ArticleFreshwater science (Print)2022
Quantifying spatial and temporal relationships between diatoms and nutrients in streams strengthens evidence of nutrient effects from monitoring data.
Article in Freshwater science (Print), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
6 citing papers in PubMed.
- Inferences based on diatom compositions improve estimates of nutrient concentrations in streams.The Science of the total environment · 2024Article
- Using DNA metabarcoding to characterize national scale diatom-environment relationships and to develop indicators in streams and rivers of the United States.The Science of the total environment · 2024Article
- Article
- Understanding the effects of phosphorus on diatom richness in rivers and streams using taxon-environment relationships.Freshwater biology · 2023Article
- Article
- Characterizing temporal variability in streams supports nutrient indicator development using diatom and bacterial DNA metabarcoding.The Science of the total environment · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Observational data are frequently used to better understand the effects of changes in P and N on stream biota, but nutrient gradients in streams are usually associated with gradients in other environmental factors, a phenomenon that complicates efforts to accurately estimate the effects of nutrients. Here, we propose a new approach for analyzing observational data in which we compare the effects of changes in nutrient concentrations in time within individual sites and in space among many sites. Covarying relationships between other, potentially confounding environmental factors and nutrient concentrations are unlikely to be the same in both time and space, and, therefore, estimated effects of nutrients that are similar in time and space are more likely to be accurate. We applied this approach to diatom
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Registered trials
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