A shallow-living Benthic Rhodaliid siphonophore : citizen science discovery from Papua New Guinea

Maciej Mańko , Agata Weydmann , Gillian M. Mapstone


Benthic siphonophores of the family Rhodaliidae (Cnidaria, Hydrozoa) are extremely fragile, difficult to collect, and therefore little studied. Only a few records exist worldwide, so their ecology remains largely unknown. Rhodaliids have been found at most depth horizons, but until now were believed to mainly inhabit deeper water over continental shelves, with only a few records from ca. 100 m. In this paper, a new rhodaliid is described based on an underwater photograph provided by a recreational diver via Facebook. This observation was made in Milne Bay (Papua New Guinea) at a depth of 26–27 m, and constitutes the shallowest record so far for any rhodaliid. The specimen was tentatively identified as Archangelopsis typica based on observable morphological characters and an approximate estimate of connectivity between all rhodaliid species in the Indo-Pacific region. Additionally, we highlight the scientific potential of citizen science.
Author Maciej Mańko (FOG / IO / DMPR)
Maciej Mańko,,
- Division of Marine Plankton Research
, Agata Weydmann (FOG / IO / DMPR)
Agata Weydmann,,
- Division of Marine Plankton Research
, Gillian M. Mapstone
Gillian M. Mapstone,,
Other language title versions
Journal seriesZootaxa, ISSN 1175-5326, (A 20 pkt)
Issue year2017
Publication size in sheets0.5
Keywords in EnglishCoelenterata
ASJC Classification1103 Animal Science and Zoology; 1105 Ecology, Evolution, Behavior and Systematics
URL http://dx.doi.org/10.11646/zootaxa.4324.1.11
Languageen angielski
LicenseOther; published final; Uznanie Autorstwa (CC-BY); with publication
Score (nominal)20
Score sourcejournalList
ScoreMinisterial score = 20.0, 17-11-2019, ArticleFromJournal
Publication indicators WoS Citations = 0; Scopus SNIP (Source Normalised Impact per Paper): 2016 = 0.948; WoS Impact Factor: 2017 = 0.931 (2) - 2017=0.982 (5)
Citation count*1 (2020-01-05)
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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