Evidence map›Paper›PMID 39225250›Full record

ArticleConservation biology : the journal of the Society for Conservation Biology2025

Three-dimensional conservation planning of fish biodiversity metrics to achieve the deep-sea 30×30 conservation target.

Laetitia Mathon, Florian Baletaud, Anne Lebourges-Dhaussy, Gaël Lecellier, Christophe Menkes, Céline Bachelier, Claire Bonneville, Tony Dejean, Mahé Dumas, Sylvie Fiat and 10 more

Abstract read
In one paragraph

Article in Conservation biology : the journal of the Society for Conservation Biology, 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. Article
  2. Three-dimensional conservation planning of fish biodiversity metrics to achieve the deep-sea 30×30 conservation target.Conservation biology : the journal of the Society for Conservation Biology · 2025
    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

20 authors.

Laetitia MathonENTROPIE, IRD, CNRS, Ifremer, Université de la Réunion, Université de la Nouvelle-Calédonie, Nouméa, New Caledonia.ORCID 0000-0001-8147-8177
Florian BaletaudENTROPIE, IRD, CNRS, Ifremer, Université de la Réunion, Université de la Nouvelle-Calédonie, Nouméa, New Caledonia.
Anne Lebourges-DhaussyLEMAR, Univ. Brest, CNRS, IRD, Ifremer, Plouzané, France.
Gaël LecellierENTROPIE, IRD, CNRS, Ifremer, Université de la Réunion, Université de la Nouvelle-Calédonie, Nouméa, New Caledonia.
Christophe MenkesENTROPIE, IRD, CNRS, Ifremer, Université de la Réunion, Université de la Nouvelle-Calédonie, Nouméa, New Caledonia.
Céline BachelierUAR IMAGO, IRD, Nouméa, New Caledonia.
Claire BonnevilleENTROPIE, IRD, CNRS, Ifremer, Université de la Réunion, Université de la Nouvelle-Calédonie, Nouméa, New Caledonia.
Tony DejeanSPYGEN, Le Bourget-du-Lac, France.
Mahé DumasENTROPIE, IRD, CNRS, Ifremer, Université de la Réunion, Université de la Nouvelle-Calédonie, Nouméa, New Caledonia.
Sylvie FiatENTROPIE, IRD, CNRS, Ifremer, Université de la Réunion, Université de la Nouvelle-Calédonie, Nouméa, New Caledonia.
Jacques GreletIMAGO, UAR191, IRD DR-Ouest, Plouzané, France.
Jérémie HabasqueLEMAR, Univ. Brest, CNRS, IRD, Ifremer, Plouzané, France.
Stéphanie ManelCEFE, Univ. Montpellier, CNRS, EPHE-PSL University, IRD, Montpellier, France.
Laura MannocciMARBEC, Univ. Montpellier, CNRS, Ifremer, IRD, Montpellier, France.ORCID 0000-0001-8147-8644
David MouillotMARBEC, Univ. Montpellier, CNRS, Ifremer, IRD, Montpellier, France.
Maëlis PeranENTROPIE, IRD, CNRS, Ifremer, Université de la Réunion, Université de la Nouvelle-Calédonie, Nouméa, New Caledonia.
Gildas RoudautLEMAR, Univ. Brest, CNRS, IRD, Ifremer, Plouzané, France.
Christine SidobreENTROPIE, IRD, CNRS, Ifremer, Université de la Réunion, Université de la Nouvelle-Calédonie, Nouméa, New Caledonia.
David VarillonUAR IMAGO, IRD, Nouméa, New Caledonia.
Laurent VigliolaENTROPIE, IRD, CNRS, Ifremer, Université de la Réunion, Université de la Nouvelle-Calédonie, Nouméa, New Caledonia.

Funding

Agence Nationale de la RechercheANR SEAMOUNTS #ANR-18-CE02-0016
6 · The paper itself

Abstract

Accelerating rate of human impact and environmental change severely affects marine biodiversity and increases the urgency to implement the Convention on Biological Diversity (CBD) 30×30 plan for conserving 30% of sea areas by 2030. However, area-based conservation targets are complex to identify in a 3-dimensional (3D) ocean where deep-sea features such as seamounts have been seldom studied mostly due to challenging methodologies to implement at great depths. Yet, the use of emerging technologies, such as environmental DNA combined with modern modeling frameworks, could help address the problem. We collected environmental DNA, echosounder acoustic, and video data at 15 seamounts and deep island slopes across the Coral Sea. We modeled 7 fish community metrics and the abundances of 45 individual species and molecular operational taxonomic units (MOTUs) in benthic and pelagic waters (down to 600-m deep) with boosted regression trees and generalized joint attribute models to describe biodiversity on seamounts and deep slopes and identify 3D protection solutions for achieving the CBD area target in New Caledonia (1.4 million km

Indexed as

BiodiversityConservation of Natural ResourcesFishesAnimalsDNA, EnvironmentalOceans and SeasDNA, Environmental3D conservation planningacousticacústicaADN ambientalbiodiversity modelingBRUVSdeep seaeDNAmar profundomodelos de la biodiversidadmonte marinoplaneación tridimensional de la conservaciónseamounts环境政策, 澳大利亚, 受威胁物种, 森林, 林地, 农业

Identifiers

PMID39225250
PMCPMC11959324

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.