Evidence map›Paper›PMID 27907181›Full record

ArticlePloS one2016

The Role of Ocean Currents in the Temperature Selection of Plankton: Insights from an Individual-Based Model.

Ferdi L Hellweger, Erik van Sebille, Benjamin C Calfee, Jeremy W Chandler, Erik R Zinser, Brandon K Swan, Neil D Fredrick

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

5 citing papers in PubMed, 19 citations in OpenAlex.

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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

7 authors at 4 institutions in 3 countries.

Ferdi L HellwegerDepartment of Civil and Environmental Engineering, Northeastern University, Boston, Massachusetts, United States of America.
Erik van SebilleGrantham Institute & Department of Physics, Imperial College London, London, United Kingdom.
Benjamin C CalfeeDepartment of Microbiology, University of Tennessee, Knoxville, Tennessee, United States of America.
Jeremy W ChandlerDepartment of Microbiology, University of Tennessee, Knoxville, Tennessee, United States of America.
Erik R ZinserDepartment of Microbiology, University of Tennessee, Knoxville, Tennessee, United States of America.
Brandon K SwanBigelow Laboratory for Ocean Sciences, East Boothbay, Maine, United States of America.
Neil D FredrickDepartment of Civil and Environmental Engineering, Northeastern University, Boston, Massachusetts, United States of America.
University of Tennessee at Knoxville · USNortheastern University · USBigelow Laboratory for Ocean Sciences · USImperial College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biogeography studies that correlate the observed distribution of organisms to environmental variables are typically based on local conditions. However, in cases with substantial translocation, like planktonic organisms carried by ocean currents, selection may happen upstream and local environmental factors may not be representative of those that shaped the local population. Here we use an individual-based model of microbes in the global surface ocean to explore this effect for temperature. We simulate up to 25 million individual cells belonging to up to 50 species with different temperature optima. Microbes are moved around the globe based on a hydrodynamic model, and grow and die based on local temperature. We quantify the role of currents using the "advective temperature differential" metric, which is the optimum temperature of the most abundant species from the model with advection minus that from the model without advection. This differential depends on the location and can be up to 4°C. Poleward-flowing currents, like the Gulf Stream, generally experience cooling and the differential is positive. We apply our results to three global datasets. For observations of optimum growth temperature of phytoplankton, accounting for the effect of currents leads to a slightly better agreement with observations, but there is large variability and the improvement is not statistically significant. For observed Prochlorococcus ecotype ratios and metagenome nucleotide divergence, accounting for advection improves the correlation significantly, especially in areas with relatively strong poleward or equatorward currents.

Indexed as

Models, StatisticalWater MovementsDatasets as TopicEcosystemHydrodynamicsPlanktonProchlorococcusSeawaterTemperature

Identifiers

PMID27907181
PMCPMC5131974
OpenAlexW2559510290

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.