Evidence map›Paper›PMID 41350401›Full record

ArticleNature ecology & evolution2026

Impacts of an industrial deep-sea mining trial on macrofaunal biodiversity.

Eva C D Stewart, Helena Wiklund, Lenka Neal, Guadalupe Bribiesca-Contreras, Regan Drennan, Corie M B Boolukos, Lucas D King, Muriel Rabone, Georgina Valls Domedel, Amanda Serpell-Stevens and 4 more

Abstract read
In one paragraph

Article in Nature ecology & evolution, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Assessing mining impacts in the deep sea.Nature ecology & evolution · 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

14 authors.

Eva C D StewartNatural History Museum, London, UK. e.stewart@nhm.ac.uk.ORCID http://orcid.org/0000-0001-8383-5705
Helena WiklundNatural History Museum, London, UK.ORCID http://orcid.org/0000-0002-8252-3504
Lenka NealNatural History Museum, London, UK.
Guadalupe Bribiesca-ContrerasNatural History Museum, London, UK.ORCID http://orcid.org/0000-0001-8163-8724
Regan DrennanNatural History Museum, London, UK.
Corie M B BoolukosNatural History Museum, London, UK.ORCID http://orcid.org/0000-0003-3020-4664
Lucas D KingNatural History Museum, London, UK.ORCID http://orcid.org/0009-0007-3186-9410
Muriel RaboneNatural History Museum, London, UK.
Georgina Valls DomedelNational Oceanography Centre, Southampton, UK.ORCID http://orcid.org/0009-0005-8932-6641
Amanda Serpell-StevensNational Oceanography Centre, Southampton, UK.
Maria B AriasNatural History Museum, London, UK.ORCID http://orcid.org/0000-0002-5538-5177
Thomas G DahlgrenDepartment of Marine Sciences, University of Gothenburg, Gothenburg, Sweden.
Tammy HortonNational Oceanography Centre, Southampton, UK.
Adrian G GloverNatural History Museum, London, UK. a.glover@nhm.ac.uk.ORCID http://orcid.org/0000-0002-9489-074X

Funding

RCUK | Natural Environment Research Council (NERC) NE/S007210/1
6 · The paper itself

Abstract

In 2022 a large-scale test of a commercial deep-sea mining machine was undertaken on the abyssal plain of the eastern Pacific Ocean at a depth of 4,280 m, recovering over 3,000 t of polymetallic nodules. Here, using a quantitative species-level sediment-dwelling macrofaunal dataset, we investigated spatio-temporal variation in faunal abundance and biodiversity for 2 years before and 2 months after test mining. This allowed for the separation of direct mining impacts from natural background variation, which we found to be significant over the 2-year sampling period. Macrofaunal density decreased by 37% directly within the mining tracks, alongside a 32% reduction in species richness, and significantly increased community multivariate dispersion. While species richness and diversity indices within the tracks were reduced compared with controls, diversity was not impacted when measured by sample-size independent measures of accumulation. We found no evidence for change in faunal abundance in an area affected by sediment plumes from the test mining; however, species dominance relationships were altered in these communities reducing their overall biodiversity. These results provide critical data on the effective design of abyssal baseline and impact surveys and highlight the value of integrated species-level taxonomic work in assessing the risks of biodiversity loss.

Indexed as

Aquatic OrganismsBiodiversityInvertebratesMiningAnimalsGeologic SedimentsPacific Ocean

Identifiers

PMID41350401
PMCPMC12890587

What OpenQuestion holds

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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.