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SCAR · Jan 6, 2025 · 8730e17 · 8730e17
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diff --git a/README.md b/README.md
@@ -74,17 +74,19 @@ for which there is no circumpolar output.
 
   - Charlie Plasman, Anton Van de Putte (Royal Belgian Institute of
     Natural Sciences, Université Libre de Bruxelles)
-  - Lucas Krüger (Instituto Antártico Chileno)
-  - Benjamin Merkel (Norwegian Polar Institute)
-  - Ryan Reisinger (University of Southampton)
-  - David Green, Benjamin Viola, Briannyn Woods, (Institute for Marine
-    and Antarctic Studies)
   - Salomé Fabri-Ruiz (Institut Français de Recherche pour
     l’Exploitation de la Mer)
   - Jennifer Freer, Huw Griffiths (British Antarctic Survey)
+  - David Green, Benjamin Viola, Briannyn Woods, (Institute for Marine
+    and Antarctic Studies)
   - Jean-Olivier Irisson (Institut de la Mer de Villefranche)
+  - Lucas Krüger (Instituto Antártico Chileno)
+  - Benjamin Merkel (Norwegian Polar Institute)
   - Matt Pinkerton (National Institute of Water and Atmospheric
     Research)
+  - Ryan Reisinger (University of Southampton)
+  - Giovanni Testa, Andrea Piñones (Centro de Investigación en Dinámica
+    de Ecosistemas Marinos de Altas Latitudes)
   - José Xavier (University of Coimbra, British Antarctic Survey)
   - Ben Raymond (Australian Antarctic Division)
 
@@ -103,7 +105,7 @@ Table of current taxonomic coverage:
 
 | Taxon                                    | N layers |
 | :--------------------------------------- | -------: |
-|                                          |        5 |
+|                                          |        7 |
 | Abatus (Pseudabatus) nimrodi             |        3 |
 | Abatus cavernosus                        |        3 |
 | Abatus cordatus                          |        3 |
@@ -201,9 +203,10 @@ Table of current taxonomic coverage:
 | Thysanoessa macrura                      |        1 |
 | Todarodes filippovae                     |        1 |
 | alien vascular plants                    |        1 |
+| benthic taxa                             |        1 |
 | marine predators                         |        5 |
 | sea ice algae                            |        5 |
-| <strong>Total</strong>                   |      431 |
+| <strong>Total</strong>                   |      434 |
 
 The publications from which model outputs have been sourced:
 
@@ -215,6 +218,7 @@ The publications from which model outputs have been sourced:
 | 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 |
+| Griffiths HJ, Meijers AJS, Bracegirdle TJ (2017) M … |        1 |
 | 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 |
@@ -224,7 +228,8 @@ The publications from which model outputs have been sourced:
 | 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 |
+| Testa G, Piñones A, Castro LR (2021) Physical and …  |        2 |
 | 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 |
-| <strong>Total</strong>                               |      431 |
+| <strong>Total</strong>                               |      434 |
diff --git a/metadata.csv b/metadata.csv
@@ -278,6 +278,7 @@ PANGAEA. 10.1594/PANGAEA.946773, 10.1594/PANGAEA.946772, 10.1594/PANGAEA.946769,
 "Fr2019-Protomyctophum_tenisoni-RCP85-2099","Fr2019-Protomyctophum_tenisoni-RCP85-2099_cog.tif","Protomyctophum tenisoni","net trawls","Maxent","habitat suitability",TRUE,,,,-180,180,-75,-35,0.25,0.25,"degrees","EPSG:4326",,"Future projections for year 2099 using models CESM1-BGC, CMCC-CESM1, GFDL-ESM2G, GFDL-ESM2M, HADGEM2-ES, IPSL-CM5A-LR, IPSL-CM5A-MR, MPI-ESM-MR","CC-BY 4.0","Freer JJ, Tarling GA, Collins MA, Partridge JC, Genner MJ (2019) Predicting future distributions of lanternfish, a significant ecological resource within the Southern Ocean. Diversity and Distributions. 10.1111/ddi.12934","See reference"
 "Gr2021-spawning_habitat_duration","Gr2021-spawning_habitat_duration_cog.tif","Euphausia superba","net trawls","mechanistic spawning habitat model","spawning habitat duration (weeks)",FALSE,,,,-180,180,-80.125,-39.875,0.25,0.25,"degrees","EPSG:4326",,,"CC-BY 4.0","Green DB, Bestley S, Corney SP, Trebilco R, Lehodey P, Hindell MA (2021) Modeling Antarctic krill circumpolar spawning habitat quality to identify regions with potential to support high larval production. Geophysical Research Letters. 10.1029/2020GL091206","Green D, Bestley S, Corney S, Trebilco R, Lehodey P, Hindell M (2020). Circumpolar Antarctic krill spawning habitat [Data set]. Institute for Marine and Antarctic Studies (IMAS), University of Tasmania (UTAS). 10.25959/XXGM-N693"
 "Gr2021-spawning_habitat_index","Gr2021-spawning_habitat_index_cog.tif","Euphausia superba","net trawls","mechanistic spawning habitat model","spawning habitat index",FALSE,,0.1,"mean error",-180,180,-80.125,-39.875,0.25,0.25,"degrees","EPSG:4326",,,"CC-BY 4.0","Green DB, Bestley S, Corney SP, Trebilco R, Lehodey P, Hindell MA (2021) Modeling Antarctic krill circumpolar spawning habitat quality to identify regions with potential to support high larval production. Geophysical Research Letters. 10.1029/2020GL091206","Green D, Bestley S, Corney S, Trebilco R, Lehodey P, Hindell M (2020). Circumpolar Antarctic krill spawning habitat [Data set]. Institute for Marine and Antarctic Studies (IMAS), University of Tasmania (UTAS). 10.25959/XXGM-N693"
+"Gr2017-species_turnover","Gr2017-species_turnover_cog.tif","benthic taxa","occurrences","numerical model","species turnover",TRUE,,,,-179.5,180.5,-81.5,-39.5,1,1,"degrees","EPSG:4326",,"Predictions in areas with low sampling effort (typically under ice shelves) should be treated with additional caution. Typically these have very low historical number species but this is likely to be exacerbated by lack of sampling effort, more so than in other areas","CC-BY 4.0","Griffiths HJ, Meijers AJS, Bracegirdle TJ (2017) More losers than winners in a century of future Southern Ocean seafloor warming. Nature Climate Change. https://doi.org/10.1038/nclimate3377","See reference"
 "Hi2023-Pygoscelis_adeliae","Hi2023-Pygoscelis_adeliae_cog.tif","Pygoscelis adeliae","animal tracking","boosted regression tree","habitat importance",FALSE,"CV",0.894666666666667,"AUC",-180,179.999999999877,-79.9999999999977,-40,0.0999999999999659,0.0999999999999943,"degrees","+proj=longlat +datum=WGS84","https://github.com/SCAR/RAATD/","The original publication reported model performance by taxon and stage, for taxa that had stage-specific models. The model performance reported here for those taxa is the average performance across the stage-specific models","CC-BY 4.0","Hindell MA, Reisinger RR, Ropert-Coudert Y, et al. (2020) Tracking of marine predators to protect Southern Ocean ecosystems. Nature. 10.1038/s41586-020-2126-y","See reference"
 "Hi2023-Arctocephalus_gazella","Hi2023-Arctocephalus_gazella_cog.tif","Arctocephalus gazella","animal tracking","boosted regression tree","habitat importance",FALSE,"CV",0.8625,"AUC",-180,179.999999999877,-79.9999999999977,-40,0.0999999999999659,0.0999999999999943,"degrees","+proj=longlat +datum=WGS84","https://github.com/SCAR/RAATD/","The original publication reported model performance by taxon and stage, for taxa that had stage-specific models. The model performance reported here for those taxa is the average performance across the stage-specific models","CC-BY 4.0","Hindell MA, Reisinger RR, Ropert-Coudert Y, et al. (2020) Tracking of marine predators to protect Southern Ocean ecosystems. Nature. 10.1038/s41586-020-2126-y","See reference"
 "Hi2023-Thalassoica_antarctica","Hi2023-Thalassoica_antarctica_cog.tif","Thalassoica antarctica","animal tracking","boosted regression tree","habitat importance",FALSE,"CV",0.836,"AUC",-180,179.999999999877,-79.9999999999977,-40,0.0999999999999659,0.0999999999999943,"degrees","+proj=longlat +datum=WGS84","https://github.com/SCAR/RAATD/","The original publication reported model performance by taxon and stage, for taxa that had stage-specific models. The model performance reported here for those taxa is the average performance across the stage-specific models","CC-BY 4.0","Hindell MA, Reisinger RR, Ropert-Coudert Y, et al. (2020) Tracking of marine predators to protect Southern Ocean ecosystems. Nature. 10.1038/s41586-020-2126-y","See reference"
@@ -428,6 +429,8 @@ PANGAEA. 10.1594/PANGAEA.946773, 10.1594/PANGAEA.946772, 10.1594/PANGAEA.946769,
 "Re2021-M4","Rei2021-M4_cog.tif","Megaptera novaeangliae","animal tracking","random forest","habitat suitability",FALSE,,0.782,"AUC",-180,179.999999999877,-79.9999999999977,-40,0.0999999999999658,0.0999999999999942,"degrees","EPSG:4326","https://github.com/ryanreisinger/megaPrediction","Habitat suitability according to model M4 in Reisinger et al. (2021). Performance is AUC using external validation data (catches/sightings), see Table 2 in Reisinger et al. (2021)","CC-BY 4.0","Reisinger RR, Friedlaender AS, Zerbini AN, Palacios DM, Andrews-Goff V, Dalla Rosa L, Double M, Findlay K, Garrigue C, How J, Jenner C, Jenner M-N, Mate B, Rosenbaum HC, Seakamela SM, Constantine R (2021) Combining regional habitat selection models for large-scale prediction: Circumpolar habitat selection of Southern Ocean humpback whales. Remote Sensing. 10.3390/rs13112074","See reference"
 "Re2021-M5","Rei2021-M5_cog.tif","Megaptera novaeangliae","animal tracking","random forest","habitat suitability",FALSE,,0.821,"AUC",-180,179.999999999877,-79.9999999999977,-40,0.0999999999999658,0.0999999999999942,"degrees","EPSG:4326","https://github.com/ryanreisinger/megaPrediction","Habitat suitability according to model M5 in Reisinger et al. (2021). Performance is AUC using external validation data (catches/sightings), see Table 2 in Reisinger et al. (2021)","CC-BY 4.0","Reisinger RR, Friedlaender AS, Zerbini AN, Palacios DM, Andrews-Goff V, Dalla Rosa L, Double M, Findlay K, Garrigue C, How J, Jenner C, Jenner M-N, Mate B, Rosenbaum HC, Seakamela SM, Constantine R (2021) Combining regional habitat selection models for large-scale prediction: Circumpolar habitat selection of Southern Ocean humpback whales. Remote Sensing. 10.3390/rs13112074","See reference"
 "Re2022-bioregions","Re2022-bioregions_cog.tif","marine predators","animal tracking","clustering, boosted regression tree","bioregions",FALSE,,,,-180,180,-78.8,-40,0.1,0.1,"degrees","+proj=longlat +datum=WGS84","https://github.com/ryanreisinger/soPredatorRegions","Bioregions are based on habitat importance of 17 species: Aptenodytes forsteri, Aptenodytes patagonicus, Arctocephalus gazella, Diomedea exulans, Eudyptes chrysolophus, Eudyptes schlegeli, Leptonychotes weddellii, Lobodon carcinophaga, Megaptera novaeangliae, Mirounga leonina, Phoebetria fusca, Phoebetria palpebrata, Procellaria aequinoctialis, Pygoscelis adeliae, Thalassarche chrysostoma, Thalassarche melanophris, Thalassoica antarctica","CC-BY 4.0","Reisinger R, Brooks C, Raymond B, Freer J, Cotté C, Xavier J, Trathan P, Bornemann H, Charrassin J-B, Costa D, Danis B, Hückstadt L, Jonsen I, Lea M-A, Torres L, Van de Putte A, Wotherspoon S, Friedlander A, Ropert-Coudert Y, Hindell M (2022) Predator-derived bioregions in the Southern Ocean: characteristics, drivers and representation in Marine Protected Areas. Biological Conservation. 10.1016/j.biocon.2022.109630","See reference"
+"Te2021-physical_regionalisation","Te2021-physical_regionalisation_cog.tif",,"physical environmental data","clustering","bioregions",FALSE,,,,-180,180,-78,-50,1,1,"degrees","EPSG:4326",,"The colour map used in publications is #e5194a #3cb34d #fee119 #4364d8 #f58231 #901eb4 #41d4f5 #ef32e8 #bfee46 #fabebe #469991 #e6bdff","CC-BY 4.0","Testa G, Piñones A, Castro LR (2021) Physical and biogeochemical regionalization of the Southern Ocean and the CCAMLR zone 48.1. Frontiers in Marine Science 10.3389/fmars.2021.592378","See reference"
+"Te2021-biogeochemical_regionalisation","Te2021-biogeochemical_regionalisation_cog.tif",,"biogeochemical data","clustering","bioregions",FALSE,,,,-180,180,-78,-50,1,1,"degrees","EPSG:4326",,"The colour map used in publications is #e5194a #3cb34d #fee119 #4364d8 #f58231 #901eb4 #41d4f5 #ef32e8 #bfee46 #fabebe #469991 #e6bdff #9a6227 #abffc3 #010077 #7f8000 #f4a362 #00ff01","CC-BY 4.0","Testa G, Piñones A, Castro LR (2021) Physical and biogeochemical regionalization of the Southern Ocean and the CCAMLR zone 48.1. Frontiers in Marine Science 10.3389/fmars.2021.592378","See reference"
 "Vi2023-SNPE_2011_03","Vi2023-SNPE_2011_03_cog.tif","Pagodroma nivea","animal tracking","boosted regression tree","habitat importance",FALSE,,,,-180,180,-90,-40,0.1,0.1,"degrees","EPSG:4326",,"This layer is monthly non-breeding habitat suitability for snow petrels breeding at Béchervaise and Filla Islands in Mar 2011. Layers here are as for Figure 5 in Viola et al. 2023","CC-BY 4.0","Viola B, Wienecke B, Green C-P, Corney C, Raymond B, Southwell C, Sumner MD, Virtue P, Wotherspoon S, Emmerson L (2023) Marine distribution and habitat use by snow petrels Pagodroma nivea in East Antarctica throughout the non-breeding period. Frontiers in Marine Science. 10.3389/fmars.2023.1278229","See reference"
 "Vi2023-SNPE_2011_04","Vi2023-SNPE_2011_04_cog.tif","Pagodroma nivea","animal tracking","boosted regression tree","habitat importance",FALSE,,,,-180,180,-90,-40,0.1,0.1,"degrees","EPSG:4326",,"This layer is monthly non-breeding habitat suitability for snow petrels breeding at Béchervaise and Filla Islands in Apr 2011. Layers here are as for Figure 5 in Viola et al. 2023","CC-BY 4.0","Viola B, Wienecke B, Green C-P, Corney C, Raymond B, Southwell C, Sumner MD, Virtue P, Wotherspoon S, Emmerson L (2023) Marine distribution and habitat use by snow petrels Pagodroma nivea in East Antarctica throughout the non-breeding period. Frontiers in Marine Science. 10.3389/fmars.2023.1278229","See reference"
 "Vi2023-SNPE_2011_05","Vi2023-SNPE_2011_05_cog.tif","Pagodroma nivea","animal tracking","boosted regression tree","habitat importance",FALSE,,,,-180,180,-90,-40,0.1,0.1,"degrees","EPSG:4326",,"This layer is monthly non-breeding habitat suitability for snow petrels breeding at Béchervaise and Filla Islands in May 2011. Layers here are as for Figure 5 in Viola et al. 2023","CC-BY 4.0","Viola B, Wienecke B, Green C-P, Corney C, Raymond B, Southwell C, Sumner MD, Virtue P, Wotherspoon S, Emmerson L (2023) Marine distribution and habitat use by snow petrels Pagodroma nivea in East Antarctica throughout the non-breeding period. Frontiers in Marine Science. 10.3389/fmars.2023.1278229","See reference"