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† Cylicioscapha multinodosa (Euomphalus gigantonodus)
Cylicioscapha multinodosa

Additional Functions

Grouping

Belong­ing to

 Gaeabionta  ⇒ Domäne: Eukaryota  ⇒ Reich: Animalia  ⇒ Mittelreich: Eumetazoa  ⇒ Klade: Triploblastica  ⇒ Klade: Eutriploblastica  ⇒ Klade: Neotriploblastica  ⇒ Klade: Eucoelomata  ⇒ Superstamm: Eutrochozoa  ⇒ Stamm: Mollusca  ⇒ Klasse: Gastropoda  ⇒ Unterklasse: Eogastropoda  ⇒ Ordnung: Euomphalida  ⇒ Superfamilie: Euomphaloidea  ⇒ Familie: Euomphalidae  ⇒ Gattung: Cylicioscapha

Taxo­nomic seg­ment

Art

This mentioned taxonomy is an attempt to make an conclusive assignment from the different classifications of various scientists. Because the taxonomy may change due to the latest investigative methods and other findings, our map is a guide only.

Name from

Corre­spond­ing author (Name, Year)

Pan, 1983

Other languages

scientific

Cylicioscapha multinodosa

Alternative Name

scientific

Euomphalus gigantonodus

Wang, 1985
Ref.: H. -Z. Pan and D. H. Erwin. 2002. Gastropods from the Permian of Guangxi and Yunnan Provinces, South China. Journal of Paleontology Memoir 56:1-49

Lebenszeitraum in Million Jahren (Ma)

Start age: 279.3 Ma - End age: 279.3 Ma
Phanerozoic
(Phanerozoikum)
Paleozoic
(Paläozoikum)
Permian
(Perm)
Cisuralian
(Cisural)
Kungurian
(Kungur)
273.01
283.5

Additional data by PBDB, License: CC BY

Motility: stationary
Habit: epifaunal
Diet:

suspension feeder
Compositon of the remains:

Aragonite, low Mg Calcite

Reference- and Source indication, Literature

On the same taxonomic level (siblings) (Count: 6)

Taxonomic assignment (0)

References by PBDB, License: CC BY

  • H. -Z. Pan, 2002 - Gastropods from the Permian of Guangxi and Yunnan Provinces, South China - Journal of Paleontology Memoir (56), 1-49 (journal article, English)
  • Y. T. Pan, 1983 - Permian Gastropoda of southwestern China - Memoir of the Institute of Geology, Academia Sinica (2), 12-20 (journal article, Chinese)

IDs

GUSID (Global unique identifier short form) h4KjC2ftF0ekPFEKB_pVdQ
GUID (Global unique identifier) 0BA38287-ED67-4717-A43C-510A07FA5575
Database ID 113281