Benjamin Augustine, PhD
Ben is a postdoctoral research scientist with the Eastern Ecological Science Center at Patuxent Research Refuge in Laurel, MD
Professional Experience
2022 - Present: Postdoctoral Research Scientist, US Geological Survey, Eastern Ecological Science Center
Education and Certifications
PhD, 2018, Virginia Tech, Fish and Wildlife Conservation
MS, 2014, University of Kentucky, Mathematical Statistics
MS, 2010, University of Kentucky, Forestry
Science and Products
Spatial capture–recapture with random thinning for unidentified encounters
Spatial capture–recapture (SCR) models have increasingly been used as a basis for combining capture–recapture data types with variable levels of individual identity information to estimate population density and other demographic parameters. Recent examples are the unmarked SCR (or spatial count model), where no individual identities are available and spatial mark–resight (SMR) where individual id
Authors
José Jiménez, Ben Augustine, Daniel W. Linden, Richard B. Chandler, Andy Royle
READI-Net: Providing Tools for the Early Detection and Management of Aquatic Invasive Species
The USGS has developed the Rapid environmental (e)DNA Assessment and Deployment Initiative & Network (READI-Net) to accelerate the implementation of environmental DNA (eDNA) analysis as a best practice for the early detection of aquatic biological threats. READI-Net provides tools and a strategy to collect and deliver early detection data for natural resource managers and public health protection...
By
Ecosystems Mission Area, Biological Threats and Invasive Species Research Program, Columbia Environmental Research Center, Eastern Ecological Science Center, Forest and Rangeland Ecosystem Science Center, New York Water Science Center, Northern Rocky Mountain Science Center, Upper Midwest Environmental Sciences Center, Wetland and Aquatic Research Center , Wyoming-Montana Water Science Center, Pacific Northwest Environmental DNA Laboratory
Science and Products
Spatial capture–recapture with random thinning for unidentified encounters
Spatial capture–recapture (SCR) models have increasingly been used as a basis for combining capture–recapture data types with variable levels of individual identity information to estimate population density and other demographic parameters. Recent examples are the unmarked SCR (or spatial count model), where no individual identities are available and spatial mark–resight (SMR) where individual id
Authors
José Jiménez, Ben Augustine, Daniel W. Linden, Richard B. Chandler, Andy Royle
READI-Net: Providing Tools for the Early Detection and Management of Aquatic Invasive Species
The USGS has developed the Rapid environmental (e)DNA Assessment and Deployment Initiative & Network (READI-Net) to accelerate the implementation of environmental DNA (eDNA) analysis as a best practice for the early detection of aquatic biological threats. READI-Net provides tools and a strategy to collect and deliver early detection data for natural resource managers and public health protection...
By
Ecosystems Mission Area, Biological Threats and Invasive Species Research Program, Columbia Environmental Research Center, Eastern Ecological Science Center, Forest and Rangeland Ecosystem Science Center, New York Water Science Center, Northern Rocky Mountain Science Center, Upper Midwest Environmental Sciences Center, Wetland and Aquatic Research Center , Wyoming-Montana Water Science Center, Pacific Northwest Environmental DNA Laboratory