Identifying and Mapping Local Bycatch Hotspots of Loggerhead Sea Turtles Using a GIS-Based Method: Implications for Conservation
| UDC.coleccion | Investigación | |
| UDC.departamento | Bioloxía | |
| UDC.endPage | 665 | |
| UDC.grupoInv | Grupo de Investigación en Recursos Mariños e Pesquerías | |
| UDC.journalTitle | Marine Biology | |
| UDC.startPage | 653 | |
| UDC.volume | 160 | |
| dc.contributor.author | Cambiè, Giulia | |
| dc.contributor.author | Sánchez-Carnero, Noela | |
| dc.contributor.author | Mingozzi, Toni | |
| dc.contributor.author | Muiño, Ramón | |
| dc.contributor.author | Freire, Juan | |
| dc.date.accessioned | 2025-12-05T11:21:53Z | |
| dc.date.available | 2025-12-05T11:21:53Z | |
| dc.date.issued | 2012-11-21 | |
| dc.description.abstract | [Abstract] Fisheries bycatch of marine megafauna is a worldwide conservation issue. In this study, we propose a method for generating reliable maps of sea turtle bycatch hotspots. Based on a well-defined area of fishing effort determined from the longline sets monitored in 2007 and 2010, we calculated the fishing area with the highest turtle bycatch density for both years. Our results show that it is important to consider all the components of fishing effort (area, number of hooks and soak time) in order to standardize the bycatch events, and thus the spatial density of the captures can be considered an index of abundance and aggregation of the species. Moreover, the high-resolution level of the analyses was useful for investigating the cumulative effect of the longline sets, which often overlap, and made it possible to correctly map the capture density and the intensity of the fishing effort at any given location. | |
| dc.description.sponsorship | The authors would like to thank all the fishers involved in the survey for their assistance and unconditional support of this project. A special thanks to P. and C. Polimeno, S. Urso, S. Aceña, and V. Urgorri for the valuable help. We are also indebted to E Raabe of Arc Dehooker for providing the “Turtle Kits” for free and to Spanish Centro de Recepción, Proceso, Archivo y Distribución de Imágenes de Observación de la Tierra (CREPAD) for processing images. Finally, we wish to thank two anonymous reviewers for their very useful comments and suggestions | |
| dc.identifier.citation | Cambiè, G., Sánchez-Carnero, N., Mingozzi, T. et al. Identifying and mapping local bycatch hotspots of loggerhead sea turtles using a GIS-based method: implications for conservation. Mar Biol 160, 653–665 (2013). https://doi.org/10.1007/s00227-012-2120-5 | |
| dc.identifier.doi | 10.1007/s00227-012-2120-5 | |
| dc.identifier.issn | 1432-1793 | |
| dc.identifier.issn | 0025-3162 | |
| dc.identifier.uri | https://hdl.handle.net/2183/46611 | |
| dc.language.iso | eng | |
| dc.publisher | Springer Nature | |
| dc.relation.uri | https://doi.org/10.1007/s00227-012-2120-5 | |
| dc.rights | © Springer-Verlag Berlin Heidelberg 2012 | |
| dc.rights.accessRights | open access | |
| dc.subject | Fishing | |
| dc.subject | Advanced very high resolution radiometer | |
| dc.subject | Fishing effort | |
| dc.subject | Longline fishery | |
| dc.title | Identifying and Mapping Local Bycatch Hotspots of Loggerhead Sea Turtles Using a GIS-Based Method: Implications for Conservation | |
| dc.type | journal article | |
| dc.type.hasVersion | AM | |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | e62b7acd-2230-4db8-8764-5ead8afadbe5 | |
| relation.isAuthorOfPublication | 5052c195-0c4d-4a30-bf38-a35ab3885545 | |
| relation.isAuthorOfPublication | da189185-1053-44b9-80f7-b97e77b30113 | |
| relation.isAuthorOfPublication.latestForDiscovery | e62b7acd-2230-4db8-8764-5ead8afadbe5 |
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