Grant: Collaborative Research and Development Grants
University of Alberta
$145,625.00
Improving methodologies for monitoring terrestrial biodiversity and supporting environmental management in Alberta's Oil Sands region
EF 2015-16
Résumé
Development of Alberta's Oil Sands resources is of economic importance to Canada but necessitates prudent management of the cumulative impacts valuable boreal ecosystems. Successful management in turn depends on reliable monitoring of biodiversity. The energy industry expends considerable time and money monitoring biodiversity in the Oil Sands, but the return on this investment has been limited by a lack of standardized methodologies and coordinated implementation. Regional monitoring programs, such as the Alberta Biodiversity Monitoring Institute, are designed to track long-term biodiversity trends over large areas, but their results provide only partial information for addressing the needs of individual energy developments. We propose to conduct research designed to effectively link biodiversity monitoring from the scale of local energy projects to broader cumulative effects in the Oil Sands region. We will test new sampling protocols using automated survey technologies to improve standardized monitoring of both rare and common species. These protocols will be applied within a monitoring framework designed to address both shorter-term, localized impacts and longer-term cumulative changes. We will also develop dependable models of animal and plant responses to landscape change to inform impact assessment and management planning, and we will test novel statistical approaches for obtaining better information on wildlife population abundances. This project will provide new tools for use in improving environmental monitoring and management in Canada's Oil Sands and beyond. Such improvements will facilitate efforts to meet economic objectives while safeguarding the environment, thereby benefitting industry and the Canadian public.
Programme
Collaborative Research and Development Grants
Bénéficiaire
Emplacement
Alberta, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
446660-2012
Name nom
Bayne, Erin
Department département
Biological Sciences
Organization id
9
Institution établissement
University of Alberta
Province en
Alberta
Province fr
Alberta
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2015
Competition year année de concours
2012
Award amount
145625
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
408
Area of application group en
Environment
Area of application group fr
Environnement
Area of application en
Wildlife management
Area of application fr
Gestion de la faune
Research subject code
4710
Research subject group en
Evolution and ecology
Research subject group fr
Évolution et écologie
Research subject en
Terrestrial ecology
Research subject fr
Écologie terrestre
Partie
2
Nb partie
4
Application title
Improving methodologies for monitoring terrestrial biodiversity and supporting environmental management in Alberta's Oil Sands region
Keyword
NSERC
Application summary
Development of Alberta's Oil Sands resources is of economic importance to Canada but necessitates prudent management of the cumulative impacts valuable boreal ecosystems. Successful management in turn depends on reliable monitoring of biodiversity. The energy industry expends considerable time and money monitoring biodiversity in the Oil Sands, but the return on this investment has been limited by a lack of standardized methodologies and coordinated implementation. Regional monitoring programs, such as the Alberta Biodiversity Monitoring Institute, are designed to track long-term biodiversity trends over large areas, but their results provide only partial information for addressing the needs of individual energy developments. We propose to conduct research designed to effectively link biodiversity monitoring from the scale of local energy projects to broader cumulative effects in the Oil Sands region. We will test new sampling protocols using automated survey technologies to improve standardized monitoring of both rare and common species. These protocols will be applied within a monitoring framework designed to address both shorter-term, localized impacts and longer-term cumulative changes. We will also develop dependable models of animal and plant responses to landscape change to inform impact assessment and management planning, and we will test novel statistical approaches for obtaining better information on wildlife population abundances. This project will provide new tools for use in improving environmental monitoring and management in Canada's Oil Sands and beyond. Such improvements will facilitate efforts to meet economic objectives while safeguarding the environment, thereby benefitting industry and the Canadian public.