ATLAS Deliverable 3.3: Biodiversity, biogeography and GOODS classification system under current climate conditions and future IPCC scenarios

Major knowledge gaps and a lack of refined models and cost-effective tools to monitor and predict biodiversity delay agreement and implementation of biodiversity management policies at the highest levels. These delays will be reduced through cross-sectoral, multi-stakeholder trans-Atlantic datashari...

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Main Authors: Morato, T, González-Irusta, JM, Dominguez-Carrió, C, Wei, C-L, Davies, A, Sweetman, AK, Taranto, GH, Beazley, L, García-Alegre, A, Grehan, A, Laffargue, P, Murillo, FJ, Sacau, M, Vaz, S, Kenchington, E, Arnaud-Haond, S, Callery, O, Chimienti, G, Cordes, E, Egilsdottir, H, Freiwald, A, Gasbarro, R, Gianni, M, Gilkinson, K, Wareham Hayes, VE, Hebbeln, D, Hedges, K, Henry, L-A, Kazanidis, G, Koen-Alonso, M, Lirette, C, Mastrototaro, F, Menot, L, Molodtsova, T, Durán Muñoz, P, Murton, B, Orejas, C, Pennino, MG, Puerta, P, Ragnarsson, SA, Ramiro-Sánchez, B, Rice, J, Rivera, J, Roberts, JM, Rodrigues, L, Ross, SW, Rueda, JL, Snelgrove, P, Stirling, D, Treble, M, Urra, J, Vad, J, Watling, L, Walkusz, W, Wang, Z, Wienberg, C, Woillez, M, Levin, LA, Neat, F, Das, D, Fauconnet, L, Viegas, C, Afonso, P, Menezes, G, Pinho, MR, Silva, H, Rosa, A, Catarino, D, Giacomello, E, Guijarro, J, Cleland, J, Yeo, I, Xavier, JR, Sampaio, I, Spearman, J, Victorero, L, Messing, CG, Bilan, M, Blasco-Ferre, J, Bourillet, J-F, de Chambure, L, Davies, JS, Frank, N, Guillaumont, B, Georgoulas, K, Berx, B, Olu, K, Ramos, M, Ramalho, L, Renones, O, Caballero, JA, Tempera, F, Tourolle, J, Utrilla, O, van den Beld, I, Yashayaev, I, Serrano, A, Grasshoff, M, Rochette, S, Pham, CK, Carreiro-Silva, M
Format: Article in Journal/Newspaper
Language:unknown
Published: Zenodo 2021
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Online Access:https://dx.doi.org/10.5281/zenodo.4658501
https://zenodo.org/record/4658501
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description Major knowledge gaps and a lack of refined models and cost-effective tools to monitor and predict biodiversity delay agreement and implementation of biodiversity management policies at the highest levels. These delays will be reduced through cross-sectoral, multi-stakeholder trans-Atlantic datasharing and integration of ocean mixing and food supply into biodiversity maps. The main vision of WP3 Biodiversity and Biogeography is to conduct pilot studies to validate robust and cost-effective techniques to minimise uncertainty in deep ocean biodiversity and biogeography assessment. At international levels, the Global Open Oceans and Deep Seabed (GOODS) classification scheme is a decision-support tool to help safeguard marine biodiversity, support the ecosystem approach, marine spatial management and the design of MPA networks in national waters and in the international High Seas, thereby helping nations implement global policies enshrined by UNCLOS (e.g. ABNJs), the FAO (e.g. VMEs) and the CBD (e.g. EBSAs). GOODS integrates layers of physical and biological information to delineate biogeographic provinces as entities of flora, fauna and environmental settings. It was later adapted for ABNJ waters >800 m deep, delineating a “Northern Atlantic boreal” and a “North Atlantic” province based on distinct patterns of particulate organic carbon flux and water temperatures. However, the adapted scheme now needs further refinement in light of policy drivers such as the VMEs and EBSAs as it lacks input from structurally complex seabed environments such as CWC reefs, sponge grounds and hydrothermal vents that may also meet EBSA and VME criteria. It could also be substantially improved with input from the latest ocean models integrating horizontal and vertical mixing as water mass characteristics are critical for GOODS boundaries and for species distribution models (SDMs) to predict occurrences of cold-water corals, sponges and fish. Yet even SDMs that integrate larval tracking are still overly simplistic and inaccurate, and at best they use coarse estimates of surface primary production to proxy seafloor food supply. In this deliverable, ATLAS used a combination of techniques, along with the best available information along with knowledge developments made by WP1 and WP2 and new data gathered by WP3 to improve the understanding of deep-sea the biodiversity and biogeographic patterns of sensitive deepwater ecosystems and deep-sea fish in the North Atlantic and forecast changes under IPCC 21st century scenarios of water mass structure and ocean currents.
format Article in Journal/Newspaper
author Morato, T
González-Irusta, JM
Dominguez-Carrió, C
Wei, C-L
Davies, A
Sweetman, AK
Taranto, GH
Beazley, L
García-Alegre, A
Grehan, A
Laffargue, P
Murillo, FJ
Sacau, M
Vaz, S
Kenchington, E
Arnaud-Haond, S
Callery, O
Chimienti, G
Cordes, E
Egilsdottir, H
Freiwald, A
Gasbarro, R
Gianni, M
Gilkinson, K
Wareham Hayes, VE
Hebbeln, D
Hedges, K
Henry, L-A
Kazanidis, G
Koen-Alonso, M
Lirette, C
Mastrototaro, F
Menot, L
Molodtsova, T
Durán Muñoz, P
Murton, B
Orejas, C
Pennino, MG
Puerta, P
Ragnarsson, SA
Ramiro-Sánchez, B
Rice, J
Rivera, J
Roberts, JM
Rodrigues, L
Ross, SW
Rueda, JL
Snelgrove, P
Stirling, D
Treble, M
Urra, J
Vad, J
Watling, L
Walkusz, W
Wang, Z
Wienberg, C
Woillez, M
Levin, LA
Neat, F
Das, D
Fauconnet, L
Viegas, C
Afonso, P
Menezes, G
Pinho, MR
Silva, H
Rosa, A
Catarino, D
Giacomello, E
Guijarro, J
Cleland, J
Yeo, I
Xavier, JR
Sampaio, I
Spearman, J
Victorero, L
Messing, CG
Bilan, M
Blasco-Ferre, J
Bourillet, J-F
de Chambure, L
Davies, JS
Frank, N
Guillaumont, B
Georgoulas, K
Berx, B
Olu, K
Ramos, M
Ramalho, L
Renones, O
Caballero, JA
Tempera, F
Tourolle, J
Utrilla, O
van den Beld, I
Yashayaev, I
Serrano, A
Grasshoff, M
Rochette, S
Pham, CK
Carreiro-Silva, M
spellingShingle Morato, T
González-Irusta, JM
Dominguez-Carrió, C
Wei, C-L
Davies, A
Sweetman, AK
Taranto, GH
Beazley, L
García-Alegre, A
Grehan, A
Laffargue, P
Murillo, FJ
Sacau, M
Vaz, S
Kenchington, E
Arnaud-Haond, S
Callery, O
Chimienti, G
Cordes, E
Egilsdottir, H
Freiwald, A
Gasbarro, R
Gianni, M
Gilkinson, K
Wareham Hayes, VE
Hebbeln, D
Hedges, K
Henry, L-A
Kazanidis, G
Koen-Alonso, M
Lirette, C
Mastrototaro, F
Menot, L
Molodtsova, T
Durán Muñoz, P
Murton, B
Orejas, C
Pennino, MG
Puerta, P
Ragnarsson, SA
Ramiro-Sánchez, B
Rice, J
Rivera, J
Roberts, JM
Rodrigues, L
Ross, SW
Rueda, JL
Snelgrove, P
Stirling, D
Treble, M
Urra, J
Vad, J
Watling, L
Walkusz, W
Wang, Z
Wienberg, C
Woillez, M
Levin, LA
Neat, F
Das, D
Fauconnet, L
Viegas, C
Afonso, P
Menezes, G
Pinho, MR
Silva, H
Rosa, A
Catarino, D
Giacomello, E
Guijarro, J
Cleland, J
Yeo, I
Xavier, JR
Sampaio, I
Spearman, J
Victorero, L
Messing, CG
Bilan, M
Blasco-Ferre, J
Bourillet, J-F
de Chambure, L
Davies, JS
Frank, N
Guillaumont, B
Georgoulas, K
Berx, B
Olu, K
Ramos, M
Ramalho, L
Renones, O
Caballero, JA
Tempera, F
Tourolle, J
Utrilla, O
van den Beld, I
Yashayaev, I
Serrano, A
Grasshoff, M
Rochette, S
Pham, CK
Carreiro-Silva, M
ATLAS Deliverable 3.3: Biodiversity, biogeography and GOODS classification system under current climate conditions and future IPCC scenarios
author_facet Morato, T
González-Irusta, JM
Dominguez-Carrió, C
Wei, C-L
Davies, A
Sweetman, AK
Taranto, GH
Beazley, L
García-Alegre, A
Grehan, A
Laffargue, P
Murillo, FJ
Sacau, M
Vaz, S
Kenchington, E
Arnaud-Haond, S
Callery, O
Chimienti, G
Cordes, E
Egilsdottir, H
Freiwald, A
Gasbarro, R
Gianni, M
Gilkinson, K
Wareham Hayes, VE
Hebbeln, D
Hedges, K
Henry, L-A
Kazanidis, G
Koen-Alonso, M
Lirette, C
Mastrototaro, F
Menot, L
Molodtsova, T
Durán Muñoz, P
Murton, B
Orejas, C
Pennino, MG
Puerta, P
Ragnarsson, SA
Ramiro-Sánchez, B
Rice, J
Rivera, J
Roberts, JM
Rodrigues, L
Ross, SW
Rueda, JL
Snelgrove, P
Stirling, D
Treble, M
Urra, J
Vad, J
Watling, L
Walkusz, W
Wang, Z
Wienberg, C
Woillez, M
Levin, LA
Neat, F
Das, D
Fauconnet, L
Viegas, C
Afonso, P
Menezes, G
Pinho, MR
Silva, H
Rosa, A
Catarino, D
Giacomello, E
Guijarro, J
Cleland, J
Yeo, I
Xavier, JR
Sampaio, I
Spearman, J
Victorero, L
Messing, CG
Bilan, M
Blasco-Ferre, J
Bourillet, J-F
de Chambure, L
Davies, JS
Frank, N
Guillaumont, B
Georgoulas, K
Berx, B
Olu, K
Ramos, M
Ramalho, L
Renones, O
Caballero, JA
Tempera, F
Tourolle, J
Utrilla, O
van den Beld, I
Yashayaev, I
Serrano, A
Grasshoff, M
Rochette, S
Pham, CK
Carreiro-Silva, M
author_sort Morato, T
title ATLAS Deliverable 3.3: Biodiversity, biogeography and GOODS classification system under current climate conditions and future IPCC scenarios
title_short ATLAS Deliverable 3.3: Biodiversity, biogeography and GOODS classification system under current climate conditions and future IPCC scenarios
title_full ATLAS Deliverable 3.3: Biodiversity, biogeography and GOODS classification system under current climate conditions and future IPCC scenarios
title_fullStr ATLAS Deliverable 3.3: Biodiversity, biogeography and GOODS classification system under current climate conditions and future IPCC scenarios
title_full_unstemmed ATLAS Deliverable 3.3: Biodiversity, biogeography and GOODS classification system under current climate conditions and future IPCC scenarios
title_sort atlas deliverable 3.3: biodiversity, biogeography and goods classification system under current climate conditions and future ipcc scenarios
publisher Zenodo
publishDate 2021
url https://dx.doi.org/10.5281/zenodo.4658501
https://zenodo.org/record/4658501
genre North Atlantic
genre_facet North Atlantic
op_relation https://zenodo.org/communities/atlas
https://dx.doi.org/10.5281/zenodo.4658502
https://zenodo.org/communities/atlas
op_rights Open Access
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
cc-by-4.0
info:eu-repo/semantics/openAccess
op_rightsnorm CC-BY
op_doi https://doi.org/10.5281/zenodo.4658501
https://doi.org/10.5281/zenodo.4658502
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spelling ftdatacite:10.5281/zenodo.4658501 2023-05-15T17:32:58+02:00 ATLAS Deliverable 3.3: Biodiversity, biogeography and GOODS classification system under current climate conditions and future IPCC scenarios Morato, T González-Irusta, JM Dominguez-Carrió, C Wei, C-L Davies, A Sweetman, AK Taranto, GH Beazley, L García-Alegre, A Grehan, A Laffargue, P Murillo, FJ Sacau, M Vaz, S Kenchington, E Arnaud-Haond, S Callery, O Chimienti, G Cordes, E Egilsdottir, H Freiwald, A Gasbarro, R Gianni, M Gilkinson, K Wareham Hayes, VE Hebbeln, D Hedges, K Henry, L-A Kazanidis, G Koen-Alonso, M Lirette, C Mastrototaro, F Menot, L Molodtsova, T Durán Muñoz, P Murton, B Orejas, C Pennino, MG Puerta, P Ragnarsson, SA Ramiro-Sánchez, B Rice, J Rivera, J Roberts, JM Rodrigues, L Ross, SW Rueda, JL Snelgrove, P Stirling, D Treble, M Urra, J Vad, J Watling, L Walkusz, W Wang, Z Wienberg, C Woillez, M Levin, LA Neat, F Das, D Fauconnet, L Viegas, C Afonso, P Menezes, G Pinho, MR Silva, H Rosa, A Catarino, D Giacomello, E Guijarro, J Cleland, J Yeo, I Xavier, JR Sampaio, I Spearman, J Victorero, L Messing, CG Bilan, M Blasco-Ferre, J Bourillet, J-F de Chambure, L Davies, JS Frank, N Guillaumont, B Georgoulas, K Berx, B Olu, K Ramos, M Ramalho, L Renones, O Caballero, JA Tempera, F Tourolle, J Utrilla, O van den Beld, I Yashayaev, I Serrano, A Grasshoff, M Rochette, S Pham, CK Carreiro-Silva, M 2021 https://dx.doi.org/10.5281/zenodo.4658501 https://zenodo.org/record/4658501 unknown Zenodo https://zenodo.org/communities/atlas https://dx.doi.org/10.5281/zenodo.4658502 https://zenodo.org/communities/atlas Open Access Creative Commons Attribution 4.0 International https://creativecommons.org/licenses/by/4.0/legalcode cc-by-4.0 info:eu-repo/semantics/openAccess CC-BY Other CreativeWork article 2021 ftdatacite https://doi.org/10.5281/zenodo.4658501 https://doi.org/10.5281/zenodo.4658502 2021-11-05T12:55:41Z Major knowledge gaps and a lack of refined models and cost-effective tools to monitor and predict biodiversity delay agreement and implementation of biodiversity management policies at the highest levels. These delays will be reduced through cross-sectoral, multi-stakeholder trans-Atlantic datasharing and integration of ocean mixing and food supply into biodiversity maps. The main vision of WP3 Biodiversity and Biogeography is to conduct pilot studies to validate robust and cost-effective techniques to minimise uncertainty in deep ocean biodiversity and biogeography assessment. At international levels, the Global Open Oceans and Deep Seabed (GOODS) classification scheme is a decision-support tool to help safeguard marine biodiversity, support the ecosystem approach, marine spatial management and the design of MPA networks in national waters and in the international High Seas, thereby helping nations implement global policies enshrined by UNCLOS (e.g. ABNJs), the FAO (e.g. VMEs) and the CBD (e.g. EBSAs). GOODS integrates layers of physical and biological information to delineate biogeographic provinces as entities of flora, fauna and environmental settings. It was later adapted for ABNJ waters >800 m deep, delineating a “Northern Atlantic boreal” and a “North Atlantic” province based on distinct patterns of particulate organic carbon flux and water temperatures. However, the adapted scheme now needs further refinement in light of policy drivers such as the VMEs and EBSAs as it lacks input from structurally complex seabed environments such as CWC reefs, sponge grounds and hydrothermal vents that may also meet EBSA and VME criteria. It could also be substantially improved with input from the latest ocean models integrating horizontal and vertical mixing as water mass characteristics are critical for GOODS boundaries and for species distribution models (SDMs) to predict occurrences of cold-water corals, sponges and fish. Yet even SDMs that integrate larval tracking are still overly simplistic and inaccurate, and at best they use coarse estimates of surface primary production to proxy seafloor food supply. In this deliverable, ATLAS used a combination of techniques, along with the best available information along with knowledge developments made by WP1 and WP2 and new data gathered by WP3 to improve the understanding of deep-sea the biodiversity and biogeographic patterns of sensitive deepwater ecosystems and deep-sea fish in the North Atlantic and forecast changes under IPCC 21st century scenarios of water mass structure and ocean currents. Article in Journal/Newspaper North Atlantic DataCite Metadata Store (German National Library of Science and Technology)