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Detecting trends in biological attributes is central to many stream monitoring programs; however, understanding how natural variability in environmental factors affects trend results is not well understood. We evaluated the influence of antecedent streamflow and sample timing (covariates) on trend estimates for fish, invertebrate, and diatom taxa richness and biological condition from 2002 to 2012 at 51 sites distributed across the conterminous United States. This data release contains all of the input and output files necessary to reproduce the results presented and discussed in the associated journal article.
Categories: Data;
Tags: Antecedent,
Streamflow,
United States,
aquatic,
benthic, All tags...
biology,
communities,
diatoms,
ecology,
fish,
indicator,
invertebrates,
river,
stream,
trend assessment,
usgsnawqaswtrends,
wadeable, Fewer tags
Detecting trends in biological attributes is central to many stream monitoring programs; however, understanding how natural variability in environmental factors affects trend results is not well understood. We evaluated the influence of antecedent streamflow and sample timing (covariates) on trend estimates for fish, invertebrate, and diatom taxa richness and biolgical condition from 2002 to 2012 at 51 sites distributed across the conterminous United States. This data release contains all of the input and output files necessary to reproduce the results presented and discussed in the associated journal article.
Categories: Data;
Tags: Antecedent,
Streamflow,
United States,
aquatic,
biology, All tags...
diatoms,
ecology,
fish,
invertebrates,
river,
stream,
trend,
usgsnawqaswtrends,
wadeable, Fewer tags
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