Workshop on Geo-Spatial Data for Small-Scale Fisheries (WKSSFGEO)

• Luís Manuel Correia Ferreira Bente
• Patricia Breen
• Neil Campbell
• Daniel Cano
• Andre Carvalho
• François Danhiez
• Dan Edwards
• Josefine Egekvist
• Hannah Fennell
• Gianluca Franceschin
• Alessandro Galdelli
• Maria Mar Gil
• Gildas Glemarec
• Emily Hague
• Cherry Harper Jone
• Nuno Henrique Henriques
• Hilmar Hinz
• Einar Hjörleifsson
• Helen Holah
• Patrik Jonsson
• Isidora Katara
• Stefanos Kavada
• Michael Kriegl
• Pedro Leitão
• Irida Maina
• Adriano Mancini
• Guillermo Martin
• Roi Martinez
• Maria Mateo
• Anna Mujal-Colilles
• Jeppe Olsen
• Jacopo Pulcinell
• Antonio Punzón
• Jose Rodriguez
• Julien Rodriguez
• Marta Mega Rufino
• Lara Salvany
• Torsten Schulze
• Daniela Silva
• Jonathan Stounberg
• Anna Nora Tassetti
• Oliver Tully
• Claudio Vasapollo
• Christian von Dorrien

Abstract

The aim of the workshop on Geo-Spatial Data for Small-Scale Fisheries (WKSSFGEO) was to discuss methods for working with high-resolution geo-spatial data in small-scale fisheries (SSF) as well as large-scale fisheries (LSF) with low duration of fishing events. Several case studies using this kind of data, obtained from national data collection programmes or research projects were presented during the workshop. There was a large variety of approaches to estimate fishing effort using high resolution data being implemented by the different countries, most still under development, which led to important and fruitful discussions to start building a common framework. During the workshop, it became clear that a common terminology was essential and should be established, and therefore the group built a terminology table based on definitions found in legislation and reports. The main steps needed to estimate fishing effort were summarised, and for each step, the different approaches were listed, namely for: (1) data sources; (2) data pre-processing; (3) identifying fishing trips; (4) methods to infer fishing activity; (5) model validation and procedures and (6) fishing effort indicators. Both methods using statistical procedures and machine learning have been addressed. Finally, r scripts to do the procedures were assembled and stored in a GitHub repository. It was concluded that in the case of SSF and static gears, higher resolution tracking data (seconds-minutes) is required to properly estimate fishing effort, and that more work is needed to further develop and explore the methods to classify these type of data into fishing activities for different types of gears. The current workshop should be seen as a starting point. One of the objectives of the WKSSFGEO was to provide information, show the gaps and highlight the important aspects for the EU-legislation on the collection of this type of data (SSF tracking) which is currently being developed, which was fully addressed.

• DOI: 10.17895/ices.pub.10032

Zitiere diese Aktivität

@book{Bente2022,
  Title = {Workshop on Geo-Spatial Data for Small-Scale Fisheries (WKSSFGEO)},
  Author = {Bente, Luís Manuel Correia Ferreira and Breen, Patricia and Campbell, Neil and Cano, Daniel and Carvalho, Andre and Danhiez, François and Edwards, Dan and Egekvist, Josefine and Fennell, Hannah and Franceschin, Gianluca and Galdelli, Alessandro and Gil, Maria Mar and Glemarec, Gildas and Hague, Emily and Harper Jone, Cherry and Henriques, Nuno Henrique and Hinz, Hilmar and Hjörleifsson, Einar and Holah, Helen and Jonsson, Patrik and Katara, Isidora and Kavada, Stefanos and Kriegl, Michael and Leitão, Pedro and Maina, Irida and Mancini, Adriano and Martin, Guillermo and Martinez, Roi and Mateo, Maria and Mujal-Colilles, Anna and Olsen, Jeppe and Pulcinell, Jacopo and Punzón, Antonio and Rodriguez, Jose and Rodriguez, Julien and Rufino, Marta Mega and Salvany, Lara and Schulze, Torsten and Silva, Daniela and Stounberg, Jonathan and Tassetti, Anna Nora and Tully, Oliver and Vasapollo, Claudio and von Dorrien, Christian},
  Editor = {Egekvist, J. and Rufino, M.M.},
  Year = {2022},
  Doi = {10.17895/ices.pub.10032},
  Abstract = {The aim of the workshop on Geo-Spatial Data for Small-Scale Fisheries (WKSSFGEO) was to discuss methods for working with high-resolution geo-spatial data in small-scale fisheries (SSF) as well as large-scale fisheries (LSF) with low duration of fishing events.
Several case studies using this kind of data, obtained from national data collection programmes or research projects were presented during the workshop. There was a large variety of approaches to estimate fishing effort using high resolution data being implemented by the different countries, most still under development, which led to important and fruitful discussions to start building a common framework. During the workshop, it became clear that a common terminology was essential and should be established, and therefore the group built a terminology table based on definitions found in legislation and reports. The main steps needed to estimate fishing effort were summarised, and for each step, the different approaches were listed, namely for: (1) data sources; (2) data pre-processing; (3) identifying fishing trips; (4) methods to infer fishing activity; (5) model validation and procedures and (6) fishing effort indicators. Both methods using statistical procedures and machine learning have been addressed. Finally, r scripts to do the procedures were assembled and stored in a GitHub repository. It was concluded that in the case of SSF and static gears, higher resolution tracking data (seconds-minutes) is required to properly estimate fishing effort, and that more work is needed to further develop and explore the methods to classify these type of data into fishing activities for different types of gears. The current workshop should be seen as a starting point. One of the objectives of the WKSSFGEO was to provide information, show the gaps and highlight the important aspects for the EU-legislation on the collection of this type of data (SSF tracking) which is currently being developed, which was fully addressed.},
}

TY  - BOOK
AU  - Bente, Luís Manuel Correia Ferreira
AU  - Breen, Patricia
AU  - Campbell, Neil
AU  - Cano, Daniel
AU  - Carvalho, Andre
AU  - Danhiez, François
AU  - Edwards, Dan
AU  - Egekvist, Josefine
AU  - Fennell, Hannah
AU  - Franceschin, Gianluca
AU  - Galdelli, Alessandro
AU  - Gil, Maria Mar
AU  - Glemarec, Gildas
AU  - Hague, Emily
AU  - Harper Jone, Cherry
AU  - Henriques, Nuno Henrique
AU  - Hinz, Hilmar
AU  - Hjörleifsson, Einar
AU  - Holah, Helen
AU  - Jonsson, Patrik
AU  - Katara, Isidora
AU  - Kavada, Stefanos
AU  - Kriegl, Michael
AU  - Leitão, Pedro
AU  - Maina, Irida
AU  - Mancini, Adriano
AU  - Martin, Guillermo
AU  - Martinez, Roi
AU  - Mateo, Maria
AU  - Mujal-Colilles, Anna
AU  - Olsen, Jeppe
AU  - Pulcinell, Jacopo
AU  - Punzón, Antonio
AU  - Rodriguez, Jose
AU  - Rodriguez, Julien
AU  - Rufino, Marta Mega
AU  - Salvany, Lara
AU  - Schulze, Torsten
AU  - Silva, Daniela
AU  - Stounberg, Jonathan
AU  - Tassetti, Anna Nora
AU  - Tully, Oliver
AU  - Vasapollo, Claudio
AU  - von Dorrien, Christian
ED  - Egekvist, Josefine
ED  - Rufino, Marta Mega
TI  - Workshop on Geo-Spatial Data for Small-Scale Fisheries (WKSSFGEO)
PY  - 2022
DO  - 10.17895/ices.pub.10032
AB  - The aim of the workshop on Geo-Spatial Data for Small-Scale Fisheries (WKSSFGEO) was to discuss methods for working with high-resolution geo-spatial data in small-scale fisheries (SSF) as well as large-scale fisheries (LSF) with low duration of fishing events.
Several case studies using this kind of data, obtained from national data collection programmes or research projects were presented during the workshop. There was a large variety of approaches to estimate fishing effort using high resolution data being implemented by the different countries, most still under development, which led to important and fruitful discussions to start building a common framework. During the workshop, it became clear that a common terminology was essential and should be established, and therefore the group built a terminology table based on definitions found in legislation and reports. The main steps needed to estimate fishing effort were summarised, and for each step, the different approaches were listed, namely for: (1) data sources; (2) data pre-processing; (3) identifying fishing trips; (4) methods to infer fishing activity; (5) model validation and procedures and (6) fishing effort indicators. Both methods using statistical procedures and machine learning have been addressed. Finally, r scripts to do the procedures were assembled and stored in a GitHub repository. It was concluded that in the case of SSF and static gears, higher resolution tracking data (seconds-minutes) is required to properly estimate fishing effort, and that more work is needed to further develop and explore the methods to classify these type of data into fishing activities for different types of gears. The current workshop should be seen as a starting point. One of the objectives of the WKSSFGEO was to provide information, show the gaps and highlight the important aspects for the EU-legislation on the collection of this type of data (SSF tracking) which is currently being developed, which was fully addressed.
ER  - 

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