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UC Berkeley UC Berkeley Previously Published Works

Title The influence of human on wildlife nocturnality.

Permalink https://escholarship.org/uc/item/87b547gj

Journal Science (New York, N.Y.), 360(6394)

ISSN 0036-8075

Authors Gaynor, Kaitlyn M Hojnowski, Cheryl E Carter, Neil H et al.

Publication Date 2018-06-01

DOI 10.1126/science.aar7121

Peer reviewed

eScholarship.org Powered by the California Digital Library University of California RESEARCH

HUMAN IMPACTS under conditions of low and high human distur- bance. We classified areas, time periods, or indi- vidual animals as being associated with low or The influence of human disturbance high disturbance on the basis of categorical de- scriptions of the study system or binned distance or elapsed time from an anthropogenic distur- on wildlife nocturnality bance (tables S1 and S3). For each species in each study, we calculated Kaitlyn M. Gaynor1*, Cheryl E. Hojnowski1, Neil H. Carter2, Justin S. Brashares1 the risk ratio (RR) as a measure of effect size. We compared the percentage of activity that occurred Rapid expansion of human activity has driven well-documented shifts in the spatial at night (as measured by motion-activated cam- distribution of wildlife, but the cumulative effect of human disturbance on the temporal eras, telemetry devices, and direct observation) dynamics of animals has not been quantified. We examined anthropogenic effects on at sites or during of high human distur- mammal diel activity patterns, conducting a meta-analysis of 76 studies of 62 species bance (Xh) with nighttime activity under low dis- from six continents. Our global study revealed a strong effect of humans on daily patterns turbance (Xl), with RR = ln(Xh/Xl). A positive RR of wildlife activity. Animals increased their nocturnality by an average factor of 1.36 in indicated a relatively greater degree of noctur- response to human disturbance. This finding was consistent across continents, , nality in response to humans, and a negative RR taxa, and human activities. As the global human footprint expands, temporal avoidance indicated reduced nocturnality. We used meta- of humans may facilitate human-wildlife coexistence. However, such responses can result analytical random-effects models to estimate the in marked shifts away from natural patterns of activity, with consequences for , overall effect of human disturbance on noctur- population persistence, interactions, and evolution. nality and to compare responses across types of human disturbance, species traits, habitats, con- Downloaded from he global expansion of human activity has by separating themselves in time rather than in tinents, and study methods. We also used multi- had profound consequences for wildlife. space (6). Temporal partitioning is a common, variate models to explore the relative importance Research has documented the effects of even intrinsic, feature of ecological communities, of these factors with an information-theoretic destruction and defaunation on shaping spatiotemporal patterns of approach. T 6–8 species and (1), but the indirect and ( ). Here we show that hu- Our analysis revealed a marked increase in

or nonlethal pathways through which humans mans, as a diurnal apex “super predator” (9), are nocturnal activity. Overall, mammal nocturnal- http://science.sciencemag.org/ alter the natural world have largely eluded quan- driving increases in nocturnal activity across di- ity increased by a factor of 1.36 [95% confidence tification. Human presence can instill strong fear verse mammalian taxa. interval (CI), 1.23 to 1.51] in areas or time periods in wild animals, which may adjust their activity To quantify temporal shifts in wildlife activ- of high human disturbance relative to noctur- to avoid contact with humans (2). As in natural ity in response to humans, we conducted a meta- nality under low-disturbance conditions. For ex- predator-prey systems, such risk avoidance can analysis of published literature on the activity of ample, an animal that typically split its activity have important nonlethal effects on animal phys- mammals across gradients of human disturbance. evenly between the day and night would increase iology and fitness, affecting demography and Our dataset included 141 effect sizes for 62 mam- its proportion of nocturnal activity to 68% of total triggering trophic cascades (3). mal species, representing 21 families and nine activity near human disturbance. Of the 141 effect The study of fear effects on animals has fo- orders, and spanned six continents (Fig. 1A). We sizes, 83% corresponded to an increase in noctur- cused mainly on spatial avoidance, propelled by restricted our analysis to medium- and large- nality in response to humans (Fig. 1B). This finding

10 rapid advances in wildlife tracking, remote sens- bodied mammals [>1 kg in body size ( )] be- on June 14, 2018 ing, and computational methods (2, 4). However, cause of their large space needs, potential for as the human footprint expands (5), fewer areas conflict with humans, and high levels of behav- 1Department of Environmental Science, Policy, and – are available for animals to seek spatial refuge ioral plasticity and because data on their 24-hour Management, University of California Berkeley, Berkeley, CA 94720, USA. 2Human-Environment Systems Research from people. In places where wild animals co- activity patterns were widely available. Within Center, Boise State University, Boise, ID 83725, USA. occur with humans, animals may minimize risk each study, we compared animal nocturnality *Corresponding author. Email: [email protected]

Fig. 1. Mammals become more nocturnal to avoid humans throughout low human disturbance (Xl), displayed for each species in each study the world. (A) Map illustrating the locations of the 76 studies included in the (n = 141 effect sizes, ordered from high to low Xl). The relative change in meta-analysis. (B) Paired measures of nocturnality (percentage of activity nocturnality in response to human disturbance was used to calculate that occurs in the night) in areas of high human disturbance (Xh)and the effect size (RR) for the meta-analysis, where RR = ln(Xh/Xl).

Gaynor et al., Science 360, 1232–1235 (2018) 15 June 2018 1of4 RESEARCH | REPORT

Fig. 2. Increase in large mammal ing and less time or engaging in other Lethal activity (N=38) 21 nocturnality in relation to human Agriculture (13) fitness-enhancing behaviors ( ). activity types, , and Development (rural) (18) We assert that fear of humans is the primary body size. Points represent the Development (urban) (11) mechanism driving the increase in wildlife noc- estimated overall effect size (with Extractive industry (7) turnality, given its prevalence across activity Hiking & walking (58) 95% CIs) for each category. Positive Livestock (25) types and the widespread evidence that mam- valuesindicatearelativeincreasein Other recreation (18) mals perceive and respond to risk from people nocturnal activity in areas of higher harvesting (24) (2, 4). In some of the studies included in our human disturbance. The number Vehicles (40) analysis, fear of humans may have interacted of effect sizes in each category is (58) with other factors, such as food provisioning indicated in parentheses (human (29) (through anthropogenic food sources such as activity categories were nonexclusive). (54) livestock, crops, and food waste), to drive in- Mammals exhibit a significant increase creased nocturnal activity (rather than spatial <10 kg (33) in nocturnal activity in response to all (32) avoidance) by generalist species in areas of hu- types of human activity, with similar (39) man disturbance (22, 23). Furthermore, night- patterns across trophic levels and >100 kg (37) time light cues or increased visibility around body sizes. Back-transforming the OVERALL (141) permanent human infrastructure may also pro- overall (mean) RR (0.31; CI, 0.21 to mote an increase in nocturnal activity in these 0.41) indicates that nocturnality -0.4 0.0 0.4 0.8 1.2 areas (24). However, for animals wary of humans increased by a factor of 1.36 (CI, 1.23 Risk Ratio or more fearful of predators in lit areas, anthro- to 1.51) in response to human activity. pogenic light may also be perceived as a source of risk and thus may limit the magnitude of a Downloaded from shift to nocturnality (25). indicates a widespread increase in nocturnality try, or direct observation), human disturbance Theglobalincreaseofnocturnalityamongwild- among mammals living alongside people. treatment (space or time), and continent were life in human-dominated areas demonstrates the Our analysis spanned a wide range of human included as predictors of effect size in the best high degree of behavioral plasticity of animals in disturbances associated with diverse stimuli rep- multivariate models (tables S5 and S6). a human-altered world, with great implications

resenting different levels of risk to wildlife, includ- The absence of increased nocturnal activity by for and conservation (Fig. 3). On the pos- http://science.sciencemag.org/ ing lethal activities (e.g., hunting and retaliatory wildlife in many of the studies examined does itive side, temporal partitioning may facilitate persecution), nonlethal activities (e.g., hiking and not necessarily indicate an absence of human human-wildlife coexistence at fine spatial scales natural resource extraction), and human infra- impact. Differences in age, sex, reproductive sta- andeffectivelyincreaseavailable habitats for spe- structure (e.g., urban development, road con- tus, and personality may shape responses and cies that are able to adjust (26). The separation of struction, and agriculture). There was a significant mask patterns at the population level (11). For ex- humans and wildlife in time, if not space, may increase in nocturnality in response to all forms ample, in one population of brown (Ursus also limit contact rates between people and dan- of human presence (Fig. 2), signaling the robust- arctos),humanrecreationinducedtemporalshifts gerous animals and therefore reduce some forms ness of our findings. Surprisingly, nonlethal hu- among adult males that created additional day- of negative encounters between the two, such as man activities generated shifts in wildlife diel time feeding opportunities for females, which are disease transmission and attacks on people. In patterns similar to those from lethal activities often otherwise outcompeted by males for access situations where humans pose a lethal threat to

(Fig. 2), suggesting that animals perceive and to resources (12). Alternatively, ecological and wildlife, increased nocturnality may be advanta- on June 14, 2018 respond to humans as threats even when they morphological constraints may limit behavioral geous to individual animals and has been linked pose no direct risk. plasticity, causing individuals to remain active to increased probability of survival (27). In this We expected temporal responses of wildlife to during the daytime in the presence of humans, case, increased mortality among more diurnal vary across species, given interspecific differ- thereby incurring the cost of increased stress individuals may even drive selective pressure for ences in biology such as variation in morphology or energetically expensive antipredator behav- behavioral plasticity and nocturnal activity (27). and behavior. Body sizes of the 63 species ana- iors (13). Animals living alongside humans in Though human-wildlife coexistence may be a lyzed ranged from 1.13 kg for the common opos- disturbed ecosystems may face additional con- positive outcome of increased nocturnal activity sum (Didelphis marsupialis) to >3,500 kg for the straints (e.g., limited food resources) that limit of wildlife, this shift may also have negative and African elephant (Loxodonta africana). Mam- their ability to respond temporally (14). At the far-reaching ecological consequences. Humans mals of all body size classes showed a strong re- community level, strictly diurnal species may may impose substantial fitness costs on individ- sponse to human activity, although there was a also entirely avoid areas of human activity, open- ual animals, analogous to predation risk effects in slight trend toward a greater response among ing niches for more nocturnal competitors, in- predator-prey systems, in which costly antipred- larger-bodied species (Fig. 2), perhaps because cluding (15). ator behavior compromises prey reproduction theyaremorelikelytobehuntedandharassedor In addition to changing diel patterns of activ- and survival and alters trophic interactions (28). because their space needs force them into more ityinresponsetohumandisturbance,wildlife An increase in nocturnality may also eventually frequent contact with people. Across trophic lev- species may alter temporal patterns of specific alter evolution through selection for morpholog- els, species also exhibited similar responses to behaviors. During the day, animals often choose ical, physiological, and behavioral to human activity (Fig. 2). Even apex , more protected habitats or microhabitats in areas nighttime activity. The human “super predator” which from an evolutionary perspective have typ- of human disturbance (16) or more strongly avoid has already been implicated in evolutionary ically faced little or no predation risk from other anthropogenic features like roads and buildings changes through selective harvest (29), but as species, responded to humans by becoming more (17, 18). Some species also modify daytime and with other predators (3), the nonlethal effects of active at night. Species that are typically diur- nighttime movement speed and tortuosity (19) humans may have an even stronger influence nal showed an increase in nocturnality, and even and temporal patterns ofantipredatorbehav- on fitness and evolutionary trajectories. crepuscular and nocturnal species became more ior such as vigilance (20). Furthermore, in ad- Risk effects induced by a temporal response strongly nocturnal around humans (fig. S3A). dition to shifting activity from the day to the to human presence are expected to be particu- Human activity increased wildlife nocturnality night, animals often decrease their overall activ- larly strong, as an increase in nocturnal activity across continents and habitat types (fig. S3, B ity throughout the 24-hour period in response to can cause mismatches between morphology and and C). The study method (camera trap, teleme- human disturbance, spending more time rest- environment for historically diurnal species. The

Gaynor et al., Science 360, 1232–1235 (2018) 15 June 2018 2of4 RESEARCH | REPORT diel cycle provides a reliable set of environmen- [e.g., opsin proteins (32)], and ecology [e.g., group optimize diurnal behavior (34, 35). When ac- tal cues against which ecological and evolution- living and predation risk (33)]. Although most tive at other times, diurnally adapted animals ary processes play out (30). Behavior at different mammals possess some sensory adaptations to may suffer from reduced hunting and foraging times of the diel cycle influences and is influenced nighttime activity due to nocturnal mammalian efficiency, weakened antipredator strategies, by morphology [e.g., corneal size (31)], physiology ancestors, many species have evolved traits that disruption of social behavior, poor naviga- tional capacity, and higher metabolic costs, all of which can compromise reproduction and survival (36, 37). By altering typical activity patterns in some wildlife species, human disturbance initiates be- haviorally mediated trophic cascades and trans- forms entire ecological communities (38, 39). Fear-based behavioral responses by apex preda- tors to humans may diminish their ability to hunt and thus perform their ecological role at the top of a trophic web (40). Animals that are increas- ingly nocturnal may drastically alter their diets toward prey or forage that are more accessible at night, reshaping lower trophic levels (41). Predators may also abandon kills near human settlements in the daytime, resulting in increased overall predation rates (42). Human-induced in- Downloaded from creases in nocturnality among prey species can also increase their vulnerability to nocturnal predators (43). Differential responses to human disturbance among mammal species also alters patterns of predation and competition. Predators

mayincreasenocturnalityinresponsetohumans, http://science.sciencemag.org/

creating temporal human shields, in which a prey /CREATIVECOMMONS.ORG/LICENSES/BY-NC/2.0/); species will then decreasenocturnalitynearhuman disturbance to avoid predation, analogous to spatial human shields (44, 45). Alternatively, some prey species may instead seek out human-dominated SES/BY/2.0/)

areas at night to escape nocturnal predators that OLDEN JONES (HTTPS:/ spatially avoid humans (46). Human-induced change in diel activity is a growing field of inquiry, as indicated by the large number of studies in our meta-analysis

(table S1). However, very few studies have exam- on June 14, 2018 ined the individual-, population-, or community- level consequences of these behavioral changes. Given the widespread nature of increased night- time activity, there is ample opportunity and need to study not just the magnitude of this ef- fect but also its consequences for individual fit- ness, species interactions, and natural selection. Additional research and synthetic analyses are STEFFAN FREDRIK KYLLAND (HTTPS://CREATIVECOMMONS.ORG/LICENSES/BY/2.0/); /CREATIVECOMMONS.ORG/LICENSES/BY/2.0/); also needed for nonmammalian taxa, which may also exhibit diel shifts in response to humans (47). As research on the pattern and consequences /CREATIVECOMMONS.ORG/LICENSES/BY-SA/2.0/); AXEL FASSIO/CENTER FOR INTERNATIONAL FORESTRY RESEARCH (HTTPS://CREATIVECOMMONS. of increased nocturnality advances, we urge that similar progress be made to incorporate knowl- edge of temporal dynamics into conservation planning. Currently, spatial ecology informs commonly used land-planning tools (48), but new tools are needed that explicitly address temporal interactions. Approaches may include diurnal “temporal zoning,” analogous to spatial zoning, that would restrict certain human acti- Fig. 3. Case studies demonstrate the diverse consequences of human-induced increases in vities during times of the day when species of nocturnality. (A) Red brocket deer (Mazama americana) and subsistence hunting, Atlantic Forest, conservation concern are most active or when Argentina (50). (B)Coyote(Canis latrans) and hiking, Santa Cruz Mountains, CA (51, 52). (C)Sable the likelihood of negative human-wildlife en- /CREATIVECOMMONS.ORG/LICENSES/BY-SA/2.0/); AKASH KURDEKAR (HTTPS:/ antelope (Hippotragus niger) and sport hunting, Hwange National Park, Zimbabwe (53). (D) counters is highest. Similar strategies already (Panthera tigris) and forest product collection and farming, Chitwan National Park, Nepal (26). (E)Wild restrict human activity at certain times of the boar (Sus scrofa) and urban development, Cracow and Białowieza Forest, Poland (54). Green bars year, such as during breeding seasons (49). Sys- represent nocturnality (the percentage of total activity that occurs in the night) in areas of low human tematic approaches to understanding and man- PHOTOS: (FROM LEFT TO RIGHTORG/LICENSES/BY-NC-ND/2.0/); U.S. AND TOP FISH TO BOTTOM) AND BERNARD DUPONT WILDLIFE (HTTPS:/ SERVICE PACIFIC SOUTHWEST REGION H (HTTPS://CREATIVECOMMONS.ORG/LICENSES/BY-SA/2.0/); BERNARD DUPONT (HTTPS:/ disturbance (Xl), and red bars represent nocturnality in areas of high human disturbance (Xh). aging temporal interactions between humans LARSNEIL K. H. JENSEN CARTER; TOMASZ (HTTPS://CREATIVECOMMONS.ORG/LICEN PRZYWECKI (HTTPS://CREATIVECOMMONS.ORG/LICENSES/BY-NC-ND/2.0/);

Gaynor et al., Science 360, 1232–1235 (2018) 15 June 2018 3of4 RESEARCH | REPORT

and wildlife can open up new domains for con- 25. T. Longcore, C. Rich, Front. Ecol. Environ. 2, 191–198 (2004). 49.C.L.Larson,S.E.Reed,A.M.Merenlender,K.R.Crooks, servation in an increasingly crowded world. 26. N. H. Carter, B. K. Shrestha, J. B. Karki, N. M. B. Pradhan, PLOS ONE 11, e0167259 (2016). J. Liu, Proc.Natl.Acad.Sci.U.S.A.109,15360–15365 50. M. S. Di Bitetti, A. Paviolo, C. A. Ferrari, C. De Angelo, – REFERENCES AND NOTES (2012). Y. Di Blanco, Biotropica 40, 636 645 (2008). 27. M. H. Murray, C. C. St. Clair, Behav. Ecol. 26, 1520–1527 (2015). 51. Y. Wang, M. L. Allen, C. C. Wilmers, Biol. Conserv. 190,23–33 1. R. Dirzo et al., Science 345, 401–406 (2014). 28. S. Creel, D. Christianson, Trends Ecol. Evol. 23, 194–201 (2015). 2. A. Frid, L. M. Dill, Conserv. Ecol. 6, 11 (2002). (2008). 52. J.A.Smith,A.C.Thomas,T.Levi,Y.Wang,C.C.Wilmers,Oikos (2018). 3. E. L. Preisser, D. I. Bolnick, M. E. Benard, Ecology 86, 501–509 29. C. T. Darimont et al., Proc. Natl. Acad. Sci. U.S.A. 106, 952–954 53. W. G. Crosmary, M. Valeix, H. Fritz, H. Madzikanda, S. D. Côté, (2005). (2009). Anim. Behav. 83,145–153 (2012). 4. M. A. Tucker et al., Science 359, 466–469 (2018). 30. K. J. Gaston, J. Bennie, T. W. Davies, J. Hopkins, Biol. Rev. 54. T. Podgórski et al., J. Mammal. 94, 109–119 (2013). 5. O. Venter et al., Nat. Commun. 7, 12558 (2016). Cambridge Philos. Soc. 88 , 912–927 (2013). 6. N. Kronfeld-Schor, T. Dayan, Annu. Rev. Ecol. Evol. Syst. 34, 31. L. Schmitz, R. Motani, Vision Res. 50, 936–946 (2010). ACKNOWLEDGMENTS 153–181 (2003). 32. H. Zhao et al., Proc. Natl. Acad. Sci. U.S.A. 106, 8980–8985 (2009). 7. J. H. Carothers, F. M. Jaksić, Oikos 42, 403–406 (1984). We thank the authors of all studies included in this meta-analysis, 33. T. Stankowich, P. J. Haverkamp, T. Caro, Evolution 68, 8. D. B. Lesmeister, C. K. Nielsen, E. M. Schauber, E. C. Hellgren, especially those who provided additional data: A. Baker, P. Cruz, 1415–1425 (2014). Wildl. Monogr. 191,1–61 (2015). F. Dalerum, P. Díaz-Ruiz, T. Lynam, M. Murphy-Mariscal, 34. R. Maor, T. Dayan, H. Ferguson-Gow, K. E. Jones, Nat. Ecol. 9. M. Clinchy et al., Behav. Ecol. 27, 1826–1832 (2016). D. Ngoprasert, J. Nix, V. Oberosler, M. Reilly, L. Rich, Y. Wang, Evol. 1, 1889–1895 (2017). 10. K. E. Jones et al., Ecology 90, 2648 (2009). R. Wheat, and. T. Wronski. Special thanks to C. Burton, T. Forrester, 35. M. I. Hall, J. M. Kamilar, E. C. Kirk, Proc. R. Soc. London Ser. B 11. A. G. Hertel, J. E. Swenson, R. Bischof, Behav. Ecol. 28, W. McShea, R. Kays, R. Steenweg, and J. Whittington for thoughts 279, 4962–4968 (2012). 1524–1531 (2017). on an earlier version of this study and to N. Schramm for data- 36. A. Sih, Anim. Behav. 85, 1077–1088 (2013). 12. O. T. Nevin, B. K. Gilbert, Biol. Conserv. 121, 611–622 (2005). processing assistance. E. A. Lacey, A. D. Middleton, M. E. Power, the 37. U. Tuomainen, U. Candolin, Biol. Rev. Cambridge Philos. Soc. 13. J. A. Gill, K. Norris, W. J. Sutherland, Biol. Conserv. 97, Brashares Group at UC Berkeley, and three anonymous reviewers 86, 640–657 (2011). 265–268 (2001). provided helpful feedback and edits. Funding: K.M.G. and C.E.H. 38. E. E. Werner, S. D. Peacor, Ecology 84, 1083–1100 (2003). 14. J. Martin et al., Can. J. Zool. 88, 875–883 (2010). were funded by the NSF-GRFP; N.H.C. was supported by IIA-1301792 39.O.J.Schmitz,V.Křivan,O.Ovadia,Ecol. Lett. 7,153–163 (2004). 15. C. M. Huijbers, T. A. Schlacher, D. S. Schoeman, M. A. Weston, from the NSF Idaho EPSCoR Program; and J.S.B. was funded in – 40. A. S. Ordiz, R. Bischof, J. E. Swenson, Biol. Conserv. 168, part by NSF-CNH 115057. Author contributions: All authors designed R. M. Connolly, Landsc. Urban Plan. 119,1 8 (2013). – – 128 133 (2013). the research. K.M.G. analyzed the data and drafted the manuscript. 16. C. Dupke et al., Ecography 40, 1014 1027 (2016). Downloaded from 41. A. Ordiz, S. Sæbø, J. Kindberg, J. E. Swenson, O. G. Støen, 17. C. D. Morrison, M. S. Boyce, S. E. Nielsen, M. M. Bacon, J. Wildl. All authors contributed comments and edits to the final paper. Anim. Conserv. 20,51–60 (2017). Manage. 78, 1394–1403 (2014). Competing interests: The authors have no competing interests to 42. J. A. Smith, Y. Wang, C. C. Wilmers, Proc. R. Soc. London Ser. B 18. J. A. Stabach, G. Wittemyer, R. B. Boone, R. S. Reid, declare. Data and materials availability: All data are available 282, 20142711 (2015). J. S. Worden, Ecosphere 7, e01428 (2016). in the manuscript or the supplementary materials. 43. J. C. Kilgo, R. F. Labisky, D. E. Fritzen, Conserv. Biol. 12, 19. A. Oriol-Cotterill, D. W. Macdonald, M. Valeix, S. Ekwanga, 1359–1364 (1998). L. G. Frank, Anim. Behav. 101,27–39 (2015). SUPPLEMENTARY MATERIALS – 44. J. Berger, Biol. Lett. 3, 620–623 (2007). 20. L. Sönnichsen et al., 119, 233 243 (2013). www.sciencemag.org/content/360/6394/1232/suppl/DC1 21. N. van Doormaal, H. Ohashi, S. Koike, K. Kaji, Eur. J. Wildl. Res. 45. T. B. Muhly, C. Semeniuk, A. Massolo, L. Hickman, M. Musiani, Materials and Methods http://science.sciencemag.org/ – PLOS ONE 6, e17050 (2011). 61, 517 527 (2015). Figs. S1 to S4 22. J. P. Beckmann, J. Berger, J. Zool. 261, 207–212 (2003). 46. A. Atickem, L. E. Loe, N. C. Stenseth, Ethology 120, 715–725 Tables S1 to S7 23. M. Valeix, G. Hemson, A. J. Loveridge, G. Mills, (2014). References (55–130) D. W. Macdonald, J. Appl. Ecol. 49,73–81 (2012). 47. J. Burger, M. Gochfeld, Condor 93, 259–265 (1991). 24. D. M. Dominoni, J. C. Borniger, R. J. Nelson, Biol. Lett. 12, 48. R. L. Pressey, M. Cabeza, M. E. Watts, R. M. Cowling, 21 December 2017; accepted 7 May 2018 20160015 (2016). K. A. Wilson, Trends Ecol. Evol. 22, 583–592 (2007). 10.1126/science.aar7121

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Gaynor et al., Science 360, 1232–1235 (2018) 15 June 2018 4of4 The influence of human disturbance on wildlife nocturnality Kaitlyn M. Gaynor, Cheryl E. Hojnowski, Neil H. Carter and Justin S. Brashares

Science 360 (6394), 1232-1235. DOI: 10.1126/science.aar7121

Nocturnal refuge As the human population grows, there are fewer places for animals to live out their lives independently of our influence. Given our mostly diurnal tendencies, one domain that remains less affected by humans is the night. Gaynor et al. found that across the globe and across mammalian species−−from deer to coyotes and from to wild boar−− animals are becoming more nocturnal (see the Perspective by Benítez-López). Human activities of all kinds, including nonlethal pastimes such as hiking, seem to drive animals to make use of hours when we are not around. Such changes Downloaded from may provide some relief, but they may also have -level consequences. Science, this issue p. 1232; see also p. 1185 http://science.sciencemag.org/

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