Evidence map›Paper›PMID 42023507›Full record

ArticleEcological applications : a publication of the Ecological Society of America2026

Assessing the variability and vulnerability of carbon function in coastal soft sediment ecosystems to inform protection.

Tegan Evans, Ines Bartl, Shahrokh Heidari, Rebecca V Gladstone-Gallagher, Stefano Schenone, Patrice Delmas, Simon F Thrush

Abstract read
In one paragraph

Article in Ecological applications : a publication of the Ecological Society of America, 2026. 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. Assessing the variability and vulnerability of carbon function in coastal soft sediment ecosystems to inform protection.Ecological applications : a publication of the Ecological Society of America · 2026
    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

7 authors.

Tegan EvansInstitute of Marine Science, Waipapa Taumata Rau, Auckland, New Zealand.ORCID https://orcid.org/0009-0003-5468-0785
Ines BartlInstitute of Marine Science, Waipapa Taumata Rau, Auckland, New Zealand.ORCID https://orcid.org/0000-0001-6633-0887
Shahrokh HeidariSchool of Computer Science, Waipapa Taumata Rau, The University of Auckland, Auckland, New Zealand.ORCID https://orcid.org/0000-0002-1727-939X
Rebecca V Gladstone-GallagherInstitute of Marine Science, Waipapa Taumata Rau, Auckland, New Zealand.ORCID https://orcid.org/0000-0002-1745-2084
Stefano SchenoneInstitute of Marine Science, Waipapa Taumata Rau, Auckland, New Zealand.ORCID https://orcid.org/0000-0002-8509-1356
Patrice DelmasSchool of Computer Science, Waipapa Taumata Rau, The University of Auckland, Auckland, New Zealand.ORCID https://orcid.org/0000-0002-0235-4596
Simon F ThrushInstitute of Marine Science, Waipapa Taumata Rau, Auckland, New Zealand.ORCID https://orcid.org/0000-0002-4005-3882

Funding

Ministry of Business, Innovation and Employment UOAX2307Oceans of Change project (The Auckland Foundation)
6 · The paper itself

Abstract

Coastal soft sediment ecosystems can sequester and process large quantities of carbon, making these environments important in mitigating the impacts of climate change. However, demersal fishing methods can resuspend sediment, releasing CO

Indexed as

CarbonCarbon CycleConservation of Natural ResourcesEcosystemGeologic SedimentsAnimalsBiodiversityCarbon DioxideCarbonCarbon Dioxidebiodiversity recoveryblue carboncarbon cyclingcoastal ecosystemsconservationdemersal fishing impactsfishing impactsmarine protected areamicrotopographic surface featuressediment resuspensionsoft sediment ecosystems

Identifiers

PMID42023507
PMCPMC13103922

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.