The BenBioDen database, a global database for meio-, macro- and megabenthic biomass and densities
Benthic fauna refers to all fauna that live in or on the seafloor, which researchers typically divide into size classes meiobenthos (32/64 µm–0.5/1 mm), macrobenthos (250 µm–1 cm), and megabenthos (>1 cm). Benthic fauna play important roles in bioturbation activity, mineralization of organic matt...
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Veröffentlicht in: | Scientific data 2020-06, Vol.7 (1), p.206-206, Article 206 |
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Sprache: | eng |
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Zusammenfassung: | Benthic fauna refers to all fauna that live in or on the seafloor, which researchers typically divide into size classes meiobenthos (32/64 µm–0.5/1 mm), macrobenthos (250 µm–1 cm), and megabenthos (>1 cm). Benthic fauna play important roles in bioturbation activity, mineralization of organic matter, and in marine food webs. Evaluating their role in these ecosystem functions requires knowledge of their global distribution and biomass. We therefore established the BenBioDen database, the largest open-access database for marine benthic biomass and density data compiled so far. In total, it includes 11,792 georeferenced benthic biomass and 51,559 benthic density records from 384 and 600 studies, respectively. We selected all references following the procedure for systematic reviews and meta-analyses, and report biomass records as grams of wet mass, dry mass, or ash-free dry mass, or carbon per m
2
and as abundance records as individuals per m
2
. This database provides a point of reference for future studies on the distribution and biomass of benthic fauna.
Measurement(s)
marine benthic feature • organic material • mass density
Technology Type(s)
digital curation
Factor Type(s)
geographic location • water depth • organism size class
Sample Characteristic - Organism
meiobenthos • macrobenthos • megabenthos
Sample Characteristic - Environment
marine benthic biome • ocean
Sample Characteristic - Location
Atlantic Ocean • Pacific Ocean • Arctic Ocean • Southern Ocean • Indian Ocean
Machine-accessible metadata file describing the reported data:
https://doi.org/10.6084/m9.figshare.12481985 |
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ISSN: | 2052-4463 2052-4463 |
DOI: | 10.1038/s41597-020-0551-2 |