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:
  • Jan. 26, 2015: New paper in Methods in Ecology and Evolution on biodiversity inference from multispecies occupancy models :

    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.

  • Jan. 15, 2015: New paper accepted in Environmetrics that investigates spatial confounding and restricted regression for geostatistical models:

    Hanks, E.M., E. Schliep, M.B. Hooten, and J.A. Hoeting. (In Press). Restricted spatial regression in practice: Geostatistical models, confounding, and robustness under model misspecification. Environmetrics.

  • Jan. 13, 2015: New paper accepted in Methods in Ecology and Evolution that describes an issue associated with some presence-only data and potential ways to handle it:

    Hefley, T.J. and M.B. Hooten. (In Press). On the existence of maximum likelihood estimates for presence-only data. Methods in Ecology and Evolution.

  • Jan. 2, 2015: New paper accepted in Annals of Applied Statistics that presents a highly flexible approach to modeling animal movement:

    Hanks, E.M., M.B. Hooten, and M. Alldredge. (In Press). Continuous-time discrete-space models of animal movement. Annals of Applied Statistics.

  • Dec. 18, 2014: New paper accepted in Ecological Applications that investigates spatio-temporal population dynamics of waterfowl:

    Ross, B.E., M.B. Hooten, J-M DeVink, and D.N. Koons. (In Press). The importance of climate, predation, and density dependence in waterfowl population regulation. Ecological Applications.

  • Dec. 16, 2014: New paper in Ecology and Evolution that presents an integrated population model for the Gunnison Sage-Grouse:

    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.

  • Dec. 4, 2014: New paper in Movement Ecology that describes the differences and similarities among discrete and continuous time models for animal movement:

    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.