How to Cite
Downloads
Métricas Alternativas
Dimensions
Abstract
The classification based on traits and functional groups of phytoplankton proposed by Kruk et al., (2010) allowed a feasible and objective approach in the evaluation of six tropical systems of different types, origin, shape, size and limnological condition in relation to the variation of the morphology of phytoplankton in response to the environment. This study established the morphological variability of phytoplankton associated with physical, chemical and climatic characteristics in six systems with different environmental conditions, belonging to the Amazonian, Andean and Caribbean areas of Colombia. The samples were taken in the limnetic area establishing between two and eight stations during three to four climatic periods in an annual series between 2005 and 2007. The identified taxa are included in one or another GFBM using a "script" designed by Kruk and Segura (2011). The inclusion of the groups was based on the morphological dimensions and the presence of special characteristics of each taxon. Group V excelled in shallow and turbid environments, except for the plain of the Caribbean Bajo Sinú where Group VII dominated. In the deep and high transparency lake of high mountain, the outstanding groups correspond to Group IV and Group VII. The groups proposed by the classification of Kruk et al. (2010) were useful and objective as a tool for the study of the assembly of phytoplankton because they significantly explained the variation of phytoplankton morphology in response to the environment.
Keywords
References
Abonyi A., Leitão M., Stanković I., Borics G., Várbíró G., Padisák J. (2014) A large river (River Loire, France) survey to compare phytoplankton functional approaches: Do they display river zones in similar ways? Ecological Indicators. 46: 11-22.
Benincà, E., Ballantine, B., Ellner, S. P., Huisman, J. (2015). Species fluctuations sustained by a cyclic succession at the edge of chaos. Proceedings of the National Academy of Sciences. 112 (20): 6389-6394.
Bonilla, S., Villeneuve, V., Vincent W.F. (2005). Benthic and planktonic algal communities in a high Arctic lake: Pigment structure and contrasting responses to nutrient enrichment. Journal of Phycology. 41: 1120-1130.
Borics, G., Várbíró, G., Grigorszky, I., Krasznai, E., Szabó, S., Kiss, K. (2007). A new evaluation technique of potamo-plankton for the assessment of the ecological status of rivers. Archiv für Hydrobiologie (Supplement). 161: 465-486.
Bouvy, M., Ngansoumana, B., Samba, K., Sane, S., Pagano, M., Arfi, R. (2006). Phytoplankton community structure and species assemblage succession in a shallow tropical lake (Lake Guiers, Senegal). Aquat Microb Ecol. 45: 147-161.
Descy, J.P., Reynolds, C.S., Padisák, J. (1994). Phytoplankton in turbid environments: Rivers and shallow lakes. Developments in Hydrobiology. p. 65-73.
Donato J., González l., Rodríguez C. (1996). Ecología de dos sistemas acuáticos de páramo. Facultad de ciencias – Departamento de Biología, Pontificia Universidad Javeriana.
Hernández, E., Aguirre, N., Palacio, J. (2011) Relación entre la determinación del pigmento clorofila a y el biovolumen geométrico algal en un lago de planicie de inundación (Ciénaga de Ayapel, Córdoba-Colombia). Rev. Fac. Ing. Univ. Antioquia. 60: 159-169.
Hutchinson, G.E. (1967). A Treatise on Limnology, Vol. II. Introduction to Lake Biology and the Limnoplankton. John Wiley & Sons, New York. p. 472-474.
Kattge, J., Ogle, K., Bönisch, G., Díaz, S., Lavorel, S., Madin, J., Nadrowski, K., Nöllert, S., Sartor, K., Wirth, C. (2011). A generic structure for plant trait databases Methods Ecol. 2:202-213.
Kirk, J. T. O. (1994). Light and Photosynthesis in Aquatic Ecosystems, 2nd edition. Cambridge University Press, Cambridge, Massachusetts. p. 46-84.
Kruk, C & Segura, A. M. (2012). The habitat template of phytoplankton morphology-based functional groups. Hydrobiologia. 698: 191-202.
Kruk, C., Huszar, V.L.M., Peeters, E., Bonilla, S., Costa, L., Lürling, M., Reynolds, C.S., Scheffer, M. (2010). A morphological classification capturing functional variation in phytoplankton. Freshwater Biology. 55 (3): 614-627.
Kruk, C., Mazzeo, N., Lacerot, G., Reynolds, C.S. (2002). Classification schemes for phytoplankton: A local validation of a functional approach to the analysis of species temporal replacement. Journal of Plankton Research. 24: 901-912.
Lehman, J.T. (1991). Selective herbivory and its role in the evolution of phytoplankton growth strategies. In: Growth and Reproductive Strategies of Freshwater Phytoplankton. Eds. C.D. Sandgren. Cambridge University Press, Cambridge. p. 369-387.
Lewis, W. (1976). Surface ⁄volume ratio: Implications for phytoplankton morphology. Science. 192: 885-887.
Margalef, R. (1958). Temporal succession and spatial heterogeneity in phytoplankton. Perspectives in Marine Biology. Ed. A. A. Buzzati-Traverso, pp. 323-349. University of California Press, Berkeley.
Menezes, S., Baird, D. J., Soares, A. M. (2010). Beyond taxonomy: A review of macroinvertebrate trait‐based community descriptors as tools for freshwater biomonitoring. Journal of Applied Ecology. 47 (4): 711-719.
Mieleitner, J., Borsuk M., Bürgi H.-R., Reichert P. (2008). Identifying functional groups of phytoplankton using data from three lakes of different trophic state. Aquatic Sciences. 70:30-46.
Muñoz-López, C. L., Aranguren-Riaño, N. J., Duque, S. R. (2017). Functional morphology of phytoplankton in a tropical high mountain lake: Tota Lake (Boyaca, Colombia). Revista de Biología Tropical. 65 (2): 669-683.
Naselli-Flores, L., Padisák, J., Albay, M. (2007) Shape and size in phytoplankton ecology: Do they matter? Hydrobiologia. 578: 157-161.
Pinilla, G. (2006). Evaluación de la eficiencia fotosintética del fitoplancton en un lago amazónico (Lago Boa) y en un lago andino (Lago Guatavita). Acta amazónica. 36 (2): 221-228.
Ptacnik, R., Solimini, A. G., Andersen, T., Tamminen, T., Brettum, P., Lepistö, L., Willén E., Rekolainen, S. (2008). Diversity predicts stability and resource use efficiency in natural phytoplankton communities. Proceedings of the National Academy of Sciences. 105 (13):5134-5138.
Qu, Y., Wu, N., Guse, B., Makarevičiūtė, K., Sun, X., Fohrer, N. (2019). Riverine phytoplankton functional groups response to multiple stressors variously depending on hydrological periods. Ecological Indicators. 101: 41-49.
Reynolds, C. S. (1995). Successional development, energetics and diversity in planktonic communities. Biodiversity, an ecological perspective. Eds. T. Abe, S. A. Levin and M. Higashi. p. 167-203.
Reynolds, C. S. (1997). Vegetation processes in the Pelagic: A model for ecosystem theory. Excellence in ecology, vol. 9. Ecology Institute, Oldendorf Lake, Germany. p. 228.
Reynolds, C.S. (1984) a. Phytoplankton periodicity: Interactions of form, function and environmental variability. Freshwater Biology. 14: 111-142.
Reynolds, C.S. (1984). The Ecology of Freshwater Phytoplankton, Cambridge University Press, Cambridge. p. 46-71.
Reynolds, C.S. (2007). Variability in the provision and function of mucilage in phytoplankton: Facultative responses to the environment. Hydrobiologia. 578: 37-45.
Reynolds, C.S. (1988). Functional morphology and the adaptive strategies of freshwater phytoplankton. In: C. D. Sandgren (Ed.). Growth and Reproductive Strategies of Freshwater Phytoplankton, Cambridge University Press, Cambridge. p. 388-433.
Reynolds, C.S., Huszar, V.L.M., Kruk, J., Naselli-Flores, L., Melo, S. (2002). Towards a functional classification on the freshwater phytoplankton. Journal of Plankton Research. 24: 417-428.
Rosati, I., Bergami, C., Stanca, E., Roselli, L., Tagliolato, P., Oggioni, A., Fiore N., Pugnetti, A., Zignone, A., Boggero, A., Basset, A. (2017). A thesaurus for phytoplankton trait-based approaches: Development and applicability. Ecological Informatics. 42: 129-138.
Rousseaux, C. & Gregg, W. (2014). Interannual variation in phytoplankton primary production at a global scale. Remote Sensing. 6 (1): 1-19.
Salmaso, N., Naselli‐Flores, L., Padisak, J. (2015). Functional classifications and their application in phytoplankton ecology. Freshwater Biology. 60 (4): 603-619.
Salmaso, N. & Padisak, J. (2007). Morpho-functional groups and phytoplankton development in two deep lakes (Lake Garda, Italy, and lake Stechlin, Germany). Hydrobilogia. 578: 97-112.
Sommer, U. (1985). Comparison between steady state and non-steady state competition: Experiments with natural phytoplankton. Limnol Oceanogr. 30: 335-346.
Sommer, U. (Ed.). (2012). Plankton ecology: Succession in plankton communities. Springer Science & Business Media. Berlin, New York. p. 104.
Sterner, R.W. & Elser J.J. (2002) Ecological Stoichiometry: The Biology of Elements from Molecules to the Biosphere, Princeton University Press, Princeton, NJ. p. 262-267.
Ter-Braak, C. J. (1995). Ordination. In Jongman, R. H., ter Braak, C. J. and Van Tongeren, O. F. (Eds.). Data Analysis in Community and Landscape Ecology. Cambridge University Press, Cambridge. p. 91-173.
Ter Braak, C.J.F. & Ŝmilauer, P. (1998). CANOCO Reference Manual and User’s Guide to Canoco for Windows: Software for Canonical Community Ordination. Microcomputer Power, New York.
Uehlinger, V. (1964). Étude statistique des Méthodes de dénombrement planctonique. Archives des sciences. 17 (2): 121-223.
Utermöhl, H. (1958). Zur Vervollkommnung der quantitativen Phytoplankton Methodik. Mitt Int Ver Limnol. 9: 1-38. Violle, C., Navas, M.L., Vile, D., Kazakou, E., Fortunel, C., Hummel, I., Garnier, E. (2007). Let the concept of trait be functional. Oikos. 16: 882-892.
Zabala, A., Hernández, E., Agudelo, A., Aguirre, N., Vélez, F. (2019). Variación temporal de la morfología funcional del fitoplancton en una planicie inundable del Caribe Colombiano. Biota Colombiana. 20 (2): 2-19. Doi: 10.21068/c2019.v20n02a01
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Copyright (c) 2020 Revista de la Academia Colombiana de Ciencias Exactas, Físicas y Naturales