Grant: Discovery Grants Program - Individual
Université du Québec à Trois-Rivières
$21,000.00
Individual variation in movement behaviour and its implications for space use
EF 2017-18
Résumé
Individual variation in movement behaviour and its implications for space use Animal movement influences many important ecological properties and processes, such as habitat use, genetic exchange between populations, species interactions, spread of diseases and invasive species, transfer of energy and nutrients, and risk of extinction. Many studies have shown that movement behaviour can be viewed as a personality trait which shows consistent differences between individuals that are maintained under different conditions, such as along an environmental gradient, between levels of predation risk, or over time. Movement behaviour may also be related to other personality traits, forming ? movement syndromes ? that can be defined as consistent associations of individual movement behaviour with morphological, life-history, or other behavioural characteristics. The main goal of my Discovery research program is to understand the biological mechanisms underlying variation in individual movement behaviour, using movement syndromes as a unifying conceptual framework to link movement and other phenotypic traits across different situations. This goal is supported by three objectives related to the following questions: 1) which individual characteristics are correlated with movement behaviour, and how strongly?; 2) do the relationships of movement with other individual characteristics influence ecological performance (growth and survival)?; 3) are these relationships useful to predict movement in novel situations? Our work will focus on brook charr, Salvelinus fontinalis , a fish species of great economic value whose movement in streams can be studied using modern tagging technology that allows us to track individuals and locate them repeatedly over extended time periods. We will use state-of-the-art field and statistical methodologies in experimental settings to systematically quantify the strength, stability, and predictive power of movement syndromes across a range of ecologically relevant situations and to examine the relationship of the syndromes with performance in the wild. The ability to link personality traits to processes operating over larger spatial and temporal scales provides a powerful tool for understanding ecological and evolutionary dynamics. An improved understanding of movement syndromes will encourage the application of this approach in other contexts, including its use by managers to evaluate the effects of personality-dependent movements on population persistence, access to critical habitats, impact of invasive species, and disease propagation. This research program will provide training in advanced statistical modelling and modern tagging and tracking technologies to one Ph.D. and three M.Sc. students, as well as exposure to field research in behavioural ecology for at least five undergraduates.
Programme
Discovery Grants Program - Individual
Bénéficiaire
Emplacement
Quebec, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
RGPIN-2015-04865
Name nom
Rodr´guez, Marco
Department département
Sciences de l'environnement - Sciences de l'environnement
Organization id
59
Institution établissement
Université du Québec à Trois-Rivières
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2017
Competition year année de concours
2015
Award amount
21000
Program id
RGPIN
Program name en
Discovery Grants Program - Individual
Program name fr
Programme de subventions à la découverte - individuelles
Group en
Discovery grants programs
Group fr
Programmes de subventions à 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
4702
Research subject group en
Evolution and ecology
Research subject group fr
Évolution et écologie
Research subject en
Aquatic ecology and limnology
Research subject fr
Écologie aquatique et limnologie
Partie
3
Nb partie
5
Application title
Individual variation in movement behaviour and its implications for space use
Keyword
NSERC
Application summary
Individual variation in movement behaviour and its implications for space use Animal movement influences many important ecological properties and processes, such as habitat use, genetic exchange between populations, species interactions, spread of diseases and invasive species, transfer of energy and nutrients, and risk of extinction. Many studies have shown that movement behaviour can be viewed as a personality trait which shows consistent differences between individuals that are maintained under different conditions, such as along an environmental gradient, between levels of predation risk, or over time. Movement behaviour may also be related to other personality traits, forming ? movement syndromes ? that can be defined as consistent associations of individual movement behaviour with morphological, life-history, or other behavioural characteristics. The main goal of my Discovery research program is to understand the biological mechanisms underlying variation in individual movement behaviour, using movement syndromes as a unifying conceptual framework to link movement and other phenotypic traits across different situations. This goal is supported by three objectives related to the following questions: 1) which individual characteristics are correlated with movement behaviour, and how strongly?; 2) do the relationships of movement with other individual characteristics influence ecological performance (growth and survival)?; 3) are these relationships useful to predict movement in novel situations? Our work will focus on brook charr, Salvelinus fontinalis , a fish species of great economic value whose movement in streams can be studied using modern tagging technology that allows us to track individuals and locate them repeatedly over extended time periods. We will use state-of-the-art field and statistical methodologies in experimental settings to systematically quantify the strength, stability, and predictive power of movement syndromes across a range of ecologically relevant situations and to examine the relationship of the syndromes with performance in the wild. The ability to link personality traits to processes operating over larger spatial and temporal scales provides a powerful tool for understanding ecological and evolutionary dynamics. An improved understanding of movement syndromes will encourage the application of this approach in other contexts, including its use by managers to evaluate the effects of personality-dependent movements on population persistence, access to critical habitats, impact of invasive species, and disease propagation. This research program will provide training in advanced statistical modelling and modern tagging and tracking technologies to one Ph.D. and three M.Sc. students, as well as exposure to field research in behavioural ecology for at least five undergraduates.