Evidence map›Paper›PMID 38950009›Full record

ArticlePloS one2024

Indicators to assess temporal variability in marine connectivity processes: A semi-theoretical approach.

Morane Clavel-Henry, Nixon Bahamon, Jacopo Aguzzi, Joan Navarro, Miguel López, Joan B Company

Abstract read
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Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

6 authors.

Morane Clavel-HenryInstitut de Ciències del Mar, Consejo Superior de Investigaciones Científicas, Barcelona, Spain.ORCID 0000-0002-2491-6203
Nixon BahamonInstitut de Ciències del Mar, Consejo Superior de Investigaciones Científicas, Barcelona, Spain.ORCID 0000-0002-5802-7367
Jacopo AguzziInstitut de Ciències del Mar, Consejo Superior de Investigaciones Científicas, Barcelona, Spain.ORCID 0000-0002-1484-8219
Joan NavarroInstitut de Ciències del Mar, Consejo Superior de Investigaciones Científicas, Barcelona, Spain.
Miguel LópezInstitut de Ciències del Mar, Consejo Superior de Investigaciones Científicas, Barcelona, Spain.
Joan B CompanyInstitut de Ciències del Mar, Consejo Superior de Investigaciones Científicas, Barcelona, Spain.ORCID 0000-0002-5878-7155

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Oceanographic connectivity in an effective network of protected areas is crucial for restoring and stabilising marine populations. However, temporal variability in connectivity is rarely considered as a criterion in designing and evaluating marine conservation planning. In this study, indicators were defined to characterise the temporal variability in occurrence, flux, and frequency of connectivity in a northwestern Mediterranean Sea area. Indicators were tested on semi-theoretically-estimated connections provided by the runs of a passive particle transport model in a climatological year and in three years between 2006-2020, showing large deviation from the climatological year. The indicators allowed comparing the temporal variability in connectivity of four zones, highlighted differences in connectivity due to their locations and the mesoscale hydrodynamics, and identified areas that require further investigation. The three indicators also showed that the temporal variability in connectivity was influenced by the duration and depth of particle transport, although no consistent pattern was observed in the indicator variations of the compared zones. Provided that specific objectives will be given when parameterising transport models (i.e., selection of focus species and time period), indicators of temporal variability in connectivity have potential to support spatial conservation planning, prioritise the protection of marine resources, and measure the effectiveness of Marine Protected Areas, in line with a long-term vision of ocean management.

Indexed as

Conservation of Natural ResourcesEcosystemHydrodynamicsMediterranean SeaModels, Theoretical

Identifiers

PMID38950009
PMCPMC11216624

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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.