Strategies and trends of bottom trawl fisheries in the Mediterranean Sea. (August 2020)
- Record Type:
- Journal Article
- Title:
- Strategies and trends of bottom trawl fisheries in the Mediterranean Sea. (August 2020)
- Main Title:
- Strategies and trends of bottom trawl fisheries in the Mediterranean Sea
- Authors:
- De Angelis, Paola
D'Andrea, Lorenzo
Franceschini, Simone
Cataudella, Stefano
Russo, Tommaso - Abstract:
- Abstract: An effective management of trawl fishing should be based on the classification of strategies adopted by fishers in terms of fishing grounds selected and target species. In addition, the dynamics behind strategy selection should be investigated and understood, since they are likely to affect the status of the stocks. This study applies artificial neural networks to identify the main strategies characterizing the fishing activity of Italian trawlers operating in the Central Mediterranean during the period 2009–2016. Moreover, the rationale driving fishers' choice is modelled using General Additive Models (to investigate the role of external factors) and Conditional Logit (to investigate the interaction among fishers). Five strategies were identified together with the potential effects on some key stocks which, in turn, determine the fishers' preference towards alternative strategies. Results suggest that both external factors and interactions are relevant in driving fishers' behavior, and provide some potentially useful insights for the set-up of management strategies in which the adaptation of fishers to biological and economic factors are explicitly considered. Highlights: Strategies adopted by bottom otter trawlers in the Central Mediterranean are characterized. Dynamics behind strategy selection modelled and related to resource status and economic drivers. Relevant factors were identified as drivers of fishers' behaviour, including direct competition.Abstract: An effective management of trawl fishing should be based on the classification of strategies adopted by fishers in terms of fishing grounds selected and target species. In addition, the dynamics behind strategy selection should be investigated and understood, since they are likely to affect the status of the stocks. This study applies artificial neural networks to identify the main strategies characterizing the fishing activity of Italian trawlers operating in the Central Mediterranean during the period 2009–2016. Moreover, the rationale driving fishers' choice is modelled using General Additive Models (to investigate the role of external factors) and Conditional Logit (to investigate the interaction among fishers). Five strategies were identified together with the potential effects on some key stocks which, in turn, determine the fishers' preference towards alternative strategies. Results suggest that both external factors and interactions are relevant in driving fishers' behavior, and provide some potentially useful insights for the set-up of management strategies in which the adaptation of fishers to biological and economic factors are explicitly considered. Highlights: Strategies adopted by bottom otter trawlers in the Central Mediterranean are characterized. Dynamics behind strategy selection modelled and related to resource status and economic drivers. Relevant factors were identified as drivers of fishers' behaviour, including direct competition. Consequences for management of trawl fishing on demersal stocks are discussed. … (more)
- Is Part Of:
- Marine policy. Volume 118(2020)
- Journal:
- Marine policy
- Issue:
- Volume 118(2020)
- Issue Display:
- Volume 118, Issue 2020 (2020)
- Year:
- 2020
- Volume:
- 118
- Issue:
- 2020
- Issue Sort Value:
- 2020-0118-2020-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-08
- Subjects:
- Fishing behavior -- Spatial modelling -- Strategy -- Impacts -- Resource status
Marine resources -- Economic aspects -- Periodicals
Fisheries -- Periodicals
Ressources marines -- Aspect économique -- Périodiques
Pêches -- Périodiques
Fisheries
Marine resources -- Economic aspects
Periodicals
333.916405 - Journal URLs:
- http://www.sciencedirect.com/science/journal/0308597X ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.marpol.2020.104016 ↗
- Languages:
- English
- ISSNs:
- 0308-597X
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 5377.250000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 23553.xml