Rodríguez-López L., Usta D. F. B., Alvarez L. B., Duran-Llacer I., Bourrel Luc, Frappart F., Cardenas R., Urrutia R. (2024). Algal pigment estimation models to assess bloom toxicity in a South American lake. Water, 16 (24), p. 3708 [15 p.].
Titre du document
Algal pigment estimation models to assess bloom toxicity in a South American lake
Année de publication
2024
Auteurs
Rodríguez-López L., Usta D. F. B., Alvarez L. B., Duran-Llacer I., Bourrel Luc, Frappart F., Cardenas R., Urrutia R.
Source
Water, 2024,
16 (24), p. 3708 [15 p.]
In this study, we build an empirical model to estimate pigments in the South American Lake Villarrica. We use data from Direccion General de Aguas de Chile during the period of 1989-2024 to analyze the behavior of limnological parameters and trophic condition in the lake. Four seasonal linear regression models were developed by us, using a set of water quality variables that explain the values of phycocyanin pigment in Lake Villarrica. In the first case, we related chlorophyll-a (Chl-a) to phycocyanin, expecting to find a direct relationship between both variables, but this was not fulfilled for all seasons of the year. In the second case, in addition to Chl-a, we included water temperature, since this parameter has a great influence on the algal photosynthesis process, and we obtained better results. We discovered a typical seasonal variability given by temperature fluctuations in Lake Villarrica, where in the spring, summer, and autumn seasons, conditions are favorable for algal blooms, while in winter, the natural seasonal conditions do not allow increases in algal productivity. For a third case, we included the turbidity variable along with the variables mentioned above and the statistical performance metrics of the models improved significantly, obtaining R2 values of up to 0.90 in the case of the model for the fall season and a mean squared error (MSE) of 0.04 mu g/L. In the last case used, we added the variable dissolved organic matter (MOD), and the models showed a slight improvement in their performance. These models may be applicable to other lakes with harmful algal blooms in order to alert the community to the potential toxicity of these events.
Plan de classement
Sciences fondamentales / Techniques d'analyse et de recherche [020]
;
Ecologie, systèmes aquatiques [036]
Description Géographique
CHILI
Localisation
Fonds IRD [F B010092269]
Identifiant IRD
fdi:010092269
