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Larsson, Richard, 2020. Eyes in the nest : breeding phenology of Golden Eagles characterized using remote cameras. Second cycle, A2E. Umeå: SLU, Dept. of Wildlife, Fish and Environmental Studies



In situ monitoring of raptor breeding ecology with field personnel is costly, difficult and demanding. Installing camera traps in raptor nests can provide researchers with diverse information and long-term monitoring. Furthermore, it allows for relatively cheap data collection. However, comparisons between camera traps and other methods are important to allow comparisons of results between different studies.
This thesis aims to investigate the potential of camera traps to monitor Golden Eagle breeding phenology and explore what events are suitable for quantifying with cameras. Data from 54 cameras, each monitoring one unique Golden Eagle breeding, was used. Nine of these cameras monitored the nest for almost a full year. With this dataset I was able to estimate all chosen phenological events, only using photographs from the camera traps.
My results show comparable estimates with established facts for Sweden and previous studies from other countries. This demonstrates the potential of this technology to be used for ecological studies of breeding raptors.

Main title:Eyes in the nest
Subtitle:breeding phenology of Golden Eagles characterized using remote cameras
Authors:Larsson, Richard
Supervisor:Singh, Navinder and Hörnfeldt, Birger
Examiner:Ecke, Frauke
Series:Examensarbete / SLU, Institutionen för vilt, fisk och miljö
Volume/Sequential designation:2020:19
Year of Publication:2020
Level and depth descriptor:Second cycle, A2E
Student's programme affiliation:SY001 Forest Science - Master's Programme 300 HEC
Supervising department:(S) > Dept. of Wildlife, Fish and Environmental Studies
Keywords:Golden eagle, breeding, Aquila chrysaetos, camera trap, phenology, Sweden
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Subject. Use of subject categories until 2023-04-30.:Nature conservation and land resources
Deposited On:19 Oct 2020 08:27
Metadata Last Modified:20 Oct 2020 01:01

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