Grant: Discovery Grants Program - Individual
Acadia University
$24,000.00
Detection and avoidance of tidal turbines by fishes
FY 2017-18
Summary
My research program focuses on the impact of industrial developments in the coastal zone on migratory fish resources. Complex interactions between fishes and large (large dams, causeways, bridges) and small (culverts, fishways) scale obstructions occur in most freshwater systems, but are difficult to quantify due to a lack of equipment that can provide accurate and precise 3-d data on fish behaviour. A new global challenge for fish migration is the development of tidal energy infrastructure in the marine environment. If there is spatial and temporal overlap between operating turbines and migratory fishes, we need to determine if fishes are able to detect and avoid turbines in their path. If they cannot avoid the turbines what is the impact of fish-turbine interaction on fish health and survival? The type of turbine, current speed and fish behaviour are critical components necessary to accurately construct and validate fish-turbine collision models. In this research program, we will use a collaborative stepwise process to: 1) test new innovative acoustic tagging technology in high noise environments; 2) develop an appropriate array geometry for tracking tagged fishes on a scale of 100s of m with a predicted 3-d positional accuracy of 0.2 m; and 3) tag migratory benthic and pelagic fishes to quantify their ability to detect and avoid operating tidal turbines at varying current speeds. Fish have been shown at low current speeds to change orientation, depth and direction when approaching a turbine. We predict that changes in behaviour will be obvious when data from fish approaching a turbine and data from fish not in the direct vicinity of a turbine are compared. Results will inform predictive models of fish-turbine interactions at variable current speeds. The results of this program will be generally applicable to prediction of effects of tidal energy extraction on species and species groups in high energy environments globally. The proper prediction of negative effects of tidal turbine operation on fish resources is critical to the Canadian economy. For example, in the Atlantic Provinces alone in 2012, 616,944 mt of fish were harvested, with a value of $977 million and employment of 61,256 people. So, the economic effect of reducing the health and abundance of already stressed commercial fish resources is likely to have a large effect on coastal economies, and Canadas economy as a whole. Our inability to effectively predict the negative effects of operation of tidal turbines on migratory fish health keeps us from understanding the full range of biological consequences of tidal power developments. Moreover, the lack of credible scientific data on the potential impacts of tidal power will delay the decision-making process on a technology that shows promise for reducing carbon emissions, and for which Canada could become a global leader in the production of tidal power infrastructure for the coastal zone.
Program
Discovery Grants Program - Individual
Recipient
Location
Nova Scotia, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
RGPIN-2017-04301
Name nom
Stokesbury, Michael
Department département
Biology - Biology
Organization id
78
Institution établissement
Acadia University
Province en
Nova Scotia
Province fr
Nouvelle-Écosse
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2017
Competition year année de concours
2017
Award amount
24000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1503
Committee name en
Evolution and Ecology
Committee name fr
Évolution et écologie
Area of application code
407
Area of application group en
Environment
Area of application group fr
Environnement
Area of application en
Conservation and preservation
Area of application fr
Conservation et préservation
Research subject code
4701
Research subject group en
Evolution and ecology
Research subject group fr
Évolution et écologie
Research subject en
Animal ecology
Research subject fr
Écologie animale
Partie
1
Nb partie
5
Application title
Detection and avoidance of tidal turbines by fishes
Keyword
NSERC
Application summary
My research program focuses on the impact of industrial developments in the coastal zone on migratory fish resources. Complex interactions between fishes and large (large dams, causeways, bridges) and small (culverts, fishways) scale obstructions occur in most freshwater systems, but are difficult to quantify due to a lack of equipment that can provide accurate and precise 3-d data on fish behaviour. A new global challenge for fish migration is the development of tidal energy infrastructure in the marine environment. If there is spatial and temporal overlap between operating turbines and migratory fishes, we need to determine if fishes are able to detect and avoid turbines in their path. If they cannot avoid the turbines what is the impact of fish-turbine interaction on fish health and survival? The type of turbine, current speed and fish behaviour are critical components necessary to accurately construct and validate fish-turbine collision models. In this research program, we will use a collaborative stepwise process to: 1) test new innovative acoustic tagging technology in high noise environments; 2) develop an appropriate array geometry for tracking tagged fishes on a scale of 100s of m with a predicted 3-d positional accuracy of 0.2 m; and 3) tag migratory benthic and pelagic fishes to quantify their ability to detect and avoid operating tidal turbines at varying current speeds. Fish have been shown at low current speeds to change orientation, depth and direction when approaching a turbine. We predict that changes in behaviour will be obvious when data from fish approaching a turbine and data from fish not in the direct vicinity of a turbine are compared. Results will inform predictive models of fish-turbine interactions at variable current speeds. The results of this program will be generally applicable to prediction of effects of tidal energy extraction on species and species groups in high energy environments globally. The proper prediction of negative effects of tidal turbine operation on fish resources is critical to the Canadian economy. For example, in the Atlantic Provinces alone in 2012, 616,944 mt of fish were harvested, with a value of $977 million and employment of 61,256 people. So, the economic effect of reducing the health and abundance of already stressed commercial fish resources is likely to have a large effect on coastal economies, and Canadas economy as a whole. Our inability to effectively predict the negative effects of operation of tidal turbines on migratory fish health keeps us from understanding the full range of biological consequences of tidal power developments. Moreover, the lack of credible scientific data on the potential impacts of tidal power will delay the decision-making process on a technology that shows promise for reducing carbon emissions, and for which Canada could become a global leader in the production of tidal power infrastructure for the coastal zone.