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Grant: Discovery Grants Program - Individual

Wilfrid Laurier University

$33,000.00

Quantifying and projecting boreal mammal response to landscape change

FY 2024-25

Summary
Climate-induced landscape change is restructuring ecosystems resulting in biodiversity declines reminiscent of previous extinctions. This is compounded by anthropogenic disturbance as resource extractions expand into northern regions. Yet biodiversity management, protection, and conservation does not include anticipated future change affecting multi-species persistence. Canadian wildlife represent important nutritional, cultural, and symbolic sources for northern people and global conservation. These animals inhabit an ecosystem where polar amplification is increasing the frequency and severity of drought, forest fires, and permafrost thaw resulting in large habitat shifts. Data is scarce and hard to collect given the climate, and cultural preference to use non-invasive methods, yet important to understand real-world drivers to northern biodiversity change. Quantifying processes that determine where northern animals occur, forming predictions of anticipated changes, and comparing these predictions to future observations provides the opportunity to test fundamental ecological hypotheses while servicing critical applied ecological needs. Similar work on animal ecology has been conducted in many other ecosystems, with foundational work on northern species ecology already established. However, limited niche redundancy within northern systems paired with contemporary rapid and observable landscape change provides an important opportunity to test our understanding of changing biodiversity drivers in a predictive ecology approach. My long-term research goal is to predict animal response to spatially-explicit anticipated anthropogenic and natural landscape changes within an integrated framework of ecological forecasting. This will inform current management and conservation decisions through a quantitative ability to weigh trade-offs between current and anticipated future habitat - and population - conditions. This goal will be obtained through two short-term objectives: O1 quantifying drivers of animal distribution and demographic change, and O2 demonstrating limitations and appropriate applications of these relationships when used to predict population change. Objectives will be achieved by four Plans that quantify I the efficacy of protected areas and their surrounding landscapes for mammal conservation, II density and distribution of a northern data-limited species, III anticipated shifts of mammal resource use to natural and anthropogenic landscape change, while providing projections of IV wildlife habitat use and demography considering this knowledge. This research will establish advancements and insights into the potential for animals to access, use, and respond to resources as landscapes change. It will contribute to advances in applied ecology by quantifying and predicting the effects of key management strategies to aid short and long-term provincial, territorial, Indigenous, and federal socio-economic and conservation commitments.
Program
Discovery Grants Program - Individual
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data

As published

Application id
RGPIN-2022-04061
Name nom
Stewart, Frances
Department département
Biology
Organization id
35
Institution établissement
Wilfrid Laurier University
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2022
Award amount
33000
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
400
Area of application group en
Environment
Area of application group fr
Environnement
Area of application en
Environment
Area of application fr
Environnement
Research subject code
5500
Research subject group en
Animal biology
Research subject group fr
Biologie animale
Research subject en
Animal biology
Research subject fr
Biologie animale
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
Quantifying and projecting boreal mammal response to landscape change
Keywords
terrestrial mammals; species at risk; demography; resource selection; boreal forest; ecological forecasting; climate change; cumulative effect; camera trap; wildlife management
Application summary
Climate-induced landscape change is restructuring ecosystems resulting in biodiversity declines reminiscent of previous extinctions. This is compounded by anthropogenic disturbance as resource extractions expand into northern regions. Yet biodiversity management, protection, and conservation does not include anticipated future change affecting multi-species persistence. Canadian wildlife represent important nutritional, cultural, and symbolic sources for northern people and global conservation. These animals inhabit an ecosystem where polar amplification is increasing the frequency and severity of drought, forest fires, and permafrost thaw resulting in large habitat shifts. Data is scarce and hard to collect given the climate, and cultural preference to use non-invasive methods, yet important to understand real-world drivers to northern biodiversity change. Quantifying processes that determine where northern animals occur, forming predictions of anticipated changes, and comparing these predictions to future observations provides the opportunity to test fundamental ecological hypotheses while servicing critical applied ecological needs. Similar work on animal ecology has been conducted in many other ecosystems, with foundational work on northern species ecology already established. However, limited niche redundancy within northern systems paired with contemporary rapid and observable landscape change provides an important opportunity to test our understanding of changing biodiversity drivers in a predictive ecology approach. My long-term research goal is to predict animal response to spatially-explicit anticipated anthropogenic and natural landscape changes within an integrated framework of ecological forecasting. This will inform current management and conservation decisions through a quantitative ability to weigh trade-offs between current and anticipated future habitat - and population - conditions. This goal will be obtained through two short-term objectives: O1 quantifying drivers of animal distribution and demographic change, and O2 demonstrating limitations and appropriate applications of these relationships when used to predict population change. Objectives will be achieved by four Plans that quantify I the efficacy of protected areas and their surrounding landscapes for mammal conservation, II density and distribution of a northern data-limited species, III anticipated shifts of mammal resource use to natural and anthropogenic landscape change, while providing projections of IV wildlife habitat use and demography considering this knowledge. This research will establish advancements and insights into the potential for animals to access, use, and respond to resources as landscapes change. It will contribute to advances in applied ecology by quantifying and predicting the effects of key management strategies to aid short and long-term provincial, territorial, Indigenous, and federal socio-economic and conservation commitments.