Evidence map›Paper›PMID 27721675›Full record

ArticleEstuaries and coasts : journal of the Estuarine Research Federation2016

Progress and challenges in coupled hydrodynamic-ecological estuarine modeling.

Neil K Ganju, Mark J Brush, Brenda Rashleigh, Alfredo L Aretxabaleta, Pilar Del Barrio, Jason S Grear, Lora A Harris, Samuel J Lake, Grant McCardell, James O'Donnell and 4 more

Abstract read
In one paragraph

Article in Estuaries and coasts : journal of the Estuarine Research Federation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

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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

14 authors.

Neil K GanjuU.S. Geological Survey, Woods Hole, MA 02543.
Mark J BrushVirginia Institute of Marine Science, Gloucester Point, VA.
Brenda RashleighU.S. Environmental Protection Agency, Narragansett, RI.
Alfredo L AretxabaletaU.S. Geological Survey, Woods Hole, MA 02543.
Pilar Del BarrioIH-Cantabria, Santander, Spain.
Jason S GrearU.S. Environmental Protection Agency, Narragansett, RI.
Lora A HarrisUniversity of Maryland, Chesapeake Biological Laboratory, Solomons, MD.
Samuel J LakeVirginia Institute of Marine Science, Gloucester Point, VA.
Grant McCardellUniversity of Connecticut, Groton, CT.
James O'DonnellUniversity of Connecticut, Groton, CT.
David K RalstonWoods Hole Oceanographic Institution, Woods Hole, MA.
Richard P SignellU.S. Geological Survey, Woods Hole, MA 02543.
Jeremy M TestaUniversity of Maryland, Chesapeake Biological Laboratory, Solomons, MD.
Jamie M P VaudreyUniversity of Connecticut, Groton, CT.

Funding

WHCOHH: Harmful algal bloom dynamics and epigenetic mechanism of toxin actionP01ES021923 · NIEHS · WOODS HOLE OCEANOGRAPHIC INSTITUTION · PI STEGEMAN, JOHN J · 2012 to 2016
$2.1M
NIEHS NIH HHS P01 ES021923United States NIEHS
6 · The paper itself

Abstract

Numerical modeling has emerged over the last several decades as a widely accepted tool for investigations in environmental sciences. In estuarine research, hydrodynamic and ecological models have moved along parallel tracks with regard to complexity, refinement, computational power, and incorporation of uncertainty. Coupled hydrodynamic-ecological models have been used to assess ecosystem processes and interactions, simulate future scenarios, and evaluate remedial actions in response to eutrophication, habitat loss, and freshwater diversion. The need to couple hydrodynamic and ecological models to address research and management questions is clear, because dynamic feedbacks between biotic and physical processes are critical interactions within ecosystems. In this review we present historical and modern perspectives on estuarine hydrodynamic and ecological modeling, consider model limitations, and address aspects of model linkage, skill assessment, and complexity. We discuss the balance between spatial and temporal resolution and present examples using different spatiotemporal scales. Finally, we recommend future lines of inquiry, approaches to balance complexity and uncertainty, and model transparency and utility. It is idealistic to think we can pursue a "theory of everything" for estuarine models, but recent advances suggest that models for both scientific investigations and management applications will continue to improve in terms of realism, precision, and accuracy.

Indexed as

ecological modelingecosystem modelinghydrodynamicsnumerical modelingskill assessment

Identifiers

PMID27721675
PMCPMC5053394

What OpenQuestion holds

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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.