Grant: Applied Research and Development Grants - Level 1
Nova Scotia Community College
$25,000.00
Developing innovative methods for improved scallop har
FY 2016-17
Summary
Many near-shore fishing companies are facing increasing economic challenges with rising costs of fishing operations, coupled with the need to implement stock harvest strategies that ensure the sustainability of fish stocks with minimal environmental impact of fishing methods. Addressing this business challenge requires the development of innovative fish harvesting strategies. For the scallop fishery, one approach is to develop methods for generating maps of the seafloor showing predicted distributions of the targeted species. NSCC will partner with LBM Fisheries Ltd. (LBM) in this research project to develop and test methods for generating predictive maps of scallop habitat within a test area in the Bay of Fundy. The use of such maps will allow LBM to better target scallop habitat thereby increasing fishing efficiency (i.e. improve catches, reduced effort, minimize gear loss) and will reduce the bottom contact time of fishing gear, thus providing environmental benefits (e.g. reduce spatial footprint of the fishery, bycatch, and impact on non-target habitats). A variety of habitat modelling techniques will be tested using existing multibeam echosounder (MBES) data from the test area, in conjunction with newly collected underwater video data collected as part of this project. Map validation through directed fishing operations will allow LBM to assess the benefits that this novel approach can offer the company. It is anticipated that the project will provide the development of efficient and sustainable resource harvesting strategies for sea scallop within the region, with subsequent commercial and environmental benefits provided to the company. Project results will also be shared with other fishing companies operating under the Full Bay Scallop Association (the corresponding industry association for the geographical region), providing additional regional benefits to the wider near-shore fishing industry operating in this area. Evaluation of this general approach within the context of fisheries resource mapping offers potential longer term benefits to Canada through application of these mapping technologies and further refinement of the data integration methodologies for other Canadian fisheries.
Program
Applied Research and Development Grants - Level 1
Recipient
Location
Nova Scotia, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
502200-2016
Name nom
Campbell, Anne
Department département
Head Office
Organization id
16240
Institution établissement
Nova Scotia Community College
Province en
Nova Scotia
Province fr
Nouvelle-Écosse
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2016
Competition year année de concours
2016
Award amount
25000
Program id
CARD1
Program name en
Applied Research and Development Grants - Level 1
Program name fr
Subventions de recherche et développement appliquée - niveau 1
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
1561
Committee name en
Applied Research and Development Grants
Committee name fr
Subventions de recherche et développement appliquée
Area of application code
203
Area of application group en
Natural resources (economic aspects)
Area of application group fr
Ressources naturelles (aspects économiques)
Area of application en
Commercial fisheries
Area of application fr
Pêche commerciale
Research subject code
4602
Research subject group en
Oceanography
Research subject group fr
Océanographie
Research subject en
Biological oceanography
Research subject fr
Océanographie biologique
Partie
1
Nb partie
1
Application title
Developing innovative methods for improved scallop har
Keyword
NSERC
Application summary
Many near-shore fishing companies are facing increasing economic challenges with rising costs of fishing operations, coupled with the need to implement stock harvest strategies that ensure the sustainability of fish stocks with minimal environmental impact of fishing methods. Addressing this business challenge requires the development of innovative fish harvesting strategies. For the scallop fishery, one approach is to develop methods for generating maps of the seafloor showing predicted distributions of the targeted species. NSCC will partner with LBM Fisheries Ltd. (LBM) in this research project to develop and test methods for generating predictive maps of scallop habitat within a test area in the Bay of Fundy. The use of such maps will allow LBM to better target scallop habitat thereby increasing fishing efficiency (i.e. improve catches, reduced effort, minimize gear loss) and will reduce the bottom contact time of fishing gear, thus providing environmental benefits (e.g. reduce spatial footprint of the fishery, bycatch, and impact on non-target habitats). A variety of habitat modelling techniques will be tested using existing multibeam echosounder (MBES) data from the test area, in conjunction with newly collected underwater video data collected as part of this project. Map validation through directed fishing operations will allow LBM to assess the benefits that this novel approach can offer the company. It is anticipated that the project will provide the development of efficient and sustainable resource harvesting strategies for sea scallop within the region, with subsequent commercial and environmental benefits provided to the company. Project results will also be shared with other fishing companies operating under the Full Bay Scallop Association (the corresponding industry association for the geographical region), providing additional regional benefits to the wider near-shore fishing industry operating in this area. Evaluation of this general approach within the context of fisheries resource mapping offers potential longer term benefits to Canada through application of these mapping technologies and further refinement of the data integration methodologies for other Canadian fisheries.