Using a combination of wireless sensor networks, GPS tracking and integrative software solutions, we are developing the tools that allow scientists to work at scales, resolutions and ranges that were previously unavailable.

The small animation on the right should help to explain the location of the network on the island, the collection of data to a central pc on the island, and its transfer back to cambridge and on to Oxford and elsewhere. Please click on the animation for further information.

Wireless Sensor Network

At each monitored burrow, we have deployed a wireless sensor node based on the ScatterWeb platform from the Freie Universitšt Berlin. These sensors can detect the presence/absence and identity of tagged individuals. By attaching RFID tags to the birds rings, specific individuals can be detected when they return to their nests.

Data from these sensors is aggregated to a central computer which transmits the data back to a central database at Microsoft Research Cambridge. From here, researchers can download historical data for analysis and view live data as required.

GPS Tracking

Oxford University are using custom built GPS trackers to track the movements of individual birds over the season. Combining these GPS tracks with the visitation patterns at individual burrows and with remotely sensed data, allows us to ask questions about foraging behaviour and the role of environmental variation in the foraging task.

Flash design by Erroll Wood, Arkwright Scholar at Microsoft Research Cambridge

2020 Science Freie Universitšt Berlin The University of Oxford

In close collaboration with
The University of Oxford
Freie Universitšt Berlin