Results
Select papers using Snapshot USA data
Kays, R., Snider, M.H., Hess, G., Cove, M.V., Jensen, A., Shamon, H., McShea, W.J., Rooney, B., Allen, M.L., Pekins, C.E. and Wilmers, C.C., 2024.
Climate, food and humans predict communities of mammals in the United States
Diversity and Distributions, 30(9), p.e13900
Rooney, B., Kays, R., Cove, M.V., Jensen, A., Goldstein, B.R., Pate, C., Castiblanco, P., Abell, M.E., Adley, J., Agenbroad, B. and Ahlers, A.A., 2025.
SNAPSHOT USA 2019–2023: The first five years of data from a coordinated camera trap survey of the United States
Global Ecology and Biogeography, 34(1), p.e13941
Born-digital biodiversity data collections
Kays, R., McShea, W.J. and Wikelski, M., 2020. Born‐digital biodiversity data: Millions and billions. Diversity and Distributions, 26(5), pp.644-648.
Born‐digital biodiversity data: Millions and billions
The utility of camera trapping
Steenweg, R., Hebblewhite, M., Kays, R., Ahumada, J., Fisher, J.T., Burton, C., Townsend, S.E., Carbone, C., Rowcliffe, J.M., Whittington, J. and Brodie, J., 2017.
Scaling‐up camera traps: Monitoring the planet's biodiversity with networks of remote sensors
Frontiers in Ecology and the Environment, 15(1), pp.26-34
Kays, R., Lasky, M., Allen, M.L., Dowler, R.C., Hawkins, M.T., Hope, A.G., Kohli, B.A., Mathis, V.L., McLean, B., Olson, L.E. and Thompson, C.W., 2022.
Which mammals can be identified from camera traps and crowdsourced photographs?
Journal of Mammalogy, 103(4), pp.767-775
Oliver, R.Y., Iannarilli, F., Ahumada, J., Fegraus, E., Flores, N., Kays, R., Birch, T., Ranipeta, A., Rogan, M.S., Sica, Y.V. and Jetz, W., 2023.
Camera trapping expands the view into global biodiversity and its change
Philosophical Transactions of the Royal Society B: Biological Sciences, 378(1881)