The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
A ‘dynamic’ landscape of fear: prey responses to spatiotemporal variations in predation risk across the lunar cycle
Abstract
Ambiguous empirical support for ‘landscapes of fear’ in natural systems may stem from failure to consider dynamic temporal changes in predation risk. The lunar cycle dramatically alters night‐time visibility, with low luminosity increasing hunting success of African lions. We used camera‐trap data from Serengeti National Park to examine nocturnal anti‐predator behaviours of four herbivore species. Interactions between predictable fluctuations in night‐time luminosity and the underlying risk‐resource landscape shaped herbivore distribution, herding propensity and the incidence of ‘relaxed’ behaviours. Buffalo responded least to temporal risk cues and minimised risk primarily through spatial redistribution. Gazelle and zebra made decisions based on current light levels and lunar phase, and wildebeest responded to lunar phase alone. These three species avoided areas where likelihood of encountering lions was high and changed their behaviours in risky areas to minimise predation threat. These patterns support the hypothesis that fear landscapes vary heterogeneously in both space and time.
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Cites
Fitting Linear Mixed-Effects Models Using lme4
Bates, D., Mächler, M., Bolker, B., & Walker, S. (2015) · Journal of Statistical Software · doi:10.18637/jss.v067.i01 · Cited by 86,835
Relationships between direct predation and risk effects
Creel, S., & Christianson, D. (2008) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2007.12.004 · Cited by 1,238
ELK ALTER HABITAT SELECTION AS AN ANTIPREDATOR RESPONSE TO WOLVES
Creel, S., Winnie, J., Maxwell, B., Hamlin, K., & Creel, M. (2005) · Ecology · doi:10.1890/05-0032 · Cited by 774
Putting predators back into behavioral predator–prey interactions
Lima, S. L. (2002) · Trends in Ecology & Evolution · doi:10.1016/s0169-5347(01)02393-x · Cited by 748
Planning for success: Serengeti lions seek prey accessibility rather than abundance
HOPCRAFT, J. G. C., SINCLAIR, A. R. E., & PACKER, C. (2005) · Journal of Animal Ecology · doi:10.1111/j.1365-2656.2005.00955.x · Cited by 557
Self-citationSwanson, A., Kosmala, M., Lintott, C., Simpson, R., Smith, A., & Packer, C. (2015) · Scientific Data · doi:10.1038/sdata.2015.26 · Cited by 510
Self-citationCompetition and intraguild predation among three sympatric carnivores
Fedriani, J. M., Fuller, T. K., Sauvajot, R. M., & York, E. C. (2000) · Oecologia · doi:10.1007/s004420000448 · Cited by 463
Creel, S., Schuette, P., & Christianson, D. (2014) · Behavioral Ecology · doi:10.1093/beheco/aru050 · Cited by 330
Wolf-Pack Buffer Zones as Prey Reservoirs
Mech, L. D. (1977) · Science · doi:10.1126/science.198.4314.320 · Cited by 242
Middleton, A. D., Kauffman, M. J., McWhirter, D. E., Jimenez, M. D., Cook, R. C., Cook, J. G., Albeke, S. E., Sawyer, H., & White, P. J. (2013) · Ecology Letters · doi:10.1111/ele.12133 · Cited by 181
Cited by
Norouzzadeh, M. S., Nguyen, A., Kosmala, M., Swanson, A., Palmer, M. S., Packer, C., & Clune, J. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1719367115 · Cited by 1,230
Self-citationLandscapes of Fear: Spatial Patterns of Risk Perception and Response
Gaynor, K. M., Brown, J. S., Middleton, A. D., Power, M. E., & Brashares, J. S. (2019) · Trends in Ecology & Evolution · doi:10.1016/j.tree.2019.01.004 · Cited by 759
Machine learning to classify animal species in camera trap images: Applications in ecology
Tabak, M. A., Norouzzadeh, M. S., Wolfson, D. W., Sweeney, S. J., Vercauteren, K. C., Snow, N. P., Halseth, J. M., Di Salvo, P. A., Lewis, J. S., White, M. D., et al. (2019) · Methods in Ecology and Evolution · doi:10.1111/2041-210x.13120 · Cited by 504
Diel predator activity drives a dynamic landscape of fear
Kohl, M. T., Stahler, D. R., Metz, M. C., Forester, J. D., Kauffman, M. J., Varley, N., White, P. J., Smith, D. W., & MacNulty, D. R. (2018) · Ecological Monographs · doi:10.1002/ecm.1313 · Cited by 304
Palmer, M. S., Huebner, S. E., Willi, M., Fortson, L., & Packer, C. (2021) · Human Computation · doi:10.15346/hc.v8i2.123 · Cited by 20
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Metadata
- Authors
- Palmer, M. S., Fieberg, J., Swanson, A., Kosmala, M., & Packer, C.
- Venue
- Ecology Letters
- Publisher
- Wiley
- Published
- 2017-09-12
- Volume
- 20
- Issue
- 11
- Pages
- 1364-1373
- ISSN
- 1461-023X (ISSN-L)
- 1461-0248
- OpenAlex
- W2755840324
- Cited by
- 170
- References
- 11
- FWCI
- 11.42
- Type
- journal article
- Language
- en
- Open access
- closed
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