This passive acoustic recording device has been deployed in Montana (MT) as part of the North American Bat Monitoring Programs (NABat) summertime survey efforts. It has an ultrasonic microphone placed at the top of a 10ft pole that records echolocating bats fro
Kathi Irvine, Ph.D.
I am a Research Statistician with the U.S. Geological Survey at the Northern Rocky Mountain Science Center in Bozeman, Montana.
Research Interest
Prior to finding my home in the federal system in 2011, I was an assistant professor at Montana State University (2008-2010). Since receiving my PhD in Statistics from Oregon State University in 2007, I have collaborated with ecologists and biologists charged with monitoring natural resources on federal and state lands. My team provides statistical support for monitoring programs led by the National Park Service, Fish and Wildlife Service, and state agencies. Our work involves development of survey design and analysis strategies for a variety of plants, animals, and other indicators. We currently support monitoring of whitebark pine in the Greater Yellowstone Ecosystem, upland plant communities throughout the Western US, and bats across North America.
My applied statistical research involves developing analytical approaches for ordinal data and bat acoustic surveys that better link the ecological and observation process within a Bayesian framework, applications of causal analysis, investigating spatial sampling designs, and model-assisted methods for status and trend analyses. I mentor statistics students and support graduate research assistants at Montana State University (MSU). Several of my students have participated in writing peer-reviewed papers during their time at MSU. I encourage students interested in ecological statistics to contact me for possible graduate research assistantships, paid summer work, and other opportunities.
Related Projects:
https://www.whitenosesyndrome.org/
Education and Certifications
PhD. Statistics. Oregon State University
MS. Statistics. Oregon State University; MS. Ecology and Environmental Sciences. University of Maine
BS. Biology. University of North Carolina at Chapel Hill
Science and Products
North American Bat Monitoring Program (NABat)
Developing online integrated data visualization tools for WNS and NABat
Wetland State-and-Transition Model Project
Integrating Climate and Biological Data into Management Decisions for the Greater Sage-Grouse and their Habitats
Using a Collaborative Modeling Approach to Explore Climate and Landscape Change in the Northern Rockies and Inform Adaptive Management
Supplemental Results and Code from North American Bat Monitoring Program (NABat) Integrated Species Distribution Model for Tricolored Bat Supplemental Results and Code from North American Bat Monitoring Program (NABat) Integrated Species Distribution Model for Tricolored Bat
North American Bat Monitoring Program (NABat) OneHealth (ver. 2.0, June 2025) North American Bat Monitoring Program (NABat) OneHealth (ver. 2.0, June 2025)
Supplemental Results from: Using mobile acoustic monitoring and false-positive N-mixture models to estimate bat abundance and population trends Supplemental Results from: Using mobile acoustic monitoring and false-positive N-mixture models to estimate bat abundance and population trends
Application of Spatially Misaligned Regression Model to Assess Impacts of White-Nose Syndrome Application of Spatially Misaligned Regression Model to Assess Impacts of White-Nose Syndrome
North American Bat Monitoring Program (NABat) Integrated Summer Species Distribution Model: Predicted Tricolored Bat Occupancy Probabilities (ver. 1.1, October 2024) North American Bat Monitoring Program (NABat) Integrated Summer Species Distribution Model: Predicted Tricolored Bat Occupancy Probabilities (ver. 1.1, October 2024)
Attributed North American Grid-Based Offshore Sampling Frames Attributed North American Grid-Based Offshore Sampling Frames
Status and Trends of North American Bats Summer Occupancy Analysis 2010-2019 Data Release Status and Trends of North American Bats Summer Occupancy Analysis 2010-2019 Data Release
Rangewide summertime model predictions for three bat species (Myotis lucifigus, Myotis septentrionalis, and Perimyotis subflavus) from acoustic and mist net data 2010 to 2019 Rangewide summertime model predictions for three bat species (Myotis lucifigus, Myotis septentrionalis, and Perimyotis subflavus) from acoustic and mist net data 2010 to 2019
Bat Occupancy Model Predictions for Colorado, acoustic data from 2016-2017 Bat Occupancy Model Predictions for Colorado, acoustic data from 2016-2017
Plant cover data sets for implementing beta distribution based models Plant cover data sets for implementing beta distribution based models
Bat occupancy model predictions for Montana from acoustic and mist net data 2008-2010 Bat occupancy model predictions for Montana from acoustic and mist net data 2008-2010
Software Supplement to accompany 'Estimating Species-Environment Relationships with Non-ignorable Sampling Designs' Software Supplement to accompany 'Estimating Species-Environment Relationships with Non-ignorable Sampling Designs'
This passive acoustic recording device has been deployed in Montana (MT) as part of the North American Bat Monitoring Programs (NABat) summertime survey efforts. It has an ultrasonic microphone placed at the top of a 10ft pole that records echolocating bats fro
Missing data in ecology: Syntheses, clarifications, and considerations Missing data in ecology: Syntheses, clarifications, and considerations
Estimating disease prevalence from preferentially sampled, pooled data Estimating disease prevalence from preferentially sampled, pooled data
Integrated distribution modeling resolves asynchrony between bat population impacts and occupancy trends through latent abundance Integrated distribution modeling resolves asynchrony between bat population impacts and occupancy trends through latent abundance
Predicting bat roosts in bridges using Bayesian Additive Regression Trees Predicting bat roosts in bridges using Bayesian Additive Regression Trees
Bayesian model selection to investigate meaningful spatial scales Bayesian model selection to investigate meaningful spatial scales
Statistical review of systematic reconnaissance flight (SRF) surveys (2008-2023) for monitoring American alligator (Alligator mississippiensis) nests in Everglades National Park Statistical review of systematic reconnaissance flight (SRF) surveys (2008-2023) for monitoring American alligator (Alligator mississippiensis) nests in Everglades National Park
Trends in plant cover derived from vegetation plot data using ordinal zero-augmented beta regression Trends in plant cover derived from vegetation plot data using ordinal zero-augmented beta regression
Clustering and unconstrained ordination with Dirichlet process mixture models Clustering and unconstrained ordination with Dirichlet process mixture models
Using mobile acoustic monitoring and false-positive N-mixture models to estimate bat abundance and population trends Using mobile acoustic monitoring and false-positive N-mixture models to estimate bat abundance and population trends
Joint spatial modeling bridges the gap between disparate disease surveillance and population monitoring efforts informing conservation of at-risk bat species Joint spatial modeling bridges the gap between disparate disease surveillance and population monitoring efforts informing conservation of at-risk bat species
NABat ML: Utilizing deep learning to enable crowdsourced development of automated, scalable solutions for documenting North American bat populations NABat ML: Utilizing deep learning to enable crowdsourced development of automated, scalable solutions for documenting North American bat populations
Statistical assessment on determining local presence of rare bat species Statistical assessment on determining local presence of rare bat species
Non-USGS Publications**
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.
A Shiny application to support sample size estimation under the Wet Season Aquatic Fauna Agreement A Shiny application to support sample size estimation under the Wet Season Aquatic Fauna Agreement
Ecosystems-nabat-FPabund: software for fitting false-positive N-mixture models using NABat mobile acoustic data (version 1.0.0) Ecosystems-nabat-FPabund: software for fitting false-positive N-mixture models using NABat mobile acoustic data (version 1.0.0)
Vignette detailing application of multi-scale occupancy models to Hoary bat, Lasiurus cinereus, in Montana, 2020 - 2022 Vignette detailing application of multi-scale occupancy models to Hoary bat, Lasiurus cinereus, in Montana, 2020 - 2022
Vignette Bayesian Site Occupancy Model Bat Acoustic Data Vignette Bayesian Site Occupancy Model Bat Acoustic Data
Application of Spatially Misaligned Regression Model to Assess Impacts of White-Nose Syndrome Application of Spatially Misaligned Regression Model to Assess Impacts of White-Nose Syndrome
Online supporting information for "Improving geographically extensive acoustic survey designs for modeling species occurrence with imperfect detection and misidentification" Online supporting information for "Improving geographically extensive acoustic survey designs for modeling species occurrence with imperfect detection and misidentification"
Software Supplement to accompany 'Estimating Species-Environment Relationships with Non-ignorable Sampling Designs' Software Supplement to accompany 'Estimating Species-Environment Relationships with Non-ignorable Sampling Designs'
R code for fitting and simulation study for zero-augmented beta model with errors R code for fitting and simulation study for zero-augmented beta model with errors
Science and Products
North American Bat Monitoring Program (NABat)
Developing online integrated data visualization tools for WNS and NABat
Wetland State-and-Transition Model Project
Integrating Climate and Biological Data into Management Decisions for the Greater Sage-Grouse and their Habitats
Using a Collaborative Modeling Approach to Explore Climate and Landscape Change in the Northern Rockies and Inform Adaptive Management
Supplemental Results and Code from North American Bat Monitoring Program (NABat) Integrated Species Distribution Model for Tricolored Bat Supplemental Results and Code from North American Bat Monitoring Program (NABat) Integrated Species Distribution Model for Tricolored Bat
North American Bat Monitoring Program (NABat) OneHealth (ver. 2.0, June 2025) North American Bat Monitoring Program (NABat) OneHealth (ver. 2.0, June 2025)
Supplemental Results from: Using mobile acoustic monitoring and false-positive N-mixture models to estimate bat abundance and population trends Supplemental Results from: Using mobile acoustic monitoring and false-positive N-mixture models to estimate bat abundance and population trends
Application of Spatially Misaligned Regression Model to Assess Impacts of White-Nose Syndrome Application of Spatially Misaligned Regression Model to Assess Impacts of White-Nose Syndrome
North American Bat Monitoring Program (NABat) Integrated Summer Species Distribution Model: Predicted Tricolored Bat Occupancy Probabilities (ver. 1.1, October 2024) North American Bat Monitoring Program (NABat) Integrated Summer Species Distribution Model: Predicted Tricolored Bat Occupancy Probabilities (ver. 1.1, October 2024)
Attributed North American Grid-Based Offshore Sampling Frames Attributed North American Grid-Based Offshore Sampling Frames
Status and Trends of North American Bats Summer Occupancy Analysis 2010-2019 Data Release Status and Trends of North American Bats Summer Occupancy Analysis 2010-2019 Data Release
Rangewide summertime model predictions for three bat species (Myotis lucifigus, Myotis septentrionalis, and Perimyotis subflavus) from acoustic and mist net data 2010 to 2019 Rangewide summertime model predictions for three bat species (Myotis lucifigus, Myotis septentrionalis, and Perimyotis subflavus) from acoustic and mist net data 2010 to 2019
Bat Occupancy Model Predictions for Colorado, acoustic data from 2016-2017 Bat Occupancy Model Predictions for Colorado, acoustic data from 2016-2017
Plant cover data sets for implementing beta distribution based models Plant cover data sets for implementing beta distribution based models
Bat occupancy model predictions for Montana from acoustic and mist net data 2008-2010 Bat occupancy model predictions for Montana from acoustic and mist net data 2008-2010
Software Supplement to accompany 'Estimating Species-Environment Relationships with Non-ignorable Sampling Designs' Software Supplement to accompany 'Estimating Species-Environment Relationships with Non-ignorable Sampling Designs'
This passive acoustic recording device has been deployed in Montana (MT) as part of the North American Bat Monitoring Programs (NABat) summertime survey efforts. It has an ultrasonic microphone placed at the top of a 10ft pole that records echolocating bats fro
This passive acoustic recording device has been deployed in Montana (MT) as part of the North American Bat Monitoring Programs (NABat) summertime survey efforts. It has an ultrasonic microphone placed at the top of a 10ft pole that records echolocating bats fro
Missing data in ecology: Syntheses, clarifications, and considerations Missing data in ecology: Syntheses, clarifications, and considerations
Estimating disease prevalence from preferentially sampled, pooled data Estimating disease prevalence from preferentially sampled, pooled data
Integrated distribution modeling resolves asynchrony between bat population impacts and occupancy trends through latent abundance Integrated distribution modeling resolves asynchrony between bat population impacts and occupancy trends through latent abundance
Predicting bat roosts in bridges using Bayesian Additive Regression Trees Predicting bat roosts in bridges using Bayesian Additive Regression Trees
Bayesian model selection to investigate meaningful spatial scales Bayesian model selection to investigate meaningful spatial scales
Statistical review of systematic reconnaissance flight (SRF) surveys (2008-2023) for monitoring American alligator (Alligator mississippiensis) nests in Everglades National Park Statistical review of systematic reconnaissance flight (SRF) surveys (2008-2023) for monitoring American alligator (Alligator mississippiensis) nests in Everglades National Park
Trends in plant cover derived from vegetation plot data using ordinal zero-augmented beta regression Trends in plant cover derived from vegetation plot data using ordinal zero-augmented beta regression
Clustering and unconstrained ordination with Dirichlet process mixture models Clustering and unconstrained ordination with Dirichlet process mixture models
Using mobile acoustic monitoring and false-positive N-mixture models to estimate bat abundance and population trends Using mobile acoustic monitoring and false-positive N-mixture models to estimate bat abundance and population trends
Joint spatial modeling bridges the gap between disparate disease surveillance and population monitoring efforts informing conservation of at-risk bat species Joint spatial modeling bridges the gap between disparate disease surveillance and population monitoring efforts informing conservation of at-risk bat species
NABat ML: Utilizing deep learning to enable crowdsourced development of automated, scalable solutions for documenting North American bat populations NABat ML: Utilizing deep learning to enable crowdsourced development of automated, scalable solutions for documenting North American bat populations
Statistical assessment on determining local presence of rare bat species Statistical assessment on determining local presence of rare bat species
Non-USGS Publications**
**Disclaimer: The views expressed in Non-USGS publications are those of the author and do not represent the views of the USGS, Department of the Interior, or the U.S. Government.