Dennett, J.M. & Nielsen, S.E. 2019. Detectability of species of Carex varies with abundance, morphology, and site complexity. Journal of Vegetation Science 30(2):352-361.

Dennett, J.M., Gould, A.J., Macdonald, S.E. & Nielsen S.E. 2018. Investigating detection success: lessons from trials using decoy rare plants. Plant Ecology 219: 577–589.

Coops, N.C., Tompaski, P., Nijland, W., Rickbeil, G.J.M., Nielsen, S.E., Bater, C.W. & Stadt, J.J. 2016. A forest structure habitat index based on airborne laser scanning data. Ecological Indicators 67: 346-357

Barber, Q.E., Bater, C.W., Braid, A.C.R., Coops, N.C., Tompalski, P. & Nielsen, S.E. 2016. Airborne laser scanning for modelling understory shrub abundance and productivity. Forest Ecology and Management 377: 46-54.

Boyce, M.S., Johnson, C.J., Merrill, E.H., Nielsen, S.E., Solberg, E.J. & van Moorter, B. 2016. Can habitat selection predict abundance? Journal of Animal Ecology 85: 11–20.

Carlson, R.I., Cattet, M.R.L., Sarauer, B.L., Nielsen, S.E., Boulanger, J., Stenhouse, G.B. & Janz, D.M. 2016. Development and application of an antibody-based protein microarray to assess physiological stress in grizzly bears (Ursus arctos). Conservation Physiology 4: 1-17.

Stolar J. & Nielsen S.E. 2015. Accounting for spatially biased sampling effort in presence-only species distribution modelling. Diversity and Distributions 21: 595–608.

Rovang, S., Nielsen, S.E. & Stenhouse, G. 2015. In the trap: detectability of fixed hair trap DNA methods in grizzly bear population monitoring. Wildlife Biology 21(2): 68–79.

Nijland, W., Coops, N.C., Nielsen, S.E. & Stenhouse, G. 2015. Integrating optical satellite data and airborne laser scanning in habitat classification for wildlife management. International Journal of Applied Earth Observation and Geoinformation 38: 242–250.

Nijland W., Nielsen S.E., Coops N.C., Wulder M.A. & Stenhouse G.B. 2014. Fine-spatial scale predictions of understory species using climate-and LiDAR-derived terrain and canopy metrics. Journal of Applied Remote Sensing 8(1): 083572-083572.

Zhang J., Nielsen S.E., Grainger T.N., Kohler M., Chipchar T. & Farr D.R. 2014. Sampling plant diversity and rarity at landscape scales: Importance of sampling time in species detectability. PloS ONE 9(4): e95334.

Smulders M., Nelson T.A., Jelinski D.E., Nielsen S.E., Stenhouse G.B. & Laberee K. 2012. Quantifying spatial–temporal patterns in wildlife ranges using STAMP: A grizzly bear example.   Applied Geography 35(1–2): 124–131.

Coops N.C., Hilker T., Bater C.W., Wulder M.A., Nielsen S.E., McDermid G. & Stenhouse G. 2012. Linking ground-based to satellite derived phenological metrics in support of habitat assessment. Remote Sensing Letters 3(3): 191-200.

Bater C.W., Coops N.C., Wulder M.A., Hilker T., Nielsen S.E., McDermid G. & Stenhouse G.B. 2011. Using digital time-lapse cameras to monitor species-specific understorey and overstorey phenology in support of wildlife habitat assessment. Environmental Monitoring & Assessment 180: 1-13.

Bater C.W., Coops N.C., Wulder M.A., Nielsen S.E., McDermid G. & Stenhouse G.B. 2011. Design and installation of a camera network across an elevation gradient for habitat assessment. Instrumentation Science & Technology 39: 231-247.

Smulders M., Nelson T.A., Jelinski D.E., Nielsen S.E. & Stenhouse G.B. 2010. A spatially explicit method for evaluating accuracy of species distribution models. Diversity and Distributions 16: 996-1008.

Nielsen S.E., Bayne E., Scheick J., Herbers J. & Boutin S.A. 2007. A new method to estimate species and biodiversity intactness using empirically derived reference conditions. Biological Conservation 137: 403-414.

Gillies C.S., Hebblewhite M., Nielsen S.E., Krawchuk M.A., Aldridge C.L., Frair J.L., Saher D.J., Stevens C.E. & Jerde C.L. 2006. Application of random effects to the study of resource selection by animals. Journal of Animal Ecology 75: 887-898.

Johnson C.J., Nielsen S.E., McDonald T.L., Merrill E. & Boyce M.S. 2006. Resource selection functions based on use-availability data: theoretical motivation and evaluation methods. Journal of Wildlife Management 70: 347-357.

Nielsen S.E., Johnson C., Heard D.C. & Boyce M.S. 2005. Can models of presence-absence be used to scale abundances? Two case studies considering extremes in life history. Ecography 28: 197-208.

Frair J.L., Nielsen S.E., Merrill E.H., Lele S., Boyce M.S., Munro R.H.M., Stenhouse G.B. & Beyer H.L. 2004. Removing GPS-collar bias in habitat-selection studies. Journal of Applied Ecology 41: 201-212.

Hanser, S.E., Leu, M., Aldridge, C.L., Nielsen, S.E. & Knick, S.T. 2011. Occurrence of small mammals: Deer mice and the challenge of trapping across large spatial extents. Pp. 337–356 in Hanser, S.E., Leu, M., Knick, S.T. & Aldridge, C.L. (editors), Sagebrush Ecosystem Conservation and Management: Ecoregional Assessment Tools and Models for the Wyoming Basins. Allen Press, Lawrence, KS.

Aldridge, C.L., Hanser, S.E., Nielsen, S.E., Leu, M., Cade, B.S., Saher, D.J. & Knick, S.T. 2011. Detectability adjusted count models of songbird abundance. Pp. 141 – 220 in Hanser, S.E., Leu, M., Knick, S.T. & Aldridge, C.L. (editors), Sagebrush Ecosystem Conservation and Management: Ecoregional Assessment Tools and Models for the Wyoming Basins. Allen Press, Lawrence, KS.

Leu, M., Hanser, S.E., Aldridge, C.L., Nielsen, S.E., Cade, B.S. & Knick, S.T.  2011. A sampling and analytical approach to develop spatial distribution models for sagebrush-associated species. Pp. 88–111 in Hanser, S.E., Leu, M., Knick, S.T. & Aldridge, C.L. (editors), Sagebrush Ecosystem Conservation and Management: Ecoregional Assessment Tools and Models for the Wyoming Basins. Allen Press, Lawrence, KS.

Rovang, S.B. 2013. Factors affecting the detectability and eastern distribution of grizzly bears in Alberta, Canada. M.Sc. Thesis, University of Alberta, Edmonton, Alberta, Canada.