Datasets used to asses the effects of antecedent streamflow and sample timing on trend assessments of fish, invertebrate and diatom communities (2002-12)
February 12, 2019
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.
Citation Information
| Publication Year | 2019 |
|---|---|
| Title | Datasets used to asses the effects of antecedent streamflow and sample timing on trend assessments of fish, invertebrate and diatom communities (2002-12) |
| DOI | 10.5066/P9EEFX0B |
| Authors | Robert E Zuellig, Daren M Carlisle |
| Product Type | Data Release |
| Record Source | USGS Digital Object Identifier Catalog |
| USGS Organization | Water Resources Mission Area - Headquarters |
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Effects of antecedent streamflow and sample timing on trend assessments of fish, invertebrate, and diatom communities
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
Authors
Robert E. Zuellig, Daren Carlisle
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Effects of antecedent streamflow and sample timing on trend assessments of fish, invertebrate, and diatom communities
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 2012AuthorsRobert E. Zuellig, Daren Carlisle - Connect