Evidence map›Paper›PMID 39279797›Full record

ArticleEcology and evolution2024

Using spatial distribution modeling of commercial species to inform management of small-scale fisheries in a Mediterranean marine protected area.

G La Manna, F Ronchetti, M Moro Merella, R Vargiu, F Perretti, G Ceccherelli

Abstract read
In one paragraph

Article in Ecology and evolution, 2024. 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. 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

6 authors.

G La MannaDipartimento di Scienze Chimiche Fisiche Matematiche e Naturali Università di Sassari Sassari Italy.ORCID https://orcid.org/0000-0002-0057-9142
F RonchettiMareTerra - Environmental Research and Conservation Alghero Italy.
M Moro MerellaDipartimento di Scienze Chimiche Fisiche Matematiche e Naturali Università di Sassari Sassari Italy.
R VargiuDipartimento di Scienze Chimiche Fisiche Matematiche e Naturali Università di Sassari Sassari Italy.
F PerrettiMareTerra - Environmental Research and Conservation Alghero Italy.
G CeccherelliDipartimento di Scienze Chimiche Fisiche Matematiche e Naturali Università di Sassari Sassari Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Marine protected areas (MPAs) make an essential contribution to the spatial management of critical areas, the conservation of coastal species exploited by human activities, and the sustainable use of marine resources. Within MPAs, fishing closure areas are among the most used small-scale fishery management tools, even though their effectiveness largely remains untested or controversial. To reduce the impact of small-scale fisheries on marine resources, a seasonal fishing closure area (SFCA) was established beginning in 2022 in autumn-winter season inside the Capo Caccia-Isola Piana MPA (Sardinia, northwestern Mediterranean Sea). Here, we assessed a posteriori whether the areas of higher habitat suitability for eight species/taxa of relevant ecological value and economic interest to small-scale fisheries were included in the established SFCA, adequately meeting the ecological objectives of the MPA. Thus, landing data (from 2019 to 2023) were used as occurrence records to develop MaxEnt distribution models for the eight target species/taxa. The model outputs allow us to draw important insights about the spatial adequacy of the SFCA established within the MPA aimed to protect the most exploited marine resources. Furthermore, the modeling exercises were useful for understanding the local processes influencing species' habitat selection and to identify essential areas for the target species that could remain unrevealed in larger-scale investigations.

Indexed as

artisanal fisheryfishfishing closure areahabitat suitabilityMaxEnt

Identifiers

PMID39279797
PMCPMC11393775

What OpenQuestion holds

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Registered trials

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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.