Grant: Discovery Grants Program - Individual
University of New Brunswick
$56,000.00
Modelling the effects of dispersal on metacommunity dynamics
FY 2024-25
Summary
My proposed research will focus on understanding how dispersal of species affect the metacommunity dynamics of ecological systems. Random dispersal and density-dependent (fitness-dependent) dispersal among multiple distinct communities will be considered. Models under consideration include (i) predator-prey models, (ii) competition models, (iii) intraguild predation models and (iv) infectious disease models. Various dispersal patterns resulting in different configurations of network topology will be studied. I seek to quantify the role of dispersal on (1) the existence and stability of equilibria, especially the coexistence equilibria, (2) persistence and extinction, (3) the transient spatiotemporal dynamics and (4) the asymptotic spatiotemporal dynamics. I also study the impacts of the interplay between dispersal patterns and dispersal strategies, and attempt to identify the ecological factors that give rise to the frequently observed complex behavior such as fluctuations and chaos in ecosystems.
This program plans to train 6 graduate and 4 undergraduate HQP and 2 postdoctoral fellows. Closely working with these HQPs, I will develop novel mathematical and computational techniques to deal with complex nonlinear systems and make use of big data science to fit and validate proposed models. The expected new results will promote our understanding on how ecological dispersal affects the metacommunity's transient (short-term) and asymptotic (long-term) spatiotemporal dynamics and lead to useful insights on management of ecosystems.
Program
Discovery Grants Program - Individual
Recipient
Location
New Brunswick, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
RGPIN-2020-04143
Name nom
Wang, Lin
Department département
Mathematics and Statistics - Fredericton - Mathematics and Statistics - Fredericton
Organization id
75
Institution établissement
University of New Brunswick
Province en
New Brunswick
Province fr
Nouveau-Brunswick
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2020
Award amount
56000
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
1002
Area of application group en
Northern development
Area of application group fr
Développement du nord
Area of application en
Environment
Area of application fr
Environnement
Research subject code
4700
Research subject group en
Evolution and ecology
Research subject group fr
Évolution et écologie
Research subject en
Evolution and ecology
Research subject fr
Évolution et écologie
Field of research list names en
Not available
Field of research list names fr
Non disponible
Socioeconomic objective list names en
Not available
Socioeconomic objective list names fr
Non disponible
Application title
Modelling the effects of dispersal on metacommunity dynamics
Keywords
metacommunity dynamics; dispersal; stability; persistence; extinction; transient dynamics; asymptotic dynamics; equilibrium; spatiotemporal dynamics
Application summary
My proposed research will focus on understanding how dispersal of species affect the metacommunity dynamics of ecological systems. Random dispersal and density-dependent (fitness-dependent) dispersal among multiple distinct communities will be considered. Models under consideration include (i) predator-prey models, (ii) competition models, (iii) intraguild predation models and (iv) infectious disease models. Various dispersal patterns resulting in different configurations of network topology will be studied. I seek to quantify the role of dispersal on (1) the existence and stability of equilibria, especially the coexistence equilibria, (2) persistence and extinction, (3) the transient spatiotemporal dynamics and (4) the asymptotic spatiotemporal dynamics. I also study the impacts of the interplay between dispersal patterns and dispersal strategies, and attempt to identify the ecological factors that give rise to the frequently observed complex behavior such as fluctuations and chaos in ecosystems.
This program plans to train 6 graduate and 4 undergraduate HQP and 2 postdoctoral fellows. Closely working with these HQPs, I will develop novel mathematical and computational techniques to deal with complex nonlinear systems and make use of big data science to fit and validate proposed models. The expected new results will promote our understanding on how ecological dispersal affects the metacommunity's transient (short-term) and asymptotic (long-term) spatiotemporal dynamics and lead to useful insights on management of ecosystems.