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Early detection monitoring for larval dreissenid mussels: how much plankton sampling is enough?

Overview of attention for article published in Environmental Monitoring and Assessment, February 2017
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Article details
Title
Early detection monitoring for larval dreissenid mussels: how much plankton sampling is enough?
Published in
Environmental Monitoring and Assessment, February 2017
DOI 10.1007/s10661-016-5737-x
Pubmed ID
Authors
Abstract

The development of quagga and zebra mussel (dreissenids) monitoring programs in the Pacific Northwest provides a unique opportunity to evaluate a regional invasive species detection effort early in its development. Recent studies suggest that the ecological and economic costs of a dreissenid infestation in the Pacific Northwest of the USA would be significant. Consequently, efforts are underway to monitor for the presence of dreissenids. However, assessments of whether these efforts provide for early detection are lacking. We use information collected from 2012 to 2014 to characterize the development of larval dreissenid monitoring programs in the states of Idaho, Montana, Oregon, and Washington in the context of introduction and establishment risk. We also estimate the effort needed for high-probability detection of rare planktonic taxa in four Columbia and Snake River reservoirs and assess whether the current level of effort provides for early detection. We found that the effort expended to monitor for dreissenid mussels increased substantially from 2012 to 2014, that efforts were distributed across risk categories ranging from high to very low, and that substantial gaps in our knowledge of both introduction and establishment risk exist. The estimated volume of filtered water required to fully census planktonic taxa or to provide high-probability detection of rare taxa was high for the four reservoirs examined. We conclude that the current level of effort expended does not provide for high-probability detection of larval dreissenids or other planktonic taxa when they are rare in these reservoirs. We discuss options to improve early detection capabilities.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 9 23%
Student > Ph. D. Student 6 15%
Other 4 10%
Student > Master 4 10%
Student > Bachelor 2 5%
Other 4 10%
Unknown 10 26%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 9 23%
Environmental Science 8 21%
Biochemistry, Genetics and Molecular Biology 3 8%
Chemistry 3 8%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 3 8%
Unknown 12 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 26 May 2017.
All research outputs
#14,863,581
of 26,122,087 outputs
Outputs from Environmental Monitoring and Assessment
#1,297
of 3,145 outputs
Outputs of similar age
#215,174
of 429,700 outputs
Outputs of similar age from Environmental Monitoring and Assessment
#15
of 35 outputs
Altmetric has tracked 26,122,087 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,145 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 58% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 429,700 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.