Fig. 2

Schematic representation of the approaches to extract nesting attempts and success of pink-footed geese based on tracking data. The main approach (a) requires simultaneously recorded GPS and accelerometer (ACC) data, whereas the second approach (b) uses general movement characteristics summarised on a daily level, and can handle non-simultaneous GPS and ACC data, or GPS data only. ODBA overall dynamic body acceleration (see “Methods” Section for calculation). In b, cut-off values were determined using Recursive Partitioning and Regression Trees (see “Methods” section; Fig. 4), and the success of these classifications was determined by comparison with results of approach (a). After identifying possible nests in b, certain nests and successful nests can again be identified with the attendance threshold, period threshold and nesting duration as described in a