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Habitat use under predation risk: hunting, roads and human dwellings influence the spatial behaviour of roe deer

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Abstract

Wildlife populations are subjected to increasing pressure linked to human activities, which introduce multiple stressors. Recently, in addition to direct effects, it has been shown that indirect (non-lethal) effects of predation risk are predominant in many populations. Predation risk is often structured in space and time, generating a heterogeneous “landscape of fear” within which animals can minimize risks by modifying their habitat use. Furthermore, for ungulates, resource quality seems to be positively correlated with human-related sources of risk. We studied the trade-off between access to resources of high-quality and risk-taking by contrasting habitat use of roe deer during daytime with that during nighttime for 94 roe deer in a hunted population. Our first hypothesis was that roe deer should avoid human disturbance by modifying their habitat use during daytime compared to nighttime. Our results supported this, as roe deer mainly used open fields during nighttime, but used more forested habitats during daytime, when human disturbance is higher. Moreover, we found that diel patterns in habitat use were influenced by hunting disturbance. Indeed, the roe deer decreased their use of high-crops during daytime, an important source of cover and food, during the hunting season. The proximity of roads and dwellings also affected habitat use, since roe deer used open fields during daytime to a greater extent when the distance to these sources of disturbance was higher. Hence, our results suggest that roe deer resolve the trade-off between the acquisition of high-quality resources and risk avoidance by modifying their habitat use between day and night.

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References

  • Abbas F, Morellet N, Hewison AJM, Merlet J, Cargnelutti B, Lourtet B, Angibault J-M, Daufresne T, Aulagnier S, Verheyden H (2011) Landscape fragmentation generates spatial variation of diet composition and quality in a generalist herbivore. Oecologia 167:401–411

    Article  PubMed  Google Scholar 

  • Adrados C, Verheyden-Tixier H, Cargnelutti B, Pépin D, Janeau G (2003) GPS approach to study fine-scale site use by wild red deer during active and inactive behaviors. Wildl Soc Bull 31:544–552

    Google Scholar 

  • Apollonio M, Andersen R, Putman RJ (2010) Present status and future challenges for European ungulate management. In: Apollonio M, Andersen R, Putman R (eds) European ungulates and their management in the 21st century. Cambridge University Press, Cambridge, UK, pp 578–604

    Google Scholar 

  • Bakken M, Moe RO, Smith AJ, Selle G-ME (1999) Effects of environmental stressors on deep body temperature and activity levels in silver fox vixens (Vulpes vulpes). Appl Anim Behav Sci 64:141–151

    Article  Google Scholar 

  • Bates D, Maechler M, Bolker B (2011) Lme4: linear mixed-effects models using S4 classes. R package version 0.999375–41

  • Béchet A, Giroux J-F, Gauthier G (2004) The effects of disturbance on behaviour, habitat use and energy of spring staging snow geese. J Appl Ecol 41:689–700

    Article  Google Scholar 

  • Beier P, McCullough DR (1990) Factors influencing white-tailed deer activity patterns and habitat use. Wildl Monogr 109:3–51

    Google Scholar 

  • Benhaïem S, Delon M, Lourtet B, Cargnelutti B, Aulagnier S, Hewison AJM, Morellet N, Verheyden H (2008) Hunting increases vigilance levels in roe deer and modifies feeding site selection. Anim Behav 76:611–618

    Article  Google Scholar 

  • Bjørneraas K, Solberg EJ, Herfindal I, Van Moorter B, Rolandsen CM, Tremblay J-P, Skarpe C, Saether B-E, Eriksen R, Astrup R (2011) Moose Alces alces habitat use at multiple temporal scales in a human-altered landscape. Wildl Biol 17:44–54

    Article  Google Scholar 

  • Blumstein DT, Daniel JC (2002) Isolation from mammalian predators differentially affects two congeners. Behav Ecol 13:657–663

    Article  Google Scholar 

  • Boyle SA, Samson FB (1985) Effects of non-consumptive recreation on wildlife: a review. Wildl Soc Bull 13:110–116

    Google Scholar 

  • Brown JS, Laundré JW, Gurung M (1999) The ecology of fear: optimal foraging, game theory, and trophic interactions. J Mammal 80:385–399

    Article  Google Scholar 

  • Burnham KP, Anderson DR (1998) Model selection and inference: a practical information-theoretic approach. Springer Verlag, New York, NY

    Book  Google Scholar 

  • Cederlund G (1981) Daily and seasonal activity pattern of roe deer in a boreal habitat. Swedish Wildl Res 11:315–347

    Google Scholar 

  • Cimino L, Lovari S (2003) The effects of food or cover removal on spacing patterns and habitat use in roe deer (Capreolus capreolus). J Zool 261:299–305

    Article  Google Scholar 

  • Cole EK, Pope MD, Anthony RG (1997) Effects of road management on movement and survival of Roosevelt elk. J Wildl Manag 61:1115–1126

    Article  Google Scholar 

  • Coulon A, Morellet N, Goulard M, Cargnelutti B, Angibault J-M, Hewison AJM (2008) Inferring the effects of landscape structure on roe deer (Capreolus capreolus) movements using a step selection function. Landsc Ecol 23:603–614

    Article  Google Scholar 

  • Creel S, Christianson D (2008) Relationships between direct predation and risk effects. Trends Ecol Evol 23:194–201

    Article  PubMed  Google Scholar 

  • Creel S, Christianson D, Liley S, Winnie JA Jr (2007) Predation risk affects reproductive physiology and demography of elk. Sci 315:960

    Article  CAS  Google Scholar 

  • Creel S, Winnie JA Jr (2005) Responses of elk herd size to fine-scale spatial and temporal variation in the risk of predation by wolves. Anim Behav 69:1181–1189

    Article  Google Scholar 

  • Dodson S (1989) Predator-induced reaction norms. Cyclic changes in shape and size can be protective. BioSci 39:447–452

    Article  Google Scholar 

  • Duncan P, Tixier H, Hofmann RR, Lechner-Doll M (1998) Feeding strategies and digestive physiology. In: Andersen R, Duncan P, Linnell JDC (eds) The European roe deer: the biology of success. Scandinavian University Press, Oslo, Norway, pp 91–116

    Google Scholar 

  • Edwards J (1983) Diet shifts in moose due to predator avoidance. Oecologia 60:185–189

    Article  Google Scholar 

  • Fortin D, Andruskiw M (2003) Behavioral response of free-ranging bison to human disturbance. Wildl Soc Bull 31:804–813

    Google Scholar 

  • Frid A, Dill L (2002) Human-caused disturbance stimuli as a form of predation risk. Conserv Ecol 6:11

    Google Scholar 

  • Godvik I, Loe LE, Vik J, Veiberg V, Langvatn R, Mysterud A (2009) Temporal scales, trade-offs, and functional responses in red deer habitat selection. Ecol 90:699–710

    Article  Google Scholar 

  • Grignolio S, Merli E, Bongi P, Ciuti S, Apollonio M (2011) Effects of hunting with hounds on a non-target species living on the edge of a protected area. Biol Conserv 144:641–649

    Article  Google Scholar 

  • Hayes CL, Krausman PR (1993) Nocturnal activity of female desert mule deer. J Wildl Manag 57:897–904

    Article  Google Scholar 

  • Heithaus MR, Dill LM (2002) Food availability and tiger shark predation risk influence bottlenose dolphin habitat use. Ecol 83:480–491

    Article  Google Scholar 

  • Hernández L, Laundré JW (2005) Foraging in the ‘landscape of fear’ and its implications for habitat use and diet quality of elk Cervus elaphus and bison Bison bison. Wildl Biol 11:215–220

    Article  Google Scholar 

  • Hewison AJM, Angibault J-M, Cargnelutti B, Coulon A, Rames J-L, Serrano E, Verheyden H, Morellet N (2007) Using radio-tracking and direct observation to estimate roe deer Capreolus capreolus density in a fragmented landscape: a pilot study. Wildl Biol 13:313–320

    Article  Google Scholar 

  • Hewison AJM, Vincent JP, Joachim J, Angibault JM, Cargnelutti B, Cibien C (2001) The effects of woodland fragmentation and human activity on roe deer distribution in agricultural landscapes. Can J Zool 79:679–689

    Article  Google Scholar 

  • Hewison AJM, Vincent JP, Reby D (1998) Social organization of European roe deer. In: Andersen R, Duncan P, Linnell JDC (eds) The European roe deer: the biology of success. Scandinavian University Press, Oslo, Norway, pp 189–219

    Google Scholar 

  • Jayakody S, Sibbald AM, Gordon IJ, Lambin X (2008) Red deer Cervus elaphus vigilance behavior differs with habitat and type of human disturbance. Wildl Biol 14:81–91

    Article  Google Scholar 

  • Jayakody S, Sibbald AM, Mayes RW, Hooper RJ, Gordon IJ, Lambin X (2011) Effects of human disturbance on the diet composition of wild red deer (Cervus elaphus). Eur J Wildl Res 57:939–948

    Article  Google Scholar 

  • Jeppesen JL (1989) Activity patterns of free-ranging roe deer (Capreolus capreolus) at Kalø. Dan Rev of Game Biol 13:1–32

    Google Scholar 

  • Jiang G, Zhang M, Ma J (2008) Habitat use and separation between red deer Cervus elaphus xanthopygus and roe deer Capreolus pygargus bedfordi in relation to human disturbance in the Wandashan Moutains, northeastern China. Wildl Biol 14:92–100

    Article  Google Scholar 

  • Keuling O, Stier N, Roth M (2008) How does hunting influence activity and spatial usage in wild boar Sus scrofa L.? Eur J Wildl Res 54:729–737

    Article  Google Scholar 

  • Kie JG (1999) Optimal foraging and risk of predation: effects on behavior and social structure in ungulates. J Mammal 80:1114–1129

    Article  Google Scholar 

  • Kilgo JC, Labisky RF, Fritzen DE (1998) Influences of hunting on the behavior of white-tailed deer: implications for conservation of the Florida panther. Conserv Biol 12:1359–1364

    Article  Google Scholar 

  • Kjøstvedt JH, Mysterud A, Østbye E (1998) Roe deer Capreolus capreolus use of agricultural crops during winter in the Lier valley, Norway. Wildl Biol 4:23–31

    Google Scholar 

  • Knight R, Gutzwiller K (1995) Wildlife and recreationists: coexistence through management and research. Island Press, Washington, DC

    Google Scholar 

  • Larson TJ, Rongstad OJ, Terbilcox FW (1978) Movement and habitat use of white-tailed deer in Southcentral Wisconsin. J Wildl Manag 42:113–117

    Article  Google Scholar 

  • Laundré JW, Hernandez L, Altendorf KB (2001) Wolves, elk, and bison: reestablishing the “landscape of fear” in Yellowstone National Park, USA. Can J Zool 79:1401–1409

    Article  Google Scholar 

  • Lima SL (1995) Back to the basics of anti-predatory vigilance: the group-size effect. Anim Behav 49:11–20

    Article  Google Scholar 

  • Lima SL, Bednekoff PA (1999) Temporal variation in danger drives antipredator behavior: the predation risk allocation hypothesis. Am Nat 153:649–659

    Article  Google Scholar 

  • Lima SL, Dill LM (1990) Behavioural decisions made under the risk of predation: a review and prospectus. Can J Zool 68:619–640

    Article  Google Scholar 

  • Linnell JDC, Andersen R (1995) Site tenacity in roe deer: short-term effects of logging. Wildl Soc Bull 23:31–35

    Google Scholar 

  • Linnell JDC, Duncan P, Andersen R (1998) The European roe deer: a portrait of a successful species. In: Andersen R, Duncan P, Linnell JDC (eds) The European roe deer: the biology of success. Scandinavian University Press, Oslo, Norway, pp 11–22

    Google Scholar 

  • Liu J, Ouyang Z, Taylor WW, Groop R, Tan Y, Zhang H (1999) A framework for evaluating the effects of human factors on wildlife habitat: the case of giant pandas. Conserv Biol 13:1360–1370

    Article  Google Scholar 

  • MacArthur RA, Geist V, Johnston RH (1982) Cardiac and behavioral responses of mountain sheep to human disturbance. J Wildl Manag 46:351–358

    Article  Google Scholar 

  • Madsen J, Fox AD (1995) Impacts of hunting disturbance on waterbirds — a review. Wildl Biol 1:193–207

    Google Scholar 

  • Manly BFJ, McDonald LL, Thomas DL, McDonald TL, Erickson W (2002) Resource selection by animals: statistical design and analysis for field studies, 2nd edn. Kluwer Press, New York, NY

    Google Scholar 

  • Manor R, Saltz D (2005) Effects of human disturbance on use of space and flight distance of mountain gazelles. J Wildl Manag 69:1683–1690

    Article  Google Scholar 

  • Markovchick-Nicholls L, Regan HM, Deutschman DH, Widyanata A, Martin B, Noreke L, Hunt TA (2008) Relationships between human disturbance and wildlife land use in urban habitat fragments. Conserv Biol 22:99–109

    Article  PubMed  Google Scholar 

  • Mazerolle MJ (2011) AICcmodavg: model selection and multimodel inference based on (Q)AIC(c). R package version 1.19

  • McLellan BN, Shackleton DM (1988) Grizzly bears and resource-extraction industries: effects of roads on behaviour, habitat use and demography. J Appl Ecol 25:451–460

    Article  Google Scholar 

  • Morellet N, Klein F, Solberg E, Andersen R (2011a) The census and management of populations of ungulates in Europe. In: Putman R, Apollonio M, Andersen R (eds) Ungulate management in Europe: problems and practices. Cambridge University Press, Cambridge, UK, pp 106–143

    Chapter  Google Scholar 

  • Morellet N, Van Moorter B, Cargnelutti B, Angibault J-M, Lourtet B, Merlet J, Ladet S, Hewison AJM (2011b) Landscape composition influences roe deer habitat selection at both home-range and landscape scales. Landscape Ecol 26:999–1010

    Article  Google Scholar 

  • Munns WR (2006) Assessing risks to wildlife populations from multiple stressors: overview of the problem and research needs. Ecol Soc 11:23

    Google Scholar 

  • Mysterud A, Larsen PK, Ims RA, Østbye E (1999a) Habitat selection by roe deer and sheep: does habitat ranking reflect resource availability? Can J Zool 77:776–783

    Article  Google Scholar 

  • Mysterud A, Lian L-B, Hjermann DØ (1999b) Scale-dependent trade-offs in foraging by European roe deer (Capreolus capreolus) during winter. Can J Zool 77:1486–1493

    Google Scholar 

  • Náhlik A, Sándor G, Tari T, Király G (2009) Space use and activity patterns of red deer in a highly forested and in a patchy forest–agricultural habitat. Acta Silv Lign Hung 5:109–118

    Google Scholar 

  • Preisser E, Bolnik D, Benard M (2005) Scared to death? The effects of intimidation and consumption in predator–prey interactions. Ecology 86:501–509

    Article  Google Scholar 

  • R Development Core Team (2010) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0, URL http://www.R-project.org/

  • Robinson RA, Sutherland WJ (2002) Post-war changes in arable farming and biodiversity in Great Britain. J Appl Ecol 39:157–176

    Article  Google Scholar 

  • Rovero F, Hughes RN, Chelazzi G (1999) Cardiac and behavioural responses of mussels to risk of predation by dogwhelks. Anim Behav 58:707–714

    Article  PubMed  Google Scholar 

  • Saïd S, Tolon V, Brandt S, Baubet E (2012) Sex effect on habitat selection in response to hunting disturbance: the study of wild boar. Eur J Wildl Res 58:107–115

    Article  Google Scholar 

  • Scillitani L, Monaco A, Toso S (2010) Do intensive drive hunts affect wild boar (Sus scrofa) spatial behaviour in Italy? Some evidences and management implications. Eur J Wildl Res 56:307–318

    Article  Google Scholar 

  • Searle KR, Stokes CJ, Gordon IJ (2008) When foraging and fear meet: using foraging hierarchies to inform assessments of landscapes of fear. Behav Ecol 19:475–482

    Article  Google Scholar 

  • Sih A, Ziemba R, Harding KC (2000) New insights on how temporal variation in predation risk shapes prey behavior. Trends Ecol Evol 15:3–4

    Article  PubMed  Google Scholar 

  • Stankowich T (2008) Ungulate flight responses to human disturbance: a review and meta-analysis. Biol Conserv 141:2159–2173

    Article  Google Scholar 

  • Tarlow EM, Blumstein DT (2007) Evaluating methods to quantify anthropogenic stressors on wild animals. Appl Anim Behav Sci 102:429–451

    Article  Google Scholar 

  • Tollrian R, Harvell CD (1999) The evolution of inducible defenses: current ideas. In: Tollrian R, Harvell CD (eds) The ecology and evolution of inducible defenses. Princeton University Press, Princeton, pp 306–321

    Google Scholar 

  • 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 90:23–30

    Article  PubMed  CAS  Google Scholar 

  • Vercauteren KC, Hygnstrom SE (1998) Effects of agricultural activities and hunting on home ranges of female white-tailed deer. J Wildl Manag 62:280–285

    Article  Google Scholar 

  • Verdolin JL (2006) Meta-analysis of foraging and predation risk trade-offs in terrestrial systems. Behav Ecol Sociobiol 60:457–464

    Article  Google Scholar 

  • Webb SL, Dzialak MR, Harju SM, Hayden-Wing LD, Winstead JB (2011) Effects of human activity on space use and movement patterns of female elk. Wildl Soc Bull 35:261–269

    Article  Google Scholar 

  • Ylönen H, Eccard JA, Jokinen I, Sundell J (2006) Is the antipredatory response in behaviour reflected in stress measured in faecal corticosteroids in a small rodent? Behav Ecol Sociobiol 60:350–358

    Article  Google Scholar 

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Acknowledgments

We thank the local hunting associations, the Fédération Départementale des Chasseurs de la Haute-Garonne for allowing us to work in the Comminges, as well as all co-workers and volunteers for help collecting data. We also thank two anonymous referees for giving helpful comments on a previous version of this paper.

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Correspondence to Nadège Bonnot.

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Communicated by C. Gortázar

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Fig. S1

Estimated daytime versus nighttime habitat use probabilities of roe deer as generated by the best model for the six sex-age modalities (adult females, adult males, sub-adult females, sub-adult males, yearling females and yearling males) and for the five habitat types (woodland, hedgerow, high-crop, crop and meadow). For example, fixes located in woodland had a probability superior than 80 % of being sampled during daytime (versus 20 % of fixes located in woodland sampled during nighttime) for all sex-age categories. The dashed line represents a level of use that is identical between daytime and nighttime (p = 0.5, null hypothesis), and bars represent the standard errors (PDF 6 kb)

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Bonnot, N., Morellet, N., Verheyden, H. et al. Habitat use under predation risk: hunting, roads and human dwellings influence the spatial behaviour of roe deer. Eur J Wildl Res 59, 185–193 (2013). https://doi.org/10.1007/s10344-012-0665-8

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