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- Moveapps WorkflowMoveApps Workflow: Nest Flight Statistics(2023-02-03) Kölzsch, Andrea; Gal, Johannesdetermines flight speed average and antimode, flight time per day, flight Altitude and nest use by radii - needs input from Nest Location and Nesting Duration workflow
- Moveapps WorkflowMoveApps Workflow: Roost and Foraging Site Extraction(2022-11-14) Kölzsch, AndreaExtract roosts (stationary during night) or foraging sites (stationary during day) from movement tracks. Steps: selects locations on ground (low speed) and at night/day, extract sites where animals stay in defined radius for defined min. duration
- Moveapps WorkflowMoveApps Workflow: Morning Report(2022-07-21) Kölzsch, Andrea; Wikelski, MartinGet overview about your tags' performance and whereabouts.
- Moveapps WorkflowMoveApps Workflow: Nest Location and Nesting Duration(2023-02-02) Kölzsch, Andrea; Flack, Andreadetermines nests and breeding time intervals - use before Nest Flight Statistics workflow
- Moveapps WorkflowMoveapps Workflow: Migration Mapper(2022-07-22) Kölzsch, Andrea; Safi, KamranClean and filter your data to view migration tracks.
- Moveapps WorkflowMoveApps Workflow: Estimation of Utilisation Distribution by dyn Brownian Bridge Model(2023-01-13) Kölzsch, Andrea; Scharf, Anne KThis workflow shows how data of lesser white-fronted geese are downloaded, cleaned and filtered. Then, for spring as well as autumn migration, the dynamic Brownian Bridge model is used to calculated the Utilization Densities of the birds using the tracked area. Hotspots of use stand out as important sites for migration and stopover.
- Data packageData from: Turbulence causes kinematic and behavioural adjustments in a flapping flier(2024-02-20) Lempidakis, Emmanouil; Ross, Andrew N.; Quetting, Michael; Krishnan, Krishnamoorthy; Garde, Baptiste; Wikelski, Martin; Shepard, Emily L.C.Turbulence is a widespread phenomenon in the natural world, but its influence on flapping fliers remains little studied. We assessed how freestream turbulence affected the kinematics, flight effort, and track properties of homing pigeons (Columba livia), using the fine-scale variations in flight height as a proxy for turbulence levels. Birds showed a small increase in their wingbeat amplitude with increasing turbulence (similar to laboratory studies), but this was accompanied by a reduction in mean wingbeat frequency, such that their flapping wing speed remained the same. Mean kinematic responses to turbulence may therefore enable birds to increase their stability without a reduction in propulsive efficiency. Nonetheless, the most marked response to turbulence was an increase in the variability of wingbeat frequency and amplitude. These stroke-to-stroke changes in kinematics provide instantaneous compensation for turbulence. They will also increase flight costs. Yet pigeons only made small adjustments to their flight altitude, likely resulting in little change in exposure to strong convective turbulence. Responses to turbulence were therefore distinct from responses to wind, with the costs of high turbulence being levied through an increase in the variability of their kinematics and airspeed. This highlights the value of investigating the variability in flight parameters in free-living animals.