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Full-Text Articles in Life Sciences
Genetic Analyses Reveal Cryptic Introgression In Secretive Marsh Bird Populations, Stephanie S. Coster, Amy B. Welsh, Gary Costanzo, Sergio R. Harding, James T. Anderson, Susan B. Mcrae, Todd E. Katzner
Genetic Analyses Reveal Cryptic Introgression In Secretive Marsh Bird Populations, Stephanie S. Coster, Amy B. Welsh, Gary Costanzo, Sergio R. Harding, James T. Anderson, Susan B. Mcrae, Todd E. Katzner
Faculty & Staff Scholarship
Hybridization is common in bird populations but can be challenging for management, especially if one of the two parent species is of greater conservation concern than the other. King rails (Rallus elegans) and clapper rails (R. crepitans) are two marsh bird species with similar morphologies, behaviors, and overlapping distributions. The two species are found along a salinity gradient with the king rail in freshwater marshes and the clapper in estuarine marshes. However, this separation is not absolute; they are occasionally sympatric, and there are reports of interbreeding. In Virginia, USA, both king and clapper rails are …
Quantitative Acoustic Differentiation Of Cryptic Species Illustrated With King And Clapper Rails, Lydia L. Stiffler, Katie M. Schroeder, James T. Anderson, Susan B. Mcrae, Todd E. Katzner
Quantitative Acoustic Differentiation Of Cryptic Species Illustrated With King And Clapper Rails, Lydia L. Stiffler, Katie M. Schroeder, James T. Anderson, Susan B. Mcrae, Todd E. Katzner
Faculty & Staff Scholarship
Reliable species identification is vital for survey and monitoring programs. Recently, the development of digital technology for recording and analyzing vocalizations has assisted in acoustic surveying for cryptic, rare, or elusive species. However, the quan- titative tools that exist for species differentiation are still being refined. Using vocali- zations recorded in the course of ecological studies of a King Rail (Rallus elegans) and a Clapper Rail (Rallus crepitans) population, we assessed the accuracy and effective- ness of three parametric (logistic regression, discriminant function analysis, quadratic discriminant function analysis) and six nonparametric (support vector machine, CART, Random Forest, k-nearest neighbor, weighted …