Grant: Canada Research Chairs
Concordia University
$150,000.00
Spatial Ecology and Biodiversity
EF 2024-25
Résumé
No two places on Earth have the same combination of species or environmental conditions. All living organisms, along with their environments, present remarkable complex patterns of variation across geographical space. Unravelling the multiple causes underlying complex spatial patterns in biodiversity is one of the most popular, vibrant, and challenging areas of research in ecology, evolution, and environmental sciences. This knowledge has become critical to building decision plans and policies to guide and mitigate accelerated biodiversity loss and ecosystem degradation.
Complexities in spatial patterns of biodiversity largely stem from the interplay between the processes that influence species distributions and their interactions at different spatial and temporal scales. Significant theoretical and empirical advancements have deepened our understanding of how biodiversity is structured in space and time. However, comprehensive analyses underscore the pressing need to refine current quantitative models to increase our understanding and generate more accurate predictions of the complex biodiversity patterns observed in nature. Just as astronomers cannot perform planetary experiments, ecologists cannot easily manipulate the processes underlying biodiversity at multiple scales; instead, we need to use advanced quantitative tools to understand the importance and consequences of the many factors and processes underlying biodiversity.
The primary goal of the CRC in Spatial Ecology and Biodiversity is to accelerate progress in understanding the processes that influence the geography of biodiversity. The CRC focuses on two key research areas: (1) Establish well-structured foundation for biodiversity science that integrates conceptual, quantitative, theoretical, and predictive elements. This foundation will address emerging questions underlying the mechanisms governing spatial patterns in biodiversity; and (2) Develop and validate cutting-edge quantitative tools and predictive models designed to enhance the analysis of biodiversity patterns in space and time. These tools will empower researchers from diverse fields with robust quantitative frameworks, including the distribution of open-access software to ensure broad accessibility. Through this research program, the CRC will support and contribute to critical advancements in biodiversity science, aiding in the understanding, prediction, management, and conservation of biodiversity.
Programme
Canada Research Chairs
Bénéficiaire
Emplacement
Quebec, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
CRC-2023-00139
Name nom
Peres-Neto, Pedro
Department département
Biology - Concordia University
Organization id
70
Institution établissement
Concordia University
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2024
Competition year année de concours
2023
Award amount
150000
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
RDF1060302
Field of research list names en
Community ecology (except invasive species ecology)
Field of research list names fr
Écologie des communautés biologiques (sauf l'écologie des espèces envahissantes)
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
Spatial Ecology and Biodiversity
Keywords
Community ecology; Biodiversity; Quantitative ecology; Spatial ecology; Spatial statistics; Ecological modelling; Aquatic ecology; Biogeography; Theoretical ecology; Metacommunity ecology
Application summary
No two places on Earth have the same combination of species or environmental conditions. All living organisms, along with their environments, present remarkable complex patterns of variation across geographical space. Unravelling the multiple causes underlying complex spatial patterns in biodiversity is one of the most popular, vibrant, and challenging areas of research in ecology, evolution, and environmental sciences. This knowledge has become critical to building decision plans and policies to guide and mitigate accelerated biodiversity loss and ecosystem degradation.
Complexities in spatial patterns of biodiversity largely stem from the interplay between the processes that influence species distributions and their interactions at different spatial and temporal scales. Significant theoretical and empirical advancements have deepened our understanding of how biodiversity is structured in space and time. However, comprehensive analyses underscore the pressing need to refine current quantitative models to increase our understanding and generate more accurate predictions of the complex biodiversity patterns observed in nature. Just as astronomers cannot perform planetary experiments, ecologists cannot easily manipulate the processes underlying biodiversity at multiple scales; instead, we need to use advanced quantitative tools to understand the importance and consequences of the many factors and processes underlying biodiversity.
The primary goal of the CRC in Spatial Ecology and Biodiversity is to accelerate progress in understanding the processes that influence the geography of biodiversity. The CRC focuses on two key research areas: (1) Establish well-structured foundation for biodiversity science that integrates conceptual, quantitative, theoretical, and predictive elements. This foundation will address emerging questions underlying the mechanisms governing spatial patterns in biodiversity; and (2) Develop and validate cutting-edge quantitative tools and predictive models designed to enhance the analysis of biodiversity patterns in space and time. These tools will empower researchers from diverse fields with robust quantitative frameworks, including the distribution of open-access software to ensure broad accessibility. Through this research program, the CRC will support and contribute to critical advancements in biodiversity science, aiding in the understanding, prediction, management, and conservation of biodiversity.