Gaurisas, Daniela Y; Bernardino, Angelo Fraga (2023): Database of deep-sea benthic fauna occurrences along the Brazilian Continental Margin (BCM) [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.955785, In: Gaurisas, DY; Bernardino, AF (2022): Benthic biodiversity and biogeographic patterns on the Deep Brazilian Margin [dataset bundled publication]. PANGAEA, https://doi.org/10.1594/PANGAEA.950760
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Abstract:
The dataset contains species occurrence records of deep-sea benthic fauna distributed along the Brazilian Continental Margin (BCM). Benthic records from existing and openly published databases available online were synthesized to obtain the deep-sea benthic diversity of the Brazilian Exclusive Economic Zone (EEZ). Only records that were identified to the species level and distributed between 200 and 5000 m water depth were included in the final, standardised database.
Supplement to:
Gaurisas, Daniela Y; Bernardino, Angelo Fraga (2023): Benthic biogeographic patterns on the deep Brazilian margin. PeerJ, 11, e14585, https://doi.org/10.7717/peerj.14585
Source:
Amaral, A C Z; Rossi-Wongtschowski, C L D B (2004): Invertebrates, REVIZEE South Region - Benthos - Biodiversidade bentônica da região sudeste-sul do Brasil, plataforma externa e talude superior. Tropical and Subtropical Western South Atlantic OBIS, 216, https://doi.org/10.25607/gvyjeh
Brandão, Simone N (2020): SCAR Biogeographic Atlas of the Southern Ocean - Benthic Ostracoda - Data. https://ipt.biodiversity.aq/resource?r=southernocean_ostracoda
IOC (2018): Catalogue of Squat Lobsters. https://ipt.iobis.org/obis-malaysia/resource?r=squatlobster_cat_v1
IOC (2018): Deep Atlantic gastropods - Ocean Biodiversity Information System. Tropical and Subtropical Western South Atlantic OBIS, https://obis.org/dataset/a571f246-eaa0-42ba-ab57-28b1b8cf3331
IOC (2018): Extreme_South_BR. Tropical and Subtropical Western South Atlantic OBIS, https://doi.org/10.25607/7u22zf
IOC (2018): Previous Fisheries REVIZEE Program. Tropical and Subtropical Western South Atlantic OBIS, https://doi.org/10.25607/fkn6ys
IOC (2018): Types_collection_Carcinolgy_MN_UFRJ. Tropical and Subtropical Western South Atlantic OBIS, https://doi.org/10.25607/b04qsc
Janussen, Dorte; Downey, Rachel (2020): SCAR Biogeographic Atlas of the Southern Ocean - Porifera - Data. SCAR - AntOBIS, https://doi.org/10.15468/iftudq
Keable, Stephen (2022): Australian Museum Marine Invertebrate Collection. OBIS Australia Node manager, OBIS Australia Data Manager CSIRO National Collections and Marine Infrastructure Data Centre, https://www.marine.csiro.au/ipt/resource?r=am_marine_inverts
Lang da Silveira, Fabio; Lopes, Rubens M (2009): Brazilian Marine Invertebrate Data Sets from SpeciesLink. https://ipt.iobis.org/obis-malaysia/resource?r=brazil_macrobenthic_v1
Lang da Silveira, Fabio; Lopes, Rubens M (2009): REVIZEE deep ocean fauna along the Brazilian Central Coas. OBIS South America, BRAZIL). In: REVIZEE Document Series . WSAOBIS, São Paulo, https://ipt.iobis.org/obis-deepsea/resource?r=revizee
Samyn, Y; Semal, P (2020): Royal Belgian Institute of Natural Sciences Mollusca Collection (Mollusca). https://ipt.vliz.be/eurobis/resource?r=be_rbins_invertebrates_mollusca
References:
Barbosa, R V; Davies, Andrew John; Sumida, Paulo Yukio Gomes (2020): Habitat suitability and environmental niche comparison of cold-water coral species along the Brazilian continental margin. Deep Sea Research Part I: Oceanographic Research Papers, 155, 103147, https://doi.org/10.1016/j.dsr.2019.103147
Bernardino, Angelo Fraga; Gama, Rodrigo Novo; Mazzuco, Ana Carolina A; Omena, Elianne P; Lavrado, Helena P (2019): Submarine canyons support distinct macrofaunal assemblages on the deep SE Brazil margin. Deep Sea Research Part I: Oceanographic Research Papers, 149, 103052, https://doi.org/10.1016/j.dsr.2019.05.012
Spalding, Mark; Fox, Helen E; Allen, Gerald R; Davidson, Nick; Ferdana, Zach A; Finlayson, Max; Halpern, Benjamin S; Jorge, Miguel A; Lombana, Al; Lourie, Sara A; Martin, Kirsten D; McManus, Edmund; Molnar, Jennifer (2007): Marine Ecoregions of the World: A Bioregionalization of Coastal and Shelf Areas. BioScience, 57(7), 573-583, https://doi.org/10.1641/B570707
Watling, L; Guinotte, John M; Clark, M R; Smith, Craig R (2013): A proposed biogeography of the deep ocean floor. Progress in Oceanography, 111, 91-112, https://doi.org/10.1016/j.pocean.2012.11.003
Project(s):
Funding:
Fundação de Amparo à Pesquisa do estado do Espírito Santo (FAPES), grant/award no. 85501689: Scholarship
Horizon 2020 (H2020), grant/award no. 818123: Integrated Assessment of Atlantic Marine Ecosystems in Space and Time
Coverage:
Median Latitude: -21.970775 * Median Longitude: -41.161616 * South-bound Latitude: -34.667500 * West-bound Longitude: -51.933667 * North-bound Latitude: 2.700000 * East-bound Longitude: -27.800000
Date/Time Start: 1887-12-26T00:00:00 * Date/Time End: 2017-12-31T00:00:00
Minimum Elevation: -5000.0 m * Maximum Elevation: -200.0 m
Event(s):
Brazilian_Continental_Margin_Benthic_Fauna * Latitude Start: -34.667500 * Longitude Start: -51.933667 * Latitude End: 2.700000 * Longitude End: -27.800000 * Date/Time Start: 1887-12-26T00:00:00 * Date/Time End: 2017-12-31T00:00:00 * Elevation Start: -5000.0 m * Elevation End: -200.0 m * Location: Brazilian continental margin (BCM) * Method/Device: Biodiversity mapping (BIOMAP)
Comment:
Fauna database of deep-sea benthic species records distributed along the Brazilian continental margin.
Spelling mistakes in scientific species names were corrected based on the (currently) accepted WoRMS catalogue entry, while full species identification (names) submitted by the author(s) were not modified. and thus may include currently unaccepted species names. The database file included in the sister dataset (https://doi.org/10.1594/PANGAEA.950138) contains species names modified according to the valid WoRMS terminology at the time of publication (November 2022).
Parameter(s):
# | Name | Short Name | Unit | Principal Investigator | Method/Device | Comment |
---|---|---|---|---|---|---|
1 | Identification | ID | Gaurisas, Daniela Y | |||
2 | LATITUDE | Latitude | Gaurisas, Daniela Y | Geocode | ||
3 | LONGITUDE | Longitude | Gaurisas, Daniela Y | Geocode | ||
4 | Phylum | Phylum | Gaurisas, Daniela Y | Literature based | ||
5 | Subphylum | Subphylum | Gaurisas, Daniela Y | Literature based | ||
6 | Class | Class | Gaurisas, Daniela Y | Literature based | ||
7 | Subclass | Subclass | Gaurisas, Daniela Y | Literature based | ||
8 | Order | Order | Gaurisas, Daniela Y | Literature based | ||
9 | Family | Family | Gaurisas, Daniela Y | Literature based | ||
10 | Genus | Genus | Gaurisas, Daniela Y | Literature based | ||
11 | Species | Species | Gaurisas, Daniela Y | Literature based | ||
12 | Species, unique identification (URI) | Species UID (URI) | Gaurisas, Daniela Y | Literature based | ||
13 | Species, unique identification (Semantic URI) | Species UID (Semantic URI) | Gaurisas, Daniela Y | Literature based |
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Enhanced curation (CurationLevelC) * Processing Level: PANGAEA data processing level 3 (ProcLevel3)
Size:
35920 data points
Download Data
View dataset as HTML (shows only first 2000 rows)