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Grant: Research Tools and Instruments

University of Manitoba

$114,515.00

An automated system for small mammal population monitoring

EF 2016-17

Résumé
My program aims to understand how ecology and demography interact with population genomic processes to both produce and constrain evolutionary change. I use the colonisations of cities by grey squirrels to address my questions. Urbanisation fragments populations, shapes dispersal patterns, alters selective pressures, and is replicated in space, which makes it an ideal natural experiment with which to explore local adaptation. My group's current research focuses on quantifying how putatively adaptive alleles affect demographic, ecological, and life history variation in natural settings. Answering such questions in the best possible way requires both population-level DNA sequencing and intensive ecological monitoring of a large number of individuals across environments, entire lifetimes, and generations. Generating population genomic data is now straightforward. However, generating long-term year-round ecological data remains difficult. This is because it is not financially feasible for most research groups to hire a team of full-time permanent field technicians for daily trapping and tracking. I propose to solve this problem technologically with the proposed design and purchase of an automated monitoring system capable of year-round population monitoring of hundreds of marked squirrels. The automation means that this system is cost effective and sustainable over the long-term. Each year in Winnipeg my students and I inject 300 squirrels subcutaneously with radio-frequency identification (RFID) chips encased in biocompatible glass. The monitoring system I have designed takes advantage of this method of marking. It is comprised of 28 automated RFID microchip readers with antennas affixed to baited feeding boxes. Each unit logs date, time, ID, and location data for squirrels that pass through antennas. In addition, each unit will collect environmental and life history data (e.g., mass) and record visits by unmarked individuals, which is important for demographic modelling. Access to food can be restricted via a programmable scheduler so that availability can be made to mimic ephemeral food resources. Access to food can also be restricted to particular individuals based upon RFID codes, which allows for experimental feeding studies. Each unit automatically communicates all data to a server via cellular networks. Data generated by this system will greatly enhance the scope and impact of my new research program and my ability to continue to train HQP in the use of leading edge population monitoring systems, spatial demographic modelling, and population genomics. By providing the ability to link genomic selection to species ecology, this system will enable us to answer difficult to address questions about the pace, scale, and nature of local adaptation. In the long-term, data generated by this system will be the cornerstone of my research program.
Programme
Research Tools and Instruments
Emplacement
Manitoba, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
RTI-2017-00564
Name nom
Garroway, Colin
Department département
Biological Sciences - Biological Sciences
Organization id
19
Institution établissement
University of Manitoba
Province en
Manitoba
Province fr
Manitoba
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2016
Competition year année de concours
2017
Award amount
114515
Program id
RTI
Program name en
Research Tools and Instruments
Program name fr
Outils et instruments de recherche
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
1603
Committee name en
Environmental Sciences (RTI)
Committee name fr
Sciences environnementales (OIR)
Area of application code
1200
Area of application group en
Advancement of knowledge
Area of application group fr
Avancement des connaissances
Area of application en
Advancement of knowledge
Area of application fr
Avancement des connaissances
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
Partie
1
Nb partie
1
Application title
An automated system for small mammal population monitoring
Keyword
NSERC
Application summary
My program aims to understand how ecology and demography interact with population genomic processes to both produce and constrain evolutionary change. I use the colonisations of cities by grey squirrels to address my questions. Urbanisation fragments populations, shapes dispersal patterns, alters selective pressures, and is replicated in space, which makes it an ideal natural experiment with which to explore local adaptation. My group's current research focuses on quantifying how putatively adaptive alleles affect demographic, ecological, and life history variation in natural settings. Answering such questions in the best possible way requires both population-level DNA sequencing and intensive ecological monitoring of a large number of individuals across environments, entire lifetimes, and generations. Generating population genomic data is now straightforward. However, generating long-term year-round ecological data remains difficult. This is because it is not financially feasible for most research groups to hire a team of full-time permanent field technicians for daily trapping and tracking. I propose to solve this problem technologically with the proposed design and purchase of an automated monitoring system capable of year-round population monitoring of hundreds of marked squirrels. The automation means that this system is cost effective and sustainable over the long-term. Each year in Winnipeg my students and I inject 300 squirrels subcutaneously with radio-frequency identification (RFID) chips encased in biocompatible glass. The monitoring system I have designed takes advantage of this method of marking. It is comprised of 28 automated RFID microchip readers with antennas affixed to baited feeding boxes. Each unit logs date, time, ID, and location data for squirrels that pass through antennas. In addition, each unit will collect environmental and life history data (e.g., mass) and record visits by unmarked individuals, which is important for demographic modelling. Access to food can be restricted via a programmable scheduler so that availability can be made to mimic ephemeral food resources. Access to food can also be restricted to particular individuals based upon RFID codes, which allows for experimental feeding studies. Each unit automatically communicates all data to a server via cellular networks. Data generated by this system will greatly enhance the scope and impact of my new research program and my ability to continue to train HQP in the use of leading edge population monitoring systems, spatial demographic modelling, and population genomics. By providing the ability to link genomic selection to species ecology, this system will enable us to answer difficult to address questions about the pace, scale, and nature of local adaptation. In the long-term, data generated by this system will be the cornerstone of my research program.