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Dale M. Robertson

Researcher at United States Geological Survey

Publications -  131
Citations -  5132

Dale M. Robertson is an academic researcher from United States Geological Survey. The author has contributed to research in topics: Water quality & Phosphorus. The author has an hindex of 33, co-authored 125 publications receiving 4575 citations. Previous affiliations of Dale M. Robertson include University of Western Australia & University of Wisconsin-Madison.

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Dynamics of the Lake Michigan food web, 1970-2000

TL;DR: Decrease in the abundance of all three domi- nant benthic macroinvertebrate groups, including Diporeia, oligochaetes, and sphaeriids, during the 1980s in nearshore waters of Lake Michigan was attributable to a decrease in primary production linked to a decline in phosphorus loadings.
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Nutrient Inputs to the Laurentian Great Lakes by Source and Watershed Estimated Using SPARROW Watershed Models

TL;DR: SPAtially Referenced Regressions On Watershed attributes (SPARROW) models were developed for estimating loads and sources of phosphorus (P) and nitrogen (N) from the United States portion of the Great Lakes, Upper Mississippi, Ohio, and Red River Basins and indicated that recent U.S. loadings are similar to those in the 1980s, whereas loadings to Lakes Superior, Huron, and Erie decreased.
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Linkages between nutrients and assemblages of macroinvertebrates and fish in wadeable streams: implication to nutrient criteria development.

TL;DR: In this article, the importance of nutrients in influencing biological assemblages relative to other physicochemical factors at different spatial scales was evaluated. But, the authors focused on how macroinvertebrate and fish measures correlated with the nutrients and quantified relationships between key biological measures and nutrient forms.
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Influence of various water quality sampling strategies on load estimates for small streams

TL;DR: In this paper, the authors systematically subsampled streamflow and water quality data from eight small streams to represent various water-quality sampling strategies and then used the subsample data to determine the accuracy and precision of annual load estimates generated by means of a regression approach and determine the most effective sampling strategy for small streams.