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A Scenario and Forecast Model for Gulf of Mexico Hypoxic Area and Volume

Overview of attention for article published in Environmental Science & Technology, September 2013
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Title
A Scenario and Forecast Model for Gulf of Mexico Hypoxic Area and Volume
Published in
Environmental Science & Technology, September 2013
DOI 10.1021/es4025035
Pubmed ID
Authors

Donald Scavia, Mary Anne Evans, Daniel R. Obenour

Abstract

For almost three decades, the relative size of the hypoxic region on the Louisiana-Texas continental shelf has drawn scientific and policy attention. During that time, both simple and complex models have been used to explore hypoxia dynamics and to provide management guidance relating the size of the hypoxic zone to key drivers. Throughout much of that development, analyses had to accommodate an apparent change in hypoxic sensitivity to loads and often cull observations due to anomalous meteorological conditions. Here, we describe an adaptation of our earlier, simple biophysical model, calibrated to revised hypoxic area estimates and new hypoxic volume estimates through Bayesian estimation. This application eliminates the need to cull observations and provides revised hypoxic extent estimates with uncertainties corresponding to different nutrient loading reduction scenarios. We compare guidance from this model application, suggesting an approximately 62% nutrient loading reduction is required to reduce Gulf hypoxia to the Action Plan goal of 5000 km(2), to that of previous applications. In addition, we describe for the first time, the corresponding response of hypoxic volume. We also analyze model results to test for increasing system sensitivity to hypoxia formation, but find no strong evidence of such change.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 7%
Brazil 1 4%
Unknown 24 89%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 26%
Student > Ph. D. Student 5 19%
Student > Bachelor 4 15%
Researcher 4 15%
Professor 2 7%
Other 3 11%
Unknown 2 7%
Readers by discipline Count As %
Environmental Science 10 37%
Agricultural and Biological Sciences 4 15%
Earth and Planetary Sciences 3 11%
Engineering 3 11%
Chemistry 2 7%
Other 1 4%
Unknown 4 15%
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 24 September 2013.
All research outputs
#20,657,128
of 25,377,790 outputs
Outputs from Environmental Science & Technology
#18,394
of 20,675 outputs
Outputs of similar age
#157,842
of 209,012 outputs
Outputs of similar age from Environmental Science & Technology
#218
of 253 outputs
Altmetric has tracked 25,377,790 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,675 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.8. This one is in the 5th percentile – i.e., 5% of its peers scored the same or lower than it.
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