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Discrimination between Peromyscus leucopus noveboracensis and Peromyscus maniculatus nubiterrae in the field

100%

Bruseo J. A., Vessey S. H., Graham J. S.

Acta Theriologica

1999

tom 44

nr 2

Syntopic Peromyscus leucopus noveboracensis (Fischer, 1829) and P. maniculatus nubiterrae (Rhoads, 1896) exhibit considerable overlap in external morphologies in the Appalachian mountains of the Eastern United States, making field identification of live individuals questionable in some instances. We compared two techniques for correctly identifying these live individuals in the field: the tail:body ratio and weight criterion, and discriminant function analysis of external morphological characters. Electrophoresis of salivary amylase was used to confirm species identity. The tail:body ratio and weight criterion was a poor character combination for discriminating between species, with 36% of new (unmarked) individuals misclassified. Models generated from discriminant function analysis resulted in up to 92% correct classification to species of live individuals. For any individual Peromyscus (Gloger, 1841) captured, four quantitative characters (tail length, body length, ear length, and weight) were the most useful in discrimination between species. While classification equations provided improved species identification, they still resulted in a high degree of error. Only electrophoresis of salivary amylase provided unambiguous species identification in the field, and we recommend the use of this technique.

Field identification of the cryptic vespertilionid bats, Myotis lucifugus and M. yumanensis

58%

Weller T. J., Scott S. A., Rodhouse T. J., Ormsbee P. C., Zinck J. M.

Acta Chiropterologica

2007

tom 09

nr 1

Recent advances in molecular techniques have provided new tools for confirming species identities, however they can be expensive and results are not immediately available. Myotis lucificugus and M. yumanensis are morphologically cryptic species of bats sympatric in western North America that can be difficult to distinguish in the field. We evaluated a set of models that used morphological and echolocation call characters obtained in the field to predict species identity as determined by DNA analysis. We constructed models using data from 98 M. lucifugus and 100 M. yumanensis captured throughout the Pacific Northwest from which we had obtained high-quality, time-expansion recordings of their echolocation calls. The best model for distinguishing the species combined forearm length and characteristic frequency of echolocation calls and was able to identify 92% of M. lucifugus and 91% of M. yumanensis individuals, with ≥95% confidence. We evaluated the applicability of our model by testing it on additional datasets. Our model correctly classified 83% of M. lucifugus (n = 30) and 93% of M. yumanensis (n = 29) individuals captured in north-central Oregon, whose echolocation calls were recorded using a zero-crossings echolocation detection system. It also correctly classified 86% of M. lucifugus (n = 22) and 85% of M. yumanensis (n = 26) individuals, captured throughout our study area, for which only poor-quality time-expansion recordings of echolocation calls were obtained. Combining morphometrics with echolocation call characteristics may be a useful approach for distinguishing among pairs of cryptic species of bats in other areas.

Ograniczanie wyników

1 Acta Chiropterologica

1 Acta Theriologica

1 Bruseo J. A.

1 Graham J. S.

1 Ormsbee P. C.

1 Rodhouse T. J.

1 Scott S. A.

1 Vessey S. H.

1 Weller T. J.

1 Zinck J. M.

1 2007

1 1999

Wyniki wyszukiwania

Discrimination between Peromyscus leucopus noveboracensis and Peromyscus maniculatus nubiterrae in the field

Field identification of the cryptic vespertilionid bats, Myotis lucifugus and M. yumanensis