modeling chlorophyll-a and dissolved oxygen concentration in tropical floodplain lakes (paraná river , brazil)

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Abstract
The need for prediction is widely recognized in limnology. In this study, data from 25 lakes of the Upper Paraná River floodplain were used to build models to predict chlorophyll-a and dissolved oxygen concentrations. Akaike's information criterion (AIC) was used as a criterion for model selection. Models were validated with independent data obtained in the same lakes in 2001. Predictor variables that significantly explained chlorophyll-a concentration were pH, electrical conductivity, total seston (positive correlation) and nitrate (negative correlation). This model explained 52% of chlorophyll variability. Variables that significantly explained dissolved oxygen concentration were pH, lake area and nitrate (all positive correlations); water temperature and electrical conductivity were negatively correlated with oxygen. This model explained 54% of oxygen variability. Validation with independent data showed that both models had the potential to predict algal biomass and dissolved oxygen concentration in these lakes. These findings suggest that multiple regression models are valuable and practical tools for understanding the dynamics of ecosystems and that predictive limnology may still be considered a powerful approach in aquatic ecology.
Reference Key
rochabrazilianmodeling Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;RRA. Rocha;SM. Thomaz;P. Carvalho;LC. Gomes
Journal international journal of economic and environment geology
Year Year not found
DOI
10.1590/S1519-69842009000300005
URL
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1519-69842009000300005&lng=en&tlng=en
Keywords
model oxygen chlorophyll-a

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