Bradley J Udell, PhD
Bradly Udell is a quantitative ecologist with an expertise in wildlife population ecology, Bayesian statistics, landscape ecology, conservation biology, and decision analysis. His work develops and applies methods for integrating multiple streams of monitoring data with ecological models and decisions support tools to inform conservation management of threatened and imperiled species.
Bradley has worked with several local, state, and federal government agencies over the years on wildlife ecology and conservation issues including: 1) predicting the abundance distributions of marine mammals and their collision risk with watercraft, 2) modeling the optimal design of watercraft speed zones to minimize collision risk with manatees, 3) predicting species distributions of invasive plants, and developing decision support tools for the optimal control of invasive species in the Everglades, 4) optimal reserve design for Cape Romain National Wildlife refuge under sea level rise, and 5) modeling the status and trends of North American bat species across their continental ranges.
Professional Experience
Fort Collins Science Center, USGS, Biologist 2023-present
Fort Collins Science Center, USGS, Ecologist 2020-2023
USGS Wetlands and Aquatic Research Center- Graduate Student Affiliate 2017-2020
USGS Wetlands and Aquatic Research Center- Graduate Student Contactor 2016-2017
Florida Cooperative Fish and Wildlife Research Unit - Graduate Student Assistantship 2016-2020
Florida Cooperative Fish and Wildlife Research Unit - Graduate Student Assistantship 2014-2016
Education and Certifications
PhD - University of Florida (2020)
MS - University of Florida (2016)
BS - University of Florida (2013)
Science and Products
North American Bat Monitoring Program (NABat)
Supplemental Results from: Using mobile acoustic monitoring and false-positive N-mixture models to estimate bat abundance and population trends
Summer Roost Site Suitability Analyses of Four North American Bat Species in the Eastern United States
North American Bat Monitoring Program (NABat) Predicted Northern Long-Eared Bat Occupancy Probabilities
North American Bat Monitoring Program (NABat) Integrated Summer Species Distribution Model: Predicted Tricolored Bat Occupancy Probabilities
North American Bat Monitoring Program (NABat) Bayesian Hierarchical Model for Winter Abundance: Predicted Population Estimates (2022 and 2023)
Attributed North American Bat Monitoring Program (NABat) 5km x 5km Master Sample and Grid-Based Sampling Frame
Data from: Decision science for management of coastal ecosystems
Data for analysis of open removal models with temporary emigration and population dynamics to inform invasive animal management
Status and Trends of North American Bats Summer Occupancy Analysis 2010-2019 Data Release
In Support of the U.S. Fish and Wildlife Service 3-Bat Species Status Assessment: Winter Colony Count Analysis
In Support of the U.S. Fish and Wildlife Service 3-Bat Species Status Assessment: Predicted Wind Take Allocated To Hibernacula Each Year Under Current and Future Scenarios
In Support of the U.S. Fish and Wildlife Service 3-Bat Species Status Assessment: Summer Mobile Acoustic Transect Analysis
Using mobile acoustic monitoring and false-positive N-mixture models to estimate bat abundance and population trends
Decision science as a framework for combining geomorphological and ecological modeling for the management of coastal systems
Status and trends of North American bats: Summer occupancy analysis 2010-2019
• We developed an analytical pipeline supported by web-based infrastructure for integrating continental scale bat monitoring data (stationary acoustic, mobile acoustic, and capture records) to estimate summer (May 1–Aug 31) occupancy probabilities and changes in occupancy over time for 12 North American bat species. This serves as one of multiple lines of evidence that inform the status and trends
SiteOpt: An open-source R-package for site selection and portfolio optimization
Spatial conservation planning under uncertainty using modern portfolio theory and nash bargaining solution
Ecosystems-nabat-FPabund: software for fitting false-positive N-mixture models using NABat mobile acoustic data (version 1.0.0)
Science and Products
North American Bat Monitoring Program (NABat)
Supplemental Results from: Using mobile acoustic monitoring and false-positive N-mixture models to estimate bat abundance and population trends
Summer Roost Site Suitability Analyses of Four North American Bat Species in the Eastern United States
North American Bat Monitoring Program (NABat) Predicted Northern Long-Eared Bat Occupancy Probabilities
North American Bat Monitoring Program (NABat) Integrated Summer Species Distribution Model: Predicted Tricolored Bat Occupancy Probabilities
North American Bat Monitoring Program (NABat) Bayesian Hierarchical Model for Winter Abundance: Predicted Population Estimates (2022 and 2023)
Attributed North American Bat Monitoring Program (NABat) 5km x 5km Master Sample and Grid-Based Sampling Frame
Data from: Decision science for management of coastal ecosystems
Data for analysis of open removal models with temporary emigration and population dynamics to inform invasive animal management
Status and Trends of North American Bats Summer Occupancy Analysis 2010-2019 Data Release
In Support of the U.S. Fish and Wildlife Service 3-Bat Species Status Assessment: Winter Colony Count Analysis
In Support of the U.S. Fish and Wildlife Service 3-Bat Species Status Assessment: Predicted Wind Take Allocated To Hibernacula Each Year Under Current and Future Scenarios
In Support of the U.S. Fish and Wildlife Service 3-Bat Species Status Assessment: Summer Mobile Acoustic Transect Analysis
Using mobile acoustic monitoring and false-positive N-mixture models to estimate bat abundance and population trends
Decision science as a framework for combining geomorphological and ecological modeling for the management of coastal systems
Status and trends of North American bats: Summer occupancy analysis 2010-2019
• We developed an analytical pipeline supported by web-based infrastructure for integrating continental scale bat monitoring data (stationary acoustic, mobile acoustic, and capture records) to estimate summer (May 1–Aug 31) occupancy probabilities and changes in occupancy over time for 12 North American bat species. This serves as one of multiple lines of evidence that inform the status and trends