{"refrec":{"BRefID":362945,"RR":"<b>McQuaid, K.A.; Bridges, A.E.H.; Howell, K.L.; Gandra, T.B.R.; de Souza, V.; Currie, J.C.; Hogg, O.T.; Pearman, T.R.R.; Bell, J.B.; Atkinson, L.J.; Baum, D.; Bonetti, J.; Carranza, A.; Defeo, O.; Furey, T.; Gasalla, M.A.; Golding, N.; Hampton, S.L.; Horta, S.; Jones, D.O.B.; Lombard, A.T.; Manca, E.; Marín, Y.; Martin, S.; Mortensen, P.; Passadore, C.; Piechaud, N.; Sink, K.J.; Yool, A.</b> (2023). Broad-scale benthic habitat classification of the South Atlantic. <i>Prog. Oceanogr. 214</i>: 103016. <a href=\"https://dx.doi.org/10.1016/j.pocean.2023.103016\" target=\"_blank\">https://dx.doi.org/10.1016/j.pocean.2023.103016</a>","BEntID":360663,"PublicFlag":1,"CheckedFlag":0,"wosflag":1,"vabbflag":0,"RefStringPartII":". <i>Prog. Oceanogr. 214</i>: 103016. <a href=\"https://dx.doi.org/10.1016/j.pocean.2023.103016\" target=\"_blank\">https://dx.doi.org/10.1016/j.pocean.2023.103016</a>","DocTypID":8,"DocType":"Journal article","MarineFlag":1,"FreshFlag":0,"BrackishFlag":0,"TerrestrialFlag":0,"Authorstring":"McQuaid, K.A.; Bridges, A.E.H.; Howell, K.L.; Gandra, T.B.R.; de Souza, V.; Currie, J.C.; Hogg, O.T.; Pearman, T.R.R.; Bell, J.B.; Atkinson, L.J.; Baum, D.; Bonetti, J.; Carranza, A.; Defeo, O.; Furey, T.; Gasalla, M.A.; Golding, N.; Hampton, S.L.; Horta, S.; Jones, D.O.B.; Lombard, A.T.; Manca, E.; Marín, Y.; Martin, S.; Mortensen, P.; Passadore, C.; Piechaud, N.; Sink, K.J.; Yool, A.","OrigTitleTranslFlag":0,"Authorstringtrunc":"McQuaid, K.A. <i>et al.</i>","Englishabstract":"Marine Spatial Planning (MSP) has become a priority for many states wanting to develop national blue economy plans and meet international obligations in response to the increasing cumulative impacts of human activities and climate change. In areas beyond national jurisdiction (ABNJ), MSP is proposed as part of a package of solutions for multi-sectoral management at the ocean basin scale. To facilitate planning, maps showing the spatial distribution of marine biological diversity are required. In areas lacking data, like the South Atlantic, environmental proxies can be used to predict these distributions. We undertook broad-scale benthic habitat classification of the South Atlantic, employing two top-down approaches spanning from national waters to ABNJ. The first was non-hierarchical and clustered groups of environmental variables prior to combination; the second was hierarchical and clustered Principal Components of environmental variables. Areas of agreement between the two approaches were identified and results compared with existing national and global classifications and published biodiversity patterns. We highlight several habitat classes we can be cautiously confident represent variation in biological diversity, such as topographic features, frontal systems and some abyssal basins. We also identify critical gaps in our knowledge of regional biogeography and advocate for collaborative effort to compile benthic species records and promote further exploration of the region to address these gaps. 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