Larissa L Bailey
Affiliation: U.S. Geological Survey
- Sampling design trade-offs in occupancy studies with imperfect detection: examples and softwareLarissa L Bailey
U S Geological Survey, Patuxent Wildlife Research Center, 12100 Beech Forest Road, Laurel, Maryland 20708 4017, USA
Ecol Appl 17:281-90. 2007..We illustrate the utility of program GENPRES using an amphibian example from Greater Yellowstone National Park, U.S.A...
- Estimating the abundance of mouse populations of known size: promises and pitfalls of new methodsPaul B Conn
Department of Fishery and Wildlife Biology, Colorado State University, Wagar Hall, Fort Collins, Colorado 80523, USA
Ecol Appl 16:829-37. 2006..Finally, we show that simultaneous analysis of data from low abundance populations can yield viable abundance estimates...
- Using multilevel spatial models to understand salamander site occupancy patterns after wildfireNathan D Chelgren
U S Geological Survey, Forest and Rangeland Ecosystem Science Center, Corvallis, Oregon 97331, USA
Ecology 92:408-21. 2011....
- Uncovering a latent multinomial: analysis of mark-recapture data with misidentificationWilliam A Link
U S Geological Survey, Patuxent Wildlife Research Center, 12100 American Holly Drive, Laurel, Maryland 21163, USA
Biometrics 66:178-85. 2010..We illustrate the approach using two data sets with individual misidentification, one simulated, the other summarizing recapture data for salamanders based on natural marks...
- Using occupancy models to understand the distribution of an amphibian pathogen, Batrachochytrium dendrobatidisMichael J Adams
U S Geological Survey, Forest and Rangeland Ecosystem Science Center, 3200 SW Jefferson Way, Corvallis, Oregon 97331, USA
Ecol Appl 20:289-302. 2010..We discuss the interpretation of occupancy model parameters, when, unlike a conventional occupancy application, the number of potential samples or observations is finite...
- Experimental investigation of false positive errors in auditory species occurrence surveysDavid A W Miller
United States Geological Survey, Patuxent Wildlife Research Center, 12100 Beech Forest Road, Laurel, Maryland 20708, USA
Ecol Appl 22:1665-74. 2012..As a result, analytical methods that account for false positive errors will be needed, and independent testing of observer ability is a useful predictor for among-observer variation in observation error rates...
- Seeking a second opinion: uncertainty in disease ecologyBrett T McClintock
USGS Patuxent Wildlife Research Center, Laurel, MD 20708, USA
Ecol Lett 13:659-74. 2010..Both show that relatively simple modifications to study designs can greatly improve our understanding of complex spatio-temporal disease dynamics by rigorously accounting for uncertainty at each level of the hierarchy...
- Bias, precision, and parameter redundancy in complex multistate models with unobservable statesLarissa L Bailey
USGS Patuxent Wildlife Research Center, 12100 Beech Forest Road, Laurel, Maryland 20708, USA
Ecology 91:1598-604. 2010..We suggest that investigators interested in using these models explore both theoretical identifiability and possible near-singularity for likely parameter values using a combination of available methods...
- Unmodeled observation error induces bias when inferring patterns and dynamics of species occurrence via aural detectionsBrett T McClintock
U S Geological Survey, Patuxent Wildlife Research Center, 12100 Beech Forest Road, Laurel, Maryland 20708, USA
Ecology 91:2446-54. 2010....
- Iteroparity in the variable environment of the salamander Ambystoma tigrinumDon R Church
Department of Biology, University of Virginia, Gilmer Hall, Charlottesville, Virginia 22904, USA
Ecology 88:891-903. 2007....