Species and their Ecology

» Phylum: Chordata
» Class: Amphibia
» Order: Anura (formerly Salientia): Frogs and toads
» Order: Caudata (formerly Urodela): Salamanders
» Order: Gymnophiona: Caecelians

The U.S. is home to approximately 287 of the world's estimated 6,000 amphibian species. The number of known species changes periodically as new species are discovered and new genetic techniques (e.g. molecular genetics) allow scientists to distinguish among cryptic species.

Resources

National Amphibian Atlas.

Mark Roth
M. Roth (ARMI) installing an acoustic recorder and water-level and water-temperature loggers at an amphibian breeding site in the St. Croix National Scenic Riverway in WI. Photo by: P. Boma.
Grad Glorioso
B. Glorioso (ARMI) with American bullfrog in Atchafalaya Basin, LA conducting amphibian surveys. Photo by: L. Elston.

Amphibian Taxonomy

» Scientific and standard names of amphibians and reptiles of North America north of Mexico, with comments regarding confidence in our understanding. (Crother, B.I. (chair). 2008. Publisher: Society for the Study of Amphibians and Reptiles)

» Amphibian species of the world 5.4, an online reference. (Frost, D. 2010. Publisher: American Museum of Natural History)

» Standard common and current scientific names for North American amphibians, turtles, reptiles and crocodillians. (Collins, J.T., and T.W. Taggart. 2009. Publisher: Center for North American Herpetology)

ARMI conducts research on the natural history of species; writing reports and describing the ecology of America's amphibians. ARMI also collaborates with federal and state partners to design, implement, and evaluate management actions that benefit T&E and other imperiled amphibian species.

Federal and State Partners: Information about the status, management, and conservation of amphibians is found throughout the ARMI web site [e.g. Products Database and Topics Sections]. Please consult the "National Amphibian Atlas" to identify the approximate range of the species of interest.


Species and their Ecology - ARMI Papers & Reports

Papers & Reports Assessing predictions from optimal egg theory for an ectotherm relative to habitat duration
Authors: Jon M Davenport; Andrew Feltmann; LeeAnn Fishback; Blake R Hossack
Outlet: Wildlife Letters
Optimal egg size theory predicts females must balance investment per offspring to maximize fitness. This balance can change based on resources or habitat quality. In wetlands, common aspects of habitat quality are duration of water (hydroperiod) and predator presence. Ectotherms using habitats that dry or contain predators are likely under selection to optimize offspring production. We measured ovum and clutch sizes from wood frogs (Rana sylvatica) in 30 wetlands (2014?2019) in Subarctic Canada, where rapid changes in climate are accelerating wetland drying. We predicted wetlands with short hydroperiods would have larger ova, smaller clutch sizes, and larger ovum-to-clutch-sizes than wetlands with long hydroperiods or with fish predators. We found partial support for our predictions, with larger ova in habitats with short hydroperiods and no fish. We did not, however, find evidence of larger clutch sizes in wetlands with fish or a relationship with ovum-to-clutch size. Given the large environmental changes that are already occurring, our study is novel as one of the first to implicate these rapid changes as potential selective agents on reproductive output in an ectotherm.
Papers & Reports Informative priors can account for location uncertainty in stop-level analyses of the North American Breeding Bird Survey (BBS), allowing fine-scale ecological analyses
Authors: Ryan C Burner; Alan Kirschbaum; Jeffrey A. Hostetler; David J. Ziolkowski Jr; Nicholas M. Anich; Daniel Turek; Eli D. Striegel; Neal D. Niemuth
Date: 2024-09-14 | Outlet: Ornithological Applications
Ecologists can learn a lot about species by studying the precise locations in which they do (and do not) occur, but the location information associated with many species records is imprecise. A prominent example of this is the North American Breeding Bird Survey (BBS), in which volunteer observers have surveyed birds at points along consistent routes across the United States for over fifty-five years. As the BBS was designed for large-scale analyses, detailed location information for each bird count is not recorded. We estimate location uncertainty, and the resulting uncertainty in land cover covariates, for the BBS data and present a modeling method that accounts for this uncertainty in a way that opens new possibilities for fine-scale uses of this extensive dataset, unlocking its potential to advance the study of the relationships between birds and their immediate habitat. More broadly, our methods and modeling framework could be used in a variety of situations in which covariate or location uncertainty is a challenge.
Papers & Reports From eDNA to decisions using a multi-method approach to restoration planning in streams
Authors: Andrea J Adams; Colleen Kamoroff; Rob L Grasso; Brian J Halstead; Patrick M Kleeman; Katherine Powelson; Travis Seaborn; Claudia Mengelt; Caren S Goldberg; Ninette R Daniele
Date: 2024-06-21 | Outlet: Scientific Reports
Reintroduction efforts are increasingly used to mitigate biodiversity losses, but are frequently challenged by inadequate planning and uncertainty. High quality information about population status and threats can be used to prioritize reintroduction and restoration efforts and can transform ad hoc approaches into opportunities for improving conservation outcomes at a landscape scale. We conducted comprehensive environmental DNA (eDNA) and visual encounter surveys to determine the distribution of native and non?native aquatic species in two high?priority watersheds to address key uncertainties—such as the distribution of threats and the status of existing populations—inherent in restoration planning. We then used these occurrence data to develop a menu of potential conservation actions and a decision framework to benefit an endangered vertebrate (foothill yellow?legged frog, Rana boylii) in dynamic stream systems. Our framework combines the strengths of multiple methods, allowing managers and conservation scientists to incorporate conservation science and site?specific knowledge into the planning process to increase the likelihood of achieving conservation goals.
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