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
Review of the book Handbook of spatial point-pattern analysis in Ecology, by Thorsten Wiegand and Kirk A. Moloney
Evaluating physical habitat and water chemistry data from statewide stream monitoring programs to establish least-impacted conditions in Washington State
Empirical evaluation of the conceptual model underpinning a regional aquatic long-term monitoring program using causal modelling
Predicting foundation bunchgrass species abundances: Model-assisted decision-making in protected-area sagebrush steppe
Demographic monitoring and population viability analysis of two rare beardtongues from the Uinta Basin
Evaluation of a combined macrophyte–epiphyte bioassay for assessing nutrient enrichment in the Portneuf River, Idaho, USA
Status of whitebarkpine in the Greater Yellowstone Ecosystem: A step-trend analysis comparing 2004-2007 to 2008-2011
Statistical assessment on a combined analysis of GRYN-ROMN-UCBN upland vegetation vital signs
Meteorological variables associated with deep slab avalanches on persistent weak layers
Summary of preliminary step-trend analysis from the Interagency Whitebark Pine Long-termMonitoring Program—2004-2013
Response of Yellowstone grizzly bears to changes in food resources: A synthesis. Final report to the Interagency Grizzly Bear Committee and Yellowstone Ecosystem Subcommittee
A comparison of adaptive sampling designs and binary spatial models: A simulation study using a census of Bromus inermis
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.
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Filter Total Items: 59
Review of the book Handbook of spatial point-pattern analysis in Ecology, by Thorsten Wiegand and Kirk A. Moloney
No abstract available.AuthorsKathryn M. IrvineEvaluating physical habitat and water chemistry data from statewide stream monitoring programs to establish least-impacted conditions in Washington State
Various GIS-generated land-use predictor variables, physical habitat metrics, and water chemistry variables from 75 reference streams and 351 randomly sampled sites throughout Washington State were evaluated for effectiveness at discriminating reference from random sites within level III ecoregions. A combination of multivariate clustering and ordination techniques were used. We describe average oAuthorsSiri K. Wilmoth, Kathryn M. Irvine, Chad LarsonEmpirical evaluation of the conceptual model underpinning a regional aquatic long-term monitoring program using causal modelling
Conceptual models are an integral facet of long-term monitoring programs. Proposed linkages between drivers, stressors, and ecological indicators are identified within the conceptual model of most mandated programs. We empirically evaluate a conceptual model developed for a regional aquatic and riparian monitoring program using causal models (i.e., Bayesian path analysis). We assess whether data gAuthorsKathryn M. Irvine, Scott Miller, Robert K. Al-Chokhachy, Erik Archer, Brett B. Roper, Jeffrey L. KershnerPredicting foundation bunchgrass species abundances: Model-assisted decision-making in protected-area sagebrush steppe
Foundation species are structurally dominant members of ecological communities that can stabilize ecological processes and influence resilience to disturbance and resistance to invasion. Being common, they are often overlooked for conservation but are increasingly threatened from land use change, biological invasions, and over-exploitation. The pattern of foundation species abundances over space aAuthorsThomas J. Rodhouse, Kathryn M. Irvine, Roger L. Sheley, Brenda S. Smith, Shirley Hoh, Daniel M. Esposito, Ricardo Mata-GonzalezDemographic monitoring and population viability analysis of two rare beardtongues from the Uinta Basin
Energy development, in combination with other environmental stressors, poses a persistent threat to rare species endemic to energy-producing regions of the western United States. Demographic analyses of monitored populations can provide key information on the natural dynamics of threatened plant and animal populations and how these dynamics might be affected by present and future development. In tAuthorsRebecca M. McCaffery, Rita Reisor, Kathryn M. Irvine, Jessi BrunsonEvaluation of a combined macrophyte–epiphyte bioassay for assessing nutrient enrichment in the Portneuf River, Idaho, USA
We describe and evaluate a laboratory bioassay that uses Lemna minor L. and attached epiphytes to characterize the status of ambient and nutrient-enriched water from the Portneuf River, Idaho. Specifically, we measured morphological (number of fronds, longest surface axis, and root length) and population-level (number of plants and dry mass) responses of L. minor and community-level (ash-free dryAuthorsAndrew M. Ray, Christopher A. Mebane, Flint Raben, Kathryn M. Irvine, Amy M. MarcarelliStatus of whitebarkpine in the Greater Yellowstone Ecosystem: A step-trend analysis comparing 2004-2007 to 2008-2011
Whitebark pine (Pinus albicaulis) is a foundation and keystone species in upper subalpine environments of the northern Rocky Mountains that strongly influences the biodiversity and productivity of high-elevation ecosystems (Tomback et al. 2001, Ellison et al. 2005). Throughout its historic range, whitebark pine has decreased significantly as a major component of high-elevation forests. As a resultAuthorsErin Shanahan, Kathryn M. Irvine, Dave Roberts, Andrea R. Litt, Kristin Legg, Rob Daley, Nina ChambersStatistical assessment on a combined analysis of GRYN-ROMN-UCBN upland vegetation vital signs
As of 2013, Rocky Mountain and Upper Columbia Basin Inventory and Monitoring Networks have multiple years of vegetation data and Greater Yellowstone Network has three years of vegetation data and monitoring is ongoing in all three networks. Our primary objective is to assess whether a combined analysis of these data aimed at exploring correlations with climate and weather data is feasible. We summAuthorsKathryn M. Irvine, Thomas J. RodhouseMeteorological variables associated with deep slab avalanches on persistent weak layers
Deep slab avalanches are a particularly challenging avalanche forecasting problem. These avalanches are typically difficult to trigger, yet when they are triggered they tend to propagate far and result in large and destructive avalanches. For this work we define deep slab avalanches as those that fail on persistent weak layers deeper than 0.9m (3 feet), and that occur after February 1st. We utilizAuthorsAlex Marienthal, Jordy Hendrikx, Karl Birkeland, Kathryn M. IrvineSummary of preliminary step-trend analysis from the Interagency Whitebark Pine Long-termMonitoring Program—2004-2013
In mixed and dominant stands, whitebark pine (Pinus albicaulis) occurs in over two million acres within the six national forests and two national parks that comprise the Greater Yellowstone Ecosystem (GYE). Currently, whitebark pine, an ecologically important species, is impacted by multiple ecological disturbances; white pine blister rust (Cronartium ribicola), mountain pine beetle (DendroctonusAuthorsKristin Legg, Erin Shanahan, Rob Daley, Kathryn M. IrvineResponse of Yellowstone grizzly bears to changes in food resources: A synthesis. Final report to the Interagency Grizzly Bear Committee and Yellowstone Ecosystem Subcommittee
The Yellowstone grizzly bear (Ursus arctos) was listed as a threatened species in 1975 (Federal Register 40 FR:31734-31736). Since listing, recovery efforts have focused on increasing population size, improving habitat security, managing bear mortalities, and reducing bear-human conflicts. The Interagency Grizzly Bear Committee (IGBC; partnership of federal and state agencies responsible for grizzAuthorsFrank T. van Manen, Cecily M. Costello, Mark A. Haroldson, Daniel D. Bjornlie, Michael R. Ebinger, Kerry A. Gunther, Mary Frances Mahalovich, Daniel J. Thompson, Megan D. Higgs, Kathryn M. Irvine, Kristin Legg, Daniel B. Tyers, Lisa Landenburger, Steven L. Cain, Kevin L. Frey, Bryan C. Aber, Charles C. SchwartzA comparison of adaptive sampling designs and binary spatial models: A simulation study using a census of Bromus inermis
Commonly in environmental and ecological studies, species distribution data are recorded as presence or absence throughout a spatial domain of interest. Field based studies typically collect observations by sampling a subset of the spatial domain. We consider the effects of six different adaptive and two non-adaptive sampling designs and choice of three binary models on both predictions to unsamplAuthorsKathryn M. Irvine, Jamie Thornton, Vickie M. Backus, Matthew G. Hohmann, Erik A. Lehnhoff, Bruce D. Maxwell, Kurt Michels, Lisa RewNon-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.
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