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Example data and script to calculate first derivative from GAM(M) as in Becciu et al. 2023 "Soaring migrants flexibly respond to sea-breeze in a migratory bottleneck: using first derivatives to identify behavioural adjustments over time" bioRxiv

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GAMMfirstderiv

Example data and script to calculate first derivative from GAMM as in Becciu et al. 2023 "Soaring migrants flexibly respond to sea-breeze in a migratory bottleneck: using first derivatives to identify behavioural adjustments over time" Movement Ecology (https://doi.org/10.1186/s40462-023-00402-4)

The data

Find description of the data in the Method section of the manuscript. For practical purposes here a list of description of variables (skipping the obvious ones or those not used in the paper):

  • n.days: julian date each year starting from 1 on the first of January
  • h.from.sunset: hours between sunset and the recording time (in negative decimal hours; i.e. -9:30 = -9.5)
  • h.sset: round of the previous variable (i.e. -9.89 = -10)
  • n.tracks: number of tracks recorded in that radar session (radar sessions are every 15/30 minutes)
  • gspeed: average groundspeed of the radar tracks recorded in that specific radar session
  • Wrad: circular mean wind direction in radians
  • Brad: circular mean track direction in radians
  • Ws: wind speed
  • dist.coast_km: average distance to the coast
  • CW: crosswind component of the wind relative to the mean migration direction (187.7 degrees)
  • TW: tailwind component of the wind relative to the mean migration direction (187.7 degrees)
  • aspeed: airspeed calculated relative to the CW and TW components of the wind
  • s.aspeed187: lateral component of airspeed (LcA)

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Example data and script to calculate first derivative from GAM(M) as in Becciu et al. 2023 "Soaring migrants flexibly respond to sea-breeze in a migratory bottleneck: using first derivatives to identify behavioural adjustments over time" bioRxiv

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