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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.Analysing camera-trap data of 163 mammal species before and after the onset of COVID-19 lockdowns, the authors show that responses to human activity are dependent on the degree to which the landscape is modified by humans, with carnivores being especially sensitive.
Mammal responses to global changes in human activity vary by trophic group and landscape / Burton, A.C., Beirne, C., Gaynor, K.M., Sun, C., Granados, A., Allen, M.L., Alston, J.M., Alvarenga, G.C., Calderón, F.S.Á., Amir, Z., Anhalt-Depies, C., Appel, C., Arroyo-Arce, S., Balme, G., Bar-Massada, A., Barcelos, D., Barr, E., Barthelmess, E.L., Baruzzi, C., Basak, S.M., et al.. - In: NATURE ECOLOGY & EVOLUTION. - ISSN 2397-334X. - ELETTRONICO. - 8:(2024), pp. 924-935. [10.1038/s41559-024-02363-2]
Mammal responses to global changes in human activity vary by trophic group and landscape
Burton, A. Cole;Beirne, Christopher;Gaynor, Kaitlyn M.;Sun, Catherine;Granados, Alys;Allen, Maximilian L.;Alston, Jesse M.;Alvarenga, Guilherme C.;Calderón, Francisco Samuel Álvarez;Amir, Zachary;Anhalt-Depies, Christine;Appel, Cara;Arroyo-Arce, Stephanny;Balme, Guy;Bar-Massada, Avi;Barcelos, Daniele;Barr, Evan;Barthelmess, Erika L.;Baruzzi, Carolina;Basak, Sayantani M.;Beenaerts, Natalie;Belmaker, Jonathan;Belova, Olgirda;Bezarević, Branko;Bird, Tori;Bogan, Daniel A.;Bogdanović, Neda;Boyce, Andy;Boyce, Mark;Brandt, LaRoy;Brodie, Jedediah F.;Brooke, Jarred;Bubnicki, Jakub W.;Cagnacci, Francesca;Carr, Benjamin Scott;Carvalho, João;Casaer, Jim;Černe, Rok;Chen, Ron;Chow, Emily;Churski, Marcin;Cincotta, Connor;Ćirović, Duško;Coates, T. D.;Compton, Justin;Coon, Courtney;Cove, Michael V.;Crupi, Anthony P.;Farra, Simone Dal;Darracq, Andrea K.;Davis, Miranda;Dawe, Kimberly;De Waele, Valerie;Descalzo, Esther;Diserens, Tom A.;Drimaj, Jakub;Duľa, Martin;Ellis-Felege, Susan;Ellison, Caroline;Ertürk, Alper;Fantle-Lepczyk, Jean;Favreau, Jorie;Fennell, Mitch;Ferreras, Pablo;Ferretti, Francesco;Fiderer, Christian;Finnegan, Laura;Fisher, Jason T.;Fisher-Reid, M. Caitlin;Flaherty, Elizabeth A.;Fležar, Urša;Flousek, Jiří;Foca, Jennifer M.;Ford, Adam;Franzetti, Barbara;Frey, Sandra;Fritts, Sarah;Frýbová, Šárka;Furnas, Brett;Gerber, Brian;Geyle, Hayley M.;Giménez, Diego G.;Giordano, Anthony J.;Gomercic, Tomislav;Gompper, Matthew E.;Gräbin, Diogo Maia;Gray, Morgan;Green, Austin;Hagen, Robert;Hagen, Robert;Hammerich, Steven;Hanekom, Catharine;Hansen, Christopher;Hasstedt, Steven;Hebblewhite, Mark;Heurich, Marco;Hofmeester, Tim R.;Hubbard, Tru;Jachowski, David;Jansen, Patrick A.;Jaspers, Kodi Jo;Jensen, Alex;Jordan, Mark;Kaizer, Mariane C.;Kelly, Marcella J.;Kohl, Michel T.;Kramer-Schadt, Stephanie;Krofel, Miha;Krug, Andrea;Kuhn, Kellie M.;Kuijper, Dries P. J.;Kuprewicz, Erin K.;Kusak, Josip;Kutal, Miroslav;Lafferty, Diana J. R.;LaRose, Summer;Lashley, Marcus;Lathrop, Richard;Lee, Thomas E.;Lepczyk, Christopher;Lesmeister, Damon B.;Licoppe, Alain;Linnell, Marco;Loch, Jan;Long, Robert;Lonsinger, Robert C.;Louvrier, Julie;Luskin, Matthew Scott;MacKay, Paula;Maher, Sean;Manet, Benoît;Mann, Gareth K. H.;Marshall, Andrew J.;Mason, David;McDonald, Zara;McKay, Tracy;McShea, William J.;Mechler, Matt;Miaud, Claude;Millspaugh, Joshua J.;Monteza-Moreno, Claudio M.;Moreira-Arce, Dario;Mullen, Kayleigh;Nagy, Christopher;Naidoo, Robin;Namir, Itai;Nelson, Carrie;O'Neill, Brian;O'Mara, M. Teague;Oberosler, Valentina;Osorio, Christian;Ossi, Federico;Palencia, Pablo;Pearson, Kimberly;Pedrotti, Luca;Pekins, Charles E.;Pendergast, Mary;Pinho, Fernando F.;Plhal, Radim;Pocasangre-Orellana, Xochilt;Price, Melissa;Procko, Michael;Proctor, Mike D.;Ramalho, Emiliano Esterci;Ranc, Nathan;Reljic, Slaven;Remine, Katie;Rentz, Michael;Revord, Ronald;Reyna-Hurtado, Rafael;Risch, Derek;Ritchie, Euan G.;Romero, Andrea;Rota, Christopher;Rovero, Francesco;Rowe, Helen;Rutz, Christian;Salvatori, Marco;Sandow, Derek;Schalk, Christopher M.;Scherger, Jenna;Schipper, Jan;Scognamillo, Daniel G.;Şekercioğlu, Çağan H.;Semenzato, Paola;Sevin, Jennifer;Shamon, Hila;Shier, Catherine;Silva-Rodríguez, Eduardo A.;Sindicic, Magda;Smyth, Lucy K.;Soyumert, Anil;Sprague, Tiffany;St. Clair, Colleen Cassady;Stenglein, Jennifer;Stephens, Philip A.;Stępniak, Kinga Magdalena;Stevens, Michael;Stevenson, Cassondra;Ternyik, Bálint;Thomson, Ian;Torres, Rita T.;Tremblay, Joan;Urrutia, Tomas;Vacher, Jean-Pierre;Visscher, Darcy;Webb, Stephen L.;Weber, Julian;Weiss, Katherine C. B.;Whipple, Laura S.;Whittier, Christopher A.;Whittington, Jesse;Wierzbowska, Izabela;Wikelski, Martin;Williamson, Jacque;Wilmers, Christopher C.;Windle, Todd;Wittmer, Heiko U.;Zharikov, Yuri;Zorn, Adam;Kays, Roland
2024
Abstract
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.Analysing camera-trap data of 163 mammal species before and after the onset of COVID-19 lockdowns, the authors show that responses to human activity are dependent on the degree to which the landscape is modified by humans, with carnivores being especially sensitive.
Burton, A. Cole; Beirne, Christopher; Gaynor, Kaitlyn M.; Sun, Catherine; Granados, Alys; Allen, Maximilian L.; Alston, Jesse M.; Alvarenga, Guilherme...espandi
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/1394816
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simulazione ASN
Il report seguente simula gli indicatori relativi alla propria produzione scientifica in relazione alle soglie ASN 2023-2025 del proprio SC/SSD. Si ricorda che il superamento dei valori soglia (almeno 2 su 3) è requisito necessario ma non sufficiente al conseguimento dell'abilitazione. La simulazione si basa sui dati IRIS e sugli indicatori bibliometrici alla data indicata e non tiene conto di eventuali periodi di congedo obbligatorio, che in sede di domanda ASN danno diritto a incrementi percentuali dei valori. La simulazione può differire dall'esito di un’eventuale domanda ASN sia per errori di catalogazione e/o dati mancanti in IRIS, sia per la variabilità dei dati bibliometrici nel tempo. Si consideri che Anvur calcola i valori degli indicatori all'ultima data utile per la presentazione delle domande.
La presente simulazione è stata realizzata sulla base delle specifiche raccolte sul tavolo ER del Focus Group IRIS coordinato dall’Università di Modena e Reggio Emilia e delle regole riportate nel DM 589/2018 e allegata Tabella A. Cineca, l’Università di Modena e Reggio Emilia e il Focus Group IRIS non si assumono alcuna responsabilità in merito all’uso che il diretto interessato o terzi faranno della simulazione. Si specifica inoltre che la simulazione contiene calcoli effettuati con dati e algoritmi di pubblico dominio e deve quindi essere considerata come un mero ausilio al calcolo svolgibile manualmente o con strumenti equivalenti.