Berosus castaneus Oliva & Short, 2012

Santana, Larissa, Benetti, Cesar João, Clarkson, Bruno & Pes, Ana Maria, 2019, On the genus Berosus Leach (Coleoptera: Hydrophilidae) in the State of Roraima Brazil: description of three new species and new records, Zootaxa 4700 (4), pp. 445-463 : 451

publication ID

https://doi.org/ 10.11646/zootaxa.4700.4.3

publication LSID

lsid:zoobank.org:pub:90BCD9FD-ED89-44B2-A81E-F72A5BE42720

DOI

https://doi.org/10.5281/zenodo.5942415

persistent identifier

https://treatment.plazi.org/id/DA13A721-FFBC-2F0C-CAD2-B066FCB57CE7

treatment provided by

Plazi

scientific name

Berosus castaneus Oliva & Short, 2012
status

 

Berosus castaneus Oliva & Short, 2012 View in CoL *

( Figs. 9 View FIGURES 7–12 a–f)

Material examined. BRAZIL: Roraima State: Boa Vista County (02°47’15.4’’N / 60°46’37.3’’W), 01.vi.2015, leg. K. Dias, C. Benetti [1 male stored in 80% ethanol, deposited at INPA]; Boa Vista County (02°53’03.5’’N / 60°52’45.5’’W), 03.vi.2015, leg. K. Dias, C. Benetti [1 female stored in 80% ethanol, deposited at INPA]; Boa Vista County (03°02’20.3’’N / 60°46’51.7’’W), 07.vi.2015, leg. K. Dias, C. Benetti [1 male and 1 female stored in 80% ethanol, deposited at INPA]; Boa Vista County (03°10’53.9’’N / 60°50’00.8’’W), 07.vi.2015, leg. K. Dias, C. Benetti 1 female stored in 80% ethanol, deposited at INPA GoogleMaps ]; Alto Alegre County (02°59’48.7’’N / 61°07’48.7’’W), 05.vi.2015, leg. K. Dias, C. Benetti [5 males and 3 females stored in 80% ethanol, deposited at INPA]; Alto Alegre County (02°59’37.1’’N / 61°07’38.9’’W), 06.vi.2015, leg. K. Dias, C. Benetti [1 female stored in 80% ethanol, deposited at INPA] GoogleMaps .

Known distribution. Brazil (Roraima), Venezuela (Bolívar).

INPA

Instituto Nacional de Pesquisas da Amazonia

Kingdom

Animalia

Phylum

Arthropoda

Class

Insecta

Order

Coleoptera

Family

Hydrophilidae

SubFamily

Hydrophilinae

Tribe

Berosini

Genus

Berosus

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