Evidence map›Paper›PMID 29370187›Full record

ArticlePloS one2018

Impacts of the Deepwater Horizon oil spill evaluated using an end-to-end ecosystem model.

Cameron H Ainsworth, Claire B Paris, Natalie Perlin, Lindsey N Dornberger, William F Patterson, Emily Chancellor, Steve Murawski, David Hollander, Kendra Daly, Isabel C Romero and 2 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
8.9field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 125 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Long-Term Ecological Impacts from Oil Spills: Comparison ofEnvironmental science & technology · 2020
    Article
  7. Review
  8. Article
  9. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 4 institutions in 1 country.

Cameron H AinsworthUniversity of South Florida College of Marine Science, St. Petersburg, FL, United States of America.ORCID 0000-0001-5300-8290
Claire B ParisUniversity of Miami, Rosenstiel School of Marine and Atmospheric Science, Miami, FL, United States of America.
Natalie PerlinUniversity of Miami, Rosenstiel School of Marine and Atmospheric Science, Miami, FL, United States of America.
Lindsey N DornbergerUniversity of South Florida College of Marine Science, St. Petersburg, FL, United States of America.
William F PattersonUniversity of Florida, Institute of Food and Agricultural Sciences, Fisheries and Aquatic Sciences Program, Gainesville, FL, United States of America.
Emily ChancellorUniversity of South Florida College of Marine Science, St. Petersburg, FL, United States of America.
Steve MurawskiUniversity of South Florida College of Marine Science, St. Petersburg, FL, United States of America.
David HollanderUniversity of South Florida College of Marine Science, St. Petersburg, FL, United States of America.
Kendra DalyUniversity of South Florida College of Marine Science, St. Petersburg, FL, United States of America.
Isabel C RomeroUniversity of South Florida College of Marine Science, St. Petersburg, FL, United States of America.
Felicia ColemanFlorida State University, Dept. of Biological Sciences, Tallahassee, FL, United States of America.
Holly PerrymanUniversity of Miami, Rosenstiel School of Marine and Atmospheric Science, Miami, FL, United States of America.
University of South Florida St. Petersburg · USUniversity of Miami · USFlorida State University · USUniversity of Florida · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We use a spatially explicit biogeochemical end-to-end ecosystem model, Atlantis, to simulate impacts from the Deepwater Horizon oil spill and subsequent recovery of fish guilds. Dose-response relationships with expected oil concentrations were utilized to estimate the impact on fish growth and mortality rates. We also examine the effects of fisheries closures and impacts on recruitment. We validate predictions of the model by comparing population trends and age structure before and after the oil spill with fisheries independent data. The model suggests that recruitment effects and fishery closures had little influence on biomass dynamics. However, at the assumed level of oil concentrations and toxicity, impacts on fish mortality and growth rates were large and commensurate with observations. Sensitivity analysis suggests the biomass of large reef fish decreased by 25% to 50% in areas most affected by the spill, and biomass of large demersal fish decreased even more, by 40% to 70%. Impacts on reef and demersal forage caused starvation mortality in predators and increased reliance on pelagic forage. Impacts on the food web translated effects of the spill far away from the oiled area. Effects on age structure suggest possible delayed impacts on fishery yields. Recovery of high-turnover populations generally is predicted to occur within 10 years, but some slower-growing populations may take 30+ years to fully recover.

Indexed as

EcosystemFishesModels, BiologicalAnimalsBiomassEnvironmentFisheriesFood ChainGulf of AmericaModels, StatisticalPetroleumPetroleum PollutionPopulation DynamicsSpecies SpecificityStochastic ProcessesTime FactorsPetroleumWater Pollutants, Chemical

Identifiers

PMID29370187
PMCPMC5784916
OpenAlexW2794304355

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.