Cyoceraphron variipictus Dessart, 1994

Salden, Tobias & Peters, Ralph S., 2023, Afrotropical Ceraphronoidea (Insecta: Hymenoptera) put back on the map with the description of 88 new species, European Journal of Taxonomy 884 (1), pp. 1-386 : 363-364

publication ID

https://doi.org/ 10.5852/ejt.2023.884.2181

publication LSID

lsid:zoobank.org:pub:A128228C-185E-4D21-B23B-223C7C737C4C

DOI

https://doi.org/10.5281/zenodo.8193978

persistent identifier

https://treatment.plazi.org/id/C33B177D-E875-FE97-FDF1-F90BFC29FC10

treatment provided by

Felipe

scientific name

Cyoceraphron variipictus Dessart, 1994
status

 

Cyoceraphron variipictus Dessart, 1994 View in CoL

Johnson & Musetti 2004: 46.

Remarks

Male known but male genitalia unknown. Described from 13 females and 8 males ( Dessart 1994a: 44‒48).

Biology

Unknown.

Distribution

Afrotropical: Gabon.

Type depositories

The female holotype, one female paratype and one male allotype are deposited in the NHMUK. Remaining specimens are deposited in the CNC and the RBINS.

Comments on previously described species of Megaspilidae

The focus of the present study is on the family Ceraphronidae because overwhelmingly more material of this family was available for study compared to Megaspilidae . Accordingly, also the number of newly described and treated species is higher in Ceraphronidae . We refrained from commenting on all previously described Afrotropical species of Megaspilidae (for current status of knowledge, see Johnson & Musetti 2004).

Three previously described species of Megaspilidae were also found in the present study. For these species, we complement the current knowledge with additional information on body and male genitalia characters, analogous to the treatments of newly described species.

NHMUK

Natural History Museum, London

CNC

Canadian National Collection of Insects, Arachnids, and Nematodes

RBINS

Royal Belgian Institute of Natural Sciences

GBIF Dataset (for parent article) Darwin Core Archive (for parent article) View in SIBiLS Plain XML RDF