Publications

Elbroch, L. M., S. H. Williams, O. Ohrens, K. Pilgrim, A. K. Moeller, S. Arroyo-Arce, M. Parker, D. Goic, H. Robinson, and M. K. Schwartz. 2023. Comparing abundance estimates of a cryptic carnivore in southern Patagonia using two experimental methods. Animal Conservation. https://doi.org/10.1111/acv.12915.  

Londe, D., A. K. Moeller, P. M. Lukacs, S. Fuhlendorf, C. Davis, D. Elmore, and M. C. Chitwood. 2023. Review of range-wide vital rates quantifies Eastern Wild Turkey population trajectory. Ecology and Evolution:e9830. http://dx.doi.org/10.1002/ece3.9830.

McMurry, S., A. K. Moeller, J. Goerz, H. S. Robinson. 2022. Using space to event modeling to estimate density of multiple species in northeastern Washington. Wildlife Society Bulletin:e1390. http://doi.org/10.1002/wsb.1390.

Williams, P. J., A. K. Moeller, A. Granados, H. Bernard, R. C. Ong, and J. F. Brodie. 2022. Food availability alters community co-occurrence patterns at fine spatiotemporal scales in a tropical masting system. Oecologia 200:169-181. https://doi.org/10.1007/s00442-022-05252-2.

Moeller, A. K., S. J. Waller, N. J. DeCesare, M. C. Chitwood, and P. M. Lukacs. 2022. Best practices to account for capture probability and viewable area in camera-based abundance estimation. Remote Sensing in Ecology and Conservation. https://doi.org/10.1002/rse2.300.

Ansley, J., A. K. Moeller, and S. Fuhlendorf. 2022. Pyric-based restoration of C4 grasses in woody (Prosopis glandulosa) encroached grassland is best with an alternating seasonal fire regime. Restoration Ecology:e13644. http://doi.org/10.1111/rec.13644.

Ausband, D. E., P. M. Lukacs, M. Hurley, S. Roberts, K. Strickfaden, and A. K. Moeller. 2022. Estimating wolf abundance from cameras. Ecosphere 13(2):e3933. http://dx.doi.org/10.1002/ecs2.3933.

Chiewphasa, B. B. and A. K. Moeller. 2021. Reflections from transitioning Carpentries workshops online. Journal of eScience Librarianship 10(4):e1217. 10.7191/jeslib.2021.1217.

Moeller, A. K. and P. M. Lukacs. 2021. spaceNtime: an R package for estimating abundance of unmarked animals using camera-trap photographs. Mammalian Biology 102(1). https://doi.org/10.1007/s42991-021-00181-8

Moeller, A. K., J. J. Nowak, L. Neufeld, M. Bradley, M. Manseau, P. Wilson, S. McFarlane, P. M. Lukacs, and M. Hebblewhite. 2021. Integrating counts, telemetry, and non-invasive DNA data to improve demographic monitoring of an endangered species. Ecosphere 12(5):e03443. https://doi.org/10.1002/ecs2.3443    

Tabak, M., M. Norouzzadeh, D. Wolfson, S. Sweeney, K. Vercauteren, N. Snow, J. Halseth, P. Di Salvo, J. Lewis, M. White, B. Teton, J. Beasley, P. Schlichting, R. Boughton, B. Wight, E. Newkirk, J. Ivan, E. Odell, R. Brook, P. M. Lukacs, A. K. Moeller, E. Mandeville, J. Clune, and R. Miller. 2019. Machine learning to classify animal species in camera trap images: Applications in ecology. Methods in Ecology and Evolution 10:585-590 [cover article]. 10.1111/2041-210X.13120

Moeller, A. K., P. M. Lukacs, and J. S. Horne. 2018. Three novel methods to estimate abundance of unmarked animals using remote cameras. Ecosphere 9(8):e02331. 10.1002/ecs2.2331 

Moeller, A. K. 2022. Making "habitat quality" meaningful: Quantifying demographic effects of habitat in two sympatric species. Dissertation, University of Montana. 

Moeller, A. K. 2017. New methods to estimate abundance from unmarked populations using remote camera trap data. Thesis, University of Montana.

Moeller, A. K., P. M. Lukacs, and K. E. Loonam. spaceNtime: Running STE, TTE, and ISE models. R package version 1.1.2. https://github.com/annam21/spaceNtime.