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Grant: Collaborative Research and Development Grants

Acadia University

$136,000.00

Developing regional-scale models of migratory bird movements to improve siting decisions for wind farms and other industrial infrastructure_x000d_ _x000d_

FY 2020-21

Summary
We are using an array of existing and new sensors that is designed to track migratory birds throughout the southern half of the province of New Brunswick. The sensors include small microphones (audiomoths) that can be used to detect the calls of migratory birds as they fly overhead, large weather radars, that provide a very broad-scale overview of where birds stop during migration, and the routes and altitudes at which they fly, small marine radars which can provide a very fine-scale picture of how birds move over smaller (2 x 2 km) areas, and automated telemetry receivers that can track birds with very light weight VHF transmitters. We will examine the patterns of movements of a range of species, from shorebirds, to thrushes, swallows, warblers and seaducks, and relate those patterns of movement to geographical features (coastlines), topographical features (hills and valleys) and weather. The resulting data will be used in statistical models to improve our ability to predict where birds fly under various weather conditions (and times of year) which will be used to help predict good and bad places for large industrial infrastructure such as wind farms. The data will also provide a new, unprecedented picture of how a range of species move through the landscape during migration, which will add to our knowledge and understanding of the process of bird migration.
Program
Collaborative Research and Development Grants
Location
Nova Scotia, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
543678-2019
Name nom
Taylor, Philip
Department département
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
2020
Competition year année de concours
2019
Award amount
136000
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
409
Area of application group en
Environment
Area of application group fr
Environnement
Area of application en
Environmental impact of economic activities (including agriculture)
Area of application fr
Effet des activités économiques sur l'environnement (y compris agriculture)
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
Installment
inst:2 - 2
Partie
1
Nb partie
2
Application title
Developing regional-scale models of migratory bird movements to improve siting decisions for wind farms and other industrial infrastructure_x000d_ _x000d_
Keyword
NSERC
Application summary
We are using an array of existing and new sensors that is designed to track migratory birds throughout the southern half of the province of New Brunswick. The sensors include small microphones (audiomoths) that can be used to detect the calls of migratory birds as they fly overhead, large weather radars, that provide a very broad-scale overview of where birds stop during migration, and the routes and altitudes at which they fly, small marine radars which can provide a very fine-scale picture of how birds move over smaller (2 x 2 km) areas, and automated telemetry receivers that can track birds with very light weight VHF transmitters. We will examine the patterns of movements of a range of species, from shorebirds, to thrushes, swallows, warblers and seaducks, and relate those patterns of movement to geographical features (coastlines), topographical features (hills and valleys) and weather. The resulting data will be used in statistical models to improve our ability to predict where birds fly under various weather conditions (and times of year) which will be used to help predict good and bad places for large industrial infrastructure such as wind farms. The data will also provide a new, unprecedented picture of how a range of species move through the landscape during migration, which will add to our knowledge and understanding of the process of bird migration.