ecological determinants of foraging efficiency: insights from the group foraging bat molossus...
TRANSCRIPT
- 1. Ecological determinants of foraging efficiency: insights from the group foraging bat Molossus molossus Yann GAGER
- 2. Adapted from [Cvikel et al. 2015] Information transfer about food
- 3. Information transfer about food Adapted from [Cvikel et al. 2015]
- 4. Information transfer about food [Dechmann et al. 2010] Social foraging confirmed by telemetry, 37 mins foraging time
- 5. Optimal group size for foraging efficiency? Group size Foraging efficiency Improved prey detection Inspired from [Cvikel et al. 2015]
- 6. Group size Foraging efficiency Improved prey detection conspecific interference Optimal group size for foraging efficiency? Inspired from [Cvikel et al. 2015]
- 7. Small harems of stable size [81 captures 14 social groups] Adultgroupsize Roost identity Recruitment of juveniles dispersing Death of group members + -
- 8. Automated data collection: transponder reader + scale
- 9. Reader data from one adult of each sex SunriseSunset Typical female: foraging (x = 38 mins)
- 10. Reader data from one adult of each sex Typical female: foraging (x = 38 mins) Typical male: foraging (x = 32 mins) + roost guarding SunriseSunset
- 11. Mass data for one femaleMass(g) Month of the year
- 12. Mass data for one femaleMass(g) Month of the year Emergence Return
- 13. Mass data for one female Birth Pregnancy Mass(g) Month of the year
- 14. Modelling mass data for after-sunset period - 5 social groups with group size manipulation - Evening foraging period [sunset: 3 h after sunset] - 37 days, 73 individuals, 8681 mass points The automated dataset of mass
- 15. Modelling mass data for after-sunset period - 5 social groups with group size manipulation - Evening foraging period [sunset: 3 h after sunset] - 37 days, 73 individuals, 8681 mass points The automated dataset of mass Day 1 Day 6 Day 11 Day 15 Natural size (100%) Artificial size (50-75%) Natural size (100%)
- 16. Modelling mass data for after-sunset period Linear mixed-effect models - Response variable: Mass - Fixed predictor variables (sex, group size, day, time, weather [rain, wind speed, temp., moon]) - Random effect variables (transponder, roost) - 5 social groups with group size manipulation - Evening foraging period [sunset: 3 h after sunset] - 37 days, 73 individuals, 8681 mass points The automated dataset of mass
- 17. Important predictor variables for mass > Sex [Female-defense polygyny]
- 18. Important predictor variables for mass > Sex [Female-defense polygyny] Time [Sunset: 3 h after sunset]
- 19. Important predictor variables for mass > Sex [Female-defense polygyny] Rain & wind speed [Effect on foraging] Time [Sunset: 3 h after sunset]
- 20. Important predictor variables for mass > Sex [Female-defense polygyny] Rain & wind speed [Effect on foraging] Time [Sunset: 3 h after sunset] Group size [Optimal for mass gain]
- 21. Mass gain over 3 h ~ group size Massgain(g)over3h Group size
- 22. Mass gain over 3 h ~ group size 95% Credibility Interval Group size Massgain(g)over3h
- 23. A cooperative piece of work
- 24. yanngager.weebly.com
- 25. Fitness ~ group size Higashi~1993 Compromise Stable Optimal
- 26. Mass variation: the Linear Mixed-Effect model
- 27. What are the multiple benefits of bat sociality? Predator avoidance Food sharing Social thermoregulation Information transfer about food