Hylomantis Peters, 1873

Duellman, William E., Marion, Angela B. & Hedges, Blair, 2016, Phylogenetics, classification, and biogeography of the treefrogs (Amphibia: Anura: Arboranae), Zootaxa 4104 (1), pp. 1-109 : 35

publication ID

https://doi.org/ 10.11646/zootaxa.4104.1.1

publication LSID

lsid:zoobank.org:pub:D598E724-C9E4-4BBA-B25D-511300A47B1D

DOI

https://doi.org/10.5281/zenodo.5458540

persistent identifier

https://treatment.plazi.org/id/03EA87A5-FF8B-120B-F398-8C123279F0C0

treatment provided by

Plazi

scientific name

Hylomantis Peters, 1873
status

 

Hylomantis Peters, 1873

Hylomantis Peters, 1873 “1872:”772, Type species: Hylomantis asper Peters, 1873 “1872.” by monotypy.

Definition. Small frogs (SVL less than 50 mm); vomerine teeth present; palpebral membrane not reticulated; tadpoles having enlarged oral disc directed anteriorly.

Content. Two species: Hylomantis asperus Peters and H. granulosus (Cruz) .

Distribution. Atlantic coastal forest in the states of Bahia and Pernambuco, Brazil.

Etymology. The generic name is the combination of Hylas of Greek mythology and the Greek mantis prophet or soothsayer. The gender is masculine.

Remarks. The generic placement of these frogs has been chaotic (see Faivovich et al. 2010, and Pimenta et al. 2007b). The tadpoles are unique among phyllomedusids by having the eyes lateral and visible from below and an enlarged oral disc directed anteriorly ( Nascimento & Skuk 2007). Faivovich et al. (2010) recognized Hylomantis as a genus containing H. asperus ( Fig. 15A View FIGURE 15. A ) and H. granulosus plus the “ Phyllomedusa buckleyi Group.” Herein we consider Hylomantis to be composed of two species in northeastern Brazil, more than 3000 km away from the “ Phyllomedusa buckleyi Group” and from members of the genus Agalychnis in Central America and northwestern South America.

Kingdom

Animalia

Phylum

Chordata

Class

Amphibia

Order

Anura

Family

Hylidae

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