Grant: Research Tools and Instruments - Category 1 (<$150,000)
University of Windsor
$61,253.00
EncounterNet: a novel tracking system for studying social interactions in wild animals
FY 2008-09
Summary
Societies can be regarded as networks of interconnected individuals linked by social, spatial, or temporal relationships. By studying network structure, we can better understand how the societies are organized, and how individuals achieve success within these societies. Although there is a relatively long history of research on social networks in humans, researchers have recently become interested in understanding social networks in animals. However, the study of animal social networks has been complicated by the fact that unlike humans, animals cannot identify their social relationships, and many animals behave so cryptically that social interactions are difficult to observe.
The EncouterNet system provides a novel means of comprehensively assessing animal movements and animal interactions. The system consists of roving nodes, which are small transmitters attached to individuals of interest, and fixed nodes, which can be arranged in a grid or in locations tagged animals are likely to visit, such as nests or display sites. When two tagged individuals come into range, each node logs the other's ID number and the encounter time. When a tagged individual approaches a fixed node, the fixed node acquires the roving node's encounter logs. Thus, all interactions between tagged individuals are recorded, and the positions of those individuals can be estimated by analyzing signal strength. This innovative technology will allow us to document animal social interactions with an unprecedented degree of specificity and comprehensiveness, and may revolutionize our understanding of animal social networks.
This system will be used extensively by two University of Windsor research teams in the Guanacaste Conservation Area, a UNESCO world heritage site in Costa Rica. The research will involve extensive field studies on the ecology, behaviour, and reproduction of tropical birds and will involve the training of numerous graduate students, undergraduate students, and research technicians.
Program
Research Tools and Instruments - Category 1 (<$150,000)
Recipient
Location
Ontario, Canada
Recipient Type
Academia
Type
Grant
Source
NSERC's Awards Data
As published
Application id
374781-2009
Name nom
Doucet, Stéphanie
Department département
Biological Sciences
Organization id
37
Institution établissement
University of Windsor
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2008
Competition year année de concours
2009
Award amount
61253
Program id
EQPEQ
Program nane en
Research Tools and Instruments - Category 1 (<$150,000)
Program name fr
Outils et instruments de recherche - catégorie 1 (<150 000$)
Group en
Discovery grants programs
Group fr
Programmes de subventions à la découverte
Committee code
18
Committee name en
Evolution & Ecology
Committee name fr
Évolution et écologie
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
EncounterNet: a novel tracking system for studying social interactions in wild animals
Keyword
NA
Application summary
Societies can be regarded as networks of interconnected individuals linked by social, spatial, or temporal relationships. By studying network structure, we can better understand how the societies are organized, and how individuals achieve success within these societies. Although there is a relatively long history of research on social networks in humans, researchers have recently become interested in understanding social networks in animals. However, the study of animal social networks has been complicated by the fact that unlike humans, animals cannot identify their social relationships, and many animals behave so cryptically that social interactions are difficult to observe.
The EncouterNet system provides a novel means of comprehensively assessing animal movements and animal interactions. The system consists of roving nodes, which are small transmitters attached to individuals of interest, and fixed nodes, which can be arranged in a grid or in locations tagged animals are likely to visit, such as nests or display sites. When two tagged individuals come into range, each node logs the other's ID number and the encounter time. When a tagged individual approaches a fixed node, the fixed node acquires the roving node's encounter logs. Thus, all interactions between tagged individuals are recorded, and the positions of those individuals can be estimated by analyzing signal strength. This innovative technology will allow us to document animal social interactions with an unprecedented degree of specificity and comprehensiveness, and may revolutionize our understanding of animal social networks.
This system will be used extensively by two University of Windsor research teams in the Guanacaste Conservation Area, a UNESCO world heritage site in Costa Rica. The research will involve extensive field studies on the ecology, behaviour, and reproduction of tropical birds and will involve the training of numerous graduate students, undergraduate students, and research technicians.