Circadian and lunar patterns of Jaguar and Puma in relation to their prey and competitors
DOI:
https://doi.org/10.22458/urj.v14iS1.3858Keywords:
activity patterns, predator-prey, temporal niche change, circadian, moon phasesAbstract
Introduction: Temporal niche changes can shape predator-prey interactions by allowing prey to evade predators, improve feeding efficiency, and reduce competition among predators. In addition to circadian activity patterns, the monthly lunar cycle can influence the nocturnal activity of mammals. Objective: Through camera trap surveys at sites on the Pacific slope and the Talamanca Cordillera, we investigated the patterns of circadian (day and night) and nocturnal activity during the moon phases of the jaguar (Panthera onca) and puma (Puma concolor). Methods: We investigated the overlap and temporal segregation between pairs of each predator and its primary prey, and between its competitors using overlap analysis, circular statistics, and relative abundance, taking into account differences in habitat, seasons, and human impact between sites. Results: Our results supported the existence of a temporal niche separation between the two predator species, although both were classified as cathemeral - the jaguar was mainly diurnal, while the puma was mainly nocturnal. We found that the jaguar and puma practice different patterns of nocturnal activity during the phases of the moon, with the jaguar exhibiting a dramatic increase in activity during the full moon and the puma maintaining a more consistent level of activity throughout the moon phases. However, during the full moon, both species were more active at night and less active during the day, suggesting that they practice a temporary niche change to take advantage of hunting activities during the brightest lunar illumination of each month. We discuss predicted primary prey and competing species. Conclusion: We conclude that jaguar and puma exhibit significant niche separation in circadian and lunar activity patterns. Through these differences in temporal activity, jaguar and puma can exploit a slightly different prey base despite their similar large size.
References
Agafonkin, V., & Thieurmel, B. (2019). Suncalc: Compute sun position, sunlight phases, moon position and lunar phase (R package version 0.4).
Anile, S., & Devillard, S. (2016). Study design and body mass influence RAIs from camera trap studies: evidence from the Felidae. Animal Conservation, 19, 35–45. https://doi.org/10. 1111/acv.12214
Cozzi, G., Broekhuis, F., McNutt, J.W., Turnbull, L.A., MacDonald, D.W., & Schmid, B. (2012). Fear of the dark or dinner by moonlight? Reduced temporal partitioning among Africa’s large carnivores. Ecology, 93(12), 2590–2599. https://doi.org/10.1890/12-0017.1
de Oliveira, T. G. (2002). Comparative feeding ecology of jaguar and puma in the Neotropics. In R. A. Medellín, C. Equihua, C. L. Chetkiewicz, P. G. Crawshaw Jr., A. Rabinowitz, K. H. Redford, J. G. Robinson, E. W. Sanderson, & A. Taber, (Eds). El jaguar en el nuevo milenio (pp. 265-288). Fondo de Cultura Económica.
Días, D. M., Campos, C.B., & Rodriguez, F.H.G. (2018). Behavioural ecology in a predator-prey system. Mammalian Biology, 92, 30–36. https://doi.org/10.1016/j.mambio.2018.04.005
Di Bitetti, M. S., De Ángelo, C.D., Di Blanco, Y.E., & Paviolo, A. (2010). Niche partitioning and species coexistence in a Neotropical felid assemblage. Acta Oecologia, 36(4), 403–412. https://doi.org/10.1016/j.actao.2010.04.001
Foster, V. C., Sarmento, P., Sollmann, R., Tôrres, N., Jácomo, A.T.A., Negrões, N., Fonseca, C., & Silveira, L. (2013). Jaguar and puma activity patterns and predator-prey interactions in four Brazilian biomes. Biotropica, 45(3), 373–379. https://doi.org/10.1111/btp.12021
Herrera, H., Chávez, E.J., Alfaro, L.D., Fuller, T., Montalvo, V., Rodrigues, F., Carrillo, E. (2018). Time partitioning among jaguar Panthera onca, puma Puma concolor and ocelot Leopardus pardalis (Carnivora: Felidae) in Costa Rica’s dry and rainforests. Revista de Biología Tropical, 66(4), 1575–1584. https://doi.org/10.15517/rbt.v66i4.32895
Krittika, S., & Yadav, P. (2019). Circadian clocks: An overview on its adaptive significance. Biological Rhythm Research, 51(7), 1–24. https://doi.org/10.1080/09291016.2019.1581480
Lynam, A. J., Jenks, K. E., Tantipisanuh, N., Chutipong, W., Ngoprasert, D., Gale, G. A., Steinmetz, R., Sukmasuang, R., Bhumpakphan, N., Grassman, L. I., Cutter, P., Kitamura, S., Reed, D. H., Baker, M. C., McShea, W., Songsasen, N., Leimgruber, P. (2013). Terrestrial activity patterns of wild cats from camera-trapping. The Raffles Bulletin of Zoology, 61(1), 407-415.
MacArthur, R. H., & Pianka, E.R. (1966). On optimal use of a patchy environment. The American Naturalist, 100, 603–609. https://doi.org/10.1086/282454
Meredith, M., & Ridout, M. (2018a). Overlap: Estimates of coefficient of overlapping for animal activity patterns. R package version 0.3.2. https://cran.r-project.org/web/packages/overlap/overlap.pdf
Meredith, M., & Ridout, M. (2018b). Overview of the overlap package. https://cran.r-project.org/web/packages/overlap/vignettes/overlap.pdf
Nouvellet, P., Rasmussen, G. S. A., Macdonald, D. W., & Courchamp, F. (2012). Noisy clocks and silent sunrises: measurement methods of daily activity pattern. Journal of Zoology, 286(3), 179–184. https://doi.org/10.1111/j.1469-7998.2011.00864.x
R Core Team (2019). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna. https://www.R-project.org
Ridout, M. S., & Linkie, M. (2009). Estimating overlap of daily activity patterns from camera trap data. Journal of Agricultural Biological and Environmental Statistics, 14, 322-337. https://doi.org/10.1198/jabes.2009.08038
Rowcliffe, J. M., Kays, R., Kranstauber, B., Carbone, C., & Jansen, P. A. (2014). Quantifying levels of animal activity using camera trap data. Methods in Ecology and Evolution, 5, 1170-1179. https://doi.org/10.1111/2041-210X.12278.
Santos, F., Carbone, C., Wearn, O.R., Rowcliffe, J.M., Espinosa, S., Lima, M.G.M., Ahuma, J.A., Sousa, A.L., Trevelin, L., Alvarez-Loayza, P., Spironello, W., Jansen, P., Juen, L., Peres, C.A. (2019). Prey availability and temporal partitioning modulate felid coexistence in Neotropical forests. PLoS ONE, 14(3): e0213671. https://doi.org/10.1371/journal.pone.0213671
Scognamillo, D., Maxit, I.E., Sunquist, M., & Polisar, J. (2003). Coexistence of jaguar (Panthera onca) and puma (Puma concolor) in a mosaic landscape in the Venezuelan llanos. Journal of Zoology, 259(3), 269–279. https://doi.org/10.1017/S0952836902003230
Si, X., Kays, R., & Ding, P. (2014). How long is enough to detect terrestrial animals? Estimating the minimum trapping effort on camera traps. PeerJ, 2, e374. https://doi.org/10. 7717/peerj.374
Sollmann, R. (2018). A gentle introduction to camera‐trap data analysis. African Journal of Ecology, 56(4), 740–749. https://doi.org/10.1111/aje.12557
Tan, W.S., Hamzah, N.B.A., Saaban, S., Zawakhir, N.A., Rao, Y., Jamaluddin, N., Cheong, F., Khalid, N.B., Mohd Saat, N.L., Zaidee Ee, E.N.B., Hamdan, A.B., Chow, M.M., Low, C.P., Voon, M., Liang, S.H., Tyson, M., Gumal, M. (2018). Observations of occurrence and daily activity patterns of ungulates in the Endau Rompin Landscape, Peninsular Malaysia. Journal of Threatened Taxa, 10, 11245–11253. https://doi.org/10.11609/jott.3519.10.2.11245-11253
Tobler, M. (2015). Camera Base version 1.7 user guide. Atrium Biodiversity Information System. http://www.atrium-biodiversity.org/tools/camerabase/
Upton, G. J. G. (1992). Fisher's exact test. Journal of the Royal Statistical Society Series A (Statistics in Society), 155, 395-402. https://doi.org/10.2307/2982890
Valeix, M., Chamaillé-Jammes, S., & Fritz, H. (2007). Interference competition and temporal niche shifts: elephants and herbivore communities at waterholes. Oecologia, 153, 739–748. https://doi.org/10.1007/s00442-007-0764-5
Van Berkel, T. (2014). Camera trapping for wildlife conservation: expedition field techniques. Geography Outdoors.
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