Stephen Webb
Research Assistant Professor
stephen.webb@ag.tamu.edu (512) 496-2499 Curriculum VitaeDr. Stephen Webb joined the Texas A&M Natural Resources Institute in November 2021 as a senior research scientist. His research focuses primarily on game and large mammal species such as white-tailed deer, mule deer, elk, domestic cattle and wild pigs, but also has studied greater sage-grouse, northern bobwhite, and several lizard species. He uses advanced and novel tracking and sensor devices, and autonomous recording units, to develop behaviorally and spatially explicit models of animal movement, resource selection, animal interaction, and changes in population demographics.
Prior to joining NRI, Webb worked as a quantitative ecologist for a private natural resource consulting firm in Wyoming. He also worked for a private, non-profit agricultural research institute where he served as manager of ag systems technology and led the range and wildlife ecology research group.
Dr. Webb received his Bachelor of Science and Master of Science degrees from Texas A&M University-Kingsville where he majored in range and wildlife management. He received his Doctor of Philosophy in wildlife science from Mississippi State University.
Stephen is a 7th generation Texan, so joining the Texas A&M Natural Resources Institute is an exciting opportunity to be back home. Outside of work, Stephen spends as much time as possible with his wife and daughter, and also enjoys hunting, fishing and photography.
Peer-Reviewed Publications
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Hunter movement and habitat use affect observation rate of white-tailed deer
Apr 2025
Meier, A., A. R. Little, K. L. Gee, S. Demarais, S. L. Webb, and D. H. Ranglack. 2025. Hunter movement and habitat use affect observation rate of white-tailed deer (Odocoileus virginianus). Wildlife Research 52(4). https://doi.org/10.1071/WR24114
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Water gaps and standard fencing facilitate white-tailed deer movement
Mar 2025
Stewart, D.G., J.T. Beaver, M.L. Cooksey, C. Grantham, B.L. Pierce, R.R. Lopez, and S.L. Webb. 2025. Water gaps and standard fencing facilitate white-tailed deer movement across high fences while maintaining property fidelity. The Southwestern Naturalist 69(2).
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Snapshot USA 2019–2023: The First Five Years of Data From a Coordinated Camera Trap Survey of the United States
Jan 2025
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.
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Mammals show faster recovery from capture and tagging in human-disturbed landscapes
Sep 2024
Stiegler, J., et al. 2024. Mammals show faster recovery from capture and tagging in human-disturbed landscapes. Nature Communications 15:8079.
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Climate, food and humans predict communities of mammals in the United States
Jun 2024
Kays, R., et al. 2024. Climate, food and humans predict communities of mammals in the United States. Diversity and Distributions 30:e13900.
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Machine Learning Methods and Visual Observations to Categorize Behavior of Grazing Cattle Using Accelerometer Signals
May 2024
Parsons, I.L., B.B. Karisch, A.E. Stone, S.L. Webb, D.A. Norman, and G.M. Street. 2024. Machine learning methods and visual observations to categorize behavior of grazing cattle using accelerometer signals. Sensors 24:3171.
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SNAPSHOT USA 2021: A third coordinated national camera trap survey of the United States
May 2024
Shamon, H., et al. 2024. SNAPSHOT USA 2021: A third coordinated national camera trap survey of the United States. Ecology 104:e4318.
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Coyotes eat flies at carrion
Dec 2023
Mason, D.S., A.K. Jones, B.T. Barton, M.D. Proctor, S.L. Webb, and M.A. Lashley. 2023. Coyotes eat flies at carrion. Food Webs 37:e00309.
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An efficient acoustic classifier for high-priority avian species in the southern Great Plains using convolutional neural networks
Oct 2023
Wolfe, B., M.D. Proctor, V. Nolan, and S.L. Webb. 2023. An efficient acoustic classifier for high-priority avian species in the southern Great Plains using convolutional neural networks. Wildlife Society Bulletin 47:e1492.
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Automated walk-over-weigh system to track daily body mass and growth in grazing steers
Sep 2023
Parsons, I.L., D.A. Norman, B.B. Karisch, S.L. Webb, A.E. Stone, M.D. Proctor, and G.M. Street. 2023. Automated walk-over-weigh system to track daily body mass and growth in grazing steers. Computers and Electronics in Agriculture 212:108113.
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Feasibility and application of using Texas horned lizard scat to predict lizard size and age class
Mar 2023
Huerta, J.O., S.L. Webb, S.E. Henke, D.B. Wester, F. Hernandez, and R.L. Powell. 2023. Feasibility and application of using Texas horned lizard scat to predict lizard size and age class. Wildlife Society Bulletin 47:e1446.
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Analyzing Contacts and Behavior from High Frequency Tracking Data Using the wildlifeDI R Package
Sep 2022
Long, J.A., S.L. Webb, S.M. Harju, and K.L. Gee. 2022. Analyzing contacts from high frequency tracking data using the wildlifeDI R package. Geographical Analysis 54:648–663.
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Genomic tools reveal complex social organization of an invasive large mammal (Sus scrofa)
Jun 2022
Titus, C.L., C.F. Pierce, T.J. Smyser, S.L. Webb, and J.C. Beasley. 2022. Genomic tools reveal complex social organization of an invasive large mammal (Sus scrofa). Biological Invasions 24:3199–3216.
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Aiming for the optimum: examining complex relationships among sampling regime, sampling density and landscape complexity to accurately model resource availability
Oct 2021
Parsons, I.L., M.R. Boudreau, B.B. Karisch, A.E. Stone, D. Norman, S.L. Webb, K. Evans, and G.M. Street. 2022. Aiming for the optimum: examining complex relationships among sampling regime, sampling density and landscape complexity to accurately model resource availability. Landscape Ecology 37:2743–2756.
Extension Publications
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Collared Peccary (Pecari tajacu)
Sep 2024