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GPS tracking a marine predator: the effects of precision,resolution and sampling rate on foraging tracks of African Penguins
Authors:Email author" target="_blank">P?G?RyanEmail author  S?L?Petersen  G?Peters  D?Grémillet
Institution:(1) Percy FitzPatrick Institute, University of Cape Town, 7701 Rondebosch, South Africa;(2) earth&OCEAN Technologies, Hasseer Strasse 75, 24113 Kiel, Germany;(3) Centre drsquoEcologie et Physiologie Energétiques, Centre National de la Recherche Scientifique, 23 rue Becquerel, Cedex 02, 67087 Strasbourg, France
Abstract:We used a prototype GPS logger to track the movements of breeding African Penguins (Spheniscus demersus). The loggers also recorded temperature and water depth, which allowed us to reconstruct foraging tracks in three dimensions, although GPS signals are interrupted when the birds dive. Here we report the loggerrsquos performance in the field and assess the effects of GPS error, resolution and sampling rate on estimates of foraging track length and speed. There is a trade-off between sampling rate and battery lifespan. We tested loggers at sampling intervals of 1 s, 10 s, 1 min, 2 min and 10 min. Sampling less frequently increases the chance of tracking an entire foraging trip, but it slows uplink times, slightly decreases the accuracy of positional fixes, and significantly reduces the ability to measure fine-scale aspects of foraging behaviour. Compared with radio or satellite tracking, GPS loggers offer unprecedented detail about animal movements. The results of our analysis suggest that techniques that sample relatively infrequently, such as satellite tracking, underestimate actual track lengths by up to 50%. However, caution is needed when interpreting fine-scale sampling for relatively slow-moving organisms. Re-sampling 1-s tracks suggests that c. 35% of apparent movements at this scale are due to measurement error and, more importantly, the limited spatial resolution of GPS (1.85×1.54 m at the study area). We recommend that researchers use a 1-s sampling rate for fine-scale studies, but resample at less frequent intervals to remove spurious noise for slow-moving animals. At current levels of resolution, animals should move at least 4 m per sampling interval. We provide empirical correction factors to compare inferred track length sampled at different rates, but caution that these are idiosyncratic and strongly dependent on the animalrsquos behaviour. Overall, GPS loggers offer a significant advance for studies of fine-scale animal movement patterns.Communicated by O. Kinne, Oldendorf/Luhe
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