Myotis simus Thomas, 1901

Velazco, Paúl M., Voss, Robert S., Fleck, David W. & Simmons, Nancy B., 2021, Mammalian Diversity And Matses Ethnomammalogy In Amazonian Peru Part 4: Bats, Bulletin of the American Museum of Natural History 2021 (451), pp. 1-201 : 138-139

publication ID

https://doi.org/ 10.1206/0003-0090.451.1.1

persistent identifier

https://treatment.plazi.org/id/BD5D87A2-5696-FF22-D225-FA38FDB7668D

treatment provided by

Felipe

scientific name

Myotis simus Thomas, 1901
status

 

Myotis simus Thomas, 1901 View in CoL

VOUCHER MATERIAL (TOTAL = 3): Orosa (AMNH 74105, 74109, 74110); see table 61 for measurements.

UNVOUCHERED OBSERVATIONS: None.

IDENTIFICATION: The primary diagnostic characteristic of Myotis simus is the attachment

of the plagiopatagium at the ankle or at the level of the toes by a narrow (<1.5 mm wide) band of membrane (López-González et al., 2001). Additionally, M. simus has short (<4 mm), woolly fur; lacks a fringe of hairs along the trailing edge of the uropatagium; sagittal and lambdoidal crests are present; and the occipital region is flattened posteriorly (Moratelli, 2012). Descriptions and measurements of M. simus were provided by Miller (1928), Handley (1960), LaVal (1973), Carter and Dolan (1978), López-González et al. (2001), Wilson (2008b), Moratelli (2012), Moratelli et al. (2011a, 2013, 2015b), and Moratelli and Wilson (2014a). No subspecies are currently recognized (Moratelli, 2012), but a revision is needed due to the suspected presence of cryptic molecular diversity within this taxon as currently recognized (Larsen et al., 2012).

Moratelli et al. (2013) identified the material from Orosa as Myotis simus , and we agree that these specimens conform to previous descriptions and measurements of the species.

REMARKS: No ecological information is available about this species in our region.

Kingdom

Animalia

Phylum

Chordata

Class

Mammalia

Order

Chiroptera

Family

Vespertilionidae

Genus

Myotis

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