Epilithic diatoms as indicators of stream total N and total P concentration

By Jennifer G. Winter, H. Duthie. Journal of The North American Benthological Society, 2000

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Diatom-based TP and TN inference models and indices for monitoring nutrient enrichment of New Jersey streams (2007, methodology): “We chose weighted averaging (WA) inference modeling (ter Braak and Juggins, 1993) as our approach because it is the most accurate method for quantifying species response to nutrients (Hall and Smol, 1992; Dixit and Smol, 1994; Reavie et al., 1995; Pan et al., 1996; Winter and Duthie, 2000; Bennion e”
Quantifying species indicator values for trophic diatom indices: a comparison of approaches (2004, background): “However, nutrient inference models for lakes (review in Hall & Smol, 1999) and rivers (e.g., Pan et al., 2000; Winter & Duthie, 2000) in general have lower predictive power than pH and salinity models.”
Distribution of phytoplankton in a German lowland river in relation to environmental factors (2010, background): “It is likely that optima and tolerances vary geographically and between habitats (Winter and Duthie, 2000) and that extensive measurements over various eco-regions will be required to develop effective inference models for rivers.”
A diatom-based index for the biological assessment of eastern Canadian rivers : an application of correspondence analysis (CA) (2006, background): “One composite sample of five rocks (Winter and Duthie 2000) per site was collected within a ~5 m2 area.”