Evidence map›Paper›PMID 40707663›Full record

ArticleScientific reports2025

Molecular diversity of dissolved organic matter reflects macroecological patterns in river networks.

Erika C Freeman, Maruti K Mudunuru, Kelli L Feeser, Emily Ann McClure, Ricardo González-Pinzón, Christopher S Ward, Eric M Bottos, Stefan Krause, Jasquelin Peña, Michelle E Newcomer

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

10 authors.

Erika C FreemanDepartment of Plant Sciences, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0001-7161-6038
Maruti K MudunuruSubsurface Science Group, Pacific Northwest National Laboratory, Richland, WA, USA.ORCID http://orcid.org/0000-0002-2158-7723
Kelli L FeeserBioscience Division, Los Alamos National Laboratory, Los Alamos, NM, USA.ORCID http://orcid.org/0000-0002-4144-0294
Emily Ann McClureGeisel School of Medicine at Dartmouth, Hanover, NH, USA.ORCID http://orcid.org/0000-0002-4401-0724
Ricardo González-PinzónGerald May Department of Civil, Construction and Environmental Engineering, University of New Mexico, Albuquerque, NM, USA.ORCID http://orcid.org/0000-0001-9387-6885
Christopher S WardCenter for Great Lakes and Watershed Studies, Bowling Green State University, Bowling Green, OH, USA.ORCID http://orcid.org/0000-0002-9887-232X
Eric M BottosDepartment of Biological Sciences, Thompson Rivers University, Kamloops, BC, Canada.ORCID http://orcid.org/0000-0001-9671-5657
Stefan KrauseUniversity of Birmingham, Birmingham, UK.ORCID http://orcid.org/0000-0003-2521-2248
Jasquelin PeñaDepartment of Civil and Environmental Engineering, University of California, Davis, USA.ORCID http://orcid.org/0000-0001-7081-3873
Michelle E NewcomerLawrence Berkeley National Laboratory, Earth & Environmental Sciences Area, Berkeley, CA, USA. mnewcomer@lbl.gov.ORCID http://orcid.org/0000-0001-5138-9026

Funding

Exploratory Advanced Research Program HDR 1914490.Gates Cambridge Trust OPP1144National Science Foundation HDR-1914490Natural Sciences and Engineering Research Council of Canada Discovery GrantRoyal Statistical Society INF\R2\212060U.S. Department of Energy 10.46936/intm.proj.2022.60592/60008643U.S. Department of Energy DE-AC05-76RL01830
6 · The paper itself

Abstract

Deciphering dissolved organic matter (DOM) molecular complexity is crucial for understanding ecosystem function. Using the continental-scale Worldwide Hydrobiogeochemistry Observation Network for Dynamic Rivers Systems (WHONDRS) Fourier-transform ion cyclotron resonance mass spectrometry (FTICR-MS) dataset, we reveal fundamental scaling patterns of DOM chemodiversity with watershed characteristics. Analysis of 54 river sites shows local and regional watershed features significantly influence DOM chemodiversity (2500-8718 unique formulae), exhibiting consistent scaling patterns across compound classes and a novel latitudinal gradient (decreasing diversity with increasing latitude). Scaling relationships for DOM composition vary by compound class. Crucially, the scaling parameters (B, baseline chemodiversity; Z, sensitivity) are linearly interrelated. This B-Z relationship is most robust for potentially bio-labile carbohydrates (coefficient of determination R

Identifiers

PMID40707663
PMCPMC12289903

What OpenQuestion holds

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Registered trials

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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.