Biogeographic schemes of benthic fauna species on the Deep Brazilian Margin

DOI

Benthic species records of deep-sea fauna distributed along the Brazilian Continental Margin (BCM), synthesized from published databases, were mapped in ArcGIS and the here included shapefiles for each phylum were annexed. Two existing biogeographic schemes for the South Atlantic bathyal and abyssal depths (Spalding et al., 2007; Watling et al., 2013) were tested using the distribution data of benthic species along the BCM. A third biogeographic scheme was tested to assess the relationship between benthic fauna and deep water masses within the Brazilian EEZ. Species occurrences were assigned to the biogeographical units of each biogeographical scheme from which the three occurrences databases (watling, hybrid, water masses), included here, were generated.

Watling_scheme: Database of the deep-sea benthic records distributed following the biogeographical classification of Watling et al. (2013)Hybrid_scheme: Database of the deep-sea benthic records distributed following the MEOW biogeographical classification (Spalding et al., 2007) for upper bathyal depths (200-800 m), and Watling et al. (2013) for lower bathyal (800-3500 m) and abyssal depths (> 3500 m).Water_masses_scheme: Database of the deep-sea benthic records following the distribution of water masses in the water column for the South Atlantic.BCM_"Taxon"_occurence_maps: Shapefiles of the deep-sea benthic occurrences distributed along the Brazilian continental marginBenthic Fauna Database: Final Database of the deep-sea benthic records distributed along the Brazilian continental margin. Scientific species names included here correspond to the WoRMS terminology valid at the time of publication. The original version of scientific species names submitted by the authors (including several unaccepted names) is included in dataset https://doi.org/10.1594/PANGAEA.955785.Abbreviations: A: Annelida; BRA: Brachiopoda; BRY: Bryozoa; CN: Cnidaria; CR: Crustacea; ECH: Echinodermata; M: Mollusca; MEOW: Marine Ecoregions of The World; NEM: Nematoda; POR: Porifera; SIP: Sipuncula

Identifier
DOI https://doi.org/10.1594/PANGAEA.950138
Related Identifier https://doi.org/10.1594/PANGAEA.950760
Related Identifier https://doi.org/10.7717/peerj.14585
Related Identifier https://doi.org/10.25607/gvyjeh
Related Identifier https://ipt.biodiversity.aq/resource?r=southernocean_ostracoda
Related Identifier https://ipt.iobis.org/obis-malaysia/resource?r=squatlobster_cat_v1
Related Identifier https://obis.org/dataset/a571f246-eaa0-42ba-ab57-28b1b8cf3331
Related Identifier https://doi.org/10.25607/7u22zf
Related Identifier https://doi.org/10.25607/fkn6ys
Related Identifier https://doi.org/10.25607/b04qsc
Related Identifier https://doi.org/10.15468/iftudq
Related Identifier https://www.marine.csiro.au/ipt/resource?r=am_marine_inverts
Related Identifier https://ipt.iobis.org/obis-malaysia/resource?r=brazil_macrobenthic_v1
Related Identifier https://ipt.iobis.org/obis-deepsea/resource?r=revizee
Related Identifier https://ipt.vliz.be/eurobis/resource?r=be_rbins_invertebrates_mollusca
Related Identifier https://doi.org/10.1016/j.dsr.2019.103147
Related Identifier https://doi.org/10.1016/j.dsr.2019.05.012
Related Identifier https://doi.org/10.1641/B570707
Related Identifier https://doi.org/10.1016/j.pocean.2012.11.003
Metadata Access https://ws.pangaea.de/oai/provider?verb=GetRecord&metadataPrefix=datacite4&identifier=oai:pangaea.de:doi:10.1594/PANGAEA.950138
Provenance
Creator Gaurisas, Daniela Y ORCID logo; Bernardino, Angelo Fraga ORCID logo
Publisher PANGAEA
Publication Year 2022
Funding Reference Fundação de Amparo à Pesquisa do estado do Espírito Santo https://doi.org/10.13039/501100006182 Crossref Funder ID 85501689 Scholarship; Horizon 2020 https://doi.org/10.13039/501100007601 Crossref Funder ID 818123 https://doi.org/10.3030/818123 Integrated Assessment of Atlantic Marine Ecosystems in Space and Time
Rights Creative Commons Attribution 4.0 International; https://creativecommons.org/licenses/by/4.0/
OpenAccess true
Representation
Resource Type Dataset
Format text/tab-separated-values
Size 88 data points
Discipline Biogeography; Biospheric Sciences; Geosciences; Natural Sciences
Spatial Coverage (-51.934W, -34.667S, -27.800E, 2.700N); Brazilian continental margin
Temporal Coverage Begin 1887-12-26T00:00:00Z
Temporal Coverage End 2017-12-31T00:00:00Z