Mammal responses to global changes in human activity vary by trophic group and landscape.
Journal
Nature ecology & evolution
ISSN: 2397-334X
Titre abrégé: Nat Ecol Evol
Pays: England
ID NLM: 101698577
Informations de publication
Date de publication:
18 Mar 2024
18 Mar 2024
Historique:
received:
07
03
2023
accepted:
09
02
2024
medline:
19
3
2024
pubmed:
19
3
2024
entrez:
19
3
2024
Statut:
aheadofprint
Résumé
Wildlife must adapt to human presence to survive in the Anthropocene, so it is critical to understand species responses to humans in different contexts. We used camera trapping as a lens to view mammal responses to changes in human activity during the COVID-19 pandemic. Across 163 species sampled in 102 projects around the world, changes in the amount and timing of animal activity varied widely. Under higher human activity, mammals were less active in undeveloped areas but unexpectedly more active in developed areas while exhibiting greater nocturnality. Carnivores were most sensitive, showing the strongest decreases in activity and greatest increases in nocturnality. Wildlife managers must consider how habituation and uneven sensitivity across species may cause fundamental differences in human-wildlife interactions along gradients of human influence.
Identifiants
pubmed: 38499871
doi: 10.1038/s41559-024-02363-2
pii: 10.1038/s41559-024-02363-2
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
© 2024. The Author(s).
Références
Venter, O. et al. Sixteen years of change in the global terrestrial human footprint and implications for biodiversity conservation. Nat. Commun. 7, 12558 (2016).
doi: 10.1038/ncomms12558
pubmed: 27552116
pmcid: 4996975
Suraci, J. P., Clinchy, M., Zanette, L. Y. & Wilmers, C. C. Fear of humans as apex predators has landscape‐scale impacts from mountain lions to mice. Ecol. Lett. 22, 1578–1586 (2019).
doi: 10.1111/ele.13344
pubmed: 31313436
Berger, J. Fear, human shields and the redistribution of prey and predators in protected areas. Biol. Lett. 3, 620–623 (2007).
doi: 10.1098/rsbl.2007.0415
pubmed: 17925272
pmcid: 2391231
McShea, W. J. Ecology and management of white-tailed deer in a changing world. Ann. NY Acad. Sci. 1249, 45–56 (2012).
doi: 10.1111/j.1749-6632.2011.06376.x
pubmed: 22268688
Suraci, J. P. et al. Disturbance type and species life history predict mammal responses to humans. Glob. Change Biol. 27, 3718–3731 (2021).
doi: 10.1111/gcb.15650
Pacifici, M. et al. Global correlates of range contractions and expansions in terrestrial mammals. Nat. Commun. 11, 2840 (2020).
doi: 10.1038/s41467-020-16684-w
pubmed: 32504033
pmcid: 7275054
Ripple, W. J. et al. Status and ecological effects of the world’s largest carnivores. Science 343, 1241484 (2014).
doi: 10.1126/science.1241484
pubmed: 24408439
Kays, R. et al. Does hunting or hiking affect wildlife communities in protected areas? J. Appl. Ecol. 54, 242–252 (2017).
doi: 10.1111/1365-2664.12700
Reilly, C. M., Suraci, J. P., Smith, J. A., Wang, Y. & Wilmers, C. C. Mesopredators retain their fear of humans across a development gradient. Behav. Ecol. 33, 428–435 (2022).
doi: 10.1093/beheco/arab150
Bates, A. E., Primack, R. B., Moraga, P. & Duarte, C. M. COVID-19 pandemic and associated lockdown as a ‘Global Human Confinement Experiment’ to investigate biodiversity conservation. Biol. Conserv. 248, 108665 (2020).
doi: 10.1016/j.biocon.2020.108665
pubmed: 32549587
pmcid: 7284281
Rutz, C. et al. COVID-19 lockdown allows researchers to quantify the effects of human activity on wildlife. Nat. Ecol. Evol. 4, 1156–1159 (2020).
doi: 10.1038/s41559-020-1237-z
pubmed: 32572222
Basile, M., Russo, L. F., Russo, V. G., Senese, A. & Bernardo, N. Birds seen and not seen during the COVID-19 pandemic: the impact of lockdown measures on citizen science bird observations. Biol. Conserv. 256, 109079 (2021).
doi: 10.1016/j.biocon.2021.109079
pubmed: 34580546
pmcid: 8457629
Bates, A. E. et al. Global COVID-19 lockdown highlights humans as both threats and custodians of the environment. Biol. Conserv. 263, 109175 (2021).
doi: 10.1016/j.biocon.2021.109175
pubmed: 34035536
pmcid: 8135229
Hale, T. et al. A global panel database of pandemic policies (Oxford COVID-19 Government Response Tracker). Nat. Hum. Behav. 5, 529–538 (2021).
doi: 10.1038/s41562-021-01079-8
pubmed: 33686204
Procko, M., Naidoo, R., LeMay, V. & Burton, A. C. Human impacts on mammals in and around a protected area before, during and after COVID-19 lockdowns. Conserv. Sci. Pract. 4, e12743 (2022).
doi: 10.1111/csp2.12743
pubmed: 35935172
pmcid: 9347595
Burton, A. C. et al. Wildlife camera trapping: a review and recommendations for linking surveys to ecological processes. J. Appl. Ecol. 52, 675–685 (2015).
doi: 10.1111/1365-2664.12432
Chen, C. et al. Global camera trap synthesis highlights the importance of protected areas in maintaining mammal diversity. Conserv. Lett. 15, e12865 (2022).
doi: 10.1111/conl.12865
Naidoo, R. & Burton, A. C. Relative effects of recreational activities on a temperate terrestrial wildlife assemblage. Conserv. Sci. Pract. 2, e271 (2020).
doi: 10.1111/csp2.271
Betts, M. G. et al. Extinction filters mediate the global effects of habitat fragmentation on animals. Science 366, 1236–1239 (2019).
doi: 10.1126/science.aax9387
pubmed: 31806811
Lowry, H., Lill, A. & Wong, B. B. M. Behavioural responses of wildlife to urban environments. Biol. Rev. 88, 537–549 (2013).
doi: 10.1111/brv.12012
pubmed: 23279382
Klees van Bommel, J., Badry, M., Ford, A. T., Golumbia, T. & Burton, A. C. Predicting human–carnivore conflict at the urban–wildland interface. Glob. Ecol. Conserv. 24, e01322 (2020).
Gaynor, K. M., Brown, J. S., Middleton, A. D., Power, M. E. & Brashares, J. S. Landscapes of fear: spatial patterns of risk perception and response. Trends Ecol. Evol. 34, 355–368 (2019).
doi: 10.1016/j.tree.2019.01.004
pubmed: 30745252
González-Lagos, C., Sol, D. & Reader, S. M. Large-brained mammals live longer. J. Evol. Biol. 23, 1064–1074 (2010).
doi: 10.1111/j.1420-9101.2010.01976.x
pubmed: 20345813
Gaynor, K. M., Hojnowski, C. E., Carter, N. H. & Brashares, J. S. The influence of human disturbance on wildlife nocturnality. Science 360, 1232 (2018).
doi: 10.1126/science.aar7121
pubmed: 29903973
Carter, N. H., Shrestha, B. K., Karki, J. B., Pradhan, N. M. B. & Liu, J. Coexistence between wildlife and humans at fine spatial scales. Proc. Natl Acad. Sci. USA 109, 15360–15365 (2012).
doi: 10.1073/pnas.1210490109
pubmed: 22949642
pmcid: 3458348
Packer, C. et al. Conserving large carnivores: dollars and fence. Ecol. Lett. 16, 635–641 (2013).
doi: 10.1111/ele.12091
pubmed: 23461543
Tucker, M. A. et al. Behavioral responses of terrestrial mammals to COVID-19 lockdowns. Science 380, 1059–1064 (2023).
doi: 10.1126/science.abo6499
pubmed: 37289888
Lamb, C. T. et al. The ecology of human–carnivore coexistence. Proc. Natl Acad. Sci. USA 117, 17876 (2020).
doi: 10.1073/pnas.1922097117
pubmed: 32632004
pmcid: 7395549
Ripple, W. J. et al., Bushmeat hunting and extinction risk to the world’s mammals. R. Soc. Open Sci. 3, 160498 (2016).
Soulé, M. E., Estes, J. A., Berger, J. & Del Rio, C. M. Ecological effectiveness: conservation goals for interactive species. Conserv. Biol. 17, 1238–1250 (2003).
doi: 10.1046/j.1523-1739.2003.01599.x
Estes, J. A. et al. Trophic downgrading of planet earth. Science 333, 301–306 (2011).
doi: 10.1126/science.1205106
pubmed: 21764740
Raynor, J. L., Grainger, C. A. & Parker, D. P. Wolves make roadways safer, generating large economic returns to predator conservation. Proc. Natl Acad. Sci. USA 118, e2023251118 (2021).
doi: 10.1073/pnas.2023251118
pubmed: 34031245
pmcid: 8179214
Rutz, C. Studying pauses and pulses in human mobility and their environmental impacts. Nat. Rev. Earth Environ. 3, 157–159 (2022).
doi: 10.1038/s43017-022-00276-x
Ward, M. et al. Impact of 2019–2020 mega-fires on Australian fauna habitat. Nat. Ecol. Evol. 4, 1321–1326 (2020).
doi: 10.1038/s41559-020-1251-1
pubmed: 32690905
Schrimpf, M. B. et al. Reduced human activity during COVID-19 alters avian land use across North America. Sci. Adv. 7, eabf5073 (2021).
doi: 10.1126/sciadv.abf5073
pubmed: 34550735
pmcid: 10763905
Lindsey, P. et al. Conserving Africa’s wildlife and wildlands through the COVID-19 crisis and beyond. Nat. Ecol. Evol. 4, 1300–1310 (2020).
doi: 10.1038/s41559-020-1275-6
pubmed: 32728187
Kays, R. et al. SNAPSHOT USA 2020: a second coordinated national camera trap survey of the United States during the COVID-19 pandemic. Ecology 103, e3775 (2022).
doi: 10.1002/ecy.3775
pubmed: 35661139
Ahumada, J. A. et al. Wildlife Insights: a platform to maximize the potential of camera trap and other passive sensor wildlife data for the planet. Environ. Conserv. 47, 1–6 (2019).
doi: 10.1017/S0376892919000298
Díaz, S. et al. Pervasive human-driven decline of life on Earth points to the need for transformative change. Science 366, eaax3100 (2019).
doi: 10.1126/science.aax3100
pubmed: 31831642
Soria, C. D., Pacifici, M., Di Marco, M., Stephen, S. M. & Rondinini, C. COMBINE: a coalesced mammal database of intrinsic and extrinsic traits. Ecology 102, e03344 (2021).
doi: 10.1002/ecy.3344
pubmed: 33742448
R Core Team. R: A Language and Environment for Statistical Computing (R Foundation for Statistical Computing, 2022).
Brooks, M. E. et al. glmmTMB balances speed and flexibility among packages for zero-inflated generalized linear mixed modeling. R J. 9, 378–400 (2017).
doi: 10.32614/RJ-2017-066
Teucher A., lutz: Look up time zones of point coordinates. R package version 0.3.1 (2019).
Kelley D., Richards C., oce: Analysis of oceanographic data. R package version 1.7-10 (2022).
Viechtbauer, W. Conducting meta-analyses in R with the metafor package. J. Stat. Softw. 36, 1–48 (2010).
doi: 10.18637/jss.v036.i03
Purvis, A., Gittleman, J. L., Cowlishaw, G. & Mace, G. M. Predicting extinction risk in declining species. Proc. R. Soc. Lond. B 267, 1947–1952 (2000).
doi: 10.1098/rspb.2000.1234
Chichorro, F., Juslén, A. & Cardoso, P. A review of the relation between species traits and extinction risk. Biol. Conserv. 237, 220–229 (2019).
doi: 10.1016/j.biocon.2019.07.001
Benson-Amram, S., Dantzer, B., Stricker, G., Swanson, E. M. & Holekamp, K. E. Brain size predicts problem-solving ability in mammalian carnivores. Proc. Natl Acad. Sci. USA 113, 2532–2537 (2016).
doi: 10.1073/pnas.1505913113
pubmed: 26811470
pmcid: 4780594
Wilman, H. et al. EltonTraits 1.0: species-level foraging attributes of the world’s birds and mammals. Ecology 95, 2027 (2014).
doi: 10.1890/13-1917.1
Jones, K. E. et al. PanTHERIA: a species-level database of life history, ecology and geography of extant and recently extinct mammals. Ecology 90, 2648 (2009).
doi: 10.1890/08-1494.1
Stankowich, T. Ungulate flight responses to human disturbance: a review and meta-analysis. Biol. Conserv. 141, 2159–2173 (2008).
doi: 10.1016/j.biocon.2008.06.026
Buchhorn, M. et al. Copernicus global land cover layers—Collection 2. Remote Sens. 12, 1044 (2020).
Kennedy, C. M., Oakleaf, J. R., Theobald, D. M., Baruch-Mordo, S. & Kiesecker, J. Managing the middle: a shift in conservation priorities based on the global human modification gradient. Glob. Change Biol. 25, 811–826 (2019).
doi: 10.1111/gcb.14549
Gridded Population of the World, Version 4 (GPWv4): Population Density (CIESIN, 2016).
Meijer, J. R., Huijbregts, M. A., Schotten, K. C. & Schipper, A. M. Global patterns of current and future road infrastructure. Environ. Res. Lett. 13, 064006 (2018).
doi: 10.1088/1748-9326/aabd42
Bartoń, K. MUMIn: Multi-model inference. R package version 1.47.1 (2022).
Higgins, J. P. & Thompson, S. G. Quantifying heterogeneity in a meta‐analysis. Stat. Med. 21, 1539–1558 (2002).
doi: 10.1002/sim.1186
pubmed: 12111919