John Sauer, Ph.D.
John Sauer is a Wildlife Biologist (Emeritus) at the Eastern Ecological Science Center in Laurel, MD.
He has also worked as a Statistician with the U. S. Fish and Wildlife Service and as a Lecturer at the University of Kansas. John is an Elective Fellow of the American Ornithological Society and serves on the Board of Editors of Ecology, Ecological Monographs, and Avian Conservation and Ecology. John has been awarded the AOS Ralph W. Schreiber Conservation Award (2018) and a United States Department of Interior Distinguished Service Award (2018).
John participates in a wide variety of research projects united by the general themes of population ecology, survey design and analysis, geographic and temporal analysis of population change, analysis of count data, geographical ecology, and summary and display of large-scale surveys. Current projects include:
Analysis of population change from count data-John has participated in a series of research projects associated with analysis of population change from count data. Along with a variety of collaborators, he develops methods for analysis of counts in which counts are modeled hierarchically, as over-dispersed Poisson random variables, allowing for adjustment of both factors that influence visibility of animals and factors that actually influence population sizes. These methods are presently being implemented for the North American Breeding Bird Survey, the Christmas Bird Count, breeding waterfowl surveys in the Northeastern United States and Canada, and the Woodcock Singing-ground Survey. The methods are also used for spatial modeling and landscape level analyses, addressing questions relevant to conservation and ecology. He conducts yearly analyses of all North American Breeding Bird Survey data, and consults with researchers and managers who use the database.
Development of internet-based procedures for summary and analysis of survey data-In collaboration with other Patuxent staff, John has developed a series of web sites that allow users access to information from the North American Breeding Bird Survey and other datasets. Survey data can be accessed at several geographic scales, from individual sample units to continental summaries. A recent innovation is development of a map-based application that integrates BBS and displays BBS results at multiple geographic scale, similar to USGS mapping products associated with water resources. Custom analyses of population change can be conducted for regions, species, and time periods specified by users.
