Improved biovolume estimation of Microcystis aeruginosa colonies: A statistical approach
The Microcystis aeruginosa complex (MAC) clusters many of the most common freshwater and brackish bloom-forming cyanobacteria. In monitoring protocols, biovolume estimation is a common approach to determine MAC colonies biomass and useful for prediction purposes. Biovolume (μm3 mL−1) is calculated m...
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| Otros Autores: | , , , , , |
| Formato: | Capítulo de libro |
| Lenguaje: | Inglés |
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Elsevier B.V.
2018
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| Acceso en línea: | Registro en Scopus DOI Handle Registro en la Biblioteca Digital |
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| 003 | AR-BaUEN | ||
| 005 | 20241125131316.0 | ||
| 008 | 190410s2018 xx ||||fo|||| 00| 0 eng|d | ||
| 024 | 7 | |2 scopus |a 2-s2.0-85048475441 | |
| 030 | |a JMIMD | ||
| 040 | |a Scopus |b spa |c AR-BaUEN |d AR-BaUEN | ||
| 100 | 1 | |a Alcántara, I. | |
| 245 | 1 | 0 | |a Improved biovolume estimation of Microcystis aeruginosa colonies: A statistical approach |
| 260 | |b Elsevier B.V. |c 2018 | ||
| 270 | 1 | 0 | |m Alcántara, I.; Departamento de Microbiología, Instituto de Investigaciones Biológicas Clemente Estable, MEC, Avenida Italia 3318, Uruguay; email: nalcann@gmail.com |
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| 506 | |2 openaire |e Política editorial | ||
| 520 | 3 | |a The Microcystis aeruginosa complex (MAC) clusters many of the most common freshwater and brackish bloom-forming cyanobacteria. In monitoring protocols, biovolume estimation is a common approach to determine MAC colonies biomass and useful for prediction purposes. Biovolume (μm3 mL−1) is calculated multiplying organism abundance (orgL−1) by colonial volume (μm3org−1). Colonial volume is estimated based on geometric shapes and requires accurate measurements of dimensions using optical microscopy. A trade-off between easy-to-measure but low-accuracy simple shapes (e.g. sphere) and time costly but high-accuracy complex shapes (e.g. ellipsoid) volume estimation is posed. Overestimations effects in ecological studies and management decisions associated to harmful blooms are significant due to the large sizes of MAC colonies. In this work, we aimed to increase the precision of MAC biovolume estimations by developing a statistical model based on two easy-to-measure dimensions. We analyzed field data from a wide environmental gradient (800 km) spanning freshwater to estuarine and seawater. We measured length, width and depth from ca. 5700 colonies under an inverted microscope and estimated colonial volume using three different recommended geometrical shapes (sphere, prolate spheroid and ellipsoid). Because of the non-spherical shape of MAC the ellipsoid resulted in the most accurate approximation, whereas the sphere overestimated colonial volume (3–80) especially for large colonies (MLD higher than 300 μm). Ellipsoid requires measuring three dimensions and is time-consuming. Therefore, we constructed different statistical models to predict organisms depth based on length and width. Splitting the data into training (2/3) and test (1/3) sets, all models resulted in low training (1.41–1.44%) and testing average error (1.3–2.0%). The models were also evaluated using three other independent datasets. The multiple linear model was finally selected to calculate MAC volume as an ellipsoid based on length and width. This work contributes to achieve a better estimation of MAC volume applicable to monitoring programs as well as to ecological research. © 2018 Elsevier B.V. |l eng | |
| 536 | |a Detalles de la financiación: Convoctoria 2014 | ||
| 536 | |a Detalles de la financiación: Facultad de Ciencias, Universidad de los Andes | ||
| 536 | |a Detalles de la financiación: We thank to Asociación Honoraria de Salvamentos Marítimos y Fluviales (ADES) and to Comisión Técnico-Mixta de Salto Grande (CTM-Salto Grande) for their valuable help in samplings campaigns. This study was supported by ANII-LATU and Comisión Administradora del Río Uruguay (CARU) ( Beca de grado, Convoctoria 2014 ). This work was carried out in partial fulfillment of the requirements of I. Alcántara for the Biological Sciences degree from Facultad de Ciencias (Universidad de la República, Uruguay). | ||
| 593 | |a Sección Limnología, IECA, Universidad de la República, Iguá 4225, Montevideo, 11400, Uruguay | ||
| 593 | |a Ecología Funcional de Sistemas Acuáticos, CURE-Rocha, Universidad de la República, Ruta nacional Nª 9, Rocha, PC 27000, Uruguay | ||
| 593 | |a Departamento de Microbiología, Instituto de Investigaciones Biológicas Clemente Estable, MEC, Avenida Italia 3318, Montevideo, 11600, Uruguay | ||
| 593 | |a Modelización y Análisis de Recursos Naturales, CURE-Rocha, Universidad de la República, Ruta nacional Nª 9, Rocha, PC 27000, Uruguay | ||
| 593 | |a Laboratorio de Limnología, DEGE, Exactas y Naturales, UBA – Centro de Investigaciones, Agua y Saneamientos Argentinos, Int Güiraldes 2160, Buenos Aires, 1428, Argentina | ||
| 690 | 1 | 0 | |a CYANOBACTERIA MONITORING |
| 690 | 1 | 0 | |a HARMFUL ALGAL BLOOMS |
| 690 | 1 | 0 | |a MACHINE LEARNING |
| 690 | 1 | 0 | |a PHYTOPLANKTON COUNTING |
| 690 | 1 | 0 | |a BRACKISH WATER |
| 690 | 1 | 0 | |a FRESH WATER |
| 690 | 1 | 0 | |a SEA WATER |
| 690 | 1 | 0 | |a ARTICLE |
| 690 | 1 | 0 | |a AUTUMN |
| 690 | 1 | 0 | |a BACTERIUM COLONY |
| 690 | 1 | 0 | |a BACTERIUM DETECTION |
| 690 | 1 | 0 | |a BIOMASS |
| 690 | 1 | 0 | |a ENVIRONMENTAL MONITORING |
| 690 | 1 | 0 | |a MICROCYSTIS AERUGINOSA |
| 690 | 1 | 0 | |a NONHUMAN |
| 690 | 1 | 0 | |a PRIORITY JOURNAL |
| 690 | 1 | 0 | |a SEASONAL VARIATION |
| 690 | 1 | 0 | |a SPRING |
| 690 | 1 | 0 | |a STATISTICAL MODEL |
| 690 | 1 | 0 | |a WINTER |
| 700 | 1 | |a Piccini, Claudia | |
| 700 | 1 | |a Segura Castillo, Angel Manuel | |
| 700 | 1 | |a Deus, S. | |
| 700 | 1 | |a González, C. | |
| 700 | 1 | |a Martínez de la Escalera, Gabriela | |
| 700 | 1 | |a Kruk Gencarelli, Carla Cecilia | |
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