Academic Journal
Wind conditions do not consistently affect large-scale movement decisions of large savanna herbivores.
| Τίτλος: | Wind conditions do not consistently affect large-scale movement decisions of large savanna herbivores. |
|---|---|
| Συγγραφείς: | Gomez S; CEFE, Univ Montpellier, CNRS, EPHE, IRD, Montpellier, France. gomez.sara@icloud.com., Boyers M; School of Biodiversity, One Health and Veterinary Medicine, University of Glasgow, Glasgow, G128QQ, UK., Caron A; UMR ASTRE, Univ. Montpellier, CIRAD, INRAE, Montpellier, France.; International Livestock Research Institute (ILRI), Nairobi, Kenya.; UPR Forêts Et Sociétés, CIRAD, Montpellier, France., Cornelis D; UPR Forêts Et Sociétés, CIRAD, Montpellier, France., de Knegt H; Wildlife Ecology and Conservation Group, Wageningen University and Research, Droevendaalsesteeg 3, 6708 PB, Wageningen, The Netherlands., de Garine-Wichatitsky M; CIRAD, UMR ASTRE, Montpellier, France.; ASTRE, Univ Montpellier, CIRAD, INRAE, Montpellier, France., Eikelboom JAJ; Laboratory of Geo-Information Science and Remote Sensing, Wageningen University and Research, Droevendaalsesteeg 3, 6708 PB, Wageningen, The Netherlands., Kilian JW; Etosha Ecological Institute, Etosha National Park, Okaukuejo, Namibia., Owen-Smith N; Centre for African Ecology, School of Animal, Plant and Environmental Sciences, University of the Witwatersrand, Wits, 2050, South Africa., Prin T; Nyati Consulting, Paris, France., Shrader AM; Department of Zoology and Entomology, University of Pretoria, Private Bag X20, Hatfield, 0028, South Africa., Stabach JA; Conservation Ecology Center, Smithsonian National Zoo and Conservation Biology Institute, Front Royal, VA, 22630, USA., Turner WC; U.S. Geological Survey, Wisconsin Cooperative Wildlife Research Unit, Department of Forest and Wildlife Ecology, University of Wisconsin-Madison, 1630 Linden Drive, Madison, WI, 53706, USA., van Langevelde F; Wildlife Ecology and Conservation Group, Wageningen University and Research, Droevendaalsesteeg 3, 6708 PB, Wageningen, The Netherlands., Chamaillé-Jammes S; CEFE, Univ Montpellier, CNRS, EPHE, IRD, Montpellier, France. |
| Πηγή: | Oecologia [Oecologia] 2026 Mar 28; Vol. 208 (4). Date of Electronic Publication: 2026 Mar 28. |
| Τύπος έκδοσης: | Journal Article |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: Springer Country of Publication: Germany NLM ID: 0150372 Publication Model: Electronic Cited Medium: Internet ISSN: 1432-1939 (Electronic) Linking ISSN: 00298549 NLM ISO Abbreviation: Oecologia Subsets: MEDLINE |
| Imprint Name(s): | Original Publication: Berlin ; New York, Springer. |
| Ιατρικοί όροι (MeSH): | Wind* , Herbivory*, Animals ; Grassland ; Movement |
| Περίληψη: | To decide where and when to move, animals combine memorised information with environmental cues. Wind speed and direction can affect the way animals perceive the environment by reducing the detection and shaping the spatial distribution of sensory cues. Although these cues are expected to be used for forage localisation and predation avoidance in large herbivores, for instance, we still do not know to what extent wind can ultimately influence their large-scale movement decisions. To tackle this knowledge gap, we used GPS data from four species of large African herbivores experiencing contrasted predation risks (blue wildebeest, Connochaetes taurinus, plain zebras, Equus quagga, African buffalo, Syncerus caffer, African elephant, Loxodonta africana), in multiple protected areas. We first investigated whether individuals reduce predation risk by avoiding long-distance movements under windy conditions. We then analysed whether they favour moving upwind to maximise their information gain as they travel. We found no clear decrease in the largest step length as wind speed increases and suggest that local habitat could buffer the strength of wind speed (i.e. topography or vegetation). We, however, found that large herbivores tend to move upwind rather than cross- or downwind, although the effect was generally small. We point out that individuals might be more constrained in their use of cues carried by the wind than initially thought, due to the existence of dominant wind directions at all sites. Altogether, our study suggests that wind has little general, consistent, effects on large herbivore movement decisions. Some sites or species-specific results, however, call for delving deeper into the context-specificity of wind effects. (© 2026. The Author(s). Parts of this work were authored by US Federal Government authors and are not under copyright protection in the US; foreign copyright protection may apply.) |
| Competing Interests: | Declarations. Conflict of interest: The authors declare that they have no conflict of interest. Ethics approval: Not applicable. Consent to participate: Not applicable. Consent for publication: Not applicable. |
| Σχόλια: | Erratum in: Oecologia. 2026 May 20;208(6):68. doi: 10.1007/s00442-026-05908-3.. (PMID: 42162344) |
| References: | Alkhalidi M, Al-Dabbous A, Al-Dabbous S, Alzaid D (2025) Evaluating the accuracy of the ERA5 model in predicting wind speeds across coastal and offshore regions. J Mar Sci Eng 13(1):149. https://doi.org/10.3390/jmse13010149. (PMID: 10.3390/jmse13010149) Altmann J, Alberts SC, Altmann SA, Roy SB (2002) Dramatic change in local climate patterns in the Amboseli basin, Kenya. Afr J Ecol 40(3):248–251. https://doi.org/10.1046/j.1365-2028.2002.00366.x. (PMID: 10.1046/j.1365-2028.2002.00366.x) Avgar T, Deardon R, Fryxell JM (2013) An empirically parameterized individual based model of animal movement, perception, and memory. Ecol Modell 251:158–172. https://doi.org/10.1016/j.ecolmodel.2012.12.002. (PMID: 10.1016/j.ecolmodel.2012.12.002) Avgar T, Potts JR, Lewis MA, Boyce MS (2016) Integrated step selection analysis : bridging the gap between resource selection and animal movement. Methods Ecol Evol 7(5):619–630. https://doi.org/10.1111/2041-210X.12528. (PMID: 10.1111/2041-210X.12528) Avgar T, Lele SR, Keim JL, Boyce MS (2017) Relative selection strength : quantifying effect size in habitat- and step-selection inference. Ecol Evol 7(14):5322–5330. https://doi.org/10.1002/ece3.3122. (PMID: 10.1002/ece3.3122287700705528224) Balduzzi S, Rücker G, Schwarzer G (2019) How to perform a meta-analysis with R: a practical tutorial. Evid Based Ment Health. https://doi.org/10.1136/ebmental-2019-300117. (PMID: 10.1136/ebmental-2019-3001173156386510231495) Barman D, Kumar V, Roy J, Alam S (2022) Modeling wind effect and herd behavior in a predator–prey system with spatiotemporal dynamics. Euro Phys J plus 137(8):950. https://doi.org/10.1140/epjp/s13360-022-03133-4. (PMID: 10.1140/epjp/s13360-022-03133-4) Bertrand MR, DeNicola AJ, Beissinger SR, Swihart RK (1996) Effects of parturition on home ranges and social affiliations of female white-tailed deer. J Wildl Manag 60(4):899–909. https://doi.org/10.2307/3802391. (PMID: 10.2307/3802391) Borenstein M, Higgins JPT (2013) Meta-analysis and subgroups. Prev Sci 14(2):134–143. https://doi.org/10.1007/s11121-013-0377-7. (PMID: 10.1007/s11121-013-0377-723479191) Cade BS, Noon BR (2003) A gentle introduction to quantile regression for ecologists. Front Ecol Environ 1(8):412–420. https://doi.org/10.1890/1540-9295(2003)001[0412:AGITQR]2.0.CO;2. (PMID: 10.1890/1540-9295(2003)001[0412:AGITQR]2.0.CO;2) Cardé RT, Willis MA (2008) Navigational strategies used by insects to find distant, wind-borne sources of odor. J Chem Ecol 34(7):854–866. https://doi.org/10.1007/s10886-008-9484-5. (PMID: 10.1007/s10886-008-9484-518581182) Chamaillé-Jammes S, Blumstein DT (2012) A case for quantile regression in behavioral ecology : getting more out of flight initiation distance data. Behav Ecol Sociobiol 66(6):985–992. https://doi.org/10.1007/s00265-012-1354-z. (PMID: 10.1007/s00265-012-1354-z) Chamaillé-Jammes S, Malcuit H, Le Saout S, Martin J-L (2014) Innate threat-sensitive foraging : black-tailed deer remain more fearful of wolf than of the less dangerous black bear even after 100 years of wolf absence. Oecologia 174(4):1151–1158. https://doi.org/10.1007/s00442-013-2843-0. (PMID: 10.1007/s00442-013-2843-024288079) Chatterjee N, Wolfson D, Kim D, Velez J, Freeman S, Bacheler NM, Shertzer K, Taylor JC, Fieberg J (2024) Modelling individual variability in habitat selection and movement using integrated step-selection analysis. Methods Ecol Evol 15(6):1034–1047. https://doi.org/10.1111/2041-210X.14321. (PMID: 10.1111/2041-210X.14321) Cherry MJ, Barton BT (2017) Effects of wind on predator-prey interactions. Food Webs 13:92–97. https://doi.org/10.1016/j.fooweb.2017.02.005. (PMID: 10.1016/j.fooweb.2017.02.005) Clermont J, Couchoux C, Garant D, Réale D (2017) Assessing anti-predator decisions of foraging eastern chipmunks under varying perceived risks : the effects of physical and social environments on vigilance. Behaviour. https://doi.org/10.1163/1568539X-00003414. (PMID: 10.1163/1568539X-00003414) Conover MR (2007) Predator-Prey Dynamics : The Role of Olfaction. CRC Press. (PMID: 10.1201/9781420009125) Courbin N, Loveridge AJ, Macdonald DW, Fritz H, Valeix M, Makuwe ET, Chamaillé-Jammes S (2016) Reactive responses of zebras to lion encounters shape their predator–prey space game at large scale. Oikos 125(6):829–838. https://doi.org/10.1111/oik.02555. (PMID: 10.1111/oik.02555) Creel S, Christianson D (2008) Relationships between direct predation and risk effects. Trends Ecol Evol 23(4):194–201. https://doi.org/10.1016/j.tree.2007.12.004. (PMID: 10.1016/j.tree.2007.12.00418308423) Creel S, Schuette P, Christianson D (2014) Effects of predation risk on group size, vigilance, and foraging behavior in an African ungulate community. Behav Ecol 25(4):773–784. https://doi.org/10.1093/beheco/aru050. (PMID: 10.1093/beheco/aru050) Dickie M, McNay SR, Sutherland GD, Cody M, Avgar T (2020) Corridors or risk? Movement along, and use of, linear features varies predictably among large mammal predator and prey species. J Anim Ecol 89(2):623–634. https://doi.org/10.1111/1365-2656.13130. (PMID: 10.1111/1365-2656.1313031648375) Dusenbery DB (1992) Sensory ecology : How organisms acquire and respond to information. W. H. Freeman. Fagan WF, Lewis MA, Auger-Méthé M, Avgar T, Benhamou S, Breed G, LaDage L, Schlägel UE, Tang W, Papastamatiou YP, Forester J, Mueller T (2013) Spatial memory and animal movement. Ecol Lett 16(10):1316–1329. https://doi.org/10.1111/ele.12165. (PMID: 10.1111/ele.1216523953128) Fairbanks B, Dobson FS (2007) Mechanisms of the group-size effect on vigilance in Columbian ground squirrels : Dilution versus detection. Anim Behav 73(1):115–123. https://doi.org/10.1016/j.anbehav.2006.07.002. (PMID: 10.1016/j.anbehav.2006.07.002) Fieberg J, Signer J, Smith B, Avgar T (2021) A ‘How to’ guide for interpreting parameters in habitat-selection analyses. J Anim Ecol 90(5):1027–1043. https://doi.org/10.1111/1365-2656.13441. (PMID: 10.1111/1365-2656.13441335830368251592) Finnerty PB, Stutz RS, Price CJ, Banks PB, McArthur C (2017) Leaf odour cues enable non-random foraging by mammalian herbivores. J Anim Ecol 86(6):1317–1328. https://doi.org/10.1111/1365-2656.12748. (PMID: 10.1111/1365-2656.1274828833142) Finnerty PB, McArthur C, Banks P, Price C, Shrader AM (2022) The olfactory landscape concept : a key source of past, present, and future information driving animal movement and decision-making. Bioscience 72(8):745–752. https://doi.org/10.1093/biosci/biac039. (PMID: 10.1093/biosci/biac039359231869343233) Finnerty PB, Shrader AM, Banks PB, Schmitt MH, McArthur C (2024) Odour information enables patch choice by mammalian herbivores from afar, leading to predictable plant associational effects. Funct Ecol 38(11):2478–2492. https://doi.org/10.1111/1365-2435.14665. (PMID: 10.1111/1365-2435.14665) Fortin D, Beyer HL, Boyce MS, Smith DW, Duchesne T, Mao JS (2005) Wolves influence elk movements : behavior shapes a trophic cascade in Yellowstone National Park. Ecology 86(5):1320–1330. (PMID: 10.1890/04-0953) Geraci M (2014) Linear quantile mixed models: the lqmm Package for Laplace quantile regression. J Statis Software 57:1–29. https://doi.org/10.18637/jss.v057.i13. (PMID: 10.18637/jss.v057.i13) Getz WM, Kilian W, Zidon R, Tsalyuk M (2018) Data from: Temporal variation in resource selection of African elephants follows long term variability in resource availability. Movebank Data Repository. https://doi.org/10.5441/001/1.3nj3qj45. Gillies N, Martín López LM, den Ouden OFC, Assink JD, Basille M, Clay TA, Clusella-Trullas S, Joo R, Weimerskirch H, Zampolli M, Zeyl JN, Patrick SC (2023) Albatross movement suggests sensitivity to infrasound cues at sea. Proc Natl Acad Sci 120(42):e2218679120. https://doi.org/10.1073/pnas.2218679120. (PMID: 10.1073/pnas.22186791203781271910589618) Glass V, Gene, (1976) Primary, secondary and meta-analyses of research. Educ Res 5:3–8. https://doi.org/10.3102/0013189X005010003. Grove M (2013) The evolution of spatial memory. Math Biosci 242(1):25–32. https://doi.org/10.1016/j.mbs.2012.11.011. (PMID: 10.1016/j.mbs.2012.11.01123246804) Grubb TC (1974) Olfactory navigation to the nesting burrow in Leach’s petrel (Oceanodroma leucorrhoa). Anim Behav 22(1):192–202. https://doi.org/10.1016/S0003-3472(74)80069-2. (PMID: 10.1016/S0003-3472(74)80069-24836743) Hayes AR, Huntly NJ (2005) Effects of wind on the behavior and call transmission of Pikas (Ochotona princeps). J Mammal 86(5):974–981. https://doi.org/10.1644/1545-1542(2005)86[974:EOWOTB]2.0.CO;2. (PMID: 10.1644/1545-1542(2005)86[974:EOWOTB]2.0.CO;2) Hayward MW, Hayward GJ, Kerley GIH (2023) Space use of ungulate prey relative to lions is affected by prey species and predator behavior but not wind direction. Ecol Res 38(5):639–650. https://doi.org/10.1111/1440-1703.12397. (PMID: 10.1111/1440-1703.12397) Hersbach H, Bell B, Berrisford P et al (2020) The ERA5 global reanalysis. Q J R Meteorol Soc 146:1999–2049. https://doi.org/10.1002/qj.3803. (PMID: 10.1002/qj.3803) Hollén LI, Bell MBV, Wade HM, Rose R, Russell A, Niven F, Ridley AR, Radford AN (2011) Ecological conditions influence sentinel decisions. Anim Behav 82(6):1435–1441. https://doi.org/10.1016/j.anbehav.2011.09.028. (PMID: 10.1016/j.anbehav.2011.09.028) Johnson DS, London JM, Lea M-A, Durban JW (2008) Continuous-time correlated random walk model for animal ℡emetry data. Ecology 89(5):1208–1215. https://doi.org/10.1890/07-1032.1. (PMID: 10.1890/07-1032.118543615) Kelley MC, Garstang M (2013) On the possible detection of lightning storms by elephants. Animals 3(2):2. https://doi.org/10.3390/ani3020349. (PMID: 10.3390/ani3020349) Klappstein N, Michelot T, Fieberg J, Pedersen E, Field C, Flemming JM (2024) Step selection analysis with non-linear and random effects in mgcv (p. 2024.01.05.574363). bioRxiv. https://doi.org/10.1101/2024.01.05.574363. (PMID: 10.1101/2024.01.05.574363) Koenker R (2005) Quantile Regression. Cambridge University Press. (PMID: 10.1017/CBO9780511754098) Koenker R (2025). quantreg: Quantile Regression. R package version 6.1, https://CRAN.R-project.org/package=quantreg . Kuijper DPJ, Verwijmeren M, Churski M, Zbyryt A, Schmidt K, Jedrzejewska B, Smit C (2014) What cues do ungulates use to assess predation risk in dense temperate forests? PLoS ONE 9(1):1–12. https://doi.org/10.1371/journal.pone.0084607. (PMID: 10.1371/journal.pone.0084607) Langrock R, King R, Matthiopoulos J, Thomas L, Fortin D, Morales JM (2012) Flexible and practical modeling of animal telemetry data : Hidden Markov models and extensions. Ecology 93(11):2336–2342. https://doi.org/10.1890/11-2241.1. (PMID: 10.1890/11-2241.123236905) Lima SL, Dill LM (1990) Behavioral decisions made under the risk of predation : A review and prospectus. Can J Zool 68(4):619–640. https://doi.org/10.1139/z90-092. (PMID: 10.1139/z90-092) Marchand P, Garel M, Bourgoin G, Duparc A, Dubray D, Maillard D, Loison A (2017) Combining familiarity and landscape features helps break down the barriers between movements and home ranges in a non-territorial large herbivore. J Anim Ecol 86(2):371–383. https://doi.org/10.1111/1365-2656.12616. (PMID: 10.1111/1365-2656.1261627981576) McClintock BT, Michelot T (2018) momentuHMM : R package for generalized hidden Markov models of animal movement. Methods Ecol Evol 9(6):1518–1530. https://doi.org/10.1111/2041-210X.12995. (PMID: 10.1111/2041-210X.12995) Mitkus M, Nevitt GA, Danielsen J, Kelber A (2016) Vision on the high seas : spatial resolution and optical sensitivity in two procellariiform seabirds with different foraging strategies. J Exp Biol 219(21):3329–3338. https://doi.org/10.1242/jeb.140905. (PMID: 10.1242/jeb.14090527591308) Nathan R, Getz WM, Revilla E, Holyoak M, Kadmon R, Saltz D, Smouse PE (2008) A movement ecology paradigm for unifying organismal movement research. Proc Natl Acad Sci U S A 105(49):19052–19059. https://doi.org/10.1073/pnas.0800375105. (PMID: 10.1073/pnas.0800375105190601962614714) Nevitt GA (2008) Sensory ecology on the high seas : the odor world of the procellariiform seabirds. J Exp Biol 211(11):1706–1713. https://doi.org/10.1242/jeb.015412. (PMID: 10.1242/jeb.01541218490385) Orlando C, Tews A, Banks P, Mcarthur C (2020) The power of odour cues in shaping fine-scale search patterns of foraging mammalian herbivores. Biol Lett 16:20200329. https://doi.org/10.1098/rsbl.2020.0329. (PMID: 10.1098/rsbl.2020.0329326735417423053) Pandraud A, Shrader AM, Tshipa A, Ngwenya N, Chamaillé-Jammes S (2022) Cueing on distant conditions before migrating does not prevent false starts : a case study with African elephants. Oecologia 198(4):957–966. https://doi.org/10.1007/s00442-022-05148-1. (PMID: 10.1007/s00442-022-05148-135279724) Panja P (2022) Impacts of wind and anti-predator behaviour on predator-prey dynamics : a modelling study. Int J Comput Sci Math. https://doi.org/10.1504/IJCSM.2022.125906. (PMID: 10.1504/IJCSM.2022.125906) Périquet S, Todd-Jones L, Valeix M, Stapelkamp B, Elliot N, Wijers M, Pays O, Fortin D, Madzikanda H, Fritz H, Macdonald D, Loveridge A (2012) Influence of immediate predation risk by lions on the vigilance of prey of different body size. Behav Ecol 23:970–976. https://doi.org/10.1093/beheco/ars060. (PMID: 10.1093/beheco/ars060) Potisomporn P, Adcock AAT, Vogel CR (2023) Evaluating ERA5 reanalysis predictions of low wind speed events around the UK. Energy Rep 10:4781–4790. https://doi.org/10.1016/j.egyr.2023.11.035. (PMID: 10.1016/j.egyr.2023.11.035) Reynolds AM, Cecere JG, Paiva VH, Ramos JA, Focardi S (2015) Pelagic seabird flight patterns are consistent with a reliance on olfactory maps for oceanic navigation. Proc R Soc Lond B Biol Sci 282(1811):20150468. https://doi.org/10.1098/rspb.2015.0468. (PMID: 10.1098/rspb.2015.0468) Robira B, Benhamou S, Obeki Bayanga E, Breuer T, Masi S (2023) How do primates decide where to feed? Insights from wild western gorillas. Anim Behav 204:25–36. https://doi.org/10.1016/j.anbehav.2023.07.012. (PMID: 10.1016/j.anbehav.2023.07.012) Roelofs K (2017) Freeze for action : neurobiological mechanisms in animal and human freezing. Philos Trans R Soc Lond B Biol Sci 372(1718):20160206. https://doi.org/10.1098/rstb.2016.0206. (PMID: 10.1098/rstb.2016.0206282427395332864) Sabelis MW, Schippers P (1984) Variable wind directions and anemotactic strategies of searching for an odour plume. Oecologia 63(2):225–228. https://doi.org/10.1007/BF00379881. (PMID: 10.1007/BF0037988128311017) Schmitt MH, Shuttleworth A, Ward D, Shrader AM (2018) African elephants use plant odours to make foraging decisions across multiple spatial scales. Anim Behav 141:17–27. https://doi.org/10.1016/j.anbehav.2018.04.016. (PMID: 10.1016/j.anbehav.2018.04.016) Signer J, Fieberg J, Avgar T (2019) Animal movement tools (amt): R package for managing tracking data and conducting habitat selection analyses. Ecol Evol 9:880–890. (PMID: 10.1002/ece3.4823307666776362447) Silverman BW (1986) Density Estimation for Statistics and Data Analysis. Chapman and Hall, London. Slotow R, Thaker M, Vanak AT (2019) ThermochronTracking Elephants Kruger 2007. Movebank Data Repository. https://doi.org/10.5441/001/1.403h24q5/1. (PMID: 10.5441/001/1.403h24q5/1) Studd EK, Peers MJL, Menzies AK, Derbyshire R, Majchrzak YN, Seguin JL, Murray DL, Dantzer B, Lane JE, McAdam AG, Humphries MM, Boutin S (2022) Behavioural adjustments of predators and prey to wind speed in the boreal forest. Oecologia 200(3):349–358. https://doi.org/10.1007/s00442-022-05266-w. (PMID: 10.1007/s00442-022-05266-w36175692) Stutz RS, Banks PB, Dexter N, McArthur C (2015) Herbivore search behaviour drives associational plant refuge. Acta Oecologica 67:1–7. https://doi.org/10.1016/j.actao.2015.05.004. (PMID: 10.1016/j.actao.2015.05.004) Suraci JP, Smith JA, Chamaillé-Jammes S, Gaynor KM, Jones M, Luttbeg B, Ritchie EG, Sheriff MJ, Sih A (2022) Beyond spatial overlap : harnessing new technologies to resolve the complexities of predator–prey interactions. Oikos 2022(8):e09004. https://doi.org/10.1111/oik.09004. (PMID: 10.1111/oik.09004) Tan M, Zhang S, Stevens M, Li D, Tan EJ (2024) Antipredator defences in motion : Animals reduce predation risks by concealing or misleading motion signals. Biol Rev 99(3):778–796. https://doi.org/10.1111/brv.13044. (PMID: 10.1111/brv.1304438174819) Tay NE, Warburton NM, Moseby KE, Fleming PA (2023) Predator escape behaviour in threatened marsupials. Anim Conserv 26(4):587–601. https://doi.org/10.1111/acv.12847. (PMID: 10.1111/acv.12847) Thieurmel B, Elmarhraoui A (2025). suncalc: Compute Sun Position, Sunlight Phases, Moon Position and Lunar Phase. R package version 0.5.2, https://github.com/datastorm-open/suncalc . Togunov RR, Derocher AE, Lunn NJ (2017) Windscapes and olfactory foraging in a large carnivore. Sci Rep 7(1):1. https://doi.org/10.1038/srep46332. (PMID: 10.1038/srep46332) Tucker MA, Schipper AM, Adams TSF, Attias N, Avgar T, Babic NL, Barker KJ, Bastille-Rousseau G, Behr DM, Belant JL, Beyer DE, Blaum N, Blount JD, Bockmühl D, Pires Boulhosa RL, Brown MB, Buuveibaatar B, Cagnacci F, Calabrese JM, Mueller T (2023) Behavioral responses of terrestrial mammals to COVID-19 lockdowns. Science 380(6649):1059–1064. https://doi.org/10.1126/science.abo6499. (PMID: 10.1126/science.abo649937289888) Valeix M, Loveridge AJ, Chamaillé-Jammes S, Davidson Z, Murindagomo F, Fritz H, Macdonald DW (2009) Behavioral adjustments of African herbivores to predation risk by lions : Spatiotemporal variations influence habitat use. Ecology 90(1):23–30. https://doi.org/10.1890/08-0606.1. (PMID: 10.1890/08-0606.119294909) Valenta K, Schmitt MH, Ayasse M, Nevo O (2021) The sensory ecology of fear : African elephants show aversion to olfactory predator signals. Conserv Sci Pract 3(2):e333. https://doi.org/10.1111/csp2.333. (PMID: 10.1111/csp2.333) Warrant EJ, Johnsen S (2013) Vision and the light environment. Curr Biol 23(22):R990–R994. https://doi.org/10.1016/j.cub.2013.10.019. (PMID: 10.1016/j.cub.2013.10.01924262832) Wijers M, Trethowan P, du Preez B, Loveridge AJ, Markham A, Macdonald DW, Montgomery RA (2022) Something in the wind : The influence of wind speed and direction on African lion movement behavior. Behav Ecol 33(6):1180–1187. https://doi.org/10.1093/beheco/arac087. (PMID: 10.1093/beheco/arac087) Wikenros C, Kuijper DPJ, Behnke R, Schmidt K (2015) Behavioural responses of ungulates to indirect cues of an ambush predator. Behaviour 152(7/8):1019–1040. (PMID: 10.1163/1568539X-00003266) Wood M, Chamaillé-Jammes S, Hammerbacher A, Shrader AM (2022) African elephants can detect water from natural and artificial sources via olfactory cues. Anim Cogn 25:53–61. https://doi.org/10.1007/s10071-021-01531-2. Young KD, Ferreira SM, Van Aarde RJ (2009) Elephant spatial use in wet and dry savannas of southern Africa. J Zool 278(3):189–205. https://doi.org/10.1111/j.1469-7998.2009.00568.x. (PMID: 10.1111/j.1469-7998.2009.00568.x) |
| Contributed Indexing: | Keywords: GPS data; Movement behaviour; Olfaction; Predator–prey; Sensory cues |
| Entry Date(s): | Date Created: 20260328 Date Completed: 20260714 Latest Revision: 20260714 |
| Update Code: | 20260714 |
| DOI: | 10.1007/s00442-025-05860-8 |
| PMID: | 41902847 |
| Βάση Δεδομένων: | MEDLINE |
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