Mevin B. Hooten
Associate Professor
Department of Fish, Wildlife, and Conservation Biology
Department of Statistics
Colorado State University

Office Location: 201 Wagar
Office Phone: 970.491.1415
Fax: 970.491.1413
Email: Mevin.Hooten "at" colostate.edu

Recent News:
  • November 10, 2016: New paper accepted in the North American Journal of Fisheries Management on the effects of climate change and invasive species

    Roberts, J.J., K.D. Fausch, M.B. Hooten, and D.P. Peterson. (In Press). Nonnative trout invasions combined with climate change threaten persistence of isolated cutthroat trout populations in the southern Rocky Mountains. North American Journal of Fisheries Management. (pdf)

  • November 4, 2016: New paper accepted in Endangered Species Research that examines the effects of noise on beluga:

    Small, R.J., B.M. Brost, M.B. Hooten, M. Castellote, and J. Mondragon. (In Press). Potential for spatial displacement of Cook Inlet beluga whales by anthropogenic noise in critical habitat. Endangered Species Research. (pdf)

  • November 1, 2016: New paper accepted in Biological Invasions on brown trout in Utah:

    Meredith, C.S., P. Budy, M.B. Hooten, and M.O. Prates. (In Press). Assessing abiotic conditions influencing the longitudinal distribution of exotic brown trout (Salmo trutta) in a mountain stream: a spatially-explicit modeling approach Biological Invasions. (pdf)

  • October 25, 2016: New paper in Ecosphere that uses remotely sensed data to model sagebrush populations over large scales:

    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. (pdf)

  • October 24, 2016: New paper accepted in Ecology that reviews spatial and temporal modeling approaches using basis functions specifications:

    Hefley, T.J., K.M. Broms, B.M. Brost, F.E. Buderman, S. Kay, H.R. Scharf, J.R. Tipton, P.J. Williams, and M.B. Hooten. (In Press). The basis function approach to modeling autocorrelation in ecological data. Ecology. (pdf)

  • October 17, 2016: New paper in Ecology Letters that discusses temporal confounding in longitudinal population models:

    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. (pdf)

  • October 10, 2016: New paper accepted in Methods in Ecology and Evolution on demographic population models for large-scale plant systems:

    Tredennick, A.T., M.B. Hooten, and P.B. Adler. (In Press). Do we need demographic data to forecast the state of plant populations? Methods in Ecology and Evolution. (pdf)

  • October 7, 2016: New paper accepted in Ecology that describes a framework for combining data sources to estimate and predict spreading populations:

    Williams, P.J., M.B. Hooten, J.N. Womble, G.G. Esslinger, M.R. Bower, and T.J. Hefley. (In Press). An integrated data model to estimate spatio-temporal occupancy, abundance, and colonization dynamics. Ecology. (pdf)

  • October 3, 2016: New paper accepted in the Journal of the American Statistical Association that describes how to model animal movement trajectories with basis functions:

    Hooten, M.B. and D.S. Johnson. (In Press). Basis function models for animal movement. Journal of the American Statistical Association. (pdf)

  • September 29, 2016: New paper accepted in Ecology that describes how to estimate central places using telemetry data:

    Brost, B.M., M.B. Hooten, and R.J. Small. (In Press). Leveraging constraints and biotelemetry data to pinpoint repetitively used spatial features. Ecology. (pdf)

  • September 17, 2016: New paper in Ecology that presents model checking and selection approaches for multispecies occupancy models:

    Broms, K.M., M.B. Hooten, and R.M. Fitzpatrick. (2016). Model selection and assessment for multi-species occupancy models. Ecology, 97: 1759-1770. (pdf)

  • September 9, 2016: New paper in Environmetrics that shows how to combine individual-level models for population-level inference:

    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. (pdf)