad.gov.au/metadata/records/AAS_4512_Antarctic_krill_growth_potential_projections_1 https://data.aad.gov.au/eds/5067/download https://secure3.aad.gov.au/proms/public/projects/report_project_public.cfm?project_no=AAS_4512 https://data.aad.gov.au/aadc/metadata/citation.cfm?entry_id=AAS_4512_Antarctic_krill_growth_potential_projections_1 https://secure3.aad.gov.au/proms/public/projects/report_project_public.cfm?project_no=4512 https://data.aad.gov.au biota oceans EUPHAUSIIDS (KRILL) EARTH SCIENCE BIOLOGICAL CLASSIFICATION ANIMALS/INVERTEBRATES ARTHROPODS CRUSTACEANS USE/FEEDING HABITATS BIOSPHERE ECOLOGICAL DYNAMICS SPECIES/POPULATION INTERACTIONS CLIMATE CHANGE IMPACT ASSESSMENT MODELS EARTH SCIENCE SERVICES MODELS Computer > Computer CLIMATE MODELS AMD/AU CEOS AMD OCEAN > SOUTHERN OCEAN GEOGRAPHIC REGION > POLAR CONTINENT > ANTARCTICA dataset ftands 2020-12-15T00:03:15Z This dataset represents modeled outputs and therefore problems with data collection do not apply directly. However, the OISST v2, SeaWiFS and Johnson et al. (2013) datasets, which were used for assessing model skill, are based off measurements (of SST or ocean colour, respectively) and analyses that have their own errors associated (see the respective datasets for more information). These data represent the results of the first study to use Earth System Model (ESM) outputs of SST and chlorophyll-a to simulate circumpolar krill growth potential for the recent past (1960-1989) and future climate change scenarios (2070-2099). Growth potential is obtained using an empirically-derived krill growth model (Atkinson et al. 2006, Limnol. Oceanogr.), where growth is modeled as a function of SST and chlorophyll-a. It serves as an approximation of habitat quality, as areas that support high growth rates are assumed to be good habitat (see Murphy et al., 2017, Sci Rep). To increase confidence in the future projections, ESMs were selected and weighted for each season based on their skill at reproducing observation-based krill growth potential for the recent past. First, eleven ESMs which provided SST and chlorophyll-a outputs were obtained from the Coupled Model Inter-comparison Project 5 archive. These included: CanESM2, CMCC-CESM, CNRM-CM5, GFL-ESM2G, GFDL-ESM2M, GISS-E2-H-CC, HadGEM2-CC, IPSL-CM5A-LR, MPI-ESM-MR, MRI-ESM1 and NorESM1-ME. For each ESM, seasonal surface averages of SST and chlorophyll-a were used to calculate growth potential for the historical scenario (1960-1989), which was then bilinearly interpolated on to the same 1°x1° grid. Satellite observation-based datasets for SST and chlorophyll-a were used to calculate observation-based growth potential for the recent past (1997-2010). These comprised seasonal surface averages of SST (from the OISST v2 daily dataset, 1/4⁰ horizontal resolution) and chlorophyll-a (the mean of the SeaWiFS and Johnson et al. (2013) corrected estimate of SeaWiFS daily datasets, 1/12⁰ horizontal resolution). Observation-based growth potential was then bilinearly interpolated onto the same grid as the ESMs. ESM skill for each season was subsequently assessed against observation-based growth potential using a Taylor Diagram. The ESMs were selected and weighted according to their performance to produce a weighted subset (see "ESM_weighting_method.pdf" file). Of the netcdfs provided, "hist_mean_ensemble.nc" represents the unweighted mean of seasonal growth potential, calculated from the initial ensemble of eleven ESMs for the historical scenario. The "hist_mean_subset.nc" file represents the analogous output of the weighted subset. Future projections of seasonal growth potential for Representative Concentration Pathways (RCPs) 4.5 and 8.5 were obtained using the weighted subset for the period of 2070-2099. These projected seasonal surface averages are provided in the "rcp45_mean_subset.nc" and "rcp85_mean_subset.nc" files. RCPs represent standard climate change scenarios developed by the Intergovernmental Panel on Climate Change, with 4.5 reflecting some mitigation of carbon emissions, and 8.5 being the "business as usual" scenario. Analogous netcdfs for the weighted subset outputs of chlorophyll-a (chl) and SST (tos) for the historical and RCP scenarios are also provided in the "chl_tos_netcdfs.zip" file so that the driving environmental variables underlying growth potential can be examined. Antarctic krill are an ecologically and commercially important species in the Southern Ocean, and are also likely vulnerable to climate change. Initial habitat quality projections indicate that krill are vulnerable to warming sea surface temperatures (SST). However, krill are also highly sensitive to changes in food availability (mainly phytoplankton, approximated by satellite chlorophyll-a observations), which has yet to be included in habitat quality projections. Dataset Antarc* Antarctic Antarctic Krill Antarctica Euphausia superba Southern Ocean Research Data Australia (Australian National Data Service - ANDS) Antarctic Atkinson ENVELOPE(-85.483,-85.483,-78.650,-78.650) Southern Ocean ENVELOPE(-180,180,-50,-90) |