Evidence map›Paper›PMID 40118864›Full record

ArticleScientific data2025

Ecosystem metabolism estimates from the National Ecological Observatory Network (NEON) stream and river sites.

Nicholas S Marzolf, Weston M Slaughter, Michael J Vlah, Spencer A Rhea, Amanda G DelVecchia, Emily S Bernhardt

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Nicholas S MarzolfDepartment of Biology, Duke University, 130 Science Dr, Durham, NC, 27708, USA. nick.marzolf@jonesctr.org.ORCID http://orcid.org/0000-0001-9146-1643
Weston M SlaughterDepartment of Biology, Duke University, 130 Science Dr, Durham, NC, 27708, USA.ORCID http://orcid.org/0000-0003-4675-5786
Michael J VlahDepartment of Biology, Duke University, 130 Science Dr, Durham, NC, 27708, USA.ORCID http://orcid.org/0000-0002-6260-2416
Spencer A RheaDepartment of Biology, Duke University, 130 Science Dr, Durham, NC, 27708, USA.ORCID http://orcid.org/0000-0002-0919-2657
Amanda G DelVecchiaDepartment of Geography and Environment, University of North Carolina Chapel Hill, 220 E Cameron Ave, Chapel Hill, NC, 27514, USA.ORCID http://orcid.org/0000-0003-4252-5991
Emily S BernhardtDepartment of Biology, Duke University, 130 Science Dr, Durham, NC, 27708, USA.ORCID http://orcid.org/0000-0003-3031-621X

Funding

National Science Foundation (NSF) 1442439National Science Foundation (NSF) 1926420National Science Foundation (NSF) 2106071
6 · The paper itself

Abstract

Expanded availability of estimates of ecosystem metabolism and gas exchange from the worlds streams and rivers is rapidly revising estimates of river contributions to global carbon budgets. Here, we present estimates of gross primary production, ecosystem respiration, and gas exchange from 27 streams and rivers across North America, including Puerto Rico, using data from the National Ecological Observatory Network (NEON). Further, we explore how aggregating and processing input data influences model outputs, expanding the methodological knowledge in approaching sensor collection and manipulation for ecosystem-scale modelling. We apply filters to input data to determine how different approaches to quality control of raw data influence the quantity and precision of estimates of ecosystem metabolism. Model estimates are high priority measures of ecosystem function that integrate additional NEON data products that will allow further understanding of stream and river biogeochemistry and ecosystem function across time and space.

Indexed as

EcosystemRiversNorth AmericaPuerto Rico

Identifiers

PMID40118864
PMCPMC11928455

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.