30 results on '"Baruzzi, C."'
Search Results
2. Fire season and canopy cover interact to affect reproduction of a pyrogenic bunchgrass, Aristida beyrichiana
- Author
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Baruzzi, C., Medina-Irizarry, N., Armstrong, M. N., and Crandall, R. M.
- Published
- 2022
- Full Text
- View/download PDF
3. Scavenger and herbivore functional role impairment modulates changes in plant communities following mass mortality events
- Author
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Baruzzi, C., primary, Barton, B. T., additional, Cove, M. V., additional, Strickland, B. K., additional, and Lashley, M. A., additional
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- 2023
- Full Text
- View/download PDF
4. <scp>SNAPSHOT USA</scp> 2020: A second coordinated national camera trap survey of the United States during the <scp>COVID</scp> ‐19 pandemic
- Author
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Kays R., Cove M. V., Diaz J., Todd K., Bresnan C., Snider M., Lee T. E., Jasper J. G., Douglas B., Crupi A. P., Weiss K. C. B., Rowe H., Sprague T., Schipper J., Lepczyk C. A., Fantle-Lepczyk J. E., Davenport J., Zimova M., Farris Z., Williamson J., Fisher-Reid M. C., Rezendes D., King S. M., Chrysafis P., Jensen A. J., Jachowski D. S., King K. C., Herrera D. J., Moore S., van der Merwe M., Lombardi J. V., Sergeyev M., Tewes M. E., Horan R. V., Rentz M. S., Driver A., Brandt L. R. S. E., Nagy C., Alexander P., Maher S. P., Darracq A. K., Barr E. G., Hess G., Webb S. L., Proctor M. D., Vanek J. P., Lafferty D. J. R., Hubbard T., Jimenez J. E., McCain C., Favreau J., Fogarty J., Hill J., Hammerich S., Gray M., Rega-Brodsky C. C., Durbin C., Flaherty E. A., Brooke J., Coster S. S., Lathrop R. G., Russell K., Bogan D. A., Shamon H., Rooney B., Rockhill A., Lonsinger R. C., O'Mara M. T., Compton J. A., Barthelmess E. L., Andy K. E., Belant J. L., Petroelje T., Wehr N. H., Beyer D. E., Scognamillo D. G., Schalk C., Day K., Ellison C. N., Ruthven C., Nunley B., Fritts S., Whittier C. A., Neiswenter S. A., Pelletier R., DeGregorio B. A., Kuprewicz E. K., Davis M. L., Baruzzi C., Lashley M. A., McDonald B., Mason D., Risch D. R., Allen M. L., Whipple L. S., Sperry J. H., Alexander E., Wolff P. J., Hagen R. H., Mortelliti A., Bolinjcar A., Wilson A. M., Van Norman S., Powell C., Coletto H., Schauss M., Bontrager H., Beasley J., Ellis-Felege S. N., Wehr S. R., Giery S. T., Pekins C. E., LaRose S. H., Revord R. S., Hansen C. P., Hansen L., Millspaugh J. J., Zorn A., Gerber B. D., Rezendes K., Adley J., Sevin J., Green A. M., Sekercioglu C. H., Pendergast M. E., Mullen K., Bird T., Edelman A. J., Romero A., O'Neill B. J., Schmitz N., Vandermus R. A., Alston J. M., Kuhn K. M., Hasstedt S. C., Lesmeister D. B., Appel C. L., Rota C., Stenglein J. L., Anhalt-Depies C., Nelson C. L., Long R. A., Remine K. R., Jordan M. J., Elbroch L. M., Bergman D., Cendejas-Zarelli S., Sager-Fradkin K., Conner M., Morris G., Parsons E., Hernandez-Yanez H., McShea W. J., Kays, R., Cove, M. V., Diaz, J., Todd, K., Bresnan, C., Snider, M., Lee, T. E., Jasper, J. G., Douglas, B., Crupi, A. P., Weiss, K. C. B., Rowe, H., Sprague, T., Schipper, J., Lepczyk, C. A., Fantle-Lepczyk, J. E., Davenport, J., Zimova, M., Farris, Z., Williamson, J., Fisher-Reid, M. C., Rezendes, D., King, S. M., Chrysafis, P., Jensen, A. J., Jachowski, D. S., King, K. C., Herrera, D. J., Moore, S., van der Merwe, M., Lombardi, J. V., Sergeyev, M., Tewes, M. E., Horan, R. V., Rentz, M. S., Driver, A., Brandt, L. R. S. E., Nagy, C., Alexander, P., Maher, S. P., Darracq, A. K., Barr, E. G., Hess, G., Webb, S. L., Proctor, M. D., Vanek, J. P., Lafferty, D. J. R., Hubbard, T., Jimenez, J. E., Mccain, C., Favreau, J., Fogarty, J., Hill, J., Hammerich, S., Gray, M., Rega-Brodsky, C. C., Durbin, C., Flaherty, E. A., Brooke, J., Coster, S. S., Lathrop, R. G., Russell, K., Bogan, D. A., Shamon, H., Rooney, B., Rockhill, A., Lonsinger, R. C., O'Mara, M. T., Compton, J. A., Barthelmess, E. L., Andy, K. E., Belant, J. L., Petroelje, T., Wehr, N. H., Beyer, D. E., Scognamillo, D. G., Schalk, C., Day, K., Ellison, C. N., Ruthven, C., Nunley, B., Fritts, S., Whittier, C. A., Neiswenter, S. A., Pelletier, R., Degregorio, B. A., Kuprewicz, E. K., Davis, M. L., Baruzzi, C., Lashley, M. A., Mcdonald, B., Mason, D., Risch, D. R., Allen, M. L., Whipple, L. S., Sperry, J. H., Alexander, E., Wolff, P. J., Hagen, R. H., Mortelliti, A., Bolinjcar, A., Wilson, A. M., Van Norman, S., Powell, C., Coletto, H., Schauss, M., Bontrager, H., Beasley, J., Ellis-Felege, S. N., Wehr, S. R., Giery, S. T., Pekins, C. E., Larose, S. H., Revord, R. S., Hansen, C. P., Hansen, L., Millspaugh, J. J., Zorn, A., Gerber, B. D., Rezendes, K., Adley, J., Sevin, J., Green, A. M., Sekercioglu, C. H., Pendergast, M. E., Mullen, K., Bird, T., Edelman, A. J., Romero, A., O'Neill, B. J., Schmitz, N., Vandermus, R. A., Alston, J. M., Kuhn, K. M., Hasstedt, S. C., Lesmeister, D. B., Appel, C. L., Rota, C., Stenglein, J. L., Anhalt-Depies, C., Nelson, C. L., Long, R. A., Remine, K. R., Jordan, M. J., Elbroch, L. M., Bergman, D., Cendejas-Zarelli, S., Sager-Fradkin, K., Conner, M., Morris, G., Parsons, E., Hernandez-Yanez, H., and Mcshea, W. J.
- Subjects
United State ,Carnivora ,Wild ,mammal ,Animals, Wild ,Didelphimorphia ,species distribution modeling ,Birds ,Bird ,camera traps ,biodiversity ,biogeography ,Cetartiodactyla ,Lagomorpha ,mammals ,occupancy modeling ,Animals ,Humans ,Mammals ,Pandemics ,United States ,COVID-19 ,Ecology, Evolution, Behavior and Systematics ,Pandemic ,camera trap ,Animal ,Human - Abstract
Managing wildlife populations in the face of global change requires regular data on the abundance and distribution of wild animals, but acquiring these over appropriate spatial scales in a sustainable way has proven challenging. Here we present the data from Snapshot USA 2020, a second annual national mammal survey of the USA. This project involved 152 scientists setting camera traps in a standardized protocol at 1485 locations across 103 arrays in 43 states for a total of 52,710 trap-nights of survey effort. Most (58) of these arrays were also sampled during the same months (September and October) in 2019, providing a direct comparison of animal populations in 2 years that includes data from both during and before the COVID-19 pandemic. All data were managed by the eMammal system, with all species identifications checked by at least two reviewers. In total, we recorded 117,415 detections of 78 species of wild mammals, 9236 detections of at least 43 species of birds, 15,851 detections of six domestic animals and 23,825 detections of humans or their vehicles. Spatial differences across arrays explained more variation in the relative abundance than temporal variation across years for all 38 species modeled, although there are examples of significant site-level differences among years for many species. Temporal results show how species allocate their time and can be used to study species interactions, including between humans and wildlife. These data provide a snapshot of the mammal community of the USA for 2020 and will be useful for exploring the drivers of spatial and temporal changes in relative abundance and distribution, and the impacts of species interactions on daily activity patterns. There are no copyright restrictions, and please cite this paper when using these data, or a subset of these data, for publication.
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- 2022
5. Exposure to prenatal stress and long-lasting effect on microbiome composition and functionality in the offspring: implications for behavioural outcomes
- Author
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De Cillis, F., primary, Petrillo, G., additional, Marizzoni, M., additional, Mazzelli, M., additional, Zonca, V., additional, Plantamura, S., additional, Baruzzi, C., additional, Riva, M.A., additional, and Cattaneo, A., additional
- Published
- 2023
- Full Text
- View/download PDF
6. Mass mortality events and declining obligate scavengers in the Anthropocene: Social feeders may be critical
- Author
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Baruzzi, C., primary, Barton, B.T., additional, Cove, M.V., additional, and Lashley, M.A., additional
- Published
- 2022
- Full Text
- View/download PDF
7. Fire season and canopy cover interact to affect reproduction of a pyrogenic bunchgrass, Aristida beyrichiana
- Author
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Baruzzi, C., primary, Medina-Irizarry, N., additional, Armstrong, M. N., additional, and Crandall, R. M., additional
- Published
- 2021
- Full Text
- View/download PDF
8. Effects of weather on the social behavior of the Apennine chamois
- Author
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Niccolò Fattorini, Brunetti, C., Baruzzi, C., Pagliarella, M. C., Sandro LOVARI, and Francesco Ferretti
- Published
- 2019
9. Invited cleaners or unsolicited visitors: Eastern phoebes use white-tailed deer to forage
- Author
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Baruzzi, C., primary, Chance, D.P., additional, McCollum, J.R., additional, Street, G.M., additional, Brookshire, C., additional, and Lashley, M.A., additional
- Published
- 2017
- Full Text
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10. Rationale, study design, and analysis plan of the Alveolar Recruitment for ARDS Trial (ART): study protocol for a randomized controlled trial
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Cavalcanti, AB, Berwanger, O, Suzumura, ÉA, Amato, MB, Tallo, FS, Rezende, AC, Telles, MM, Romano, E, Guimarães, HP, Regenga, MM, Takahashi, LN, Oliveira, RP, Carvalho, VO, Díaz Quijano, FA, Carvalho, CR, Kodama, AA, Ribeiro, GF, Abreu, MO, Oliveira, IM, Guyatt, G, Ferguson, N, Walter, S, Vasconcelos, MO, Segundo, VJ, Ferraz, ÍL, Silva, RS, de Oliveira Filho, W, Silva, NB, Heirel, C, Takatani, RR, Neto, JA, Neto, JC, Almeida, SD, Chamy, G, Neto, GJ, Dias, AP, Silva, RR, Tavares, RC, Souza, ML, Decio, JC, Lima, CM, Neto, FF, Oliveira, KR, Dias, PP, Brandão, AL, Ramos, JE Jr, Vasconcelos, PT, Flôres, DG, Filho, GR, Andrade, IG, Martinez, A, França, GG, Monteiro, LL, Correia, EI, Ribeiro, W, Pereira, AJ, Andrade, W, Leite, PA, Feto, JE, Holanda, MA, Amorim, FF, Margalho, SB, Domingues, SM Jr, Ferreira, CS, Ferreira, CM, Rabelo, LA, Duarte, JN, Lima, FB, Kawaguchi, IA, Maia, MO, Correa, FG, Ribeiro, RA, Caser, E, Moreira, CL, Marcilino, A, Falcão, JG, Jesus, KR, Tcherniakovisk, L, Dutra, VG, Thompson, MM, Piras, C, Giuberti, J. Jr, Silva, AS, Santos, JR, Potratz, JL, Paula, LN, Bozi, GG, Gomes, BC, Vassallo, PF, Rocha, E, Lima, MH, Ferreira, A. F, Gonçalves, F, Pereira, SA, Nobrega, MS, Caixeta, CR, Moraes, AP, Carvalho, AG, Alves, JD, Carvalho, FB, Moreira, FB, Starling, CM, Couto, WA, Bitencourt, WS, Silva, SG, Felizardo, LR, Nascimento, FJ, Santos, D, Zanta, CC, Martins, MF, Naves, SA, Silva, FD, Laube, G. Jr, Galvão, EL, Sousa, MF, Souza, MM, Carvalho, FL, Bergo, RR, Rezende, CM, Tamazato, EY, Sarat, SC Jr, Almeida, PS, Gorski, AG, Matsui, M, Neto, EE, Nomoto, SH, Lima, ZB, Inagaki, AS, Gil, FS, Araújo, MF, Oliveira, AE, Correa, TA, Mendonça, A, Reis, H, Carneiro, SR, Rego, LR, Cunha, AF, Barra, WF, Carneiro, M, Batista, RA, Zoghbi, KK, Machado, NJ, Ferreira, R, Apoena, P, Leão, RM, Martins, ER, Oliveira, ME, Odir, I, Kleber, W, Tavares, D, Araújo, ME, Brilhante, YN, Tavares, DC, Carvalho, WL, Winveler, GF, Filho, AC, Cavalcanti, RA, Grion, CM, Reis, AT, Festti, J, Gimenez, FM, Larangeira, AS, Cardoso, LT, Mezzaroba, TS, Kauss, IA, Duarte, PA, Tozo, TC, Peliser, P, Germano, A, Gurgel, SJ, Silva, SR, Kuroda, CM, Herek, A, Yamada, SS, Schiavetto, PM, Wysocki, N, Matsubara, RR, Sales, JA Jr, Laprovita, MP, Pena, FM, Sá, A, Vianna, A, Verdeal, JC, Martins, GA, Salgado, DR, Coelho, AM, Coelho, M, Morong, AS, Poquiriqui, RM, Ferreira, AP, Lucena, DN, Marino, NF, Moreira, MA, Uratani, CC, Severino, MA, Silva, PN, Medeiros, LG, Filho, FG, Guimarães, DM, Rezende, VM, Carbonell, RC, Trindade, RS, Pellegrini, JA, Boniatti, MM, Santos, MC, Boldo, R, Oliveira, VM, Corrêa, VM, Nedel, W, Teixeira, C, Schaich, F, Tagliari, L, Savi, A, Schulz, LF, Maccari, JG, Seeger, GM, Foernges, RB, Rieder, MM, Becker, DA, Broilo, FP, Schwarz, P, Alencastro, A, Berto, P, Backes, F, Dias, FS, Blattner, C, Martins, ET, Scaglia, NC, Vieira, SR, Prado, KF, Fialkow, L, Franke, C, Vieira, DF, Moraes, RB, Marques, LS, Hopf, JL, Wawrzeniak, IC, Rech, TH, Albuquerque, RB, Guerreiro, MO, Teixeira, LO, Macedo, PL, Bainy, MP, Ferreira, EV, Martins, MA, Andrade, LA, Machado, FO, Burigo, AC, Pincelli, M, Kretzer, L, Maia, IS, Cordeiro, RB, Westphal, G, Cramer, AS, Dadam, MM, Barbosa, PO, Caldeira, M, Brilenger, CO, Horner, MB, Oliveira, GL, Germiniani, BC, Duarte, R, Assef, MG, Rosso, D, Bigolin, R, Vanzuita, R, Prado, LF, Oliveira, V, Reis, DL, Morais, MO, Bastos, RS, Santana, HS, Silva, AO, Cacau, LA, Almeida, MS, Canavessi, HS, Nogueira, EE, Pavia, CL, Araujo, JF, Lira, JA, Nienstedt, EC, Smith, TC, Romano, M, Barros D, Costa, AF, Takahashi, L, Werneck, V, Farran, J, Henriques, LA, Miura, C, Lopes, RD, Vendrame, LS, Sandri, P, Galassi, MS, Amato, P, Toufen, C. Jr, Santiago, RR, Hirota, AS, Park, M, Azevedo, LC, Malbouison, LM, Costa, MC, Taniguchi, L, Pompílio, CE, Baruzzi, C, Andrade, AH, Taira, EE, Taino, B, Oliveira, CS, Silva, AC, Ísola, A, Rezende, E, Rodrigues, RG, Rangel, VP, Luzzi, S, Giacomassi, IW, Nassar, AP Jr, Souza, AR, Rahal, L, Nunes, AL, Giannini, F, Menescal, B, Morais, JE, Toledo, D, Morsch, RD, Merluzzi, T, Amorim, DS, Bastos, AC, Santos, PL, Silva, SF, Gallego, RC, Santos, GD, Tucci, M, Costa, RT, Santos, LS, Demarzo, SE, Schettino, GP, Suzuki, VC, Patrocinio, AC, Martins, ML, Passos, DB, Cappi, SB, Gonçalves, I. Jr, Borges, MC, Lovato, W, Tavares, MV, Morales, D, Machado, LA, Torres, FC, Gomes, TM, Cerantola, RB, Góis, A, Marraccini, T, Margarida, K, Cavalcante, E, Machado, FR, Mazza, BF, Santana, HB, Mendez, VM, Xavier, PA, Rabelo, MV, Schievano, FR, Pinto, WA, Francisco, RS, Ferreira, EM, Silva, DC, Arduini, RG, Aldrighi, JR, Amaro, AF, Conde, KA, Pereira, CA, Tarkieltaub, E, Oliver, WR, Guadalupe, EG, Acerbi, PS, Tomizuka, CI, Oliveira, TA, Geha, NN, Mecatti, GC, Piovesan, MZ, Salomão, MC, Moreno, MS, Orsatti, VN, Miranda, W, Ray, A, Guerra, A, Filho, ML, Ferreira, FH Jr, Filho, EV, Canzi, RA, Giuberti, AF, Garcez, MC, Sala, AD, Suguitani, EO, Kazue, P, Oliveira, LR, Infantini, RM, Carvalho, FR, Andrade, LC, Santos, TM, Carmona, CV, Figueiredo, LC, Falcão, A, Dragosavak, D, Filho, WN, Lunardi, MC, Lago, R, Gatti, C, Chiasso, TM, Santos, GO, Araujo, AC, Ornellas, IB, Vieira, VM, Hajjar, LA, Figueiredo, AC, Damasceno, B, Hinestrosa, A, Diaz Quijano, FA, CORTEGIANI, Andrea, RAINERI, Santi Maurizio, Cavalcanti, AB, Berwanger, O, Suzumura, ÉA, Amato, MB, Tallo, FS, Rezende, AC, Telles, MM, Romano, E, Guimarães, HP, Regenga, MM, Takahashi, LN, Oliveira, RP, Carvalho, VO, Díaz-Quijano, FA, Carvalho, CR, Kodama, AA, Ribeiro, GF, Abreu, MO, Oliveira, IM, Guyatt, G, Ferguson, N, Walter, S, Vasconcelos, MO, Segundo, VJ, Ferraz, ÍL, Silva, RS, de Oliveira Filho, W, Silva, NB, Heirel, C, Takatani, RR, Neto, JA, Neto, JC, Almeida, SD, Chamy, G, Neto, GJ, Dias, AP, Silva, RR, Tavares, RC, Souza, ML, Decio, JC, Lima, CM, Neto, FF, Oliveira, KR, Dias, PP, Brandão, AL, Ramos, JE Jr, Vasconcelos, PT, Flôres, DG, Filho, GR, Andrade, IG, Martinez, A, França, GG, Monteiro, LL, Correia, EI, Ribeiro, W, Pereira, AJ, Andrade, W, Leite, PA, Feto, JE, Holanda, MA, Amorim, FF, Margalho, SB, Domingues, SM Jr, Ferreira, CS, Ferreira, CM, Rabelo, LA, Duarte, JN, Lima, FB, Kawaguchi, IA, Maia, MO, Correa, FG, Ribeiro, RA, Caser, E, Moreira, CL, Marcilino, A, Falcão, JG, Jesus, KR, Tcherniakovisk, L, Dutra, VG, Thompson, MM, Piras, C, Giuberti, J Jr, Silva, AS, Santos, JR, Potratz, JL, Paula, LN, Bozi, GG, Gomes, BC, Vassallo, PF, Rocha, E, Lima, MH, Ferreira, A F, Gonçalves, F, Pereira, SA, Nobrega, MS, Caixeta, CR, Moraes, AP, Carvalho, AG, Alves, JD, Carvalho, FB, Moreira, FB, Starling, CM, Couto, WA, Bitencourt, WS, Silva, SG, Felizardo, LR, Nascimento, FJ, Santos, D, Zanta, CC, Martins, MF, Naves, SA, Silva, FD, Laube, G Jr, Galvão, EL, Sousa, MF, Souza, MM, Carvalho, FL, Bergo, RR, Rezende, CM, Tamazato, EY, Sarat, SC Jr, Almeida, PS, Gorski, AG, Matsui, M, Neto, EE, Nomoto, SH, Lima, ZB, Inagaki, AS, Gil, FS, Araújo, MF, Oliveira, AE, Correa, TA, Mendonça, A, Reis, H, Carneiro, SR, Rego, LR, Cunha, AF, Barra, WF, Carneiro, M, Batista, RA, Zoghbi, KK, Machado, NJ, Ferreira, R, Apoena, P, Leão, RM, Martins, ER, Oliveira, ME, Odir, I, Kleber, W, Tavares, D, Araújo, ME, Brilhante, YN, Tavares, DC, Carvalho, WL, Winveler, GF, Filho, AC, Cavalcanti, RA, Grion, CM, Reis, AT, Festti, J, Gimenez, FM, Larangeira, AS, Cardoso, LT, Mezzaroba, TS, Kauss, IA, Duarte, PA, Tozo, TC, Peliser, P, Germano, A, Gurgel, SJ, Silva, SR, Kuroda, CM, Herek, A, Yamada, SS, Schiavetto, PM, Wysocki, N, Matsubara, RR, Sales, JA Jr, Laprovita, MP, Pena, FM, Sá, A, Vianna, A, Verdeal, JC, Martins, GA, Salgado, DR, Coelho, AM, Coelho, M, Morong, AS, Poquiriqui, RM, Ferreira, AP, Lucena, DN, Marino, NF, Moreira, MA, Uratani, CC, Severino, MA, Silva, PN, Medeiros, LG, Filho, FG, Guimarães, DM, Rezende, VM, Carbonell, RC, Trindade, RS, Pellegrini, JA, Boniatti, MM, Santos, MC, Boldo, R, Oliveira, VM, Corrêa, VM, Nedel, W, Teixeira, C, Schaich, F, Tagliari, L, Savi, A, Schulz, LF, Maccari, JG, Seeger, GM, Foernges, RB, Rieder, MM, Becker, DA, Broilo, FP, Schwarz, P, Alencastro, A, Berto, P, Backes, F, Dias, FS, Blattner, C, Martins, ET, Scaglia, NC, Vieira, SR, Prado, KF, Fialkow, L, Franke, C, Vieira, DF, Moraes, RB, Marques, LS, Hopf, JL, Wawrzeniak, IC, Rech, TH, Albuquerque, RB, Guerreiro, MO, Teixeira, LO, Macedo, PL, Bainy, MP, Ferreira, EV, Martins, MA, Andrade, LA, Machado, FO, Burigo, AC, Pincelli, M, Kretzer, L, Maia, IS, Cordeiro, RB, Westphal, G, Cramer, AS, Dadam, MM, Barbosa, PO, Caldeira, M, Brilenger, CO, Horner, MB, Oliveira, GL, Germiniani, BC, Duarte, R, Assef, MG, Rosso, D, Bigolin, R, Vanzuita, R, Prado, LF, Oliveira, V, Reis, DL, Morais, MO, Bastos, RS, Santana, HS, Silva, AO, Cacau, LA, Almeida, MS, Canavessi, HS, Nogueira, EE, Pavia, CL, Araujo, JF, Lira, JA, Nienstedt, EC, Smith, TC, Romano, M, Barros D, Costa, AF, Takahashi, L, Werneck, V, Farran, J, Henriques, LA, Miura, C, Lopes, RD, Vendrame, LS, Sandri, P, Galassi, MS, Amato, P, Toufen, C Jr, Santiago, RR, Hirota, AS, Park, M, Azevedo, LC, Malbouison, LM, Costa, MC, Taniguchi, L, Pompílio, CE, Baruzzi, C, Andrade, AH, Taira, EE, Taino, B, Oliveira, CS, Silva, AC, Ísola, A, Rezende, E, Rodrigues, RG, Rangel, VP, Luzzi, S, Giacomassi, IW, Nassar, AP Jr, Souza, AR, Rahal, L, Nunes, AL, Giannini, F, Menescal, B, Morais, JE, Toledo, D, Morsch, RD, Merluzzi, T, Amorim, DS, Bastos, AC, Santos, PL, Silva, SF, Gallego, RC, Santos, GD, Tucci, M, Costa, RT, Santos, LS, Demarzo, SE, Schettino, GP, Suzuki, VC, Patrocinio, AC, Martins, ML, Passos, DB, Cappi, SB, Gonçalves, I Jr, Borges, MC, Lovato, W, Tavares, MV, Morales, D, Machado, LA, Torres, FC, Gomes, TM, Cerantola, RB, Góis, A, Marraccini, T, Margarida, K, Cavalcante, E, Machado, FR, Mazza, BF, Santana, HB, Mendez, VM, Xavier, PA, Rabelo, MV, Schievano, FR, Pinto, WA, Francisco, RS, Ferreira, EM, Silva, DC, Arduini, RG, Aldrighi, JR, Amaro, AF, Conde, KA, Pereira, CA, Tarkieltaub, E, Oliver, WR, Guadalupe, EG, Acerbi, PS, Tomizuka, CI, Oliveira, TA, Geha, NN, Mecatti, GC, Piovesan, MZ, Salomão, MC, Moreno, MS, Orsatti, VN, Miranda, W, Ray, A, Guerra, A, Filho, ML, Ferreira, FH Jr, Filho, EV, Canzi, RA, Giuberti, AF, Garcez, MC, Sala, AD, Suguitani, EO, Kazue, P, Oliveira, LR, Infantini, RM, Carvalho, FR, Andrade, LC, Santos, TM, Carmona, CV, Figueiredo, LC, Falcão, A, Dragosavak, D, Filho, WN, Lunardi, MC, Lago, R, Gatti, C, Chiasso, TM, Santos, GO, Araujo, AC, Ornellas, IB, Vieira, VM, Hajjar, LA, Figueiredo, AC, Damasceno, B, Hinestrosa, A, Diaz-Quijano, FA, Raineri, SM, and Cortegiani, A
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Research design ,ARDS ,medicine.medical_specialty ,Time Factors ,Ventilator-Induced Lung Injury ,Alveolar recruitment ,Treatment outcome ,Randomized ,Medicine (miscellaneous) ,Settore MED/41 - Anestesiologia ,Hospital mortality ,law.invention ,Positive-Pressure Respiration ,Study Protocol ,Mechanical ventilation ,Clinical trials ,Randomized controlled trial ,Clinical Protocols ,law ,Medicine ,Humans ,Pharmacology (medical) ,Hospital Mortality ,PEEP ,Protocol (science) ,Respiratory Distress Syndrome ,Acute respiratory distress syndrome ,business.industry ,respiratory system ,Length of Stay ,medicine.disease ,Clinical trial ,Pulmonary Alveoli ,Intensive Care Units ,Treatment Outcome ,Multicenter study ,Barotrauma ,Research Design ,Physical therapy ,business ,Brazil - Abstract
Background Acute respiratory distress syndrome (ARDS) is associated with high in-hospital mortality. Alveolar recruitment followed by ventilation at optimal titrated PEEP may reduce ventilator-induced lung injury and improve oxygenation in patients with ARDS, but the effects on mortality and other clinical outcomes remain unknown. This article reports the rationale, study design, and analysis plan of the Alveolar Recruitment for ARDS Trial (ART). Methods/Design ART is a pragmatic, multicenter, randomized (concealed), controlled trial, which aims to determine if maximum stepwise alveolar recruitment associated with PEEP titration is able to increase 28-day survival in patients with ARDS compared to conventional treatment (ARDSNet strategy). We will enroll adult patients with ARDS of less than 72 h duration. The intervention group will receive an alveolar recruitment maneuver, with stepwise increases of PEEP achieving 45 cmH2O and peak pressure of 60 cmH2O, followed by ventilation with optimal PEEP titrated according to the static compliance of the respiratory system. In the control group, mechanical ventilation will follow a conventional protocol (ARDSNet). In both groups, we will use controlled volume mode with low tidal volumes (4 to 6 mL/kg of predicted body weight) and targeting plateau pressure ≤30 cmH2O. The primary outcome is 28-day survival, and the secondary outcomes are: length of ICU stay; length of hospital stay; pneumothorax requiring chest tube during first 7 days; barotrauma during first 7 days; mechanical ventilation-free days from days 1 to 28; ICU, in-hospital, and 6-month survival. ART is an event-guided trial planned to last until 520 events (deaths within 28 days) are observed. These events allow detection of a hazard ratio of 0.75, with 90% power and two-tailed type I error of 5%. All analysis will follow the intention-to-treat principle. Discussion If the ART strategy with maximum recruitment and PEEP titration improves 28-day survival, this will represent a notable advance to the care of ARDS patients. Conversely, if the ART strategy is similar or inferior to the current evidence-based strategy (ARDSNet), this should also change current practice as many institutions routinely employ recruitment maneuvers and set PEEP levels according to some titration method. Trial registration ClinicalTrials.gov Identifier: NCT01374022
- Published
- 2012
11. The visual search test: analysis of sensitivity of the global score and of the three items in mild Alzheimer’s disease
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Girtler, NICOLA GIOVANNI, Brugnolo, Andrea, De Leo, C, Dessi, B, Rossi Sebastiano, D, Baruzzi, C, Nobili, FLAVIO MARIANO, and Rodriguez, Guido
- Published
- 2005
12. Il settore dei trasporti
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Baruzzi, C and Teodori, Claudio
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Informativa volontaria ,settori economico ,disclosure - Published
- 2005
13. Disturbi di Comportamento e Disturbo dello Spettro Autistico (ASD)
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Veneselli, EDVIGE MARIA, Cocchi, E., Battaglia, F. M., Baruzzi, C., Follo, R., and Giribaldi, G.
- Published
- 2004
14. Pasture depletion: cascading effects on intraspecific aggression and social stress in a mountain-dwelling herbivore
- Author
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Niccolò Fattorini, Brunetti, C., Baruzzi, C., Macchi, E., Pagliarella, M. C., Pallari, N., Cotza, A., Sandro LOVARI, and Francesco Ferretti
15. SNAPSHOT USA 2019: a coordinated national camera trap survey of the United States
- Author
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Jerrold L. Belant, Seth C. Crockett, William J. McShea, Adam Zorn, Robert A. Long, Çağan H. Şekercioğlu, Kelly Anne MacCombie, Helen I. Rowe, Jaquelyn Tleimat, Adrienne Dykstra, Kelsey A. Barnick, Tiffany A. Sprague, Connor Cincotta, Andrew J. Edelman, Marcus A. Lashley, Anthony P. Crupi, Steven Hammerich, Jennifer Sevin, Carolina Baruzzi, Jesse M. Alston, Elizabeth A. Flaherty, Christopher P. Hansen, Damon B. Lesmeister, Sean T. Giery, Caroline N. Ellison, Andrea K. Darracq, George R. Hess, Brian J. O'Neill, Matthew E. Gompper, Christopher M. Schalk, Amelia M. Bergquist, Ronald S. Revord, Brian D. Gerber, Arielle W. Parsons, Chelsey Tellez, Travis W. Knowles, Daniel G. Scognamillo, Christopher Nagy, Jan Schipper, Morgan Gray, Maximilian L. Allen, Gary W. Roemer, Tavis Forrester, Aaron N. Facka, Miranda L. Davis, Alexej P. K. Sirén, Brett A. DeGregorio, Colin E. Studds, Monica Lasky, Melissa T. R. Hawkins, La Roy S.E. Brandt, Thomas E. Lee, Sean M. King, Mark A. Linnell, Jinelle H. Sperry, John F. Benson, Katherine C. B. Weiss, Joshua J. Millspaugh, Fabiola Iannarilli, Bryn Evans, Christopher A. Lepczyk, David Mason, Mark J. Jordan, Jarred M. Brooke, Cara L. Appel, Katherine E. Andy, Jennifer L. Stenglein, Dean E. Beyer, Tru Hubbard, Marketa Zimova, Alexandra J. Bebko, Daniel J. Herrera, Cristian J. Hernandez, Petros Chrysafis, Summer D. Higdon, Caleb Durbin, Sophie L. Nasrallah, Roland Kays, Scott D. LaPoint, Kathryn R. Remine, Brandon T. Barton, Chip Ruthven, Robert C. Lonsinger, Noel Schmitz, Jorie Favreau, Stephen L. Webb, Edward Trout, Mary E. Pendergast, Brenna Wells, Christine Anhalt-Depies, Robert Horan, Christopher A. Whittier, Todd K. Fuller, M. Teague O'Mara, Hila Shamon, Jean E. Fantle-Lepczyk, Rachel M. Cliché, Sean P. Maher, Stephanie S. Coster, Joshua Sands, Kellie M. Kuhn, Helen Bontrager, Christopher T. Rota, Jaylin N. Solberg, Sarah R. Fritts, John P. Vanek, Laura S. Whipple, Erika L. Barthelmess, Alessio Mortelliti, Kodi Jo Jaspers, Daniel Davis, Renee Klann, Erin K. Kuprewicz, Melinda Fowler, Christine C. Rega-Brodsky, Haydée Hernández-Yáñez, Robert Pelletier, Daniel A. Bogan, M. Caitlin Fisher-Reid, Weston C. Thompson, Chris Sutherland, Claire Bresnan, Todd M. Kautz, Nathaniel H. Wehr, Neil H. Carter, Sharyn B. Marks, Carrie Nelson, Jessica C. Burr, Richard G. Lathrop, Austin M. Green, Robert H. Hagen, Andrea Romero, Michael S. Rentz, Matthew S. Leslie, Katarina Russell, Michael V. Cove, David S. Jachowski, Paige S. Warren, Sean A. Neiswenter, Nyeema C. Harris, Jillian R. Kilborn, Taylor Frerichs, Marius van der Merwe, Jennifer Y. Zhao, Darren A. Clark, Derek R. Risch, Jacque Williamson, Diana J. R. Lafferty, Michelle Halbur, Joanne R. Wasdin, Melissa R. Price, Justin A. Compton, Alex J. Jensen, University of St Andrews. Statistics, Cove, M. V., Kays, R., Bontrager, H., Bresnan, C., Lasky, M., Frerichs, T., Klann, R., Lee, T. E., Crockett, S. C., Crupi, A. P., Weiss, K. C. B., Rowe, H., Sprague, T., Schipper, J., Tellez, C., Lepczyk, C. A., Fantle-Lepczyk, J. E., Lapoint, S., Williamson, J., Fisher-Reid, M. C., King, S. M., Bebko, A. J., Chrysafis, P., Jensen, A. J., Jachowski, D. S., Sands, J., Maccombie, K. A., Herrera, D. J., van der Merwe, M., Knowles, T. W., Horan, R. V., Rentz, M. S., Brandt, L. S. E., Nagy, C., Barton, B. T., Thompson, W. C., Maher, S. P., Darracq, A. K., Hess, G., Parsons, A. W., Wells, B., Roemer, G. W., Hernandez, C. J., Gompper, M. E., Webb, S. L., Vanek, J. P., Lafferty, D. J. R., Bergquist, A. M., Hubbard, T., Forrester, T., Clark, D., Cincotta, C., Favreau, J., Facka, A. N., Halbur, M., Hammerich, S., Gray, M., Rega-Brodsky, C. C., Durbin, C., Flaherty, E. A., Brooke, J. M., Coster, S. S., Lathrop, R. G., Russell, K., Bogan, D. A., Cliche, R., Shamon, H., Hawkins, M. T. R., Marks, S. B., Lonsinger, R. C., O'Mara, M. T., Compton, J. A., Fowler, M., Barthelmess, E. L., Andy, K. E., Belant, J. L., Beyer, D. E., Kautz, T. M., Scognamillo, D. G., Schalk, C. M., Leslie, M. S., Nasrallah, S. L., Ellison, C. N., Ruthven, C., Fritts, S., Tleimat, J., Gay, M., Whittier, C. A., Neiswenter, S. A., Pelletier, R., Degregorio, B. A., Kuprewicz, E. K., Davis, M. L., Dykstra, A., Mason, D. S., Baruzzi, C., Lashley, M. A., Risch, D. R., Price, M. R., Allen, M. L., Whipple, L. S., Sperry, J. H., Hagen, R. H., Mortelliti, A., Evans, B. E., Studds, C. E., Siren, A. P. K., Kilborn, J., Sutherland, C., Warren, P., Fuller, T., Harris, N. C., Carter, N. H., Trout, E., Zimova, M., Giery, S. T., Iannarilli, F., Higdon, S. D., Revord, R. S., Hansen, C. P., Millspaugh, J. J., Zorn, A., Benson, J. F., Wehr, N. H., Solberg, J. N., Gerber, B. D., Burr, J. C., Sevin, J., Green, A. M., Sekercioglu, C. H., Pendergast, M., Barnick, K. A., Edelman, A. J., Wasdin, J. R., Romero, A., O'Neill, B. J., Schmitz, N., Alston, J. M., Kuhn, K. M., Lesmeister, D. B., Linnell, M. A., Appel, C. L., Rota, C., Stenglein, J. L., Anhalt-Depies, C., Nelson, C., Long, R. A., Jo Jaspers, K., Remine, K. R., Jordan, M. J., Davis, D., Hernandez-Yanez, H., Zhao, J. Y., and Mcshea, W. J.
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0106 biological sciences ,Cingulata ,QH301 Biology ,Carnivora ,Population Dynamics ,Biodiversity ,mammal ,Information repository ,01 natural sciences ,QA ,biodiversity ,Mammals ,education.field_of_study ,camera trap ,Ecology ,Camera traps ,Environmental resource management ,Species distribution modeling ,Geography ,Biogeography ,carnivora ,Extinction debt ,United State ,Cetartiodactyla ,Didelphimorphia ,Lagomorpha ,Rodentia ,biogeography ,camera traps ,mammals ,occupancy modeling ,species distribution modeling ,Animals ,Birds ,United States ,Animals, Wild ,Occupancy modeling ,Population ,Wildlife ,Wild ,010603 evolutionary biology ,Snapshot (photography) ,QH301 ,Bird ,QA Mathematics ,education ,Ecology, Evolution, Behavior and Systematics ,Population Dynamic ,Animal ,business.industry ,010604 marine biology & hydrobiology ,DAS ,Camera trap ,Survey data collection ,business - Abstract
This article is protected by copyright. All rights reserved. With the accelerating pace of global change, it is imperative that we obtain rapid inventories of the status and distribution of wildlife for ecological inferences and conservation planning. To address this challenge, we launched the SNAPSHOT USA project, a collaborative survey of terrestrial wildlife populations using camera traps across the United States. For our first annual survey, we compiled data across all 50 states during a 14-week period (17 August - 24 November of 2019). We sampled wildlife at 1509 camera trap sites from 110 camera trap arrays covering 12 different ecoregions across four development zones. This effort resulted in 166,036 unique detections of 83 species of mammals and 17 species of birds. All images were processed through the Smithsonian's eMammal camera trap data repository and included an expert review phase to ensure taxonomic accuracy of data, resulting in each picture being reviewed at least twice. The results represent a timely and standardized camera trap survey of the USA. All of the 2019 survey data are made available herein. We are currently repeating surveys in fall 2020, opening up the opportunity to other institutions and cooperators to expand coverage of all the urban-wild gradients and ecophysiographic regions of the country. Future data will be available as the database is updated at eMammal.si.edu/snapshot-usa, as well as future data paper submissions. These data will be useful for local and macroecological research including the examination of community assembly, effects of environmental and anthropogenic landscape variables, effects of fragmentation and extinction debt dynamics, as well as species-specific population dynamics and conservation action plans. There are no copyright restrictions; please cite this paper when using the data for publication. Publisher PDF
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- 2021
16. SNAPSHOT USA 2021: A third coordinated national camera trap survey of the United States.
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Shamon H, Maor R, Cove MV, Kays R, Adley J, Alexander PD, Allen DN, Allen ML, Appel CL, Barr E, Barthelmess EL, Baruzzi C, Bashaw K, Bastille-Rousseau G, Baugh ME, Belant J, Benson JF, Bespoyasny BA, Bird T, Bogan DA, Brandt LSE, Bresnan CE, Brooke JM, Buderman FE, Buzzell SG, Cheeseman AE, Chitwood MC, Chrysafis P, Collins MK, Collins DP, Compton JA, Conner LM, Cosby OG, Coster SS, Crawford B, Crupi AP, Darracq AK, Davis ML, DeGregorio BA, Denningmann KL, Dougherty KD, Driver A, Edelman AJ, Ellington EH, Ellis-Felege SN, Ellison CN, Fantle-Lepczyk JE, Farris ZJ, Favreau J, Fernandez P, Fisher-Reid MC, Fitzpatrick MC, Flaherty EA, Forrester TD, Fritts SR, Gallo T, Gerber BD, Giery ST, Glasscock JL, Gonatas AD, Grady AC, Green AM, Gregory T, Griffin N, Hagen RH, Hansen CP, Hansen LP, Hasstedt SC, Hernández-Yáñez H, Herrera DJ, Horan RV 3rd, Jackson VL, Johnson L, Jordan MJ, Kahano W, Kiser J, Knowles TW, Koeck MM, Koroly C, Kuhn KM, Kuprewicz EK, Lafferty DJR, LaPoint SD, Lashley M, Lathrop RG, Lee TE Jr, Lepczyk CA, Lesmeister DB, Lombardi JV, Long RA, Lonsinger RC, MacKay P, Maher SP, Mason DS, Millspaugh JJ, Moll RJ, Moon JB, Mortelliti A, Mychajliw AM, Nagy CM, Neiswenter SA, Nelson DL, Nemes CE, Nielsen CK, Olson E, O'Mara MT, O'Neill BJ, Page BR, Parsons E, Pease BS, Pendergast ME, Proctor M, Quick H, Rega-Brodsky CC, Rentz MS, Rezendes K, Rich D, Risch DR, Romero A, Rooney BR, Rota CT, Samples CA, Schalk CM, Sekercioğlu ÇH, Sergeyev M, Smith AB, Smith DS, Sperry JH, Stenglein JL, Stokes MK, Stutzman JS, Todd KR, Vanek JP, Varga W, Wardle ZM, Webb SL, Wehr NH, Whipple LS, Whittier CA, Widness JS, Williamson J, Wilson AM, Wolf AJ, Zimova M, Zorn AS, and McShea WJ
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- United States, Animals, Mammals, Ecosystem, Photography
- Abstract
SNAPSHOT USA is a multicontributor, long-term camera trap survey designed to survey mammals across the United States. Participants are recruited through community networks and directly through a website application (https://www.snapshot-usa.org/). The growing Snapshot dataset is useful, for example, for tracking wildlife population responses to land use, land cover, and climate changes across spatial and temporal scales. Here we present the SNAPSHOT USA 2021 dataset, the third national camera trap survey across the US. Data were collected across 109 camera trap arrays and included 1711 camera sites. The total effort equaled 71,519 camera trap nights and resulted in 172,507 sequences of animal observations. Sampling effort varied among camera trap arrays, with a minimum of 126 camera trap nights, a maximum of 3355 nights, a median 546 nights, and a mean 656 ± 431 nights. This third dataset comprises 51 camera trap arrays that were surveyed during 2019, 2020, and 2021, along with 71 camera trap arrays that were surveyed in 2020 and 2021. All raw data and accompanying metadata are stored on Wildlife Insights (https://www.wildlifeinsights.org/), and are publicly available upon acceptance of the data papers. SNAPSHOT USA aims to sample multiple ecoregions in the United States with adequate representation of each ecoregion according to its relative size. Currently, the relative density of camera trap arrays varies by an order of magnitude for the various ecoregions (0.22-5.9 arrays per 100,000 km
2 ), emphasizing the need to increase sampling effort by further recruiting and retaining contributors. There are no copyright restrictions on these data. We request that authors cite this paper when using these data, or a subset of these data, for publication. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the US Government., (© 2024 The Ecological Society of America.)- Published
- 2024
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17. Mammal responses to global changes in human activity vary by trophic group and landscape.
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Burton AC, Beirne C, Gaynor KM, Sun C, Granados A, Allen ML, Alston JM, Alvarenga GC, Calderón FSÁ, Amir Z, Anhalt-Depies C, Appel C, Arroyo-Arce S, Balme G, Bar-Massada A, Barcelos D, Barr E, Barthelmess EL, Baruzzi C, Basak SM, Beenaerts N, Belmaker J, Belova O, Bezarević B, Bird T, Bogan DA, Bogdanović N, Boyce A, Boyce M, Brandt L, Brodie JF, Brooke J, Bubnicki JW, Cagnacci F, Carr BS, Carvalho J, Casaer J, Černe R, Chen R, Chow E, Churski M, Cincotta C, Ćirović D, Coates TD, Compton J, Coon C, Cove MV, Crupi AP, Farra SD, Darracq AK, Davis M, Dawe K, De Waele V, Descalzo E, Diserens TA, Drimaj J, Duľa M, Ellis-Felege S, Ellison C, Ertürk A, Fantle-Lepczyk J, Favreau J, Fennell M, Ferreras P, Ferretti F, Fiderer C, Finnegan L, Fisher JT, Fisher-Reid MC, Flaherty EA, Fležar U, Flousek J, Foca JM, Ford A, Franzetti B, Frey S, Fritts S, Frýbová Š, Furnas B, Gerber B, Geyle HM, Giménez DG, Giordano AJ, Gomercic T, Gompper ME, Gräbin DM, Gray M, Green A, Hagen R, Hagen RB, Hammerich S, Hanekom C, Hansen C, Hasstedt S, Hebblewhite M, Heurich M, Hofmeester TR, Hubbard T, Jachowski D, Jansen PA, Jaspers KJ, Jensen A, Jordan M, Kaizer MC, Kelly MJ, Kohl MT, Kramer-Schadt S, Krofel M, Krug A, Kuhn KM, Kuijper DPJ, Kuprewicz EK, Kusak J, Kutal M, Lafferty DJR, LaRose S, Lashley M, Lathrop R, Lee TE Jr, Lepczyk C, Lesmeister DB, Licoppe A, Linnell M, Loch J, Long R, Lonsinger RC, Louvrier J, Luskin MS, MacKay P, Maher S, Manet B, Mann GKH, Marshall AJ, Mason D, McDonald Z, McKay T, McShea WJ, Mechler M, Miaud C, Millspaugh JJ, Monteza-Moreno CM, Moreira-Arce D, Mullen K, Nagy C, Naidoo R, Namir I, Nelson C, O'Neill B, O'Mara MT, Oberosler V, Osorio C, Ossi F, Palencia P, Pearson K, Pedrotti L, Pekins CE, Pendergast M, Pinho FF, Plhal R, Pocasangre-Orellana X, Price M, Procko M, Proctor MD, Ramalho EE, Ranc N, Reljic S, Remine K, Rentz M, Revord R, Reyna-Hurtado R, Risch D, Ritchie EG, Romero A, Rota C, Rovero F, Rowe H, Rutz C, Salvatori M, Sandow D, Schalk CM, Scherger J, Schipper J, Scognamillo DG, Şekercioğlu ÇH, Semenzato P, Sevin J, Shamon H, Shier C, Silva-Rodríguez EA, Sindicic M, Smyth LK, Soyumert A, Sprague T, St Clair CC, Stenglein J, Stephens PA, Stępniak KM, Stevens M, Stevenson C, Ternyik B, Thomson I, Torres RT, Tremblay J, Urrutia T, Vacher JP, Visscher D, Webb SL, Weber J, Weiss KCB, Whipple LS, Whittier CA, Whittington J, Wierzbowska I, Wikelski M, Williamson J, Wilmers CC, Windle T, Wittmer HU, Zharikov Y, Zorn A, and Kays R
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- Animals, Humans, Animals, Wild, Ecosystem, Mammals, Human Activities, COVID-19 epidemiology
- 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., (© 2024. The Author(s).)
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- 2024
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18. Animal conflicts escalate in a warmer world.
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Fattorini N, Lovari S, Franceschi S, Chiatante G, Brunetti C, Baruzzi C, and Ferretti F
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- Animals, Female, Global Warming, Herbivory, Plants, Mammals, Ecosystem, Climate Change
- Abstract
The potential for climate change to affect animal behaviour is widely recognized, yet its possible consequences on aggressiveness are still unclear. If warming and drought limit the availability of food resources, climate change may elicit an increase of intraspecific conflicts stemming from resource competition. By measuring aggressivity indices in a group-living, herbivorous mammal (the Apennine chamois Rupicapra pyrenaica ornata) in two sites differing in habitat quality, and coupling them with estimates of plant productivity, we investigated whether harsh climatic conditions accumulated during the growing season influenced agonistic contests at feeding via vegetation-mediated effects, and their interaction with the site-specific habitat quality. We focused on females, which exhibit intra-group contest competition to access nutritious food patches. Accounting for confounding variables, we found that (1) the aggression rate between foraging individuals increased with the warming accumulated over previous weeks; (2) the probability to deliver more aggressive behaviour patterns toward contestants increased with decreasing rainfall recorded in previous weeks; (3) the effects of cumulative warming and drought on aggressivity indices occurred at time windows spanning 15-30 days, matching those found on vegetation productivity; (4) the effects of unfavourable climatic conditions via vegetation growth on aggressivity were independent of the site-specific habitat quality. Simulations conducted on our model species predict a ~50 % increase in aggression rate following the warming projected over the next 60 years. Where primary productivity will be impacted by warming and drought, our findings suggest that the anticipated climate change scenarios may trigger bottom-up consequences on intraspecific animal conflicts. This study opens the doors for a better understanding of the multifactorial origin of aggression in group-living foragers, emphasising how the escalation of agonistic contests could emerge as a novel response of animal societies to ongoing global warming., Competing Interests: Declaration of competing interest The authors declare no competing interests., (Copyright © 2023 Elsevier B.V. All rights reserved.)
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- 2023
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19. Estimating body mass of wild pigs ( Sus scrofa ) using body morphometrics.
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Baruzzi C, Snow NP, Vercauteren KC, Strickland BK, Arnoult JS, Fischer JW, Glow MP, Lavelle MJ, Smith BA, Steakley D, and Lashley MA
- Abstract
Wild pigs ( Sus scrofa ) are invading many areas globally and impacting biodiversity and economies in their non-native range. Thus, wild pigs are often targeted for eradication efforts. Age- and sex-specific body measurements are important for informing these eradication efforts because they reflect body condition, resource availability, and fecundity, which are common indicators of population trajectory. However, body mass is often difficult to collect, especially on large individuals that require specialized equipment or multiple people to weigh. Measurements that can be rapidly taken by a single land or wildlife manager on any size wild pig without aid from specialized equipment would be beneficial if they accurately infer wild pig body mass. Our goals were to assess whether morphometric measurements could accurately predict wild pig body mass, and to provide tools to directly input these measures and estimate wild pig body mass. Using linear models, we quantified the relationship between body mass and morphometric measurements (i.e., body length, chest girth, ear length, eye to snout length, hindfoot length, shoulder length, and tail length) from a subset ( n = 102) of wild pigs culled at the Mississippi Alluvial Valley, Mississippi, USA. We evaluated separate models for each individual morphometric measurement. We then used the model coefficients to develop equations to predict wild pig body mass. We validated these equations predicting body mass of 1592 individuals collected across eight areas in Australia, Guam, and the USA for cross-validation. Each developed equation remained accurate when cross-validated across regions. Body length, chest girth, and shoulder length were the morphometrics that best predicted wild pig body mass. Our analyses indicated it is possible to use the presented equations to infer wild pig body mass from simple metrics., (© 2023 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd. This article has been contributed to by U.S. Government employees and their work is in the public domain in the USA.)
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- 2023
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20. Could parasite outbreaks be mediated by interspecific competition? The case of Entomophthora, blowflies, and vultures.
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Baruzzi C, Barton BT, and Lashley MA
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- Animals, Calliphoridae, Entomophthora, Ecosystem, Disease Outbreaks, Ecology, Parasites, Falconiformes
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- 2023
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21. Passive directed dispersal of plants by animals.
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Mason DS, Baruzzi C, and Lashley MA
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- Animal Distribution, Animals, Plant Dispersal, Symbiosis, Plants, Seed Dispersal
- Abstract
Conceptual gaps and imprecise terms and definitions may obscure the breadth of plant-animal dispersal relationships involved in directed dispersal. The term 'directed' indicates predictable delivery to favourable microsites. However, directed dispersal was initially considered uncommon in diffuse mutualisms (i.e. those involving many species), partly because plants rarely influence post-removal propagule fate without specialized adaptations. This rationale implies that donor plants play an active role in directed dispersal by manipulating vector behaviour after propagule removal. However, even in most classic examples of directed dispersal, participating plants do not influence animal behaviour after propagule removal. Instead, such plants may take advantage of vector attraction to favourable plant microsites, indicating a need to expand upon current interpretations of directed dispersal. We contend that directed dispersal can emerge whenever propagules are disproportionately delivered to favourable microsites as a result of predictably skewed vector behaviour. Thus, we propose distinguishing active and passive forms of directed dispersal. In active directed dispersal, the donor plant achieves disproportionate arrival to favourable microsites by influencing vector behaviour after propagule removal. By contrast, passive directed dispersal occurs when the donor plant takes advantage of vector behaviour to arrive at favourable microsites. Whereas predictable post-removal vector behaviour is dictated by characteristics of the donor plant in active directed dispersal, characteristics of the destination dictate predictable post-removal vector behaviour in passive directed dispersal. Importantly, this passive form of directed dispersal may emerge in more plant-animal dispersal relationships because specialized adaptations in donor plants that influence post-removal vector behaviour are not required. We explore the occurrence and consequences of passive directed dispersal using the unifying generalized gravity model of dispersal. This model successfully describes vectored dispersal by incorporating the influence of the environment (i.e. attractiveness of microsites) on vector movement. When applying gravity models to dispersal, the three components of Newton's gravity equation (i.e. gravitational force, object mass, and distance between centres of mass) become analogous to propagules moving towards a location based on characteristics of the donor plant, the destination, and relocation processes. The generalized gravity model predicts passive directed dispersal in plant-animal dispersal relationships when (i) animal vectors are predictably attracted to specific destinations, (ii) animal vectors disproportionately disperse propagules to those destinations, and (iii) those destinations are also favourable microsites for the dispersed plants. Our literature search produced evidence for these three conditions broadly, and we identified 13 distinct scenarios where passive directed dispersal likely occurs because vector behaviour is predictably skewed towards favourable microsites. We discuss the wide applicability of passive directed dispersal to plant-animal mutualisms and provide new insights into the vulnerability of those mutualisms to global change., (© 2022 Cambridge Philosophical Society.)
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- 2022
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22. SNAPSHOT USA 2020: A second coordinated national camera trap survey of the United States during the COVID-19 pandemic.
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Kays R, Cove MV, Diaz J, Todd K, Bresnan C, Snider M, Lee TE Jr, Jasper JG, Douglas B, Crupi AP, Weiss KCB, Rowe H, Sprague T, Schipper J, Lepczyk CA, Fantle-Lepczyk JE, Davenport J, Zimova M, Farris Z, Williamson J, Fisher-Reid MC, Rezendes D, King SM, Chrysafis P, Jensen AJ, Jachowski DS, King KC, Herrera DJ, Moore S, van der Merwe M, Lombardi JV, Sergeyev M, Tewes ME, Horan RV 3rd, Rentz MS, Driver A, Brandt RSE, Nagy C, Alexander P, Maher SP, Darracq AK, Barr EG, Hess G, Webb SL, Proctor MD, Vanek JP, Lafferty DJR, Hubbard T, Jiménez JE, McCain C, Favreau J, Fogarty J, Hill J, Hammerich S, Gray M, Rega-Brodsky CC, Durbin C, Flaherty EA, Brooke J, Coster SS, Lathrop RG, Russell K, Bogan DA, Shamon H, Rooney B, Rockhill A, Lonsinger RC, O'Mara MT, Compton JA, Barthelmess EL, Andy KE, Belant JL, Petroelje T, Wehr NH, Beyer DE Jr, Scognamillo DG, Schalk C, Day K, Ellison CN, Ruthven C, Nunley B, Fritts S, Whittier CA, Neiswenter SA, Pelletier R, DeGregorio BA, Kuprewicz EK, Davis ML, Baruzzi C, Lashley MA, McDonald B, Mason D, Risch DR, Allen ML, Whipple LS, Sperry JH, Alexander E, Wolff PJ, Hagen RH, Mortelliti A, Bolinjcar A, Wilson AM, Van Norman S, Powell C, Coletto H, Schauss M, Bontrager H, Beasley J, Ellis-Felege SN, Wehr SR, Giery ST, Pekins CE, LaRose SH, Revord RS, Hansen CP, Hansen L, Millspaugh JJ, Zorn A, Gerber BD, Rezendes K, Adley J, Sevin J, Green AM, Şekercioğlu ÇH, Pendergast ME, Mullen K, Bird T, Edelman AJ, Romero A, O'Neill BJ, Schmitz N, Vandermus RA, Alston JM, Kuhn KM, Hasstedt SC, Lesmeister DB, Appel CL, Rota C, Stenglein JL, Anhalt-Depies C, Nelson CL, Long RA, Remine KR, Jordan MJ, Elbroch LM, Bergman D, Cendejas-Zarelli S, Sager-Fradkin K, Conner M, Morris G, Parsons E, Hernández-Yáñez H, and McShea WJ
- Subjects
- Animals, Animals, Wild, Birds, Humans, Mammals, Pandemics, United States, COVID-19 epidemiology
- Abstract
Managing wildlife populations in the face of global change requires regular data on the abundance and distribution of wild animals, but acquiring these over appropriate spatial scales in a sustainable way has proven challenging. Here we present the data from Snapshot USA 2020, a second annual national mammal survey of the USA. This project involved 152 scientists setting camera traps in a standardized protocol at 1485 locations across 103 arrays in 43 states for a total of 52,710 trap-nights of survey effort. Most (58) of these arrays were also sampled during the same months (September and October) in 2019, providing a direct comparison of animal populations in 2 years that includes data from both during and before the COVID-19 pandemic. All data were managed by the eMammal system, with all species identifications checked by at least two reviewers. In total, we recorded 117,415 detections of 78 species of wild mammals, 9236 detections of at least 43 species of birds, 15,851 detections of six domestic animals and 23,825 detections of humans or their vehicles. Spatial differences across arrays explained more variation in the relative abundance than temporal variation across years for all 38 species modeled, although there are examples of significant site-level differences among years for many species. Temporal results show how species allocate their time and can be used to study species interactions, including between humans and wildlife. These data provide a snapshot of the mammal community of the USA for 2020 and will be useful for exploring the drivers of spatial and temporal changes in relative abundance and distribution, and the impacts of species interactions on daily activity patterns. There are no copyright restrictions, and please cite this paper when using these data, or a subset of these data, for publication., (© 2022 The Authors. Ecology © 2022 The Ecological Society of America.)
- Published
- 2022
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23. "Ecology of fear" in ungulates: Opportunities for improving conservation.
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Chitwood MC, Baruzzi C, and Lashley MA
- Abstract
Because ungulates are important contributors to ecosystem function, understanding the "ecology of fear" could be important to the conservation of ecosystems. Although studying ungulate ecology of fear is common, knowledge from ungulate systems is highly contested among ecologists. Here, we review the available literature on the ecology of fear in ungulates to generalize our current knowledge and how we can leverage it for conservation. Four general focus areas emerged from the 275 papers included in our literature search (and some papers were included in multiple categories): behavioral responses to predation risk (79%), physiological responses to predation risk (15%), trophic cascades resulting from ungulate responses to predation risk (20%), and manipulation of predation risk (1%). Of papers focused on behavior, 75% were about movement and habitat selection. Studies were biased toward North America (53%), tended to be focused on elk ( Cervus canadensis ; 29%), and were dominated by gray wolves (40%) or humans (39%) as predators of interest. Emerging literature suggests that we can utilize predation risk for conservation with top-down (i.e., increasing predation risk) and bottom-up (i.e., manipulating landscape characteristics to increase risk or risk perception) approaches. It is less clear whether fear-related changes in physiology have population-level fitness consequences or cascading effects, which could be fruitful avenues for future research. Conflicting evidence of trait-mediated trophic cascades might be improved with better replication across systems and accounting for confounding effects of ungulate density. Improving our understanding of mechanisms modulating the nature of trophic cascades likely is most important to ensure desirable conservation outcomes. We recommend future work embrace the complexity of natural systems by attempting to link together the focal areas of study identified herein., Competing Interests: Authors declare no conflict of interest., (© 2022 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.)
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- 2022
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24. SNAPSHOT USA 2019: a coordinated national camera trap survey of the United States.
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Cove MV, Kays R, Bontrager H, Bresnan C, Lasky M, Frerichs T, Klann R, Lee TE Jr, Crockett SC, Crupi AP, Weiss KCB, Rowe H, Sprague T, Schipper J, Tellez C, Lepczyk CA, Fantle-Lepczyk JE, LaPoint S, Williamson J, Fisher-Reid MC, King SM, Bebko AJ, Chrysafis P, Jensen AJ, Jachowski DS, Sands J, MacCombie KA, Herrera DJ, van der Merwe M, Knowles TW, Horan RV 3rd, Rentz MS, Brandt LSE, Nagy C, Barton BT, Thompson WC, Maher SP, Darracq AK, Hess G, Parsons AW, Wells B, Roemer GW, Hernandez CJ, Gompper ME, Webb SL, Vanek JP, Lafferty DJR, Bergquist AM, Hubbard T, Forrester T, Clark D, Cincotta C, Favreau J, Facka AN, Halbur M, Hammerich S, Gray M, Rega-Brodsky CC, Durbin C, Flaherty EA, Brooke JM, Coster SS, Lathrop RG, Russell K, Bogan DA, Cliché R, Shamon H, Hawkins MTR, Marks SB, Lonsinger RC, O'Mara MT, Compton JA, Fowler M, Barthelmess EL, Andy KE, Belant JL, Beyer DE Jr, Kautz TM, Scognamillo DG, Schalk CM, Leslie MS, Nasrallah SL, Ellison CN, Ruthven C, Fritts S, Tleimat J, Gay M, Whittier CA, Neiswenter SA, Pelletier R, DeGregorio BA, Kuprewicz EK, Davis ML, Dykstra A, Mason DS, Baruzzi C, Lashley MA, Risch DR, Price MR, Allen ML, Whipple LS, Sperry JH, Hagen RH, Mortelliti A, Evans BE, Studds CE, Sirén APK, Kilborn J, Sutherland C, Warren P, Fuller T, Harris NC, Carter NH, Trout E, Zimova M, Giery ST, Iannarilli F, Higdon SD, Revord RS, Hansen CP, Millspaugh JJ, Zorn A, Benson JF, Wehr NH, Solberg JN, Gerber BD, Burr JC, Sevin J, Green AM, Şekercioğlu ÇH, Pendergast M, Barnick KA, Edelman AJ, Wasdin JR, Romero A, O'Neill BJ, Schmitz N, Alston JM, Kuhn KM, Lesmeister DB, Linnell MA, Appel CL, Rota C, Stenglein JL, Anhalt-Depies C, Nelson C, Long RA, Jo Jaspers K, Remine KR, Jordan MJ, Davis D, Hernández-Yáñez H, Zhao JY, and McShea WJ
- Subjects
- Animals, Birds, Population Dynamics, United States, Animals, Wild, Mammals
- Abstract
With the accelerating pace of global change, it is imperative that we obtain rapid inventories of the status and distribution of wildlife for ecological inferences and conservation planning. To address this challenge, we launched the SNAPSHOT USA project, a collaborative survey of terrestrial wildlife populations using camera traps across the United States. For our first annual survey, we compiled data across all 50 states during a 14-week period (17 August-24 November of 2019). We sampled wildlife at 1,509 camera trap sites from 110 camera trap arrays covering 12 different ecoregions across four development zones. This effort resulted in 166,036 unique detections of 83 species of mammals and 17 species of birds. All images were processed through the Smithsonian's eMammal camera trap data repository and included an expert review phase to ensure taxonomic accuracy of data, resulting in each picture being reviewed at least twice. The results represent a timely and standardized camera trap survey of the United States. All of the 2019 survey data are made available herein. We are currently repeating surveys in fall 2020, opening up the opportunity to other institutions and cooperators to expand coverage of all the urban-wild gradients and ecophysiographic regions of the country. Future data will be available as the database is updated at eMammal.si.edu/snapshot-usa, as will future data paper submissions. These data will be useful for local and macroecological research including the examination of community assembly, effects of environmental and anthropogenic landscape variables, effects of fragmentation and extinction debt dynamics, as well as species-specific population dynamics and conservation action plans. There are no copyright restrictions; please cite this paper when using the data for publication., (© 2021 The Authors. Ecology © 2021 The Ecological Society of America.)
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- 2021
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25. Wiregrass (Aristida beyrichiana) survival and reproduction after fire in a long-unburned pine savanna.
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Fill JM, Zamora C, Baruzzi C, Salazar-Castro J, and Crandall RM
- Subjects
- Biodiversity, Ecosystem, Germination physiology, Grassland, Seeds physiology, Poaceae physiology
- Abstract
Restoring fire regimes is a major goal of biodiversity conservation efforts in fire-prone ecosystems from which fire has been excluded. In the southeastern U.S.A., nearly a century of fire exclusion in pine savannas has led to significant biodiversity declines in one of the most species-rich ecosystems of North America. In these savannas, frequent fires that support biodiversity are driven by vegetation-fire feedbacks. Understory grasses are key components of these feedbacks, fueling the spread of fires that keep tree density low and maintain a high-light environment. When fire is reintroduced to long-unburned sites, however, remnant populations of bunchgrasses might experience high mortality from fuel accumulation during periods of fire exclusion. Our objective was to quantify fire effects on wiregrass (Aristida beyrichiana), a key component of vegetation-fire feedbacks, following 16 years without fire in a dry pine savanna typically considered to burn every 1-3 years. We examined how wiregrass size and fuel (duff depth and presence of pinecones) affected post-fire survival, inflorescence and seed production, and seed germination. Wiregrass exhibited high survival regardless of size or fuels. Probability of flowering and inflorescence number per plant were unaffected by fuel treatments but increased significantly with plant size (p = 0.016). Germination of filled seeds was consistent (29-43%) regardless of fuels, although plants in low duff produced the greatest proportion of filled seeds. The ability of bunchgrasses to persist and reproduce following fire exclusion could jumpstart efforts to reinstate frequent-fire regimes and facilitate biodiversity restoration where remnant bunchgrass populations remain., Competing Interests: The authors have declared that no competing interests exist.
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- 2021
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26. Temporal variation in foraging activity and grouping patterns in a mountain-dwelling herbivore: Environmental and endogenous drivers.
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Fattorini N, Brunetti C, Baruzzi C, Chiatante G, Lovari S, and Ferretti F
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- Age Factors, Animals, Ecosystem, Female, Herbivory, Male, Photoperiod, Sex Factors, Appetitive Behavior, Circadian Rhythm, Rupicapra, Seasons, Temperature
- Abstract
In temperate ecosystems, seasonality influences animal behaviour. Food availability, weather, photoperiod and endogenous factors relevant to the biological cycle of individuals have been shown as major drivers of temporal changes in activity rhythms and group size/structure of herbivorous species. We evaluated how diurnal female foraging activity and grouping patterns of a mountain herbivore, the Apennine chamois Rupicapra pyrenaica ornata, varied during a decreasing gradient of pasture availability along the summer-autumn progression (July-October), a crucial period for the life cycle of mountain ungulates. Females increased diurnal foraging activity, possibly because of constrains elicited by variation in environmental factors. Size of mixed groups did not vary, in contrast with the hypothesis that groups should be smaller when pasture availability is lower. Proportion of females in groups increased, possibly suggesting that they concentrated on patchily distributed nutritious forbs. Occurrence of yearlings in groups decreased, which may have depended on dispersal of chamois in this age class. Presence of kids in groups did not show variation through summer-autumn, suggesting a close mother-juvenile relationship even at the end of weaning and/or, possibly, low summer mortality. Both endogenous and environmental factors contribute to shape variation in foraging activity and grouping behaviour in mountain-dwelling herbivores., (Copyright © 2019 Elsevier B.V. All rights reserved.)
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- 2019
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27. Motor asymmetry in goats during a stepping task.
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Baruzzi C, Nawroth C, G McElligott A, and Baciadonna L
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- Animals, Behavior, Animal physiology, Female, Male, Forelimb physiology, Functional Laterality, Goats physiology, Motor Activity physiology
- Abstract
Behavioural lateralization consists of perceptual and motor lateralization and provides adaptive advantages such as a general increase in brain efficiency. Motor laterality refers to the preferred use of either left or right limbs or organs to perform a specific task. We investigated motor laterality in goats (Capra hircus), using the First-stepping Task. During this task, the first foreleg used to step off a board after standing with both forelimbs was recorded. Subjects varied individually in their expression of motor lateralization with 36.6% of subjects showing individual-level asymmetries. However, goats as a group did not show a preference for a specific foreleg or lateralization in general. Our results support the hypothesis that the need to coordinate behaviour among conspecifics might be important for determining the presence of lateralization at the population level. We suggest that future research investigates how social complexity might affect population-level asymmetries, and whether stimuli with high emotional valence impact on lateralization presence and level (i.e., individual or population).
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- 2018
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28. The Use of Interpreters in Medical Triage during a Refugee Mass-Gathering Incident in Europe.
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Alexakis LC, Papachristou A, Baruzzi C, and Konstantinou A
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- Adolescent, Adult, Child, Child, Preschool, Europe, Female, Humans, Infant, Interviews as Topic, Male, Middle Aged, Syria ethnology, Young Adult, Communication Barriers, Mass Casualty Incidents, Refugees, Translating, Triage
- Abstract
Introduction During a refugees' mass-gathering incident in Kos Island, Greece, Médecins Sans Frontières (MSF; Brussels, Belgium) teams provided emergency medical care. A case report of the event focusing on difficulties encountered by the interpreters during triage and emergency response was prepared., Methods: Data collected during the event were reviewed from the patient's register and qualitative interviews were obtained from the MSF interpreters involved in the response. In addition, a description of the event and a literature review were included., Results: Total consultations were 49 patients, mainly from Syria, with an average age of 25 years. During triage, 20 patients were tagged green with only minor injuries; 11 patients were tagged yellow, mostly due to heat exhaustion, but also a hypertensive crisis, a diabetic, a pregnant woman with abdominal pain, and a peptic ulcer exacerbation. The remaining 18 patients were tagged red and diagnosed with heat syncope, except from a case of epileptic seizures and an acute chest pain patient. Interpreters were insufficient in number to accompany each doctor and every nurse providing care during the event. In addition, they were constantly disturbed by both refugees and fellow medical team members demanding their service. Interpreters had to triage and prioritize where to go and for whom to interpret., Conclusion: Interpreters are an integral part of a proper refugee reception system. They should be included in authorities planning where mass gatherings of refugees are expected. Appropriate training may be needed for interpreters to develop skills useful in mass gatherings and similar prehospital settings in order to better coordinate with the medical team. Alexakis LC Papachristou A Baruzzi C Konstantinou A . The use of interpreters in medical triage during a refugee mass-gathering incident in Europe. Prehosp Disaster Med. 2017;32(6):684-687.
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- 2017
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29. Cortical sources of awake scalp EEG in eating disorders.
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Rodriguez G, Babiloni C, Brugnolo A, Del Percio C, Cerro F, Gabrielli F, Girtler N, Nobili F, Murialdo G, Rossini PM, Rossi DS, Baruzzi C, and Ferro AM
- Subjects
- Adolescent, Adult, Analysis of Variance, Brain Mapping, Child, Female, Humans, Spectrum Analysis, Statistics, Nonparametric, Tomography methods, Anorexia Nervosa physiopathology, Bulimia Nervosa physiopathology, Cerebral Cortex physiopathology, Electroencephalography, Scalp
- Abstract
Objective: To investigate quantitative EEG (qEEG) in anorexia nervosa (AN) and bulimia nervosa (BN) in comparison with healthy controls., Methods: Resting EEG was recorded in 30 healthy females (age: 27.1+/-5.5), 16-AN females (age: 26.4+/-9.5) and 12-BN females (age: 27.0+/-6.3). Cortical EEG sources (delta, theta, alpha 1, alpha 2, beta 1, beta 2) were modeled by LORETA solutions. The statistical analysis was performed considering the factors Group, power Band, and region of interest (central, frontal, parietal, occipital, temporal, limbic)., Results: Alpha 1 sources in central, parietal, occipital and limbic areas showed a greater amplitude in Controls versus AN and BN groups. Alpha 2 sources in parietal, occipital and limbic areas showed a greater amplitude in Controls than in both AN and BN groups. Alpha 1 sources in temporal area showed a greater amplitude in Controls compared to both the BN and AN groups as well as in the BN group compared to AN group. Central alpha 1 source correlated significantly with BMI in patients., Conclusions: These results support the hypothesis that eating disorders are related to altered mechanisms of cortical neural synchronization, especially in rolandic alpha rhythms., Significance: To our knowledge this is the first study by LORETA able to detect modifications of cortical EEG activity in eating disorders.
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- 2007
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30. Rod ERG diurnal rhythm in some patients with dominant retinitis pigmentosa.
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Sandberg MA, Baruzzi CM, Hanson AH 3rd, and Berson EL
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- Adult, Electroretinography, Humans, Circadian Rhythm, Photoreceptor Cells physiopathology, Retinitis Pigmentosa physiopathology
- Abstract
Five patients with dominant retinitis pigmentosa who were monocularly entrained to a 14 hr light: 10 hr dark cycle showed an abnormal diurnal rhythm in the rod electroretinogram of the entrained eye. These patients as a group showed larger-than-normal reductions in b-wave sensitivity 1.5 hr and 8 hr after light onset relative to other times of day. The findings raise the possibility that these patients have an abnormality in rod photoreceptor function associated with the process of outer segment renewal.
- Published
- 1988
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