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Scaling to the Organism: An Innovative Model of Dynamic Exposure Hotspots in Stream Systems

Overview of attention for article published in Archives of Environmental Contamination and Toxicology, September 2017
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Title
Scaling to the Organism: An Innovative Model of Dynamic Exposure Hotspots in Stream Systems
Published in
Archives of Environmental Contamination and Toxicology, September 2017
DOI 10.1007/s00244-017-0444-3
Pubmed ID
Authors

Kristen M. Harrigan, Paul A. Moore

Abstract

In flowing systems, fluctuations in the frequency, magnitude, and duration of exposure occurs due to turbulence and geomorphology, causing spatial and temporal variations in chemical exposure at the scale of the organism. Spatial models representing toxicant distribution at the appropriate scales of stream organisms are noticeably missing from the literature. To characterize the fine scale distribution of pollutants in freshwater streams at the scale of a benthic organism, nine artificial stream habitats were created (riffle, pool, run, bend, woody debris) with either sand or gravel substrate. Dopamine was released as a chemical tracer, mimicking a groundwater source, and measurements were recorded with a microelectrode and Epsilon electrochemical recording system. Proxies for the frequency, magnitude, and duration of chemical exposure were extracted. Geographic information systems and an inverse distance weight interpolation technique were used to predict spatially the chemical distribution throughout the habitats. Spatial and temporal variations of exposure were exhibited within and across habitats, indicating that the frequency, magnitude, and duration of exposure is influenced by the organism's location within a habitat and the habitat it resides in. The run and pool with sand substrate contained the greatest frequency, magnitude, and duration of exposure, suggesting a more detrimental exposure compared to other habitats. Differences in peak heights within and across habitats are orders of magnitude in value. Spatial and temporal fluctuations of fine scale exposure need to be considered in both ecotoxicology and water quality modeling to represent and understand the exposure of pollutants impacting benthic organisms.

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Mendeley readers

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The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 11%
Student > Master 2 11%
Lecturer 1 6%
Other 1 6%
Student > Ph. D. Student 1 6%
Other 0 0%
Unknown 11 61%
Readers by discipline Count As %
Environmental Science 3 17%
Agricultural and Biological Sciences 3 17%
Computer Science 1 6%
Unknown 11 61%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 March 2018.
All research outputs
#21,153,429
of 23,806,312 outputs
Outputs from Archives of Environmental Contamination and Toxicology
#1,720
of 2,093 outputs
Outputs of similar age
#277,574
of 316,886 outputs
Outputs of similar age from Archives of Environmental Contamination and Toxicology
#18
of 32 outputs
Altmetric has tracked 23,806,312 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,093 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.