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SMART: A Spatially Explicit Bio-Economic Model for Assessing and Managing Demersal Fisheries, with an Application to Italian Trawlers in the Strait of Sicily
- Source :
- PLoS ONE, Vol 9, Iss 1, p e86222 (2014), PLoS ONE, PloS one 9 (2014). doi:10.1371/journal.pone.0086222, info:cnr-pdr/source/autori:Russo, Tommaso; Parisi, Antonio; Garofalo, Germana; Gristina, Michele; Cataudella, Stefano; Fiorentino, Fabio/titolo:SMART: A Spatially Explicit Bio-Economic Model for Assessing and Managing Demersal Fisheries, with an Application to Italian Trawlers in the Strait of Sicily/doi:10.1371%2Fjournal.pone.0086222/rivista:PloS one/anno:2014/pagina_da:/pagina_a:/intervallo_pagine:/volume:9
- Publication Year :
- 2014
- Publisher :
- Public Library of Science (PLoS), 2014.
-
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.
- Subjects :
- 0106 biological sciences
Epidemiology
Population Dynamics
Population Modeling
lcsh:Medicine
Distribution (economics)
Aquaculture
Demersal fisheries
01 natural sciences
Demersal zone
lcsh:Science
Sicily
Multidisciplinary
Ecology
Applied Mathematics
Statistics
Environmental resource management
Marine Ecology
Agriculture
Bioeconomic model
Smegmamorpha
Models, Economic
Geography
Settore SECS-S/03 - Statistica Economica
Fish Farming
Algorithms
Research Article
Conservation of Natural Resources
Resource (biology)
Settore BIO/07
Fishing
Fisheries
Marine Biology
Biostatistics
010603 evolutionary biology
Penaeidae
Ecological Economics
Marine Monitoring
Mediterranean Sea
Animals
Humans
14. Life underwater
Biology
Productivity
Management process
Population Biology
business.industry
Trawling
010604 marine biology & hydrobiology
lcsh:R
Fisheries Science
Fishery
Seafood
Sustainability
lcsh:Q
Economic Epidemiology
business
Animal Distribution
Mathematics
Subjects
Details
- ISSN :
- 19326203
- Volume :
- 9
- Database :
- OpenAIRE
- Journal :
- PLoS ONE
- Accession number :
- edsair.doi.dedup.....f45c88476ef0fdc6233333612642636c
- Full Text :
- https://doi.org/10.1371/journal.pone.0086222