Evidence map›Paper›PMID 42919917›Full record

ArticleNature ecology & evolution2026

Dispersal corridors enhance modelled near-bed larval connectivity across deep-sea protected area networks.

Molly Kendall James, Amelia Elizabeth Henrietta Bridges, Daniel O B Jones, Charlotte Hannah Clubley, Antony Mark Knights, Danielle S W DeJonge, Kerry Louise Howell

Abstract read
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Article in Nature ecology & evolution, 2026. 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
0cells of the map it votes in
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

7 authors.

Molly Kendall JamesPlymouth Marine Laboratory, Plymouth, UK. moja@pml.ac.uk.ORCID http://orcid.org/0000-0002-3097-0812
Amelia Elizabeth Henrietta BridgesSchool of Marine and Biological Sciences, University of Plymouth, Plymouth, UK.ORCID http://orcid.org/0000-0002-1422-9637
Daniel O B JonesNational Oceanography Centre, Southampton, UK.ORCID http://orcid.org/0000-0001-5218-1649
Charlotte Hannah ClubleyDepartment of Ecoscience, Aarhus University, Aarhus, Denmark.ORCID http://orcid.org/0000-0002-9861-7687
Antony Mark KnightsSchool of Biological, Earth and Environmental Sciences, University College Cork, Cork, Republic of Ireland.ORCID http://orcid.org/0000-0002-0916-3469
Danielle S W DeJongeJoint Nature Conservation Committee, Aberdeen, UK.ORCID http://orcid.org/0000-0002-4093-2721
Kerry Louise HowellSchool of Marine and Biological Sciences, University of Plymouth, Plymouth, UK.

Funding

RCUK | Natural Environment Research Council (NERC) NE/T00293X/2
6 · The paper itself

Abstract

The Clarion-Clipperton Zone (CCZ) is the focal region for imminent deep-sea nodule mining, with over 1.1 million square kilometres already under exploration licence. Although the International Seabed Authority has designated Areas of Particular Environmental Interest (APEIs) to protect regional biodiversity from mining impacts, there has been no formal assessment of whether this network functions as a coherent connected system. Here we use Lagrangian dispersal modelling and network analysis to provide a region-wide assessment of modelled larval connectivity across the CCZ and show that simulated larval exchange among APEIs is extremely limited. Under physically driven near-bed dispersal and reasonable pelagic larval dispersal times of 19-69 days, fewer than 0.02% of particles reach another APEI, with inter-APEI gaps exceeding modelled dispersal capacity. CCZ-wide dispersal is structured into four semi-isolated connectivity communities, and under mining disturbance when self-supply is removed from Areas of Mining Interest, unprotected non-mining areas emerge as the dominant modelled source of replenishment. Strategic corridor additions increase inter-APEI dispersal 406-fold and nearly doubles modelled replenishment from protected areas under disturbance, providing a reproducible, connectivity-informed evidence base for conservation design ahead of commercial mining.

Identifiers

PMID42919917

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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.