Skip to main content
ARS Home » Plains Area » Fort Collins, Colorado » Center for Agricultural Resources Research » Rangeland Resources & Systems Research » People & Locations » Sean Kearney
Sean Kearney
Rangeland Resources & Systems Research
Research Ecologist

Phone: (970) 492-7139
Fax:

(Employee information on this page comes from the REE Directory. Please contact your front office staff to update the REE Directory.)


Publications (Clicking on the reprint icon Reprint Icon will take you to the publication reprint.)
Predictions of aboveground herbaceous production from satellite-derived APAR are more sensitive to ecosite than grazing management strategy in shortgrass steppe Reprint Icon - (Peer Reviewed Journal)
Peirce, E.S., Kearney, S.P., Santamaria, N., Augustine, D.J., Porensky, L.M. 2024. Predictions of aboveground herbaceous production from satellite-derived APAR are more sensitive to ecosite than grazing management strategy in shortgrass steppe. Remote Sensing. 16. Article 2780. https://doi.org/10.3390/rs16152780.
The LTAR common experiment at the Central Plains Experimental Range: Collaborative adaptive rangeland management Reprint Icon - (Peer Reviewed Journal)
Augustine, D.J., Derner, J.D., Porensky, L.M., Hoover, D.L., Ritten, J.P., Kearney, S.P., Ma, L., Peck, D.E., Wilmer, H.N. 2024. The LTAR common experiment at the Central Plains Experimental Range: Collaborative adaptive rangeland management. Journal of Environmental Quality. Article 1-9. https://doi.org/10.1002/jeq2.20599.
Toward broad-scale mapping and characterization of prairie dog colonies from airborne imagery using deep learning Reprint Icon - (Peer Reviewed Journal)
Kearney, S.P., Porensky, L.M., Augustine, D.J., Pellatz, D.W. 2023. Toward broad-scale mapping and characterization of prairie dog colonies from airborne imagery using deep learning. Ecological Indicators. 154. Article 110684. https://doi.org/10.1016/j.ecolind.2023.110684.
Adaptive, multi-paddock, rotational grazing management alters foraging behavior and spatial grazing distribution of free-ranging cattle Reprint Icon - (Peer Reviewed Journal)
Augustine, D.J., Kearney, S.P., Raynor, E.J., Porensky, L.M., Derner, J.D. 2023. Adaptive, multi-paddock, rotational grazing management alters foraging behavior and spatial grazing distribution of free-ranging cattle. Agriculture, Ecosystems and Environment. 352. Article 108521. https://doi.org/10.1016/j.agee.2023.108521.
Indicators of water use efficiency across diverse agroecosystems and spatiotemporal scales Reprint Icon - (Peer Reviewed Journal)
Hoover, D.L., Abendroth, L.J., Browning, D.M., Saha, A., Snyder, K.A., Wagle, P., Witthaus, L.M., Baffaut, C., Biederman, J.A., Bosch, D.D., Bracho, R., Busch, D., Clark, P., Ellsworth, P.Z., Fay, P.A., Flerchinger, G.N., Kearney, S.P., Levers, L.R., Saliendra, N.Z., Schmer, M.R., Schomberg, H.H., Scott, R.L. 2022. Indicators of water use efficiency across diverse agroecosystems and spatiotemporal scales. Science of the Total Environment. 864. Article e160992. https://doi.org/10.1016/j.scitotenv.2022.160992.
Can measurements of foraging behaviour predict variation in weight gains of free-ranging cattle? Reprint Icon - (Peer Reviewed Journal)
Augustine, D.J., Raynor, E.J., Kearney, S.P., Derner, J.D. 2022. Can measurements of foraging behaviour predict variation in weight gains of free-ranging cattle? Animal Production Science. Special Issue: AAAS|Stobbs Lecture. https://doi.org/10.1071/AN21560.
Monitoring standing herbaceous biomass and thresholds in semiarid rangelands from harmonized Landsat 8 and Sentinel-2 imagery to support within-season adaptive management Reprint Icon - (Peer Reviewed Journal)
Kearney, S.P., Porensky, L.M., Augustine, D.J., Gaffney, R.M., Derner, J.D. 2022. Monitoring standing herbaceous biomass and thresholds in semiarid rangelands from harmonized Landsat 8 and Sentinel-2 imagery to support within-season adaptive management. Remote Sensing of Environment. 271. Article e112907. https://doi.org/10.1016/j.rse.2022.112907.
Using hyperspectral imagery to characterize rangeland vegetation composition at process-relevant scales Reprint Icon - (Peer Reviewed Journal)
Gaffney, R.M., Augustine, D.J., Kearney, S.P., Porensky, L.M. 2021. Using hyperspectral imagery to characterize rangeland vegetation composition at process-relevant scales. Remote Sensing. 13. Article 4603. https//doi.org/10.3390/rs13224603.
Predicting spatial-temporal patterns of diet quality and large herbivore performance using satellite time series Reprint Icon - (Peer Reviewed Journal)
Kearney, S.P., Porensky, L.M., Augustine, D.J., Derner, J.D., Gao, F.N. 2022. Predicting spatial-temporal patterns of diet quality and large herbivore performance using satellite time series. Ecological Applications. 32. Article e2503. https://doi.org/10.1002/eap.2503.
Big data reveals drivers of vegetation phenology and cattle productivity in semi-arid rangelands - (Abstract Only)
ARS News Articles