Diatom-based TP and TN inference models and indices for monitoring nutrient enrichment of New Jersey streams

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Distribution of phytoplankton in a German lowland river in relation to environmental factors (2010, background): “…affect the performance of our models, which include the influence of temporal variability in nutrient concentrations (Pan et al., 1996) and the indirect impact of nutrients on diatom species through increasing competition with non-diatom species (Winter and Duthie, 2000; Ponader et al., 2007).”
Evaluation of European diatom trophic indices (2011, background): “A complete other option would be the development of diatom-based models for trophic conditions within geographical regions and water types (Ponader et al., 2007, 2008; Potapova and Charles, 2007).”
The periphyton index of trophic status PIT: a new eutrophication metric based on non-diatomaceous benthic algae in Nordic rivers (2011, methodology): “…it is the adaptation of the weighted-averaging method (ter Braak & van Dam, 1989) to a dataset with presenceabsence data, and weighted averaging usually is the most robust method for quantifying species responses to environmental parameters (Ponader et al., 2007 and literature cited therein).”