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Morato, Telmo; González-Irusta, José Manuel; Domínguez-Carrió, Carlos; Wei, C; Davies, A; Sweetman, Andrew K; Taranto, A H; Beazley, Lindsay; García-Alegre, A; Grehan, Anthony J; Laffargue, P; Javier Murillo, F; Sacau, M; Vaz, S; Kenchington, Ellen L; Arnaud-Haond, Sophie; Callery, Oisín; Chimienti, G; Cordes, E; Egilsdottir, Hronn; Freiwald, André; Gasbarro, R; Gutierrez-Zárate, C; Gianni, M; Gilkinson, Kent; Wareham Hayes, V E; Hebbeln, Dierk; Hedges, K; Henry, Lea Anne; Johnson, Devin S; Koen-Alonso, M; Lirette, C; Mastrototaro, F; Menot, Lenaick; Molodtsova, Tina; Durán Muñoz, P; Orejas, Covadonga; Pennino, Maria Grazia; Puerta, P; Ragnarsson, Stefan Aki; Ramiro-Sánchez, Berta; Rice, J; Rivera, Jaime; Roberts, J Murray; Ross, Steve W; Rueda, José Luis; Sampaio, Íris; Snelgrove, Paul V R; Stirling, David; Treble, M A; Urra, Javier; Vad, Johanne; van Oevelen, Dick; Watling, L; Walkusz, Wojciech; Wienberg, Claudia; Woillez, M; Levin, L A; Carreiro-Silva, Marina (2019): Climate-induced changes in the suitable habitat of cold-water corals and commercially important deep-sea fishes in the North Atlantic [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.910319

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Abstract:
We used environmental niche modelling along with the best available species occurrence data and environmental parameters to model habitat suitability for key cold-water coral and commercially important deep-sea fish species under present-day (1951-2000) environmental conditions and to forecast changes under severe, high emissions future (2081-2100) climate projections (RCP8.5 scenario) for the North Atlantic Ocean (from 18°N to 76°N and 36°E to 98°W). The VME indicator taxa included Lophelia pertusa , Madrepora oculata, Desmophyllum dianthus, Acanela arbuscula, Acanthogorgia armata, and Paragorgia arborea. The six deep-sea fish species selected were: Coryphaenoides rupestris, Gadus morhua, blackbelly Helicolenus dactylopterus, Hippoglossoides platessoides, Reinhardtius hippoglossoides, and Sebastes mentella. We used an ensemble modelling approach employing three widely-used modelling methods: the Maxent maximum entropy model, Generalized Additive Models, and Random Forest.
This dataset contains:
1) Predicted habitat suitability index under present-day (1951-2000) and future (2081-2100; RCP8.5) environmental conditions for twelve deep-sea species in the North Atlantic Ocean, using an ensemble modelling approach. 
2) Climate-induced changes in the suitable habitat of twelve deep-sea species in the North Atlantic Ocean, as determined by binary maps built with an ensemble modelling approach and the 10-percentile training presence logistic (10th percentile) threshold.
3) Forecasted present-day suitable habitat loss (value=-1), gain (value=1), and acting as climate refugia (value=2) areas under future (2081-2100; RCP8.5) environmental conditions for twelve deep-sea species in the North Atlantic Ocean. Areas were identified from binary maps built with an ensemble modelling approach and two thresholds: 10-percentile training presence logistic threshold (10th percentile) and maximum sensitivity and specificity (MSS). Refugia areas are those areas predicted as suitable both under present-day and future conditions. All predictions were projected with the Albers equal-area conical projection centred in the middle of the study area. The grid cell resolution is of 3x3 km.
Keyword(s):
Climate change; cold-water corals; Deep-sea; fisheries; fishes; habitat suitability modelling; octocorals; scleractinians; species distribution models; vulnerable marine ecosystems
Related to:
Morato, Telmo; González-Irusta, José Manuel; Domínguez-Carrió, Carlos; Wei, Chih-Lin; Davies, Andrew; Sweetman, Andrew K; Taranto, Gerald; Beazley, Lindsay; García-Alegre, A; Grehan, Anthony J; Laffargue, P; Murillo, Francisco Javier; Sacau, M; Vaz, S; Kenchington, Ellen L; Arnaud-Haond, Sophie; Callery, Oisín; Chimienti, G; Cordes, E; Egilsdottir, Hronn; Freiwald, André; Gasbarro, R; Gutierrez-Zárate, C; Gianni, M; Gilkinson, Kent; Wareham Hayes, V E; Hebbeln, Dierk; Hedges, K; Henry, Lea-Anne; Johnson, David; Koen-Alonso, M; Lirette, C; Mastrototaro, F; Menot, Lenaick; Molodtsova, Tina; Durán Muñoz, P; Orejas, Covadonga; Pennino, Maria Grazia; Puerta, P; Ragnarsson, Stefan Aki; Ramiro-Sánchez, Berta; Rice, J; Rivera, Jesús; Roberts, J Murray; Ross, Steve W; Rueda, José Luis; Sampaio, Íris; Snelgrove, Paul V R; Stirling, David; Treble, M A; Urra, Javier; Vad, Johanne; van Oevelen, Dick; Watling, L; Walkusz, Wojciech; Wienberg, Claudia; Woillez, M; Levin, Lisa A; Carreiro-Silva, Marina (2020): Climate-induced changes in the suitable habitat of cold-water corals and commercially important deep-sea fishes in the North Atlantic. Global Change Biology, https://doi.org/10.1111/gcb.14996
Project(s):
A Trans-Atlantic assessment and deep-water ecosystem-based spatial management plan for Europe (ATLAS)
Funding:
Horizon 2020 (H2020), grant/award no. 678760: A Trans-Atlantic assessment and deep-water ecosystem-based spatial management plan for Europe
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
1 File nameFile nameMorato, Telmo
2 File formatFile formatMorato, Telmo
3 File sizeFile sizekByteMorato, Telmo
4 Uniform resource locator/link to fileURL fileMorato, Telmo
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Size:
384 data points

Data

Download dataset as tab-delimited text — use the following character encoding:

1 
File name		2 
File format		3 
File size [kByte]		4 
URL file
Acanella_arbuscula_Binomial_10th_Futasc36976Acanella_arbuscula_Binomial_10th_Fut.asc
Acanella_arbuscula_Binomial_10th_Presasc36976Acanella_arbuscula_Binomial_10th_Pres.asc
Acanella_arbuscula_Binomial_MSS_Futasc36976Acanella_arbuscula_Binomial_MSS_Fut.asc
Acanella_arbuscula_Binomial_MSS_Presasc36976Acanella_arbuscula_Binomial_MSS_Pres.asc
Acanella_arbuscula_GainLossRef_10thasc37131Acanella_arbuscula_GainLossRef_10th.asc
Acanella_arbuscula_GainLossRef_MSSasc37224Acanella_arbuscula_GainLossRef_MSS.asc
Acanella_arbuscula_HSI_Ensemble_futasc97533Acanella_arbuscula_HSI_Ensemble_fut.asc
Acanella_arbuscula_HSI_Ensemble_presasc97057Acanella_arbuscula_HSI_Ensemble_pres.asc
Acanthogorgia_armata_Binomial_10th_Futasc36976Acanthogorgia_armata_Binomial_10th_Fut.asc
Acanthogorgia_armata_Binomial_10th_Presasc36976Acanthogorgia_armata_Binomial_10th_Pres.asc
Acanthogorgia_armata_Binomial_MSS_Futasc36976Acanthogorgia_armata_Binomial_MSS_Fut.asc
Acanthogorgia_armata_Binomial_MSS_Presasc36976Acanthogorgia_armata_Binomial_MSS_Pres.asc
Acanthogorgia_armata_GainLossRef_10thasc37054Acanthogorgia_armata_GainLossRef_10th.asc
Acanthogorgia_armata_GainLossRef_MSSasc37091Acanthogorgia_armata_GainLossRef_MSS.asc
Acanthogorgia_armata_HSI_Ensemble_futasc99459Acanthogorgia_armata_HSI_Ensemble_fut.asc
Acanthogorgia_armata_HSI_Ensemble_presasc98876Acanthogorgia_armata_HSI_Ensemble_pres.asc
Coryphaenoides_rupestris_Binomial_10th_Futasc36976Coryphaenoides_rupestris_Binomial_10th_Fut.asc
Coryphaenoides_rupestris_Binomial_10th_Presasc36976Coryphaenoides_rupestris_Binomial_10th_Pres.asc
Coryphaenoides_rupestris_Binomial_MSS_Futasc36976Coryphaenoides_rupestris_Binomial_MSS_Fut.asc
Coryphaenoides_rupestris_Binomial_MSS_Presasc36976Coryphaenoides_rupestris_Binomial_MSS_Pres.asc
Coryphaenoides_rupestris_GainLossRef_10thasc37000Coryphaenoides_rupestris_GainLossRef_10th.asc
Coryphaenoides_rupestris_GainLossRef_MSSasc37025Coryphaenoides_rupestris_GainLossRef_MSS.asc
Coryphaenoides_rupestris_HSI_Ensemble_futasc99991Coryphaenoides_rupestris_HSI_Ensemble_fut.asc
Coryphaenoides_rupestris_HSI_Ensemble_presasc99993Coryphaenoides_rupestris_HSI_Ensemble_pres.asc
Desmophyllum_dianthus_Binomial_10th_Futasc36976Desmophyllum_dianthus_Binomial_10th_Fut.asc
Desmophyllum_dianthus_Binomial_10th_Presasc36976Desmophyllum_dianthus_Binomial_10th_Pres.asc
Desmophyllum_dianthus_Binomial_MSS_Futasc36976Desmophyllum_dianthus_Binomial_MSS_Fut.asc
Desmophyllum_dianthus_Binomial_MSS_Presasc36976Desmophyllum_dianthus_Binomial_MSS_Pres.asc
Desmophyllum_dianthus_GainLossRef_10thasc37081Desmophyllum_dianthus_GainLossRef_10th.asc
Desmophyllum_dianthus_GainLossRef_MSSasc37106Desmophyllum_dianthus_GainLossRef_MSS.asc
Desmophyllum_dianthus_HSI_Ensemble_futasc97106Desmophyllum_dianthus_HSI_Ensemble_fut.asc
Desmophyllum_dianthus_HSI_Ensemble_presasc97353Desmophyllum_dianthus_HSI_Ensemble_pres.asc
Gadus_morhua_Binomial_10th_Futasc36976Gadus_morhua_Binomial_10th_Fut.asc
Gadus_morhua_Binomial_10th_Presasc36976Gadus_morhua_Binomial_10th_Pres.asc
Gadus_morhua_Binomial_MSS_Futasc36976Gadus_morhua_Binomial_MSS_Fut.asc
Gadus_morhua_Binomial_MSS_Presasc36976Gadus_morhua_Binomial_MSS_Pres.asc
Gadus_morhua_GainLossRef_10thasc37089Gadus_morhua_GainLossRef_10th.asc
Gadus_morhua_GainLossRef_MSSasc37095Gadus_morhua_GainLossRef_MSS.asc
Gadus_morhua_HSI_Ensemble_futasc100177Gadus_morhua_HSI_Ensemble_fut.asc
Gadus_morhua_HSI_Ensemble_presasc99918Gadus_morhua_HSI_Ensemble_pres.asc
Helicolenus_dactylopterus_Binomial_10th_Futasc36976Helicolenus_dactylopterus_Binomial_10th_Fut.asc
Helicolenus_dactylopterus_Binomial_10th_Presasc36976Helicolenus_dactylopterus_Binomial_10th_Pres.asc
Helicolenus_dactylopterus_Binomial_MSS_Futasc36976Helicolenus_dactylopterus_Binomial_MSS_Fut.asc
Helicolenus_dactylopterus_Binomial_MSS_Pres_NoMedasc36976Helicolenus_dactylopterus_Binomial_MSS_Pres_NoMed.asc
Helicolenus_dactylopterus_GainLossRef_10thasc37003Helicolenus_dactylopterus_GainLossRef_10th.asc
Helicolenus_dactylopterus_GainLossRef_MSSasc37001Helicolenus_dactylopterus_GainLossRef_MSS.asc
Helicolenus_dactylopterus_HSI_Ensemble_futasc99763Helicolenus_dactylopterus_HSI_Ensemble_fut.asc
Helicolenus_dactylopterus_HSI_Ensemble_presasc100019Helicolenus_dactylopterus_HSI_Ensemble_pres.asc
Hippoglossoides_platessoides_Binomial_10th_Futasc36976Hippoglossoides_platessoides_Binomial_10th_Fut.asc
Hippoglossoides_platessoides_Binomial_10th_Presasc36976Hippoglossoides_platessoides_Binomial_10th_Pres.asc
Hippoglossoides_platessoides_Binomial_MSS_Futasc36976Hippoglossoides_platessoides_Binomial_MSS_Fut.asc
Hippoglossoides_platessoides_Binomial_MSS_Presasc36976Hippoglossoides_platessoides_Binomial_MSS_Pres.asc
Hippoglossoides_platessoides_GainLossRef_10thasc37091Hippoglossoides_platessoides_GainLossRef_10th.asc
Hippoglossoides_platessoides_GainLossRef_MSSasc37087Hippoglossoides_platessoides_GainLossRef_MSS.asc
Hippoglossoides_platessoides_HSI_Ensemble_futasc99971Hippoglossoides_platessoides_HSI_Ensemble_fut.asc
Hippoglossoides_platessoides_HSI_Ensemble_presasc99634Hippoglossoides_platessoides_HSI_Ensemble_pres.asc
Lophelia_pertusa_Binomial_10th_Futasc36976Lophelia_pertusa_Binomial_10th_Fut.asc
Lophelia_pertusa_Binomial_10th_Presasc36976Lophelia_pertusa_Binomial_10th_Pres.asc
Lophelia_pertusa_Binomial_MSS_Futasc36976Lophelia_pertusa_Binomial_MSS_Fut.asc
Lophelia_pertusa_Binomial_MSS_Presasc36976Lophelia_pertusa_Binomial_MSS_Pres.asc
Lophelia_pertusa_GainLossRef_10thasc37122Lophelia_pertusa_GainLossRef_10th.asc
Lophelia_pertusa_GainLossRef_MSSasc37159Lophelia_pertusa_GainLossRef_MSS.asc
Lophelia_pertusa_HSI_Ensemble_futasc97850Lophelia_pertusa_HSI_Ensemble_fut.asc
Lophelia_pertusa_HSI_Ensemble_presasc97925Lophelia_pertusa_HSI_Ensemble_pres.asc
Madrepora_oculata_Binomial_10th_Futasc36976Madrepora_oculata_Binomial_10th_Fut.asc
Madrepora_oculata_Binomial_10th_Presasc36976Madrepora_oculata_Binomial_10th_Pres.asc
Madrepora_oculata_Binomial_MSS_Futasc36976Madrepora_oculata_Binomial_MSS_Fut.asc
Madrepora_oculata_Binomial_MSS_Presasc36976Madrepora_oculata_Binomial_MSS_Pres.asc
Madrepora_oculata_GainLossRef_10thasc37055Madrepora_oculata_GainLossRef_10th.asc
Madrepora_oculata_GainLossRef_MSSasc37073Madrepora_oculata_GainLossRef_MSS.asc
Madrepora_oculata_HSI_Ensemble_futasc97493Madrepora_oculata_HSI_Ensemble_fut.asc
Madrepora_oculata_HSI_Ensemble_presasc97735Madrepora_oculata_HSI_Ensemble_pres.asc
Paragorgia_arborea_Binomial_10th_Futasc36976Paragorgia_arborea_Binomial_10th_Fut.asc
Paragorgia_arborea_Binomial_10th_Presasc36976Paragorgia_arborea_Binomial_10th_Pres.asc
Paragorgia_arborea_Binomial_MSS_Futasc36976Paragorgia_arborea_Binomial_MSS_Fut.asc
Paragorgia_arborea_Binomial_MSS_Presasc36976Paragorgia_arborea_Binomial_MSS_Pres.asc
Paragorgia_arborea_GainLossRef_10thasc37068Paragorgia_arborea_GainLossRef_10th.asc
Paragorgia_arborea_GainLossRef_MSSasc37115Paragorgia_arborea_GainLossRef_MSS.asc
Paragorgia_arborea_HSI_Ensemble_futasc100204Paragorgia_arborea_HSI_Ensemble_fut.asc
Paragorgia_arborea_HSI_Ensemble_presasc99610Paragorgia_arborea_HSI_Ensemble_pres.asc
Reinhardtius_hippoglossoides_Binomial_10th_Futasc36976Reinhardtius_hippoglossoides_Binomial_10th_Fut.asc
Reinhardtius_hippoglossoides_Binomial_10th_Presasc36976Reinhardtius_hippoglossoides_Binomial_10th_Pres.asc
Reinhardtius_hippoglossoides_Binomial_MSS_Futasc36976Reinhardtius_hippoglossoides_Binomial_MSS_Fut.asc
Reinhardtius_hippoglossoides_Binomial_MSS_Presasc36976Reinhardtius_hippoglossoides_Binomial_MSS_Pres.asc
Reinhardtius_hippoglossoides_GainLossRef_10thasc37030Reinhardtius_hippoglossoides_GainLossRef_10th.asc
Reinhardtius_hippoglossoides_GainLossRef_MSSasc37036Reinhardtius_hippoglossoides_GainLossRef_MSS.asc
Reinhardtius_hippoglossoides_HSI_Ensemble_futasc99617Reinhardtius_hippoglossoides_HSI_Ensemble_fut.asc
Reinhardtius_hippoglossoides_HSI_Ensemble_presasc99467Reinhardtius_hippoglossoides_HSI_Ensemble_pres.asc
Sebastes_mentella_Binomial_10th_Futasc36976Sebastes_mentella_Binomial_10th_Fut.asc
Sebastes_mentella_Binomial_10th_Presasc36976Sebastes_mentella_Binomial_10th_Pres.asc
Sebastes_mentella_Binomial_MSS_Futasc36976Sebastes_mentella_Binomial_MSS_Fut.asc
Sebastes_mentella_Binomial_MSS_Presasc36976Sebastes_mentella_Binomial_MSS_Pres.asc
Sebastes_mentella_GainLossRef_10thasc37006Sebastes_mentella_GainLossRef_10th.asc
Sebastes_mentella_GainLossRef_MSSasc37016Sebastes_mentella_GainLossRef_MSS.asc
Sebastes_mentella_HSI_Ensemble_futasc100173Sebastes_mentella_HSI_Ensemble_fut.asc
Sebastes_mentella_HSI_Ensemble_presasc100029Sebastes_mentella_HSI_Ensemble_pres.asc