Embedded Files
© 2022 Veronica Winter
Publications:
Publications:
Winter, V., B. Smith, D. Berger, R. Hart, J. Huang, K. Manlove, F. Buderman, and T. Avgar. "Forecasting Animal Distribution through Individual Habitat Selection: Insights for Population Inference and Transferable Predictions." Ecography (2024).
Hart*, R., B. Smith*, V. Winter*, T. Avgar. Habitat Ecology and Analysis. Joseph A. Veech. 2021. Oxford University Press, Oxford, United Kingdom. 215 pp. ISBN: 978-0-19-882941-6. The Journal of Wildlife Management (2021).
(* denotes equal author contribution)
Forecasting Animal Distribution through Individual Habitat Selection: Insights for Population Inference and Transferable Predictions. Winter et al. (2024). Ecography.
Forecasting Animal Distribution through Individual Habitat Selection: Insights for Population Inference and Transferable Predictions. Winter et al. (2024). Ecography.
Habitat selection models frequently use data collected from a small geographic area over a short window of time to extrapolate patterns of relative abundance into unobserved areas or periods of time.
However, such models often poorly predict the distribution of animal space‐use intensity beyond the place and time of data collection, presumably because space‐use behaviors vary between individuals and environmental contexts. Similarly, ecological inference based on habitat selection models could be muddied or biased due to unaccounted individual and context dependencies.
We present a transferable modeling workflow that transforms the limitations of traditional habitat selection models – the variability in habitat selection – into a powerful tool for understanding and predicting species-habitat associations across space and time.
Scientific illustrations:
Scientific illustrations:
Figure 1: Jackson, A. K., Eagles-Smith, C. A., & Robinson, W. D. (2021). Differential reliance on aquatic prey subsidies influences mercury exposure in riparian arachnids and songbirds. Ecology and Evolution, 11(11), 7003–7017. https://doi.org/10.1002/ece3.7549
Figure 1a, 1b: Whitney, N. M., White, C. F., Smith, B. J., Cherkiss, M. S., Mazzotti, F. J., & Hart, K. M. (2021). Accelerometry to study fine-scale activity of invasive Burmese pythons (Python bivittatus) in the wild. Animal Biotelemetry, 9(1), 2. https://doi.org/10.1186/s40317-020-00227-7
Figure 2: Smith, B. J., Selby, T. H., Cherkiss, M. S., Crowder, A. G., Hillis-Starr, Z., Pollock, C. G., & Hart, K. M. (2019). Acoustic tag retention rate varies between juvenile green and hawksbill sea turtles. Animal Biotelemetry, 7(1), 15. https://doi.org/10.1186/s40317-019-0177-3
Figure 1: Roberts, K. E., Smith, B. J., Burkholder, D., & Hart, K. M. (2021). Evaluating the use of marine protected areas by endangered species: A habitat selection approach. Ecological Solutions and Evidence, 2(1), e12035. https://doi.org/10.1002/2688-8319.12035
Study area map
2. Burmese python illustration denoting acceleration data logger placement
3. Green and Loggerhead turtle illustrations
Page updated
Google Sites
Report abuse