Cooperative Fish and Wildlife Research Units Program: Colorado
Education, Research and Technical Assistance for Managing Our Natural Resources

Colorado Staff Member

Dr. Mevin B Hooten

Mevin Hooten, Assistant Unit Leader
Assistant Unit Leader
Phone: (970) 491 - 1415
Faculty Website

Education

  • Ph D University of Missouri 2006
  • MS University of Missouri 2001
  • BS Kansas State University 1999

Biography

Spatial, Temporal, and Spatio-Temporal Ecological Modeling using Bayesian Methods and Hierarchical Models.

Research Publications Publication Date
Xiao X., E.P. White, M.B. Hooten, and S.L. Durham. (2011). On the use of log-transformation vs. nonlinear regression for analyzing biological power-laws. Ecology, 92: 1887-1894. December 2011
Wilson, T.L., J.B. Odei, M.B. Hooten, and T.C. Edwards (2010). Hierarchical spatial models for predicting pygmy rabbit distribution and relative abundance. Journal of Applied Ecology, 47: 401-409. December 2010
Wilson, R.R., T.L. Blankenship, M.B. Hooten, and J.A. Shivik. (2010). Prey-mediated avoidance of an intraguild predator by its intraguild prey. Oecologia, 164: 921-929. December 2010
Wilson, R.R., M.B. Hooten, B.N. Strobel, and J.A. Shivik (2010). Accounting for individuals, uncertainty, and multi-scale clustering in core area estimation. Journal of Wildlife Management, 74: 1343-1352. December 2010
Williams, P.J., M.B. Hooten, J.N. Womble, G.G. Esslinger, and M.R. Bower. (2018). Monitoring dynamic spatio-temporal ecological processes optimally. Ecology, 99: 524-535. May 2018
Williams, P.J., M.B. Hooten, J.N. Womble, G.G. Esslinger, M.R. Bower, and T.J. Hefley. (2017). Estimating occupancy and abundance using aerial images with imperfect detection. Methods in Ecology and Evolution, 8: 1679-1689. July 2017
Williams, P.J., M.B. Hooten, J.N. Womble, G.G. Esslinger, M.R. Bower, and T.J. Hefley. (2017). An integrated data model to estimate spatio-temporal occupancy, abundance, and colonization dynamics. Ecology, 98: 328-336. March 2017
Williams, P.J., M.B. Hooten, G.G. Esslinger, J.N. Womble, J. Bodkin, and M.R. Bower. (2019). The rise of an apex predator following deglaciation. Diversity and Distributions, 25: 895-908. May 2019
Williams, P.J. and M.B. Hooten. (2016). Combining statistical inference and decisions in ecology. Ecological Applications, 26: 1930-1942. December 2016
Williams, P. J., W. L. Kendall, and M. B. Hooten. 2019. Choosing ecological models using multi-objective optimization. Ecological Modelling 404:21-26. July 2019
Wikle, C.K., W.B. Leeds, and M.B. Hooten. (2016). Models for ecological models: Ocean primary productivity. Chance, 29 (2): 23. December 2016
Wikle, C.K. and M.B. Hooten (2010). A general science-based framework for nonlinear spatio-temporal dynamical models. TEST, 19: 417-451. December 2010
Wikle, C.K. and M.B. Hooten (2006). Hierarchical Bayesian Spatio-Temporal Models for Population Spread. Clark, J.S. and A. Gelfand (eds). In: Applications of Computational Statistics in the Environmental Sciences: Hierarchical Bayes and MCMC Methods. Oxford University Press. December 2006
Ver Hoef, J.M., E.M. Hanks, and M.B. Hooten. (2018). On the relationship between conditional (CAR) and simultaneous (SAR) autoregressive models. Spatial Statistics, 25: 68-85. July 2018
Ver Hoef, J.M., E.E. Peterson, M.B. Hooten, E.M. Hanks, and M-J. Fortin. (2018). Spatial autoregressive models for statistical inference from ecological data. Ecological Monographs, 88: 36-59. March 2018
Tredennick, A.T., M.B. Hooten, and P.B. Adler. (2017). Do we need demographic data to forecast the state of plant populations? Methods in Ecology and Evolution, 8: 541-551. June 2017
Tredennick, A.T., M.B. Hooten, C.L. Aldridge, C.G. Homer, A. Kleinhesselink, and P.B. Adler. (2016). Forecasting climate change impacts on plant populations over large spatial extents. Ecosphere,7: e01525. December 2016
Tipton, J.R., M.B. Hooten, C. Nolan, R.K. Booth, and J. McLachlan. (2019). Predicting paleoclimate from compositional data using multivariate Gaussian process inverse prediction. Annals of Applied Statistics, 13: 2363-2388. February 2019
Tipton, J., M.B. Hooten, and S. Goring. (2017). Reconstruction of spatio-temporal temperature from sparse historical records using robust probabilistic principal component regression. Advances in Statistical Climatology, Meteorology and Oceanography, 3: 1-16. January 2017
Tipton, J., M.B. Hooten, N. Pederson, M. Tingley, and D. Bishop. (2016). Reconstruction of late Holocene climate based on tree growth and mechanistic hierarchical models. Environmetrics, 27: 42-54. December 2016
Steger, C., B. Butt, and M.B. Hooten. (2017). Safari Science: Assessing the reliability of citizen science data for wildlife surveys. Journal of Applied Ecology, 54: 2053-2062. October 2017
Small, R.J., B.M. Brost, M.B. Hooten, M. Castellote, and J. Mondragon. (2017). Anthropogenic noise in Cook Inlet beluga critical habitat: Potential for spatial displacement. Endangered Species Research, 32: 43-57. February 2017
Schmelter, M.L., P. Wilcock, M.B. Hooten, and D.K. Stevens. (2015). Multi-fraction Bayesian sediment transport model. Journal of Marine Science and Engineering, 3: 1066-1092. September 2015
Schmelter, M.L., M.B. Hooten, and D.K. Stevens. (2011). Bayesian sediment transport model for uni-size bedload. Water Resources Research, 47: W11514. December 2011
Scharf, H.R., M.B. Hooten, and D.S. Johnson. (2017). Imputation approaches for animal movement modeling. Journal of Agricultural, Biological, and Environmental Statistics, 22: 335-352. June 2017
Scharf, H.R., M.B. Hooten, R.R. Wilson, G.M. Durner, T.C. Atwood (2019). Accounting for phenology in the analysis of animal movement. Biometrics, 75: 810-820. September 2019
Scharf, H.R., M.B. Hooten, D.S. Johnson, and J. Durban. (2018). Process convolution approaches for modeling interacting trajectories. Environmetrics, 29: e2487. February 2018
Scharf, H.R., M.B. Hooten, B.K. Fosdick, D.S. Johnson, J.M. London, and J.W. Durban. (2016). Dynamic social networks based on movement. Annals of Applied Statistics,10: 2182-2202. December 2016
Ruiz-Gutierrez, V., M.B. Hooten, and E.H. Campbell Grant. (2016). Uncertainty in biological monitoring: a framework for data collection and analysis to account for multiple sources of sampling bias. Methods in Ecology and Evolution, 7: 900-909. August 2016
Ross, B.E., M.B. Hooten, and D.N. Koons. (2012). An accessible method for implementing hierarchical models with spatio-temporal abundance data. PLoS One, 7: e49395. November 2012
Ross, B.E., M.B. Hooten, J-M. DeVink, and D.N. Koons. (2015). Combined effects of climate, predation, and density dependence on Greater and Lesser Scaup population dynamics. Ecological Applications, 25: 1606-1617. September 2015
Roberts, J.J., K.D. Fausch, D.P. Peterson, and M.B. Hooten. (2013). Fragmentation and thermal risks from climate change interact to affect persistence of native trout in the Colorado River basin. Global Change Biology, 19: 1383-1398. March 2013
Raiho, A., M.B. Hooten, S. Bates, and N.T. Hobbs. (2015). Forecasting the effects of fertility control on overabundant ungulates: White-tailed deer in the National Capital region. PLoS One, 10: e0143122. December 2015
Peterson, E.E., E.M. Hanks, M.B. Hooten, J.M. Ver Hoef, and M.-J. Fortin. (2019). Spatially structured statistical network models for landscape genetics. Ecological Monographs, 89: e01355. April 2019
Pejchar, L., M.B. Hooten, and G.Daily. (2018). Unique effects of large-scale forest restoration on native and exotic birds in Hawaii. Diversity and Distribution, 24: 811-819. May 2018
Odei, J.B., M.B. Hooten, and J. Jin. (2009). Hierarchical spatio-temporal models for intermountain snow water storage. In JSM Proceedings, Section on Statistics and the Environment. Alexandria, VA: American Statistical Association. 870-878. December 2009
Northrup, J.M., M.B. Hooten, C.R. Anderson, and G. Wittemyer. (2013). Practical guidance on characterizing availability in resource selection functions under a use-availability design. Ecology, 94: 1456-1463. Ecology, In Press. July 2013
Northrup, J.M., C.R. Anderson, M.B. Hooten, and G. Wittemyer. (2016). Movement reveals scale-dependence in habitat selection of a large ungulate. Ecological Applications, 26: 2746-2757. January 2016
Nippert, J.B., M.B. Hooten, D.R. Sandquist, and J.K. Ward (2010). A Model for predicting El Nino events using tree-ring cellulose del18O. Journal of Geophysical Research, 115: 1-9. December 2010
Mock, K.E., C.A. Rowe, M.B. Hooten, J. DeWoody, and V.D. Hipkins (2008). Clonal dynamics in western North American aspen (Populus tremuloides). Molecular Ecology, 17: 4827-4844. December 2008
Meredith, C.S., P. Budy, and M. Hooten, and M. O. Prates. 2016. Assessing abiotic conditions influencing the longitudinal distribution of exotic brown trout in a mountain stream: a spatially-explicit modeling approach. Biological Invasions. DOI 10.1007/s10530-016-1322-z. USGS IP-069503 | Abstract November 2016
McClintock, B.T., D.S. Johnson, M.B. Hooten, J.M. Ver Hoef, and J.M. Morales. (2014). When to be discrete: the importance of time formulation in understanding animal movement. Movement Ecology, 2: 21. October 2014
Lu, X., P.J. Williams, M.B. Hooten, J.A. Powell, J.N. Womble, and M.R. Bower. (2020). Nonlinear reaction-diffusion process models improve inference for population dynamics. Environmetrics, 31: e2604. February 2020
Lepak, J.M., M.B. Hooten, and B.M. Johnson. (2012). The influence of marine subsidies on diet, growth, and Hg concentrations of freshwater sport fish: tertiary impacts on fisheries and human health. Ecotoxicology, 21: 1878-1888. October 2012
Lepak, J.M., M.B. Hooten, C.A. Eagles-Smith, M.A. Lutz, M.T. Tate, J.T. Ackerman, J.J. Willacker Jr., D.C. Evers, J. Davis, C.F. Pritz, J.G. Wiener. (2016). Assessing mercury concentrations in fish across western Canada and the United States: potential health risks to fish and humans. Science of the Total Environment, 571: 342-354. December 2016
Lepak, J.M., C.N. Cathcart, and M.B. Hooten. (2012). Otolith weight as a predictor of age in kokanee salmon (Oncorhynchus nerka) from four Colorado reservoirs. Canadian Journal of Fisheries and Aquatic Sciences, 69: 1569-1575. October 2012
Larsen, R.T., J.A. Bissonette, J.T. Flinders, M.B. Hooten, and T.L. Wilson (2010). Summer spatial patterning of Chukars in relation to free water in Western Utah. Landscape Ecology, 25: 135-145. December 2010
Ketz, A.C., T.L. Johnson, R.J. Monello, J. Mack, J.L. George, B.R. Kraft, M.A. Wild, M.B. Hooten, and N.T. Hobbs. (2018). Estimating abundance of an open population with an N-mixture model using auxiliary data on animal movements. Ecological Applications, 28: 816-825. January 2018
Ketz, A.C., T.L. Johnson, M.B. Hooten, and N.T. Hobbs. (2019). A hierarchical Bayesian approach for handling missing classification data. Ecology and Evolution, 9: 3130-3140. January 2019
Johnson, D.S., P.B. Conn, M.B. Hooten, J. Ray, and B. Pond. (2013). Spatial occupancy models for large data sets. Ecology, 94: 801-808. April 2013
Johnson, D.S., M.B. Hooten, and C.E. Kuhn. (2013). Estimating animal resource selection from telemetry data using point process models. Journal of Animal Ecology, 82: 1155-1164. November 2013
Itter, M.S., A.O. Finley, M.B. Hooten, P.E. Higuera, J.R. Marlon, R. Kelly, and J.S. McLachlan. (2018). A model-based approach to wildland fire reconstruction using sediment charcoal records. Environmetrics, 22: e2450. April 2018
Hooten, M.B., X. Lu, M.J. Garlick, and J.A. Powell. (2020). Animal movement models with mechanistic selection functions. Spatial Statistics, 37: 100406. February 2020
Hooten, M.B., W.B. Leeds, J. Fiechter, and C.K. Wikle. (2011). Assessing first-order emulator inference for physical parameters in nonlinear mechanistic models. Journal of Agricultural, Biological, and Environmental Statistics, 16: 475-494. December 2011
Hooten, M.B., M.J. Garlick, and J.A. Powell. (2013). Computationally efficient statistical differential equation modeling using homogenization. Journal of Agricultural, Biological and Environmental Statistics, 18: 405-428. September 2013
Hooten, M.B., M.J. Garlick, and J.A. Powell. (2009). Advantageous change of support in inverse implementations of statistical differential equation models. In JSM Proceedings, Section on Bayesian Statistical Science. Alexandria, VA: American Statistical Association. 1847-1857. December 2009
Hooten, M.B., Larsen, D.R., and C.K. Wikle, (2003). Predicting the spatial distribution of ground flora on large domains using a hierarchical Bayesian model. Landscape Ecology , 18, 487-502. December 2003
Hooten, M.B., Johnson, D.S., Hanks, E.M., and J.H. Lowry. (2010). Agent-based inference for animal movement and selection. Journal of Agricultural, Biological and Environmental Statistics, 15: 523-538. December 2010
Hooten, M.B., J.M. Ver Hoef, and E.M. Hanks. (2019). Simultaneous autoregressive (SAR) model. Wiley StatsRef: Statistics Reference Online. September 2019
Hooten, M.B., H.R. Scharf, and J.M. Morales. (2019). Running on empty: Recharge dynamics from animal movement data. Ecology Letters, 22: 377-389. January 2019
Hooten, M.B., H.R. Scharf, T.J. Hefley, A. Pearse, and M. Weegman. (2018). Animal movement models for migratory individuals and groups. Methods in Ecology and Evolution, 9: 1692-1705. January 2018
Hooten, M.B., F.E. Buderman, B.M. Brost, E.M. Hanks, and J.S. Ivan. (2016). Hierarchical animal movement models for population-level inference. Environmetrics, 27: 322-333. December 2016
Hooten, M.B., E.M. Hanks, D.S. Johnson, and M.W. Alldredge. (2014). Temporal variation and scale in movement-based resource selection functions. Statistical Methodology, 17: 82-98. March 2014
Hooten, M.B., E.M. Hanks, D.S. Johnson, and M.W. Alldredge. (2013). Reconciling resource utilization and resource selection functions. Journal of Animal Ecology, 82: 1146-1154. April 2013
Hooten, M.B., D.S. Johnson, B.T. McClintock, and J.M. Morales. (2017). Animal Movement: Statistical Models for Telemetry Data. Chapman and Hall\CRC. February 2017
Hooten, M.B., C.K. Wikle, S. Sheriff, and J. Rushin (2009). Optimal spatio-temporal hybrid sampling designs for ecological monitoring. Journal of Vegetation Science, 20: 639-649. December 2009
Hooten, M.B., C.K. Wikle, R.M. Dorazio, and J.A. Royle (2007). Hierarchical spatio-temporal matrix models for characterizing invasions. Biometrics, 63: 558-567. December 2007
Hooten, M.B., C.K. Wikle, L.D. Carlile, R. Warner, and D. Pitts (2009). Hierarchical population models for the red-cockaded woodpecker. Rich, T.D., M. C. Arizmendi, D. Demarest and C. Thompson (eds). Tundra to Tropics: Connecting Birds, Habitats and People. Proceedings of the 4th International Partners in Flight Conference, 13-16 February 2008. McAllen, TX. University of Texas-Pan American Press. Edinburg, TX. pgs. 354-364. December 2009
Hooten, M.B., B.E. Ross, and C.K. Wikle. (2012). Optimal spatio-temporal monitoring designs for characterizing population trends. Gitzen, R.A., J.J. Millspaugh, A.B. Cooper, and D.S. Licht (eds). In: Design and Analysis of Long-Term Ecological Monitoring Studies. Cambridge University Press. May 2012
Hooten, M.B., Anderson, J., and L.A. Waller. (2010). Assessing North American influenza dynamics with a statistical SIRS model. Spatial and Spatio-Temporal Epidemiology, 1: 177-185. December 2010
Hooten, M.B. and T.J. Hefley. (2019). Bringing Bayesian Models to Life. Chapman & Hall/CRC. June 2019
Hooten, M.B. and N.T. Hobbs. (2015). A guide to Bayesian model selection for ecologists. Ecological Monographs. 85: 3-28. February 2015
Hooten, M.B. and E. Cooch. (2019). Comparing ecological models. Marcot, B., A. Tri, and L. Brennan (eds). In: Quantitative Analysis in Wildlife Science. Johns Hopkins University Press. August 2019
Hooten, M.B. and D.S. Johnson. (2019). Modeling Animal Movement. Gelfand, A.E., M. Fuentes, and J.A. Hoeting (eds). In Handbook of Environmental and Ecological Statistics. Chapman & Hall/CRC. January 2019
Hooten, M.B. and D.S. Johnson. (2017). Basis function models for animal movement. Journal of the American Statistical Association, 112: 578-589. October 2017
Hooten, M.B. and C.K. Wikle (2010). Statistical Agent-Based Models for Discrete Spatio-Temporal Systems. Journal of the American Statistical Association, 105: 236-248. December 2010
Hooten, M.B. and C.K. Wikle (2008). A Hierarchical Bayesian non-linear spatio-temporal model for the spread of invasive species with application to the Eurasian Collared-Dove. Environmental and Ecological Statistics, 15(1): 59-70. December 2008
Hooten, M.B. and C.K. Wikle (2007). Shifts in the spatio-temporal growth dynamics of shortleaf pine. Environmental and Ecological Statistics, 14(3): 207-227. December 2007
Hooten, M.B. and C.K. Wikle (2007). Invasions, Epidemics, and Binary Data in a Cellular World. 2007 Proceedings of the American Statistical Association [CD-ROM], Alexandria, VA: American Statistical Association: pp. 3999-4010. December 2007
Hooten, M.B. and C.K. Wikle (2006). Spatio-temporal processes in ecology: A gentle introduction. Journal of Biogeography 33, 1150-1152. Book Review: Reiners, W.A. and K.L. Driese. (2004) Transport processes in nature: propagation of ecological influences through environmental space. Cambridge University Press. December 2006
Hooten, M.B. (2011). The State of Spatial and Spatio-Temporal Statistical Modeling. In: Predictive Modeling in Landscape Ecology. Drew A., F. Huettman, and Y. Wiersma (eds). In: Predictive Modeling in Landscape Ecology. December 2011
Hooten, M.B. (2007). Journal of the American Statistical Association. Book Review: Le, N.D. and J.V. Zidek. (2006) Statistical Analysis of Environmental Space-Time Processes. Springer-Verlag. December 2007
Hooten, M.B, R.R. Wilson, and J.A. Shivik (2008). Hard core or soft core: On the characterization of animal space use. 2008 Proceedings of the American Statistical Association [CD-ROM], Alexandria, VA: American Statistical Association: pp. 1301-1308. December 2008
Hobbs, N.T., C. Geremia, J. Treanor, R. Wallen, P.J. White, M.B. Hooten, and J.C. Rhyan. (2015). State-space modeling to support adaptive management of brucellosis in the Yellowstone bison population. Ecological Monographs, 85: 525-556. November 2015
Hobbs, N.T. and M.B. Hooten. (2015). Bayesian Models: A Statistical Primer for Ecologists. Princeton University Press. December 2015
Hefley, T.J., M.B. Hooten, R.E. Russell, D.P. Walsh, and J. Powell. (2017). When mechanism matters: Forecasting the spread of disease using ecological diffusion. Ecology Letters, 20: 640-650. September 2017
Hefley, T.J., M.B. Hooten, J.M. Drake, R.E. Russell, and D.P. Walsh. (2016). When can the cause of a population decline be determined? Ecology Letters, 19: 1353-1362. December 2016
Hefley, T.J., M.B. Hooten, E.M. Hanks, R.E. Russell, and D.P. Walsh. (2017). Dynamic spatio-temporal models for spatial data. Spatial Statistics, 20: 206-220. March 2017
Hefley, T.J., M.B. Hooten, E.M. Hanks, R.E. Russell, and D.P. Walsh. (2017). The Bayesian spatial group lasso. Journal of Agricultural, Biological, and Environmental Statistics, 22: 42-59. February 2017
Hefley, T.J., K.M. Broms, B.M. Brost, F.E. Buderman, S.L. Kay, H.R. Scharf, J.R. Tipton, P.J. Williams, and M.B. Hooten. (2017). The basis function approach to modeling dependent ecological data. Ecology, 98: 632-646. March 2017
Hefley, T.J., B.M. Brost, and M.B. Hooten. (2017). Bias correction of bounded location errors in presence-only data. Methods in Ecology and Evolution, 8: 1566-1573. January 2017
Hefley, T.J. and M.B. Hooten. (2016). Hierarchical species distribution models. Current Landscape Ecology Reports, 1: 87-97. December 2016
Hefley, T.J. and M.B. Hooten. (2015). On the existence of maximum likelihood estimates for presence-only data. Methods in Ecology and Evolution, 6: 648-655. December 2015
He, H.S., D.C. Dey, X. Fan, M.B. Hooten, J.M. Kabrick, C.K. Wikle, and Z. Fan (2007). Mapping pre-European settlement vegetation using a hierarchical Bayesian model and GIS. Plant Ecology, 191: 85-94. December 2007
Hanks, E.M., M.B. Hooten, and M. Alldredge. (2015). Continuous-time discrete-space models for animal movement. Annals of Applied Statistics, 9: 145-165. March 2015
Hanks, E.M., M.B. Hooten, and F.A. Baker. (2011). Reconciling multiple data sources to improve accuracy of large-scale prediction of forest disease incidence. Ecological Applications, 24: 1173-1188. December 2011
Hanks, E.M., M.B. Hooten, S.A. Knick, S.J. Oyler-McCance, J.A. Ficke, T.B. Cross, and M.K. Schwartz. (2016). Latent spatial models and sampling design for landscape genetics. Annals of Applied Statistics, 10: 1041-1062. June 2016
Hanks, E.M., M.B. Hooten, D.S. Johnson, and J. Sterling. (2011). A velocity-based approach for linking animal telemetry data to environmental drivers of movement. PLoS One, 6(8), e22795. December 2011
Hanks, E.M., E. Schliep, M.B. Hooten, and J.A. Hoeting. (2015). Restricted spatial regression in practice: Geostatistical models, confounding, and robustness under model misspecification. Environmetrics. 26: 243-254. December 2015
Hanks, E.M., D.S. Johnson, and M.B. Hooten. (2017). Reflected stochastic differential equation models for constrained animal movement. Journal of Agricultural, Biological, and Environmental Statistics, 22: 353-372. September 2017
Hanks, E.M. and M.B. Hooten. (2013). Circuit theory and model-based inference for landscape connectivity. Journal of the American Statistical Association, 108: 22-33. March 2013
Haas, S.E., M.B. Hooten, D. Rizzo, and R.K. Meentemeyer. (2011). Forest species diversity reduces disease risk in a generalist plant pathogen invasion. Ecology Letters, 14: 1108-1116. December 2011
Green, A.W., M.B. Hooten, E.H.C. Grant, and L.L. Bailey. (2013). Evaluating breeding and metamorph occupancy and vernal pool management effects for wood frogs using a hierarchical model. Journal of Applied Ecology, 50: 1116-1123. February 2013
Gerber, B.D., M.B. Hooten, C.P. Peck, M.B. Rice, J.H. Gammonley, A.D. Apa, and A.J. Davis. (2019). Extreme site fidelity as an optimal strategy in an unpredictable and homogeneous environment. Functional Ecology, 33: 1695-1707. | Download August 2019
Gerber, B.D., M.B. Hooten, C.P. Peck, M.B. Rice, J.H. Gammonley, A.D. Apa, and A.J. Davis. (2018). Accounting for location uncertainty in azimuthal telemetry data improves ecological inference. Movement Ecology, 6: 14. January 2018
Gerber, B. D., W. L. Kendall, M. B. Hooten, J. A. Dubovsky, and R. C. Drewien. 2015. Optimal population prediction of sandhill crane recruitment based on climate-mediated habitat limitations. Journal of Animal Ecology, DOI: 10.1111/1365-2656.12370 May 2015
Garlick, M.J., J.A. Powell, M.B. Hooten, and L. McFarlane. (2011). Homogenization of large-scale movement models in ecology. Bulletin of Mathematical Biology, 73: 2088-2108. December 2011
Davis, A.J., M.B. Hooten, R.S. Miller, M. Farnsworth, J. Lewis, M. Moxcey, and K.M. Pepin. (2016) Inferring invasive species abundance using removal data from management actions. Ecological Applications, 26: 2339-2346. January 2016
Davis, A.J., M.B. Hooten, M.L. Phillips, and P.F. Doherty. (2014). An integrated modeling approach to estimating Gunnison sage-grouse population dynamics: Combining index and demographic data. Ecology and Evolution, 4: 4247-4257. October 2014
Dalgleish, H.J., D.N. Koons, M.B. Hooten, C.A. Moffet, and P.B. Adler. (2011). The influence of climate on the demography of three dominant sagebrush steppe plants. Ecology, 92: 75-85. January 2011
Cruz, S.M., M.B. Hooten, K.P. Huyvaert, C. Proano, D.J. Anderson, J. Fox, and M. Wikelski. (2013). At–sea behavior varies with lunar phase in a nocturnal pelagic seabird, the swallow-tailed gull. PLoS One, 8: e56889. February 2013
Conn, P.B., Johnson, D.S., J.M. Ver Hoef, M.B. Hooten, J.M. London, and P.L. Boveng. (2015). Using spatio-temporal models to estimate animal abundance and infer ecological dynamics from survey counts. Ecological Monographs. 85: 235-252. December 2015
Conn, P.B., D.S. Johnson, P.J. Williams, S. Melin, and M.B. Hooten. (2018). A guide to Bayesian model checking for ecologists. Ecological Monographs, 88: 526-542. January 2018
Christianson, K.R., B.M. Johnson, M.B. Hooten, and J.J. Roberts. (2019). Estimating lake-climate responses from sparse data: An application to high elevation lakes. Limnology and Oceanography, 64: 1371-1385. April 2019
Christianson, K.R., B.M. Johnson, M.B. Hooten, and A.S. Denning. (2020). Compound effects of water clarity, inflow, wind, and climate warming on mountain lake thermal regimes. Aquatic Sciences, 82: 6. February 2020
Cangelosi, A.R. and M.B. Hooten (2009). Models for Bounded Systems with Continuous Dynamics. Biometrics, 65: 850-856. December 2009
Cangelosi, A.R. and M.B. Hooten (2007). Approximations to Continuous Dynamical Processes in Hierarchical Models. 2007 Proceedings of the American Statistical Association [CD-ROM], Alexandria, VA: American Statistical Association: pp. 1281-1287. December 2007
Buderman, F.E., M.B. Hooten, M.W. Alldredge, E.M. Hanks, and J.S. Ivan. (2018). Time-varying predatory behavior is primary predictor of fine-scale movement of wildland-urban cougars. Movement Ecology, 6: 22. January 2018
Buderman, F.E., M.B. Hooten, J.S. Ivan, and T.M. Shenk. 2016. A functional model for characterizing long distance movement behavior. Methods in Ecology and Evolution 7(3): 264–273. March 2016
Buderman, F.E., M.B. Hooten, J. Ivan, and T. Shenk. (2018). Large-scale movement behavior in a reintroduced predator population. Ecography, 41: 126-139. January 2018
Brost, B.M., M.B. Hooten, and R.J. Small. (2020). Model-based clustering reveals patterns in central place use of a marine top predator. Ecosphere, 11: e03123. May 2020
Brost, B.M., M.B. Hooten, and R.J. Small. (2017). Leveraging constraints and biotelemetry data to pinpoint repetitively used spatial features. Ecology, 98: 12-20. January 2017
Brost, B.M., M.B. Hooten, E.M. Hanks, and R.J. Small. (2015). Animal movement constraints improve resource selection inference in the presence of telemetry error. Ecology, 96: 2590-2597. December 2015
Broms, K.M., M.B. Hooten, and R.M. Fitzpatrick. (2016). Model selection and assessment for multi­species occupancy models. Ecology, 97: 1759-1770. December 2016
Broms, K.M., M.B. Hooten, and R. Fitzpatrick. (2015). Accounting for imperfect detection in Hill numbers for biodiversity studies. Methods in Ecology and Evolution. 6: 99-108. December 2015
Broms, K.M., M.B. Hooten, D.S. Johnson, L.L. Conquest, and R. Altwegg. (2016). Dynamic occupancy models for explicit colonization processes. Ecology, 97: 194-204. January 2016
Arab, A., M.B. Hooten, and C.K. Wikle (2007). Hierarchical Spatial Models. In: Encyclopedia of Geographical Information Science. Springer. December 2007
Project Completion Date
Cougar Movement Modeling June 2012
Environmental Effect on Harbor Seal Movement & Resource Selection June 2017
Heavy Metals in Cape Krusenstren National Monument June 2024
Moss Tissue Concentrations July 2021
Brook Trout Population June 2024
Lesser Prairie-Chicken September 2022
Genomic & Phenotypic Links December 2023
Modeling Tree Growth September 2021
Nearshore Ecosystem Glacier Bay December 2024
Woody Plants on the Move September 2021
Estimating the Role of National Wildlife Refuges December 2014
Wildlife Corridor Identification January 2016
Sage Grouse Connectivity & Gene Flow Modeling July 2014
Spatial Risk Factors August 2018
Adaptive Monitoring and Modeling of Sea Otters September 2020
Movement of Pinnipeds June 2017
Graphics and Analysis for Marine Mammal Research July 2018
Statistical Method to Estimate Boundaries December 2018
Spatial Data for Gunnison Sage grouse June 2017
Lynx & Cougar Movement June 2017
Colorado Plains Fish Optimal Monitoring June 2016

Post Doc
Xinyi.Lu@colostate.edu


PhD
hanna.mccaslin@colostate.edu

Presentations Presentation Date
Womble, J.N., P.J. Williams, M.B. Hooten, G.G. Esslinger, L. Taylor-Thomas, M.R. Bower, and H. Coletti. (2017). Combining Contemporary Spatiotemporal Models and Aerial Photographic Techniques to Estimate Sea Otter Colonization and Abundance in Glacier Bay, Alaska. Society for Marine Mammalogy Meetings, Halifax, Nova Scotia. October 2017
Womble, J.N., P.J. Williams, M.B. Hooten, G.G. Esslinger, M.R. Bower, and H. Colletti. National Park Service Centennial Science and Stewardship Symposium. 2016. Fairbanks, AK (contrib. talk). Title: Contemporary models and aerial photographic monitoring methods for a new vital sign: Sea otters in Glacier Bay National Park. October 2016
Williams, P.J., M.B. Hooten, J.N. Womble, G.G. Esslinger, and M.R. Bower. Joint Statistical Meetings: ASA. Baltimore, MD (contrib. talk, 2nd author), 2017, Title: Optimal dynamic sampling of a spreading population. August 2017
Williams, P.J., M.B. Hooten, J.N. Womble, G.G. Esslinger, and M.R. Bower. (2016). Contributed talk, Joint Statistical Meetings, Chicago, IL. Title: A spatio-temporal model for ecological colonizations. August 2016
Williams, P., M.B. Hooten, J.N. Womble, G.G. Esslinger, and M.R. Bower. International Statistical Ecology Conference. 2016. Seattle, WA. Contributed talk: A Spatio-Temporal Model to Infer Colonization Dynamics of Sea Otters in Glacier Bay, Alaska. June 2016
Williams, P. J., C. R. Ely, W. L. Kendall, M. B. Hooten, and J. A. Schmutz. 2014. Population dynamics and management of Cackling Geese. 21st Annual Conference of The Wildlife Society, Pittsburgh, PA. October 2014
Tipton, J., M.B. Hooten, and S. Goring. Joint Statistical Meetings: ASA. Baltimore, MD (contrib. talk, 2nd author), 2017, Title: Reconstruction of Spatio-Temporal Temperature from Sparse Historical Records Using Robust Probabilistic Principal Component Regression. August 2017
Tipton, J., M.B. Hooten, R. Booth, C. Nolan. Joint Statistical Meetings, Chicago, IL (2016). Multivariate Bayesian networks for modelling multispecies ecological communities and paleoclimate reconstruction. Contributed Talk. August 2016
Scharf, H.R., M.B. Hooten, B.K. Fosdick, D.S. Johnson, J.M. London, and J.W. Durbin. (2016). ISEC, Seattle, WA. Dynamic social networks based on movement. June 2016
Scharf, H.R., M.B. Hooten, B.K. Fosdick, D.S. Johnson, J.M. London, and J.W. Durban. (2016). Joint Statistical Meetings, Chicago, IL. Title: Dynamic social networks based on movement. August 2016
Scharf, H.J., M.B. Hooten, R.R. Wilson, G.M. Durner, and T.C. Atwood. (2018). Accounting for phenology in the analysis of animal movement. International Statistical Ecology Conference. July 2018
Scharf, H., M.B. Hooten, D.S. Johnson, and J. Durban. Joint Statistical Meetings: ASA. Baltimore, MD (topic contrib. talk, 2nd author), 2017, Title: Process convolution approaches for modeling interacting trajectories. August 2017
Ross, B.E., M.B. Hooten, and D.N. Koons. 2017. Evaluating the inference from dynamic occupancy models relative to population abundance. American Ornithology 2017, Michigan. July 2017
Peck, C., B.D. Gerber, and M.B. Hooten. Joint Statistical Meetings: ASA. Baltimore, MD (contrib. talk, 3rd author), 2017, Title: Hierarchical Bayesian models for azimuthal telemetry data. August 2017
Itter, M., A. Finley, M.B. Hooten, P. Higuera, J. Marlon, and J. McLachlan. (2016) American Geophysical Union Annual Mtg. San Francisco, CA (contrib. talk, 3rd author). Title: A Model-Based Approach to Infer Shifts in Regional Fire Regimes Over Time Using Sediment Charcoal Records. December 2016
Hooten, M.B., H.R. Scharf, T.J. Hefley, A.T. Pearse, M.D. Weegman. (2018). Animal movement models for migratory individuals and groups. The Wildlife Society Annual Meeting, Cleveland, OH. Invited Talk. October 2018
Hooten, M.B. and J.M. Morales. (2018). Animal movement models for recharge dynamics. International Statistical Ecology Conference. July 2018
Hooten, M.B. and D.S. Johnson. Joint Statistical Meetings, Chicago, IL. (2016). Basis function approaches for continuous-time Lagrangian movement modeling. Invited Talk. August 2016
Hooten, M.B. (2015) IALE World Congress, Portland, OR. Invited Talk: Statistical dimension reduction and computation in spatial ecology. July 2015
Hooten, M.B. (2014). Linking long-distance animal movement behavior and landscapes using multiscale functional models. Invited Presentation. Graybill Conference. Fort Collins, CO. September 2014
Hooten, M.B. The International Environmetrics Society Meeting. (2016). A progression in G: time series, spatial statistics, and the trajectories of ecological particles. Invited Plenary Seminar. July 2016
Hooten, M.B. (2018). Optimal adaptive monitoring: Past, present, and future. The Wildlife Society Annual Meeting, Cleveland, OH. Invited Talk. October 2018
Hooten, M.B. (2015) Joint Statistical Meetings, Seattle, WA. Invited Talk. Title: Linking Long-Distance Animal Movement Behavior and Landscapes Using Multiscale Functional Models. August 2015
Hooten, M.B. (2014). Fringe Benefits: The hidden utility of movement constraints in telemetry studies. Invited Presentation. International Statistical Ecology Conference. Montpellier, France. July 2014
Hefley, T.J., M.B. Hooten, E.M. Hanks, D.P. Walsh, and R.E. Russell. International Statistical Ecology Conference. 2016. Seattle, WA. (contributed talk) Title: Confounding in dynamic ecological processes. June 2016
Hefley, T., M.B. Hooten, E.M. Hanks, D. Walsh, R. Russell. (2016). Contributed talk. Joint Statistical Meetings, Chicago, IL. Title: Dynamically induced spatial confounding. August 2016
Hefley, T., M.B. Hooten, D. Walsh, and R. Russell. (2017) Expansion and Growth of Chronic Wasting Disease in Wisconsin. Midwest Fish and Wildlife Conference. Lincoln, NE. February 2017
Gerber, B. Kendall, W. Hooten, M., Dubovsky, J., Drewien, R. Predicting Juvenile Sandhill Crane Production From Ecologically-Driven Hypotheses Using Statistical Regularization October 2014
Gerber, B. D., W. L. Kendall, J. A. Dubovsky, R. C. Drewien, and M. B. Hooten. Annual variation of young of the year in the Rocky Mountain Population of Sandhill Cranes. 13th North American Crane Workshop. Lafayette, LA, USA. April 2014
Buderman, Hooten, Ivan, Shenk (2015). The Wildlife Society Annual Meeting, Winnipeg, Canada. Contributed talk. Spatial ecology and movement of reintroduced Canada lynx. October 2015
Buderman, F.E., M.B. Hooten, and M. Alldredge. The Wildlife Society Annual Meeting. (2016). Mountain lion movement dynamics in the wildland-urban interface. Contributed Talk. October 2016
Buderman, F.E., M.B. Hooten, and M. Alldredge. The Wildlife Society - CMPS meeting. (2016). Drivers of mountain lion movement in the Colorado Front Range. Contributed Talk. August 2016
Buderman, F.E. and M.B. Hooten. (2018). Basis functions for continuous-time models of animal movement. The Wildlife Society Annual Meeting, Cleveland, OH. Invited Talk. October 2018
Brost, Hooten, Hanks, Small. (2015). The Wildlife Society Annual Meeting, Winnipeg, Canada. Invited Talk: Animal movement constraints improve resource selection inference in the presence of telemetry error. October 2015
Brost, B.M., M.B. Hooten, and R.J. Small. (2016). International Statistical Ecology Conference. Seattle, WA. Invited Talk. Title: Locating harbor seal haul-out sites from Argos satellite telemetry data using a Dirichlet process. June 2016
Broms, K.M., M.B. Hooten, and R.M. Fitzpatrick. (2016). International Statistical Ecology Conference, Seattle, WA. Optimal adaptive sampling design for occupancy monitoring. June 2016
Broms, K.M., M.B. Hooten, and R.M. Fitzpatrick. (2016). Ecological Society of America, Annual Meeting. Contributed talk. Title: Model selection and assessment for multi-species occupancy models. August 2016
Broms, K.M., M.B. Hooten, and R.M. Fitzpatrick. (2016). AFS Colorado/Wyoming Chapter Annual Meeting, Laramie, WY. Spatial monitoring design for plains fishes in the South Platte River Basin. March 2016
Broms, K.M., M.B. Hooten, R. Fitzpatrick, and J.M. Ver Hoef. Joint Statistical Meetings: ASA. Baltimore, MD (contrib. talk, 2nd author), 2017, Title: Bayesian spatial stream network models. August 2017
Role and Organization Individual         Start Date        End Date       
Ecological Society of America - member Hooten January 2004 Present
American Statistical Association - member Hooten January 2004 Present