This repository provides access to a collection of ecological model outputs (species distribution and similar models) from Antarctica and the Southern Ocean. It is a project of the SCAR Expert Group on Biodiversity Informatics in conjunction with ADVANCE (Royal Belgian Institute of Natural Sciences) and the Integrated Digital East Antarctica program at the Australian Antarctic Division.
Please note: the inclusion of a layer in this collection is not an endorsement of its quality or suitability for your intended purpose. Users should consult the associated publication for details on the source data and modelling processes. We encourage users to contact the original publication authors to discuss their intended use of these layers.
Model outputs are provided as cloud-optimized geotiffs (COGs), with generally one file per species. The COG will have multiple bands if the original model predictions include uncertainty estimates or multiple model output variables. Each output has been kept on its original coordinate reference system (map projection) and spatial resolution.
Data layers can be downloaded from Zenodo (zipped format, one zip per publication) or from Source Cooperative (individual layers, not zipped). For practical reasons, the Source Cooperative collection is updated on a rolling basis (layers are added as they become available) but Zenodo is updated at less frequent intervals.
The layers in this collection have been re-released under their original license where applicable, or a CC-BY licence otherwise. Please cite when using, and also cite the original data sources used. For example:
Kovacs J (2020) A model of my favourite Southern Ocean species. Journal of Southern Ocean Stuff 123:1–10. Data obtained from the SCAR DistAnt Ecological Model Output Repository, 10.5281/zenodo.10910075
Individual data sources might have varying licence conditions: consult
the licence field for details.
If you have generated some model outputs that would be suitable for this collection, or are aware of some that we haven’t yet included, please open an issue and let us know.
The focus for this repository — at least initially — is on circumpolar layers that encompass the whole Southern Ocean or whole Antarctic continent. However, regional outputs that cover smaller domains will be considered, particularly if they relate to a taxon or output variable for which there is no circumpolar output.
There is a table of minimal metadata that describes the
layers in the collection. This metadata is intended to be sufficient for
users to find potential layers of interest, and make an initial
evaluation of their high-level characteristics such as taxonomic
details, spatial coverage and resolution, and model output types. Our
metadata is NOT intended to provide a comprehensive description of each
layer: users are referred to the original publication for that level of
detail (see the layer’s reference entry).
Table of current taxonomic coverage:
| Taxon | N layers |
|---|---|
| 5 | |
| Abatus (Pseudabatus) nimrodi | 3 |
| Abatus cavernosus | 3 |
| Abatus cordatus | 3 |
| Abatus curvidens | 3 |
| Abatus ingens | 3 |
| Abatus koehleri | 3 |
| Abatus philippii | 3 |
| Abatus shackletoni | 3 |
| Alluroteuthis antarcticus | 1 |
| Amphipneustes lorioli | 3 |
| Amphipneustes rostratus | 3 |
| Amphipneustes similis | 3 |
| Antrechinus mortenseni | 3 |
| Antrechinus nordenskjoldi | 3 |
| Apatopygus recens | 3 |
| Aptenodytes forsteri | 1 |
| Aptenodytes patagonicus | 1 |
| Arbacia dufresnii | 3 |
| Arctocephalus gazella | 1 |
| Austrocidaris canaliculata | 3 |
| Balaenoptera bonaerensis | 12 |
| Balaenoptera musculus intermedia | 12 |
| Balaenoptera physalus | 12 |
| Bathylagus sp. | 2 |
| Bathyteuthis abyssicola | 1 |
| Brachysternaster chesheri | 3 |
| Brisaster antarcticus | 3 |
| Ctenocidaris (Eurocidaris) nutrix | 3 |
| Ctenocidaris geliberti | 3 |
| Ctenocidaris perrieri | 3 |
| Ctenocidaris rugosa | 3 |
| Ctenocidaris speciosa | 3 |
| Ctenocidaris spinosa | 3 |
| Dermechinus horridus | 3 |
| Diomedea dabbenena | 16 |
| Diomedea exulans | 17 |
| Doryteuthis gahi | 1 |
| Echinoidea | 3 |
| Electrona antarctica | 7 |
| Electrona carlsbergi | 7 |
| Eudyptes chrysolophus.Eudyptes schlegeli | 1 |
| Euphausia crystallorophias | 2 |
| Euphausia superba | 4 |
| Euphausia vallentini | 1 |
| Galiteuthis glacialis | 1 |
| Gonatus antarcticus | 1 |
| Goniocidaris (Aspidocidaris) parasol | 3 |
| Goniocidaris (Goniocidaris) umbraculum | 3 |
| Gymnoscopelus bolini | 5 |
| Gymnoscopelus braueri | 7 |
| Gymnoscopelus fraseri | 7 |
| Gymnoscopelus nicholsi | 7 |
| Gymnoscopelus opisthopterus | 5 |
| Histioteuthis atlantica | 1 |
| Histioteuthis eltaninae | 1 |
| Homalocidaris gigantea | 3 |
| Hygrosoma luculentum | 3 |
| Kondakovia longimana | 1 |
| Krefftichthys anderssoni | 7 |
| Leptonychotes weddellii | 1 |
| Lobodon carcinophaga | 1 |
| Macronectes giganteus | 16 |
| Macronectes halli | 16 |
| Martialia hyadesi | 1 |
| Megaptera novaeangliae | 18 |
| Mesonychoteuthis hamiltoni | 1 |
| Mirounga leonina | 1 |
| Moroteuthis ingens | 1 |
| Moroteuthis robsoni | 1 |
| Notocidaris gaussensis | 3 |
| Notocidaris mortenseni | 3 |
| Notocidaris platyacantha | 3 |
| Pagodroma nivea | 16 |
| Phoebetria fusca | 1 |
| Phoebetria palpebrata | 1 |
| Procellaria aequinoctialis | 17 |
| Protomyctophum bolini | 7 |
| Protomyctophum tenisoni | 7 |
| Pseudechinus huttoni | 3 |
| Pseudechinus magellanicus | 3 |
| Pseudechinus marionis | 3 |
| Pseudechinus novaezealandiae | 3 |
| Psychroteuthis glacialis | 1 |
| Pygoscelis adeliae | 1 |
| Rhynchocidaris triplopora | 3 |
| Schizocosmus abatoides | 3 |
| Slosarczykovia circumantarctica | 1 |
| Species richness | 1 |
| Sterechinus dentifer | 3 |
| Sterechinus diadema | 3 |
| Sterechinus neumayeri | 3 |
| Thalassarche chrysostoma | 17 |
| Thalassarche melanophris | 17 |
| Thalassoica antarctica | 1 |
| Thysanoessa macrura | 1 |
| Todarodes filippovae | 1 |
| alien vascular plants | 1 |
| marine predators | 5 |
| sea ice algae | 5 |
| Total | 431 |
The publications from which model outputs have been sourced:
| Reference | N layers |
|---|---|
| Chown SL, Huiskes AHL, Gremmen NJM, Lee JE, Teraud … | 1 |
| Cuzin-Roudy J, Irisson J-O, Penot F, Kawaguchi S, … | 4 |
| El-Gabbas A, Van Opzeeland I, Burkhardt E, Boebel … | 48 |
| Fabri-Ruiz S, Danis B, Navarro N, Koubbi P, Laffon … | 126 |
| Freer JJ, Tarling GA, Collins MA, Partridge JC, Ge … | 50 |
| Green DB, Bestley S, Corney SP, Trebilco R, Lehode … | 2 |
| Hindell MA, Reisinger RR, Ropert-Coudert Y, et al. … | 20 |
| Krüger L, Ramos JA, Xavier JC, Grémillet D, Gonzál … | 112 |
| Lee JR, Raymond B, Bracegirdle TJ, Chadès I, Fulle … | 2 |
| Leihy RI, Coetzee BWT, Morgan F, Raymond B, Shaw J … | 2 |
| Merkel B, Trathan P, Thorpe S, Murphy EJ, Pehlke H … | 2 |
| Pinkerton MH, Hayward A (2021) Estimating variabil … | 5 |
| Raymond B (2014) Pelagic Regionalisation. In: de B … | 1 |
| Reisinger R, Brooks C, Raymond B, Freer J, Cotté C … | 1 |
| Reisinger RR, Friedlaender AS, Zerbini AN, Palacio … | 5 |
| Viola B, Wienecke B, Green C-P, Corney C, Raymond … | 16 |
| Woods BL, Van de Putte AP, Hindell MA, Raymond B, … | 18 |
| Xavier JC, Raymond B, Jones DC, Griffiths H (2016) … | 16 |
| Total | 431 |