Evidence map›Paper›PMID 38098778›Full record

ArticleMethodsX2023

Constructing a model including the cryptic sulfur cycle in Chesapeake Bay requires judicious choices for key processes and parameters.

Rui Jin, Marie-Aude Pradal, Kalev Hantsoo, Anand Gnanadesikan, Pierre St-Laurent, Christian J Bjerrum

Abstract read
In one paragraph

Article in MethodsX, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Rui JinDepartment of Earth and Planetary Sciences, Johns Hopkins University, Baltimore, MD 21218, United States.
Marie-Aude PradalDepartment of Earth and Planetary Sciences, Johns Hopkins University, Baltimore, MD 21218, United States.
Kalev HantsooDepartment of Earth and Planetary Sciences, Johns Hopkins University, Baltimore, MD 21218, United States.
Anand GnanadesikanDepartment of Earth and Planetary Sciences, Johns Hopkins University, Baltimore, MD 21218, United States.
Pierre St-LaurentVirginia Institute of Marine Science, William & Mary, Gloucester Point, VA 23062, United States.
Christian J BjerrumDepartment of Geoscience and Natural Resource Management, University of Copenhagen, Copenhagen 1165, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A new biogeochemical model for Chesapeake Bay has been developed by merging two published models - the ECB model of Da et al. (2018) that has been calibrated for the Bay but only simulates nitrogen, carbon and oxygen and the BioRedoxCNPS model of al Azhar et al. (2014) and Hantsoo et al. (2018) that includes cryptic sulfur cycling. Comparison between these models shows that judicious choices are required for key processes and parameters. This manuscript documents the sources of differences between the two published models in order to select the most realistic configuration for our new model.•This study focuses on three sets of differences-processes only included in ECB (burial and dissolved organic matter), processes only included in BioRedoxCNPS (explicit dynamics for hydrogen sulfide, sulfate and nitrite, light attenuation that does not include CDOM or sediments), and differences in parameters common to the two codes.•Sensitivity studies that highlight particular choices (absorption by dissolved organic matter, nitrification rates, stoichiometric ratios) are also shown.•The new model includes sulfur cycling and has comparable skill in predicting oxygen as ECB, but also has improved simulation of nitrogen species compared with both original codes.

Indexed as

HypoxiaModeling predictionsNitrificationOptics absorptionParticle sinkingSNP_BUR_DOMStoichiometry

Identifiers

PMID38098778
PMCPMC10719513

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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.