Registro:

Referencias:

• Agostinho, A.A., Pelicice, F.M., Petry, A.C., Gomes, L.C., Júlio, H.F., Fish diversity in the upper Paraná River basin: habitats, fisheries, management and conservation (2007) Aquat. Ecosyst. Health Manag., 10, pp. 174-186
• Armon, R.H., Starosvetsky, J., Armon, R.H., Hänninen, O., Algal bloom indicators (2015) Environmental Indicators, pp. 633-642. , Springer Netherlands Dordrecht
• Bertani, I., Steger, C.E., Obenour, D.R., Fahnenstiel, G.L., Bridgeman, T.B., Johengen, T.H., Sayers, M.J., Scavia, D., Tracking cyanobacteria blooms: do different monitoring approaches tell the same story? (2017) Sci. Total Environ., 575, pp. 294-308
• Bonetto, A., Neiff, J., Di Persia, D., The Paraná river system (1986) The Ecology of River Systems, pp. 541-598. , Springer
• Breiman, L., Random forests (2001) Mach. Learn., 45, pp. 5-32
• Bridgeman, T.B., Chaffin, J.D., Filbrun, J.E., A novel method for tracking western Lake Erie Microcystis blooms, 2002–2011 (2013) J. Great Lakes Res., 39, pp. 83-89
• Bullerjahn, G.S., McKay, R.M., Davis, T.W., Baker, D.B., Boyer, G.L., D'Anglada, L.V., Doucette, G.J., Wilhelm, S.W., Global solutions to regional problems: collecting global expertise to address the problem of harmful cyanobacterial blooms. A Lake Erie case study (2016) Harmful Algae, 54, pp. 223-238
• Calliari, D., Gómez, M., Gómez, N., Biomass and composition of the phytoplankton in the Río de la Plata: large-scale distribution and relationship with environmental variables during a spring cruise (2005) Cont. Shelf Res., 25, pp. 197-210
• Chalar, G., The use of phytoplankton patterns of diversity for algal bloom management (2009) Limnologica-Ecol. Manag. Inland Waters, 39, pp. 200-208
• Chorus, I., Current Approaches to Cyanotoxin Risk Assessment, Risk Management and Regulations in Different Countries (2012), pp. 63-2012. , Federal Environmental Agency (Umweltbundesamt) Germany, Dessau; Chorus, I., Bartram, J., (1999) Toxic Cyanobacteria in Water: A Guide to their Public Health Consequences, Monitoring, and Management, , (Eds.) E & FN Spon London New York
• Dreiseitl, S., Ohno-Machado, L., Logistic regression and artificial neural network classification models: a methodology review (2002) J. Biomed. Inform., 35, pp. 352-359
• Ferrari, G., del Carmen Perez, M., Dabezies, M., Miguez, D., Saizar, C., Planktic cyanobacteria in the lower Uruguay River, South America (2011) FOTTEA, 11, pp. 225-234
• Gandola, E., Antonioli, M., Traficante, A., Franceschini, S., Scardi, M., Congestri, R., ACQUA: automated cyanobacterial quantification algorithm for toxic filamentous genera using spline curves, pattern recognition and machine learning (2016) J. Microbiol. Methods, 124, pp. 48-56
• Grömping, U., Variable importance assessment in regression: linear regression versus random forest (2009) Am. Stat., 63, pp. 308-319
• Guerrero, R.A., Acha, E.M., Lasta, C.A., Physical oceanography of the Río de la Plata estuary, Argentina (1997) Cont. Shelf Res., 17, pp. 727-742
• Hastie, T., Tibshirani, R., Friedman, J., Overview of supervised learning (2009) The Elements of Statistical Learning, pp. 9-41. , Springer
• Hawkins, P.R., Holliday, J., Kathuria, A., Bowling, L., Change in cyanobacterial biovolume due to preservation by Lugol's Iodine (2005) Harmful Algae, 4, pp. 1033-1043
• Hillebrand, H., Dürselen, C.-D., Kirschtel, D., Pollingher, U., Zohary, T., Biovolume calculation for pelagic and benthic microalgae (1999) J. Phycol., 35, pp. 403-424
• Jakobsen, H., Carstensen, J., FlowCAM: sizing cells and understanding the impact of size distributions on biovolume of planktonic community structure (2011) Aquat. Microb. Ecol., 65, pp. 75-87
• James, G., Witten, D., Hastie, T., Tibshirani, R., An introduction to statistical learning (2013) Springer Texts in Statistics, , Springer New York New York, NY
• Joung, S., Kim, C., Ahn, C., Jang, K., Boo, S.M., Oh, H., Simple method for a cell count of the colonial cyanobacterium, Microcystis sp (2006) J. Microbiol.-Seoul, 44, p. 562
• Komárek, J., Komárková, J., Review of the European microcystis-morphospecies (Cyanoprokaryotes) from nature (2002) Czech Phycol. Olomouc, 2, pp. 1-24
• Kruk, C., Segura, A.M., Nogueira, L., Alcántara, I., Calliari, D., Martínez de la Escalera, G., Carballo, C., Piccini, C., A multilevel trait-based approach to the ecological performance of Microcystis aeruginosa complex from headwaters to the ocean (2017) Harmful Algae, 70, pp. 23-36
• Kudela, R.M., Palacios, S.L., Austerberry, D.C., Accorsi, E.K., Guild, L.S., Torres-Perez, J., Application of hyperspectral remote sensing to cyanobacterial blooms in inland waters (2015) Remote Sens. Environ., 167, pp. 196-205
• Lehman, P.W., Boyer, G., Hall, C., Waller, S., Gehrts, K., Distribution and toxicity of a new colonial Microcystis aeruginosa bloom in the San Francisco Bay Estuary, California (2005) Hydrobiologia, 541, pp. 87-99
• Lehman, P.W., Teh, S.J., Boyer, G.L., Nobriga, M.L., Bass, E., Hogle, C., Initial impacts of Microcystis aeruginosa blooms on the aquatic food web in the San Francisco Estuary (2010) Hydrobiologia, 637, pp. 229-248
• Liaw, A., Wiener, M., Classification and Regression by randomForest (2002), 2, pp. 18-22. , R news; Lyakh, A., The Free Form Deformation of Phytoplankton Models (2002) Computational Science—ICCS 2002: International Conference Amsterdam, the Netherlands, April 21–24, 2002 Proceedings, Part III, pp. 194-201. , P.M.A. Sloot A.G. Hoekstra C.J.K. Tan J.J. Dongarra Springer Berlin Heidelberg Berlin, Heidelberg
• Lyakh, A., A new method for accurate estimation of diatom biovolume and surface area (2007), pp. 113-116. , Botanic Garden and Botanical Museum Berlin-Dahlem; Martínez de la Escalera, G., Kruk, C., Segura, A.M., Nogueira, L., Alcántara, I., Piccini, C., Dynamics of toxic genotypes of Microcystis aeruginosa complex (MAC) through a wide freshwater to marine environmental gradient (2017) Harmful Algae, 62, pp. 73-83
• Medeiros Fonseca, B., Ferragut, C., Tucci, A., Crossetti, L.O., Ferrari, F., de Campos Bicudo, D., Sant'Anna, C.L., de Mattos Bicudo, C.E., Biovolume De Cianobactérias E Algas De Reservatórios Tropicais Do Brasil Com Diferentes Estados Tróficos (2014), 41, pp. 9-30; Mituleţu, M., Drugă, B., Hegedus, A., Coman, C., Dragoş, N., Phylogenetic analysis of Microcystis strains (Cyanobacteria) based on the 16S-23S its and cpcBA-IGS markers (2013) Ann. RSCB, 18
• Moberg, E.A., Sosik, H.M., Distance maps to estimate cell volume from two-dimensional plankton images: distance map cell volume algorithm (2012) Limnol. Oceanogr. Methods, 10, pp. 278-288
• Moss, B., Kosten, S., Meerhoff, M., Battarbee, R.W., Jeppesen, E., Mazzeo, N., Havens, K., Scheffer, M., Allied attack: climate change and eutrophication (2011) Inland Waters, 1, pp. 101-105
• Napiórkowska-Krzebietke, A., Kobos, J., Assessment of the cell biovolume of phytoplankton widespread in coastal and inland water bodies (2016) Water Res., 104, pp. 532-546
• Olenina, I., Biovolumes and Size-Classes of Phytoplankton in the Baltic Sea (2006); Otsuka, S., Suda, S., Li, R., Watanabe, M., Oyaizu, H., Matsumoto, S., Watanabe, M.M., Characterization of morphospecies and strains of the genus Microcystis (Cyanobacteria) for a reconsideration of species classification (1999) Phycol. Res., 47, pp. 189-197
• Otsuka, S., Suda, S., Li, R., Matsumoto, S., Watanabe, M.M., Morphological variability of colonies of Microcystis morphospecies in culture (2000) J. Gen. Appl. Microbiol., 46, pp. 39-50
• Paerl, H.W., Huisman, J., Climate change: a catalyst for global expansion of harmful cyanobacterial blooms (2009) Environ. Microbiol. Rep., 1, pp. 27-37
• Piñeiro, G., Perelman, S., Guerschman, J.P., Paruelo, J.M., How to evaluate models: observed vs. predicted or predicted vs. observed? (2008) Ecol. Model., 216, pp. 316-322
• Pobel, D., Robin, J., Humbert, J.-F., Influence of sampling strategies on the monitoring of cyanobacteria in shallow lakes: lessons from a case study in France (2011) Water Res., 45, pp. 1005-1014
• R Core Team, R: A Language and Environment for Statistical Computing (2016), R Foundation for Statistical Computing Vienna, Austria; Reynolds, C.S., Variability in the provision and function of mucilage in phytoplankton: facultative responses to the environment (2007) Hydrobiologia, 578, pp. 37-45
• Reynolds, C.S., Jaworski, G.H.M., Enumeration of natural Microcystis populations (1978) Br. Phycol. J., 13, pp. 269-277
• Reynolds, C.S., Jaworski, G.H.M., Cmiech, H.A., Leedale, G.F., On the annual cycle of the blue-green alga Microcystis aeruginosa kutz. Emend. Elenkin (1981), 293, pp. 419-477. , Philosophical Transactions of the Royal Society of London. Series B, Biological Sciencies; Reynolds, C.S., Huszar, V., Kruk, C., Naselli-Flores, L., Melo, S., Towards a functional classification of the freshwater phytoplankton (2002) J. Plankton Res., 24, pp. 417-428
• Rigonato, J., Sant'Anna, C.L., Giani, A., Azevedo, M.T.P., Gama, W.A., Viana, V.F.L., Fiore, M.F., Werner, V.R., Sphaerocavum: a coccoid morphogenus identical to microcystis in terms of 16S rDNA and ITS sequence phylogenies (2017) Hydrobiologia
• Roselli, L., Paparella, F., Stanca, E., Basset, A., New data-driven method from 3D confocal microscopy for calculating phytoplankton cell: Calculating phytoplankton cell biovolume (2015) J. Microsc., 258, pp. 200-211
• Rott, E., Salmaso, N., Hoehn, E., Quality control of Utermöhl-based phytoplankton counting and biovolume estimates—an easy task or a Gordian knot? (2007) Hydrobiologia, 578, pp. 141-146
• Saccà, A., Methods for the estimation of the biovolume of microorganisms: a critical review: methods biovolume of microorganisms (2017) Limnol. Oceanogr. Methods, 15, pp. 337-348
• Segura, A.M., Piccini, C., Nogueira, L., Alcántara, I., Calliari, D., Kruk, C., Increased sampled volume improves Microcystis aeruginosa complex (MAC) colonies detection and prediction using random forests (2017) Ecol. Indic., 79, pp. 347-354
• Shen, H., Niu, Y., Xie, P., Tao, M., Yang, X., Morphological and physiological changes in microcystis aeruginosa as a result of interactions with heterotrophic bacteria: microcystis-heterotrophic bacterial community interactions (2011) Freshw. Biol., 56, pp. 1065-1080
• Sukenik, A., Quesada, A., Salmaso, N., Global expansion of toxic and non-toxic cyanobacteria: effect on ecosystem functioning (2015) Biodivers. Conserv., 24, pp. 889-908
• Sun, J., Liu, D., Geometric models for calculating cell biovolume and surface area for phytoplankton (2003) J. Plankton Res., 25, pp. 1331-1346
• Therneau, T., Atkinson, B., Ripley, B., rpart: Recursive Partitioning and Regression Trees No. R package version (2015), 4, pp. 1-10; Trainer, V., Hardy, F., Integrative monitoring of marine and freshwater harmful algae in Washington state for public health protection (2015) Toxins, 7, pp. 1206-1234
• Vadrucci, M., Cabrini, M., Basset, A., Biovolume determination of phytoplankton guilds in transitional water ecosystems of Mediterranean Ecoregion (2007) Transit. Waters Bull., 1, pp. 83-102
• Vadrucci, M.R., Mazziotti, C., Fiocca, A., Cell biovolume and surface area in phytoplankton of Mediterranean transitional water ecosystems: methodological aspects (2013) Transit. Waters Bull., 7, pp. 100-123
• van Gremberghe, I., Leliaert, F., Mergeay, J., Vanormelingen, P., Van der Gucht, K., Debeer, A.-E., Lacerot, G., Vyverman, W., Lack of Phylogeographic structure in the freshwater cyanobacterium Microcystis aeruginosa suggests global dispersal (2011) PLoS One, 6
• Vidal, L., Fabre, A., Gabito, L., Kruk, C., Gravier, A., Britos, A., del Carmen Péres, M., Bonilla, S., Fichas de identificación de las especies (2009) Cianobacterias Planctónicas Del Uruguay. Manual Para La Identificación Y Medidas de Gestión., Documento Tecnico PHI-LAC, , S. Bonilla UNESCO Uruguay
• Wang, C., Wu, X., Tian, C., Li, Q., Tian, Y., Feng, B., Xiao, B., A quantitative protocol for rapid analysis of cell density and size distribution of pelagic and benthic Microcystis colonies by FlowCAM (2015) J. Appl. Phycol., 27, pp. 711-720
• Wickham, H., ggplot2: Elegant Graphics for Data Analysis (2016), Springer New York; Wu, Z., Song, L., Physiological comparison between colonial and unicellular forms of Microcystis aeruginosa Kütz.(Cyanobacteria) (2008) Phycologia, 47, pp. 98-104
• Zhang, M., Kong, F., Tan, X., Yang, Z., Cao, H., Xing, P., Biochemical, morphological, and genetic variations in Microcystis aeruginosa due to colony disaggregation (2007) World J. Microbiol. Biotechnol., 23, pp. 663-670
• Zhu, W., Li, M., Luo, Y., Dai, X., Guo, L., Xiao, M., Huang, J., Tan, X., Vertical distribution of Microcystis colony size in Lake Taihu: its role in algal blooms (2014) J. Great Lakes Res., 40, pp. 949-955

Citas:

---------- APA ----------

---------- CHICAGO ----------

---------- MLA ----------

---------- VANCOUVER ----------