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
Developing online integrated data visualization tools for WNS and NABat
Wetland State-and-Transition Model Project
North American Bat Monitoring Program (NABat)
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
North American Bat Monitoring Program (NABat) Integrated Summer Species Distribution Model: Predicted Tricolored Bat Occupancy Probabilities
Attributed North American Grid-Based Offshore Sampling Frames
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
Bat Occupancy Model Predictions for Colorado, acoustic data from 2016-2017
Plant cover data sets for implementing beta distribution based models
Bat occupancy model predictions for Montana from acoustic and mist net data 2008-2010
NABat ML: Utilizing deep learning to enable crowdsourced development of automated, scalable solutions for documenting North American bat populations
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
Coupling validation effort with in situ bioacoustic data improves estimating relative activity and occupancy for multiple species with cross-species misclassifications
Resilience to fire and resistance to annual grass invasion in sagebrush ecosystems of US National Parks
Spatial Gaussian processes improve multi-species occupancy models when range boundaries are uncertain and nonoverlapping
Advancements in analytical approaches improve whitebark pine monitoring results
Adaptive monitoring in action: Reconsidering design-based estimators reveals underestimation of whitebark pine disease prevalence in the Greater Yellowstone Ecosystem
NABat: A top-down, bottom-up solution to collaborative continental-scale monitoring
Post-fire vegetation response in a repeatedly burned low-elevation sagebrush steppe protected area provides insights about resilience and invasion resistance
The use of Bayesian priors in Ecology: The good, the bad and the not great
Scientist’s guide to developing explanatory statistical models using causal analysis principles
Assessing spatial and temporal patterns in sagebrush steppe vegetation communities 2012-2018: Grand Teton National Park
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.
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'
R code for fitting and simulation study for zero-augmented beta model with errors
Science and Products
- Science
Developing online integrated data visualization tools for WNS and NABat
Bat Research Research collaboration: Brian Reichert (FORT), Anne Ballmann (NWHC), Jeremy Coleman (USFWS), Paul Cryan (FORT), Wayne Thogmartin (UMESC), and Katherine Irvine (NOROCK) White-nose syndrome is caused by the fungal pathogen Pseudogymnoascus destructans (Pd), which has decimated hibernating bat populations across North America since it emerged 10 years ago in New York. While diagnostic...Wetland State-and-Transition Model Project
The Wetland STM project is creating a state-and-transition model to inform management of semi-permanently flooded wetlands in the Intermountain West and western Prairie Pothole Region, as well as designing a monitoring scheme to allow determination of current wetland condition.North American Bat Monitoring Program (NABat)
North American bats face unprecedented threats including habitat loss and fragmentation, white-nose syndrome, wind energy development, and climate change. However, it is difficult to evaluate the impacts of these threats due to a lack of basic information about the distribution and abundance of bats across the continent. Although bat monitoring has long been conducted in individual areas and for...Integrating Climate and Biological Data into Management Decisions for the Greater Sage-Grouse and their Habitats
Climate affects both the demographics of the Greater sage-grouse bird and the condition and long-term viability of their habitats, including sage-steppe communities. This project builds on collaboration among federal land managers, state wildlife biologists, scientists, and other organizations to create a long-term framework for implementing adaptive management for the sage-grouse. The study examiUsing a Collaborative Modeling Approach to Explore Climate and Landscape Change in the Northern Rockies and Inform Adaptive Management
Federal land managers need an adaptive management framework to accommodate changing conditions and that allows them to effectively link the appropriate science to natural resource management decision-making across jurisdictional boundaries. FRAME-SIMPPLLE is a collaborative modeling process designed to accomplish this goal by coupling the adaptive capabilities of the SIMPPLLE modeling system with - Data
North American Bat Monitoring Program (NABat) Integrated Summer Species Distribution Model: Predicted Tricolored Bat Occupancy Probabilities
These data contain the results from the North American Bat Monitoring Program's (NABat) integrated species distribution model (iSDM) for tricolored bats (Perimyotis subflavus). The provided tabular data include predictions (with uncertainty) for tricolored bat occupancy probabilities (i.e., probability of presence) based on data from the entire summer season (May 1–Aug 31), averaged from 2017-2022Attributed North American Grid-Based Offshore Sampling Frames
This sampling frame is a set of grid-based, finite-area frames spanning the offshore areas surrounding Canada, the United States, and Mexico, and is intended for use with the North American Bat Monitoring Program (NABat). A Generalized Random-Tessellation Stratified (GRTS) Survey Design draw was added to the sample units from the raw sampling grids (https://doi.org/10.5066/P9XBOCVV). The GRTS survStatus and Trends of North American Bats Summer Occupancy Analysis 2010-2019 Data Release
This data release contains the results from the North American Bat Monitoring Program's report titled 'Status and Trends of North American Bats Summer Occupancy Analysis 2010-2019'. Specifically, these data include tabular data and geospatial data for the species-specific results related to the status and trends of 12 bat species at multiple spatial scales including: 10 km x 10 km grid cells, statRangewide summertime model predictions for three bat species (Myotis lucifigus, Myotis septentrionalis, and Perimyotis subflavus) from acoustic and mist net data 2010 to 2019
False positive occupancy analysis predictions with model uncertainty based on summertime data provided to support the three bat species status assessment (SSA) for Myotis lucifigus (MYLU), Myotis septentrionalis (MYSE), and Perimyotis subflavus (PESU). The objectives outlined by the Fish and Wildlife Service's SSA team were to estimate summertime distributions across the entire species range. StatBat Occupancy Model Predictions for Colorado, acoustic data from 2016-2017
We analyzed detection/non-detection data from acoustic surveys of bat species in Colorado during the summers of 2016 and 2017. The goal of this analysis is to create species distribution maps estimating the probability of occupancy across the state for each species. We fit a community occupancy model using both years of data from all the available species. Spatially explicit covariates were includPlant cover data sets for implementing beta distribution based models
The data were collected every year from 2011 until 2017 at the Clarno unit of the John Day Fossil Beds National Monument. The areal plots were placed following a random selection of locations based on the GRTS algorithm. There was a fire documented in 2011 and interest is in assessing whether there is evidence of cheatgrass distribution or abundance increasing in the monument post-fire.Bat occupancy model predictions for Montana from acoustic and mist net data 2008-2010
The spread of white-nose syndrome (WNS) across the eastern United States has raised conservation concerns and provided motivation for efforts to monitor the impacts of this disease. Currently, WNS has not yet been detected in Montana, or any other western state besides Washington, and it is unknown how severe it will impact species in this region once it arrives. Within an occupancy model framewor - Multimedia
- Publications
Filter Total Items: 58
NABat ML: Utilizing deep learning to enable crowdsourced development of automated, scalable solutions for documenting North American bat populations
Bats play crucial ecological roles and provide valuable ecosystem services, yet many populations face serious threats from various ecological disturbances. The North American Bat Monitoring Program (NABat) aims to use its technology infrastructure to assess status and trends of bat populations, while developing innovative and community-driven conservation solutions.Here, we present NABat ML, an auAuthorsAli Khalighifar, Benjamin S. Gotthold, Erin Adams, Jenny K. Barnett, Laura O. Beard, Eric R. Britzke, Paul A. Burger, Kimberly Chase, Zackary Cordes, Paul M. Cryan, Emily Ferrall, Christopher T. Fill, Scott E. Gibson, G. Scott Haulton, Kathryn Irvine, Lara S. Katz, William L. Kendall, Christen A. Long, Oisin Mac Aodha, Tessa McBurney, Sarah McCarthy-Neumann, Matthew W. McKown, Joy O’Keefe, Lucy D. Patterson, Kristopher A. Pitcher, Matthew Rustand, Jordi L. Segers, Kyle Seppanen, Jeremy L. Siemers, Christian Stratton, Bethany Straw, Theodore J. Weller, Brian ReichertStatus 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
AuthorsBradley James Udell, Bethany Straw, Tina L. Cheng, Kyle Enns, Winifred F. Frick, Benjamin Gotthold, Kathryn Irvine, Cori Lausen, Susan Loeb, Jonathan D. Reichard, Thomas J. Rodhouse, Dane Smith, Christian Stratton, Wayne E. Thogmartin, Brian ReichertCoupling validation effort with in situ bioacoustic data improves estimating relative activity and occupancy for multiple species with cross-species misclassifications
The increasing complexity and pace of ecological change requires natural resource managers to consider entire species assemblages. Acoustic recording units (ARUs) require minimal cost and effort to deploy and inform relative activity, or encounter rates, for multiple species simultaneously. ARU-based surveys require post-processing of the recordings via software algorithms that assign a species laAuthorsChristian Stratton, Kathryn M. Irvine, Katharine M. Banner, Wilson J. Wright, Cori Lausen, Jason RaeResilience to fire and resistance to annual grass invasion in sagebrush ecosystems of US National Parks
Western North American sagebrush shrublands and steppe face accelerating risks from fire-driven feedback loops that transition these ecosystems into self-reinforcing states dominated by invasive annual grasses. In response, sagebrush conservation decision-making is increasingly done through the lens of resilience to fire and annual grass invasion resistance. Operationalizing resilience and resistaAuthorsThomas J. Rodhouse, Jeffrey Lonneker, Lisa Bowersock, Diana Popp, Jamela Thompson, Gordon Dicus, Kathryn M. IrvineSpatial Gaussian processes improve multi-species occupancy models when range boundaries are uncertain and nonoverlapping
Species distribution models enable practitioners to analyze large datasets of encounter records and make predictions about species occurrence at unsurveyed locations. In omnibus surveys that record data on multiple species simultaneously, species ranges are often nonoverlapping and misaligned with the administrative unit defining the spatial domain of interest (e.g., a state or province). ConsequeAuthorsWilson Wright, Kathryn M. Irvine, Tom Rodhouse, Andrea R. LittAdvancements in analytical approaches improve whitebark pine monitoring results
Long-term monitoring programs track the status and trends of species in increasingly vulnerable environments. These monitoring results provide critical information for evaluating, understanding, and managing natural resources. To accurately interpret if and how conditions may be changing for select ecological indicators, it is essential that monitoring programs adopt methods to ensure exceptionalAuthorsErin Shanahan, Kathryn M. IrvineAdaptive monitoring in action: Reconsidering design-based estimators reveals underestimation of whitebark pine disease prevalence in the Greater Yellowstone Ecosystem
Identifying and understanding status and trends in ecological indicators motivates continual monitoring over decades. Many programs rely on probability surveys and their companion design-based estimators for status assessments (e.g. Horvitz–Thompson). Design-based estimators do not easily extend to trend estimation nor situations with observation errors. Field-based monitoring efforts inevitably hAuthorsErin Shanahan, Wilson Wright, Kathryn IrvineNABat: A top-down, bottom-up solution to collaborative continental-scale monitoring
Collaborative monitoring over broad scales and levels of ecological organization can inform conservation efforts necessary to address the contemporary biodiversity crisis. An important challenge to collaborative monitoring is motivating local engagement with enough buy-in from stakeholders while providing adequate top-down direction for scientific rigor, quality control, and coordination. CollaborAuthorsBrian Reichert, Mylea L. Bayless, Tina L. Cheng, Jeremy T.H. Coleman, Charles M. Francis, Winifred F. Frick, Benjamin Gotthold, Kathryn Irvine, Cori Lausen, Han Li, Susan C. Loeb, Jonathan D. Reichard, Thomas J. Rodhouse, Jordi L. Segers, Jeremy Siemers, Wayne E. Thogmartin, Theodore WellerPost-fire vegetation response in a repeatedly burned low-elevation sagebrush steppe protected area provides insights about resilience and invasion resistance
Sagebrush steppe ecosystems are threatened by human land-use legacies, biological invasions, and altered fire and climate dynamics. Steppe protected areas are therefore of heightened conservation importance but are few and vulnerable to the same impacts broadly affecting sagebrush steppe. To address this problem, sagebrush steppe conservation science is increasingly emphasizing a focus on resilienAuthorsTom Rodhouse, Kathryn M. Irvine, Lisa BowersockThe use of Bayesian priors in Ecology: The good, the bad and the not great
Bayesian data analysis (BDA) is a powerful tool for making inference from ecological data, but its full potential has yet to be realized. Despite a generally positive trajectory in research surrounding model development and assessment, far too little attention has been given to prior specification.Default priors, a sub‐class of non‐informative prior distributions that are often chosen without critAuthorsKatharine M. Banner, Kathryn M. Irvine, Thomas J. RodhouseScientist’s guide to developing explanatory statistical models using causal analysis principles
Recent discussions of model selection and multimodel inference highlight a general challenge for researchers, which is how to clearly convey the explanatory content of a hypothesized model or set of competing models. The advice from statisticians for scientists employing multimodel inference is to develop a well‐thought‐out set of candidate models for comparison, though precise instructions for hoAuthorsJames B. Grace, Kathryn IrvineAssessing spatial and temporal patterns in sagebrush steppe vegetation communities 2012-2018: Grand Teton National Park
Visual cover class data were collected on over 80 species across 30 permanent sampling frames in sagebrush steppe vegetation communities in Grand Teton National Park from 2012 to 2018. In this report, temporal and spatial patterns in species composition were assessed and used to inform potential sampling strategies for future monitoring. Specifically, the viability of a reduction in sampling efforAuthorsChristian Stratton, Andrew Hoegh, Kathryn M. Irvine, Kristin Legg, Kelly McCloskey, Erin K. Shanahan, Mike Tercek, David ThomaNon-USGS Publications**
Dinger, E.C., Sarr, D.A., Mohren, S., R., Irvine, K.M., Stanley, C.E., 2013. Integrated aquatic community and water quality monitoring of wadeable streams in the Klamath Network: Narrative and standard operating procedures: Natural Resource Report. NPS/KLMN/NRR—2013/669, National Park Service, Fort Collins, Colorado. Published Report-2195825Maxwell, B., Backus, V., Hohmann, M.G., Irvine, K.M., Lawrence, P., Lehnhoff, E., Rew, L., 2012, Comparison of transect-based standard and adaptive sampling methods for invasive plant species, Invasive plant science and management, v. 5, p. 178-193.Rodhouse, Vierling, Irvine 2011. A practical sampling design for acoustic surveys of bats. Journal of Wildlife Management. Vol. 75, No. 5 (July 2011), pp. 1094-1102Irvine, K. M., Gitelman, A.I., 2011, Graphical Spatial Models: A New View on Interpreting Spatial Pattern, Environmental and Ecological Statistics, v. 18 no. 3, p. 447-469. DOI: 10.1007/s10651-010-0146-8Irvine, K. M., Dinger, E., Sarr, D., 2011, A power Analysis for multivariate tests of temporal trend in species composition, Ecology, v. 92, no. 10, p. 1879-188Starkey, E.N., Rodhouse, T.J., Dicus, G.H., Garrett, L.K., Irvine, K.M., Archer, E.K., 2011, Upper Columbia Basin Network riparian condition monitoring protocol: Narrative version 1.0: Natural Resource Report. NPS/UCBN/NRR—2011/463. National Park Service, Natural Resource Stewardship and Science, Fort Collins, Colorado, Published Report-2180551.Starkey, E.N., Rodhouse, T.J., Dicus, G.H., Garrett, L.K., Irvine, K.M., Archer, E.K., 2011, Upper Columbia Basin Network Stream Channel Characteristics Monitoring Protocol: Narrative Version 1.0: Natural Resource Report, NPS/UCBN/NRR—2011/340, National Park Service, Fort Collins, Colorado. Published Report-2170010Irvine, K. M., and T. J. Rodhouse. 2010. Power Analysis for Trend in Ordinal Cover classes: Implications for Long-Term Vegetation Monitoring, Journal of Vegetation Science, v. 21, p. 1152-1161.Rodhouse, T. J., Beever, E., Garrott, L. K. , Irvine, K.M., Munts, M., Ray, C., Shardlow, M. R, 2010, Distribution of the Lava Beds Pika (Ochotona Princeps Goldmani): Conservation Implications from the Range Periphery, Journal of Mammology, v. 91, p. 1287-1299.Stephens J.L., Mohren, S.R., Alexander, J.D., Sarr, D.A., Irvine, K.M., 2010, Klamath Network Landbird Monitoring Protocol, Natural Resource Report, NPS/KLMN/NRR—2010/187, National Park Service, Fort Collins, Colorado, Published Report-664359.Tarasoff, C. S., Ball, D. A. , Mallory-Smith, C. A. , Pypker, T. G., Irvine, K.M., 2010, Site Characteristics Associated with Nuttall's and Weeping Alkaligrass in Northeastern Oregon, Northwest Science, v. 84, p. 351-360Yeo J.J., Rodhouse, T.J., Dicus, G.H., Irvine, K.M., Garrett, L.K., 2009, Upper Columbia Basin Network Sagebrush Steppe Vegetation Monitoring Protocol: Narrative and Standard Operating Procedures (Appendix to Narrative) Version 1.0: Natural Resource Report. NPS/UCBN/NRR—2009/142, National Park Service, Fort Collins, Colorado, Published Report-662446.Wollenberg, E., Rischer, R., Dorr, M., Irvine, K.M., Pereira,C., Stevens, J.F., 2008, Chemodiversity of Exudate Flavonoids in Cassinia and Ozothamnus(Asteraceae Gnaphalieae), Verlag der Zeitschrift fur Natirforschung, Tubingen, v. 63c, p. 731-739.Chung-MacCoubrey, A., Truitt, R.E., Caudill, C.C., Rodhouse, T.J., Irvine, K.M., Siderius, J.R., Chang, V.K., 2008, Mojave Desert Network Vital Signs Monitoring Plan, Natural Resource Report, NPS/MOJN/NRR—2008/057, National Park Service, Fort Collins, CO. Published Report-660400.Rodhouse, T.J., Wilson, M.V., Irvine, K.M., Steinhorst, R.K., Dicus, G.H., Garrett L.K., Lyon, J.W., 2007, Camas Lily Monitoring Protocol Narrative and Standard Operating Procedures: Upper Columbia Basin Network: Version 1.0, October 2007, Natural Resource Report, NPS/UCBN/NRR—2007/011, National Park Service, Fort Collins, Colorado, Published Report-651079.**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.
- Software
Online supporting information for "Improving geographically extensive acoustic survey designs for modeling species occurrence with imperfect detection and misidentification"
R package developed to support study design for acoustic bat surveys with imperfect detection misidentificationSoftware Supplement to accompany 'Estimating Species-Environment Relationships with Non-ignorable Sampling Designs'
R code to fit models with and without sample weights and simulation codeR code for fitting and simulation study for zero-augmented beta model with errors
Code for implementing the Zero-Augmented Beta Model with Errors (ZABE) , simulation study code, and code for assessing trade-offs in study design via simulations. - News