Metadata for Carlisle et al. A Web-Based Tool for Assessing the Condition of Benthic Diatom Assemblages in Streams and Rivers of the Conterminous United States
Description
R code and data files used to identify diatom metrics that are robust to taxonomic inconsistency. The R code run a goodness of fit analysis to determine how much variation is explained by analyst in a diatom dataset that has been harmonized for taxonomic consistency compared to the original raw dataset.
This dataset is associated with the following publication:
Carlisle, D., S. Spaulding, M. Tyree, N. Schulte, S. Lee, R. Mitchell, and A. Pollard. A web-based tool for assessing the condition of benthic diatom assemblages in streams and rivers of the conterminous United States manuscript. ECOLOGICAL INDICATORS. Elsevier Science Ltd, New York, NY, USA, 135: 1-13, (2022).
Resources
| Name |
Format |
Description |
Link |
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0 |
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https://www.sciencebase.gov/catalog/item/61d71ea5d34ed79294004fda |
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57 |
Carlisle%20et%20al.%20analyst%20goodness%20of%20fit%2020221025.zip |
https://pasteur.epa.gov/uploads/10.23719/1528127/Carlisle%20et%20al.%20analyst%20goodness%20of%20fit%2020221025.zip |
Tags
- diatoms
- rivers
- multi-metric-index
- biological-condition
- streams