Evidence map›Paper›PMID 24465971›Full record

ArticlePloS one2014

SMART: a spatially explicit bio-economic model for assessing and managing demersal fisheries, with an application to italian trawlers in the strait of sicily.

Tommaso Russo, Antonio Parisi, Germana Garofalo, Michele Gristina, Stefano Cataudella, Fabio Fiorentino

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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.

Tommaso RussoLaboratory of Experimental Ecology and Aquaculture, Department of Biology, "Tor Vergata" University of Rome, via della Ricerca Scientifica s.n.c., Rome, Italy.
Antonio ParisiDepartment of Economics and Finance, Faculty of Economics, "Tor Vergata" University of Rome, Rome, Italy.
Germana GarofaloNational Research Council (CNR), Institute for Coastal Marine Environment (IAMC), Mazara del Vallo, Italy.
Michele GristinaNational Research Council (CNR), Institute for Coastal Marine Environment (IAMC), Mazara del Vallo, Italy.
Stefano CataudellaLaboratory of Experimental Ecology and Aquaculture, Department of Biology, "Tor Vergata" University of Rome, via della Ricerca Scientifica s.n.c., Rome, Italy.
Fabio FiorentinoNational Research Council (CNR), Institute for Coastal Marine Environment (IAMC), Mazara del Vallo, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Management of catches, effort and exploitation pattern are considered the most effective measures to control fishing mortality and ultimately ensure productivity and sustainability of fisheries. Despite the growing concerns about the spatial dimension of fisheries, the distribution of resources and fishing effort in space is seldom considered in assessment and management processes. Here we propose SMART (Spatial MAnagement of demersal Resources for Trawl fisheries), a tool for assessing bio-economic feedback in different management scenarios. SMART combines information from different tasks gathered within the European Data Collection Framework on fisheries and is composed of: 1) spatial models of fishing effort, environmental characteristics and distribution of demersal resources; 2) an Artificial Neural Network which captures the relationships among these aspects in a spatially explicit way and uses them to predict resources abundances; 3) a deterministic module which analyzes the size structure of catches and the associated revenues, according to different spatially-based management scenarios. SMART is applied to demersal fishery in the Strait of Sicily, one of the most productive fisheries of the Mediterranean Sea. Three of the main target species are used as proxies for the whole range exploited by trawlers. After training, SMART is used to evaluate different management scenarios, including spatial closures, using a simulation approach that mimics the recent exploitation patterns. Results evidence good model performance, with a noteworthy coherence and reliability of outputs for the different components. Among others, the main finding is that a partial improvement in resource conditions can be achieved by means of nursery closures, even if the overall fishing effort in the area remains stable. Accordingly, a series of strategically designed areas of trawling closures could significantly improve the resource conditions of demersal fisheries in the Strait of Sicily, also supporting sustainable economic returns for fishermen if not applied simultaneously for different species.

Indexed as

Models, EconomicPenaeidaeSmegmamorphaAlgorithmsAnimal DistributionAnimalsConservation of Natural ResourcesFisheriesHumansMediterranean SeaPopulation DynamicsSeafoodSicily

Identifiers

PMID24465971
PMCPMC3900514

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LicenceCC BY
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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.