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Grant: Discovery Grants Program - Individual

Université d'Ottawa

$59,000.00

Modelling population and community dynamics under environmental change

FY 2023-24

Summary
Many biological populations and communities reside in ever changing, dynamic environments, driven by long-term trends in abiotic environmental conditions, such as increasing landscape fragmentation, decreasing habitat quality, or increasing mean temperatures. These trends have negative consequences for some populations, possibly leading to their extinction, and create opportunities for others, possibly leading to range expansions; both can lead to loss of biodiversity and of ecosystem services. We need tools to predict how populations and communities respond to changing environmental conditions in order to successfully manage these systems, adapt and mitigate. The first objective of this proposal is to develop general theory for how populations and communities respond to long-term trends in environmental conditions and for how imminent changes in their dynamics can be detected. Many species live in seasonally varying environments, characterized by recurring patterns of, say, temperature and precipitation, especially in temperate and northern climates and certainly in Canada. Different species have developed different adaptations to these historically predictably recurring conditions, but these conditions change and become increasingly less predictable. Cold seasons become shorter, warm seasons longer, extreme weather events more likely, and temperature patterns exhibit stronger autocorrelation over time. Differential responses of populations to changes in seasonal patterns can lead to changes in interaction networks with other species and alterations to existing community structure. One particular area of great concern in this context are forest insect pests. For example, under historical conditions, budburst of black spruce occurs late relative to the spring development of spruce budworm, so that black spruce is somewhat protected from consumption by budworm and defoliation. Concerns are that budburst of black spruce could advance enough to make it vulnerable to spruce budworm, which could eventually trigger large-scale outbreaks, defoliation and tree death in regions of the boreal forest that have not seen budworm outbreaks historically. The second objective of this proposal is to study specifically the effects of changing seasonal patterns on species interaction. With my diverse and inclusive team of trainees, I will address these challenges through carefully designing mathematical models (hybrid dynamical systems) and developing tools to analyze them and connect them to data. My trainees thrive in my supportive lab and network of collaborators in academia and government. Their integrative training of transferable skills enables them to take up impactful positions in academia, government, and industry to benefit Canadians. The research will enhance our understanding of the effects of climate and land-use change on populations and communities and allow managers to optimize their strategies to preserve biodiversity and ecosystem function.
Program
Discovery Grants Program - Individual
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
RGPIN-2023-03872
Name nom
Lutscher, Frithjof
Department département
Mathematics and Statistics
Organization id
28
Institution établissement
Université d'Ottawa
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
59000
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
407
Area of application group en
Environment
Area of application group fr
Environnement
Area of application en
Conservation and preservation
Area of application fr
Conservation et préservation
Research subject code
2957
Research subject group en
Applied mathematics
Research subject group fr
Mathematical biology and physiology
Research subject en
Mathématiques appliquées
Research subject fr
Mathématiques de la biologie et de la physiologie
Application title
Modelling population and community dynamics under environmental change
Keyword
consumer-resource model; dynamical systems; eco-evolutionary model; eco-physiological model; mathematical modelling; Population dynamics; population spread; range expansion; seasonal variation; transient dynamics
Application summary
Many biological populations and communities reside in ever changing, dynamic environments, driven by long-term trends in abiotic environmental conditions, such as increasing landscape fragmentation, decreasing habitat quality, or increasing mean temperatures. These trends have negative consequences for some populations, possibly leading to their extinction, and create opportunities for others, possibly leading to range expansions; both can lead to loss of biodiversity and of ecosystem services. We need tools to predict how populations and communities respond to changing environmental conditions in order to successfully manage these systems, adapt and mitigate. The first objective of this proposal is to develop general theory for how populations and communities respond to long-term trends in environmental conditions and for how imminent changes in their dynamics can be detected. Many species live in seasonally varying environments, characterized by recurring patterns of, say, temperature and precipitation, especially in temperate and northern climates and certainly in Canada. Different species have developed different adaptations to these historically predictably recurring conditions, but these conditions change and become increasingly less predictable. Cold seasons become shorter, warm seasons longer, extreme weather events more likely, and temperature patterns exhibit stronger autocorrelation over time. Differential responses of populations to changes in seasonal patterns can lead to changes in interaction networks with other species and alterations to existing community structure. One particular area of great concern in this context are forest insect pests. For example, under historical conditions, budburst of black spruce occurs late relative to the spring development of spruce budworm, so that black spruce is somewhat protected from consumption by budworm and defoliation. Concerns are that budburst of black spruce could advance enough to make it vulnerable to spruce budworm, which could eventually trigger large-scale outbreaks, defoliation and tree death in regions of the boreal forest that have not seen budworm outbreaks historically. The second objective of this proposal is to study specifically the effects of changing seasonal patterns on species interaction. With my diverse and inclusive team of trainees, I will address these challenges through carefully designing mathematical models (hybrid dynamical systems) and developing tools to analyze them and connect them to data. My trainees thrive in my supportive lab and network of collaborators in academia and government. Their integrative training of transferable skills enables them to take up impactful positions in academia, government, and industry to benefit Canadians. The research will enhance our understanding of the effects of climate and land-use change on populations and communities and allow managers to optimize their strategies to preserve biodiversity and ecosystem function.