Grant: Discovery Grants Program - Individual
The University of Western Ontario
$51,000.00
Developing New Methods for Analysing Complex Data from Mark-Recapture, Occupancy, and Animal Movement Studies
EF 2023-24
Résumé
A recent study found that almost 15% of the world's approximately 10,000 species of birds are threatened with extinction due to climate change, habitat loss, overharvesting of food sources, and other human activities. The same is also true for many other species of animal. Developing plans to save these species requires us to understand the complex relationships that species have with their environment and the ways in which we affect them both directly and indirectly. Many ongoing studies are being conducted to monitor threatened species and new methods of following animals are being developed. For example, the Motus wildlife tracking system is a unique collaborative project lead by Birds Canada that allows tracking of small neo-tropical migrant birds that breed in Canada during the summer and spend the winters in Central and South America. Data produced from these studies are often very complex, and advanced statistical methods are required to model the uncertainty in natural systems, link what we observe in the data back to the natural world, and make decisions in the face of complexity. I develop and apply novel statistical methodology to analyse data from complex ecological studies and to help us to understand the behaviour of wild animals and the impacts we have on their populations. I work particularly closely with ornithologists collecting data about birds, but the methods I develop can be applied generally to species across the animal kingdom. My work is important because it contributes to our understanding of threatened species and ultimately helps to develop strong conservation plans that will help to protect the natural world.
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
RGPIN-2023-03894
Name nom
Bonner, Simon
Department département
Department of Statistical and Actuarial Sciences
Organization id
36
Institution établissement
The University of Western Ontario
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2023
Competition year année de concours
2023
Award amount
51000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
DISCOVERY RESEARCH
Group fr
RECHERCHE AXÉE SUR LA DÉCOUVERTE
Committee code
1503
Committee name en
Evolution and Ecology
Committee name fr
Évolution et écologie
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
3000
Research subject group en
Statistics and probability
Research subject group fr
Statistics and probability
Research subject en
Statistique et probabilité
Research subject fr
Statistique et probabilité
Application title
Developing New Methods for Analysing Complex Data from Mark-Recapture, Occupancy, and Animal Movement Studies
Keyword
Animal distribution; Animal movement models; Bayesian methods; Capture-mark-recapture; Computational statistics; Ecological statistics; Migration; Population estimation; Quantitative methods for ecology; Wildlife management
Application summary
A recent study found that almost 15% of the world's approximately 10,000 species of birds are threatened with extinction due to climate change, habitat loss, overharvesting of food sources, and other human activities. The same is also true for many other species of animal. Developing plans to save these species requires us to understand the complex relationships that species have with their environment and the ways in which we affect them both directly and indirectly. Many ongoing studies are being conducted to monitor threatened species and new methods of following animals are being developed. For example, the Motus wildlife tracking system is a unique collaborative project lead by Birds Canada that allows tracking of small neo-tropical migrant birds that breed in Canada during the summer and spend the winters in Central and South America. Data produced from these studies are often very complex, and advanced statistical methods are required to model the uncertainty in natural systems, link what we observe in the data back to the natural world, and make decisions in the face of complexity. I develop and apply novel statistical methodology to analyse data from complex ecological studies and to help us to understand the behaviour of wild animals and the impacts we have on their populations. I work particularly closely with ornithologists collecting data about birds, but the methods I develop can be applied generally to species across the animal kingdom. My work is important because it contributes to our understanding of threatened species and ultimately helps to develop strong conservation plans that will help to protect the natural world.