Spatial Distribution and Hierarchical Behaviour of Cattle Using a Virtual Fence System.

Area of Science:

• Animal behaviour
• Agricultural technology
• Spatial ecology

Background:

• Virtual fencing systems, like Nofence©, are gaining traction for agricultural and rewilding applications.
• High costs and the need for individual animal collars limit the scalability of current virtual fencing technologies.
• Understanding cattle herd spatial dynamics could enable more cost-effective deployment of virtual fencing.

Purpose of the Study:

• To investigate spatial distribution patterns within a cattle herd using GPS data.
• To determine individual positioning and identify rank patterns in relation to herd structure.
• To assess the feasibility of reducing collar usage by identifying dominant individuals.

Main Methods:

• Utilized GPS tracking data from 17 Angus cows equipped with a Nofence© system.
• Applied nearest neighbour analysis and descriptive statistics to measure inter-individual distances.
• Examined spatial distribution patterns and calculated concordance to assess rank stability.

Main Results:

• No distinct, consistent pattern in spatial herd distribution or individual ranks was identified.
• Observed tendencies in spatial distribution showed low concordance (W=0.15, p<0.001), indicating high variability.
• Cumulative rank curves provided a rough estimation of hierarchy and identified high-ranking individuals.

Conclusions:

• Cattle social structures are complex, with significant variability in individual positioning.
• Cumulative curves offer a potential method for identifying dominant animals for optimized virtual fencing.
• Further research with extended observation and alternative methods is needed to improve virtual fencing cost-effectiveness and scalability.