Tracking migratory songbirds: accuracy of light‐level loggers (geolocators) in forest habitats
By Adam M. Fudickar, Martin Wikelski, J. Partecke. 2012
172 citations recorded by the source corpus.
Subfields: Developmental Biology, Ecology
View Paper: https://www.semanticscholar.org/paper/647f31de78c3d26a95f981a72e218515cd7b6db2
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In Developmental Biology
In Ecology
Citations in the corpus
- Ten years tracking the migrations of small landbirds: Lessons learned in the golden age of bio-logging (2018, background): “Also it is important to note that longitude estimates are not affected by the equinox at all and can often be used to detect timing of movements, even if the actual latitudinal position is not known (Fudickar et al. 2012).”
- Comparing inferences of solar geolocation data against high-precision GPS data: annual movements of a double-tagged black-tailed godwit (2016, methodology): “Monthly biases of estimates were calculated separately for latitude and longitude as the mean and standard deviation of the shift (in degrees) of the estimated positions from the corresponding GPS locations and then converted to kilometres (based on Fudickar et al. 2012).”
- GeoLight – processing and analysing light‐based geolocator data in R (2012, background): “Weather conditions and shading from vegetation are typically identified as the main factors compromising these measurements (Fudickar, Wikelski & Partecke 2011; Lisovski et al. 2012), but any physical or behavioural attribute that reduces light levels during critical periods may adversely affect data…”
- Technology on the Move: Recent and Forthcoming Innovations for Tracking Migratory Birds (2011, background): “Unfortunately, there have been few validation studies for land-based geologger systems in terrestrial environments, although several are currently under way (Fudickar et al. 2011; Richard Lanctot, Migratory Bird”