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
Filter Total Items: 60
Scientist’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 ho
Authors
James B. Grace, Kathryn Irvine
Assessing 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 effor
Authors
Christian Stratton, Andrew Hoegh, Kathryn M. Irvine, Kristin Legg, Kelly McCloskey, Erin K. Shanahan, Mike Tercek, David Thoma
Evidence of region‐wide bat population decline from long‐term monitoring and Bayesian occupancy models with empirically informed priors
Strategic conservation efforts for cryptic species, especially bats, are hindered by limited understanding of distribution and population trends. Integrating long‐term encounter surveys with multi‐season occupancy models provides a solution whereby inferences about changing occupancy probabilities and latent changes in abundance can be supported. When harnessed to a Bayesian inferential paradigm,
Authors
Thomas J. Rodhouse, Rogelio M. Rodriguez, Katharine M. Banner, Patricia C. Ormsbee, Jenny Barnett, Kathryn Irvine
North American Bat Monitoring Program regional protocol for surveying with stationary deployments of echolocation recording devices: Narrative version 1.0, Pacific Northwestern US
The outbreak of white-nose syndrome (WNS) and the growing awareness of the risks to bats from wind power generating facilities have driven radical changes to North American bat conservation. Over the last decade, formerly common species such as the little brown myotis (Myotis lucifugus) and hoary bat (Lasiurus cinereus) have experienced unprecedented mortality rates and are now facing non-trivial
Authors
Rogelio M. Rodriguez, Thomas J. Rodhouse, Jenny Barnett, Kathryn Irvine, Katharine M. Banner, Jeff Lonneker, Patricia C. Ormsbee
Climatic correlates of white pine blister rust infection in whitebark pine in the Greater Yellowstone Ecosystem
Whitebark pine, a foundation species at tree line in the Western U.S. and Canada, has declined due to native mountain pine beetle epidemics, wildfire, and white pine blister rust. These declines are concerning for the multitude of ecosystem and human benefits provided by this species. Understanding climatic correlates associated with spread is needed to successfully manage impacts from forest path
Authors
David Thoma, Erin K. Shanahan, Kathryn Irvine
Cohesive framework for modeling plant cover class data
The study of plant distribution and abundance is a fundamental pursuit in ecology and conservation biology. Measuring plant abundance by visually assessing percent cover and recording a cover class is a common field method that yields ordinal data. Statistical models for ordinal data exist but entail cumbersome interpretations and sometimes restrictive assumptions.We propose a Bayesian hierarchica
Authors
Kathryn Irvine, Wilson J. Wright, Erin K. Shanahan, Thomas J. Rodhouse
Statistical power of dynamic occupancy models to identify temporal change: Informing the North American Bat Monitoring Program
Dynamic occupancy models provide a flexible framework for estimating and mapping species occupancy patterns
over space and time for large-scale monitoring programs (e.g., the North American Bat Monitoring Program
(NABat), the Amphibian Research and Monitoring Initiative). Challenges for designing surveys using the dynamic
occupancy modeling framework include defining appropriate derived trend para
Authors
Katherine Banner, Kathryn M. Irvine, Tom J Rodhouse, Deahn M. Donner, Andrea R. Litt
Using the beta distribution to analyze plant cover data
Most plant species are spatially aggregated. Local demographic and ecological processes (e.g. vegetative growth and limited seed dispersal) result in a clustered spatial pattern within an environmentally homogenous area. Spatial aggregation should be considered when modelling plant abundance data.Commonly, plant abundance is quantified by measuring cover within multiple areal plots or along multip
Authors
Christian Damgaard, Kathryn M. Irvine
Identifying occupancy model inadequacies: Can residuals separately assess detection and presence?
Occupancy models are widely applied to estimate species distributions, but few methods exist for model checking. Thorough model assessments can uncover inadequacies and allow for deeper ecological insight by exploring structure in the observed data not accounted for by a model. We introduce occupancy model residual definitions that utilize the posterior distribution of the partially latent occupan
Authors
Wilson Wright, Kathryn M. Irvine, Megan D. Higgs
Wetland drying linked to variations in snowmelt runoff across Grand Teton and Yellowstone national parks
In Grand Teton and Yellowstone national parks wetlands offer critical habitat and play a key role in supporting biological diversity. The shallow depths and small size of many wetlands make them vulnerable to changes in climate compared with larger and deeper aquatic habitats. Here, we use a simple water balance model to generate estimates of biophysical drivers of wetland change. We then examine
Authors
Andrew M. Ray, Adam J. Sepulveda, Kathryn M. Irvine, Siri K.C. Wilmoth, David P. Thoma, Debra A. Patla
Impacts of temporal revisit designs on the power to detect trend with a linear mixed model: An application to long-term monitoring of Sierra Nevada lakes
Long-term ecological monitoring programs often use linear mixed models to estimate trend in an ecological indicator sampled across large landscapes. A linear mixed model is versatile for estimating a linear trend in time as well as components of spatial and temporal variationin the case of unbalanced data structures, which are common in complex monitoring designs where limited sampling effort must
Authors
Leigh Ann H. Starcevich, Kathryn M. Irvine, Andrea M. Heard
Occupancy modeling species–environment relationships with non‐ignorable survey designs
Statistical models supporting inferences about species occurrence patterns in relation to environmental gradients are fundamental to ecology and conservation biology. A common implicit assumption is that the sampling design is ignorable and does not need to be formally accounted for in analyses. The analyst assumes data are representative of the desired population and statistical modeling proceeds
Authors
Kathryn M. Irvine, Thomas J. Rodhouse, Wilson J. Wright, Anthony R. Olsen
Non-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-2195825
Maxwell, 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. 1094-1102
Irvine, 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/s10651-010-0146-8
Irvine, 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. 1879-188
Starkey, 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-2170010
Irvine, 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. 351-360
Yeo 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.
Science and Products
Filter Total Items: 60
Scientist’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 ho
Authors
James B. Grace, Kathryn Irvine
Assessing 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 effor
Authors
Christian Stratton, Andrew Hoegh, Kathryn M. Irvine, Kristin Legg, Kelly McCloskey, Erin K. Shanahan, Mike Tercek, David Thoma
Evidence of region‐wide bat population decline from long‐term monitoring and Bayesian occupancy models with empirically informed priors
Strategic conservation efforts for cryptic species, especially bats, are hindered by limited understanding of distribution and population trends. Integrating long‐term encounter surveys with multi‐season occupancy models provides a solution whereby inferences about changing occupancy probabilities and latent changes in abundance can be supported. When harnessed to a Bayesian inferential paradigm,
Authors
Thomas J. Rodhouse, Rogelio M. Rodriguez, Katharine M. Banner, Patricia C. Ormsbee, Jenny Barnett, Kathryn Irvine
North American Bat Monitoring Program regional protocol for surveying with stationary deployments of echolocation recording devices: Narrative version 1.0, Pacific Northwestern US
The outbreak of white-nose syndrome (WNS) and the growing awareness of the risks to bats from wind power generating facilities have driven radical changes to North American bat conservation. Over the last decade, formerly common species such as the little brown myotis (Myotis lucifugus) and hoary bat (Lasiurus cinereus) have experienced unprecedented mortality rates and are now facing non-trivial
Authors
Rogelio M. Rodriguez, Thomas J. Rodhouse, Jenny Barnett, Kathryn Irvine, Katharine M. Banner, Jeff Lonneker, Patricia C. Ormsbee
Climatic correlates of white pine blister rust infection in whitebark pine in the Greater Yellowstone Ecosystem
Whitebark pine, a foundation species at tree line in the Western U.S. and Canada, has declined due to native mountain pine beetle epidemics, wildfire, and white pine blister rust. These declines are concerning for the multitude of ecosystem and human benefits provided by this species. Understanding climatic correlates associated with spread is needed to successfully manage impacts from forest path
Authors
David Thoma, Erin K. Shanahan, Kathryn Irvine
Cohesive framework for modeling plant cover class data
The study of plant distribution and abundance is a fundamental pursuit in ecology and conservation biology. Measuring plant abundance by visually assessing percent cover and recording a cover class is a common field method that yields ordinal data. Statistical models for ordinal data exist but entail cumbersome interpretations and sometimes restrictive assumptions.We propose a Bayesian hierarchica
Authors
Kathryn Irvine, Wilson J. Wright, Erin K. Shanahan, Thomas J. Rodhouse
Statistical power of dynamic occupancy models to identify temporal change: Informing the North American Bat Monitoring Program
Dynamic occupancy models provide a flexible framework for estimating and mapping species occupancy patterns
over space and time for large-scale monitoring programs (e.g., the North American Bat Monitoring Program
(NABat), the Amphibian Research and Monitoring Initiative). Challenges for designing surveys using the dynamic
occupancy modeling framework include defining appropriate derived trend para
Authors
Katherine Banner, Kathryn M. Irvine, Tom J Rodhouse, Deahn M. Donner, Andrea R. Litt
Using the beta distribution to analyze plant cover data
Most plant species are spatially aggregated. Local demographic and ecological processes (e.g. vegetative growth and limited seed dispersal) result in a clustered spatial pattern within an environmentally homogenous area. Spatial aggregation should be considered when modelling plant abundance data.Commonly, plant abundance is quantified by measuring cover within multiple areal plots or along multip
Authors
Christian Damgaard, Kathryn M. Irvine
Identifying occupancy model inadequacies: Can residuals separately assess detection and presence?
Occupancy models are widely applied to estimate species distributions, but few methods exist for model checking. Thorough model assessments can uncover inadequacies and allow for deeper ecological insight by exploring structure in the observed data not accounted for by a model. We introduce occupancy model residual definitions that utilize the posterior distribution of the partially latent occupan
Authors
Wilson Wright, Kathryn M. Irvine, Megan D. Higgs
Wetland drying linked to variations in snowmelt runoff across Grand Teton and Yellowstone national parks
In Grand Teton and Yellowstone national parks wetlands offer critical habitat and play a key role in supporting biological diversity. The shallow depths and small size of many wetlands make them vulnerable to changes in climate compared with larger and deeper aquatic habitats. Here, we use a simple water balance model to generate estimates of biophysical drivers of wetland change. We then examine
Authors
Andrew M. Ray, Adam J. Sepulveda, Kathryn M. Irvine, Siri K.C. Wilmoth, David P. Thoma, Debra A. Patla
Impacts of temporal revisit designs on the power to detect trend with a linear mixed model: An application to long-term monitoring of Sierra Nevada lakes
Long-term ecological monitoring programs often use linear mixed models to estimate trend in an ecological indicator sampled across large landscapes. A linear mixed model is versatile for estimating a linear trend in time as well as components of spatial and temporal variationin the case of unbalanced data structures, which are common in complex monitoring designs where limited sampling effort must
Authors
Leigh Ann H. Starcevich, Kathryn M. Irvine, Andrea M. Heard
Occupancy modeling species–environment relationships with non‐ignorable survey designs
Statistical models supporting inferences about species occurrence patterns in relation to environmental gradients are fundamental to ecology and conservation biology. A common implicit assumption is that the sampling design is ignorable and does not need to be formally accounted for in analyses. The analyst assumes data are representative of the desired population and statistical modeling proceeds
Authors
Kathryn M. Irvine, Thomas J. Rodhouse, Wilson J. Wright, Anthony R. Olsen
Non-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-2195825
Maxwell, 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. 1094-1102
Irvine, 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/s10651-010-0146-8
Irvine, 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. 1879-188
Starkey, 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-2170010
Irvine, 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. 351-360
Yeo 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.