Entries

Sandoval-Belmar, M., J. Smith, A.R. Moreno, C. Anderson, R.M. Kudela, M. Sutula, F. Kessouri, D.A. Caron, F.P. Chavez, and D. Bianchi. 2023

Sandoval-Belmar, M., J. Smith, A.R. Moreno, C. Anderson, R.M. Kudela, M. Sutula, F. Kessouri, D.A. Caron, F.P. Chavez, and D. Bianchi. 2023. A cross-regional examination of patterns and environmental drivers of Pseudo-nitzschia harmful algal blooms along the California coast. Harmful Algae (in press) [discusses Pseudo-nitzschia spp., domoic acid]

Vianna, L.F.N., R.V. de Souza, M.A. Schramm, and T.P. Alves. 2023

Vianna, L.F.N., R.V. de Souza, M.A. Schramm, and T.P. Alves. 2023. Using climate reanalysis and remote sensing-derived data to create the basis for predicting the occurrence of algal blooms, harmful algal blooms and toxic events in Santa Catarina, Brazil. Sci. Total Environ. 880: 163086. [includes Pseudo-nitzschia spp.]

Ferrari, M., L. Barra, L. Ruffolo, A. Muto, C. Galasso, I. Percopo, S. Greco, and R. Cozza. 2023

Ferrari, M., L. Barra, L. Ruffolo, A. Muto, C. Galasso, I. Percopo, S. Greco, and R. Cozza. 2023. Identification of Pseudo-nitzschia cryptic species collected in the Gulf of Naples using whole-cell fluorescent in situ hybridization: from cultured sample to field test. Diversity 15: 521. [discusses P. allochrona, P. arenysensis, P. calliantha, P. delicatissima, P. dolorosa, P. fraudulenta, P. galaxiae, P. multistriata, P. pseudodelicatissima]

Williams, D.C., M. Haulena, S. Dennison, L. Waugh, T. Goldstein, F. Nutter, B. Van Bonn, V. Hoard, K.D. Laxer, P.S. Buckmaster, F.M.D. Gulland, and B. Tharp. 2023

Williams, D.C., M. Haulena, S. Dennison, L. Waugh, T. Goldstein, F. Nutter, B. Van Bonn, V. Hoard, K.D. Laxer, P.S. Buckmaster, F.M.D. Gulland, and B. Tharp. 2023. Pinniped electroencephalography: methodology and findings in California sea lions (Zalophus californianus). Front. Vet. Sci. 10: 1040125. [discusses domoic acid]

Vianna, L.F.N., R.V. de Souza, M.A. Schramm, and T.P. Alves. 2023

Vianna, L.F.N., R.V. de Souza, M.A. Schramm, and T.P. Alves. 2023. Using climate reanalysis and remote sensing-derived data to create the basis for predicting the occurrence of algal blooms, harmful algal blooms and toxic events in Santa Catarina, Brazil. Sci. Total Environ. (in press) [includes Pseudo-nitzschia spp.]