Grant: Canada Research Chairs
The University of British Columbia
$100,000.00
Statistical ecology
FY 2024-25
Summary
Biodiversity loss due to rising human pressures is a concern around the world. Protecting habitat is an important strategy used to conserve species and preserve biodiversity but its effectiveness is hindered by many challenges, including perceived lack of information and a shortage of studies linking particular habitats to population viability.
Dr. Marie Auger-Méthé, Canada Research Chair in Statistical Ecology, is working to overcome these challenges by developing hierarchical statistical models that can identify urgently needed critical habitat using existing and easy-to-collect information, as well as developing methods that employ more complex datasets that pinpoint the specific areas important to healthy and reproductive animals. She and her research group are also investigating ways to improve the underlying statistical methodologies needed to ensure that these tools are effective and accurate.
To develop and demonstrate their statistical methods, and ensure their work makes an impact on conservation and biodiversity protection, Dr. Auger-Méthé and her team use ecologically, economically, and culturally important species as case studies. They use a combination of widely accessible spatial data (e.g. encounters noted by whale watch operators), data they collect themselves (e.g. movement data from tagging studies), and data collected by their academic and government partners.
Dr. Auger-Méthé’s research will provide the tools needed to clear common roadblocks to conservation worldwide, and will directly improve the management of important species in Canada. Because the kinds of statistical methods she and her team develop are commonly used in medical science, physics, finance, engineering, linguistics and many other fields, their work will have impacts beyond its ecological and conservation applications.
Program
Canada Research Chairs
Recipient
Location
British Columbia, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
CRC-2022-00264
Name nom
Auger-Méthé, Marie
Department département
Department of Statistics and Institute for the Oceans and Fisheries - The University of British Columbia
Organization id
2
Institution établissement
The University of British Columbia
Province en
British Columbia
Province fr
Colombie-Britannique
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2022
Award amount
100000
Program id
CRC
Program name en
Canada Research Chairs
Program name fr
Chaires de recherche du Canada
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
9998
Committee name en
Canada Research Chair Selection Committee
Committee name fr
Comité de sélection des Chaires de recherche du Canada
Area of application code
9999
Area of application group en
Not available
Area of application group fr
Non disponible
Area of application en
Not available
Area of application fr
Non disponible
Research subject code
9999
Research subject group en
Not available
Research subject group fr
Non disponible
Research subject en
Not available
Research subject fr
Non disponible
Field of research list codes
RDF1060311
Field of research list names en
Ecological mathematical and statistical models
Field of research list names fr
Modèles mathématiques et statistiques appliqués à l'écologie
Socioeconomic objective list codes
RDS10299
Socioeconomic objective list names en
Environment protection, n.e.c.
Socioeconomic objective list names fr
Protection de l'environnement, n.c.a.
Application title
Statistical ecology
Keywords
Statistical ecology; Movement ecology; Behavioural ecology; Conservation; Time series models; Hidden Markov models; State-space models
Application summary
Biodiversity loss due to rising human pressures is a concern around the world. Protecting habitat is an important strategy used to conserve species and preserve biodiversity but its effectiveness is hindered by many challenges, including perceived lack of information and a shortage of studies linking particular habitats to population viability.
Dr. Marie Auger-Méthé, Canada Research Chair in Statistical Ecology, is working to overcome these challenges by developing hierarchical statistical models that can identify urgently needed critical habitat using existing and easy-to-collect information, as well as developing methods that employ more complex datasets that pinpoint the specific areas important to healthy and reproductive animals. She and her research group are also investigating ways to improve the underlying statistical methodologies needed to ensure that these tools are effective and accurate.
To develop and demonstrate their statistical methods, and ensure their work makes an impact on conservation and biodiversity protection, Dr. Auger-Méthé and her team use ecologically, economically, and culturally important species as case studies. They use a combination of widely accessible spatial data (e.g. encounters noted by whale watch operators), data they collect themselves (e.g. movement data from tagging studies), and data collected by their academic and government partners.
Dr. Auger-Méthé’s research will provide the tools needed to clear common roadblocks to conservation worldwide, and will directly improve the management of important species in Canada. Because the kinds of statistical methods she and her team develop are commonly used in medical science, physics, finance, engineering, linguistics and many other fields, their work will have impacts beyond its ecological and conservation applications.