Tim lucas-britbats
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1) The document presents a random encounter model, also known as a 'gas model', for estimating bat abundances based on acoustic detections. 2) The model makes some assumptions about bat movement being straight-line and the number of detections following a Poisson distribution. 3) Simulations will be used to compare the sensitivity of the model under different species parameters, movement models, and population densities.
Tim lucas-britbats
- 1. A random encounter model for estimating bat abundances Tim C.D. Lucas @timcdlucas CoMPLEX, GEE University College London 22-03-2013 #BritBats
- 2. A digression to begin with...
- 3. How many bats are there?
- 4. A random encounter model Also known as a gas model
- 5. A random encounter model Also known as a gas model
- 6. Bats arent circles Theyre segments 慮 粒 2 粒 1
- 7. Some assumptions Discrete inside/outside of call segment Probably more probabilistic than this
- 8. Some assumptions Straight line movement Number of detections is Poisson
- 9. Are detections Poisson? 6 5 Bats per KM2 4 3 2 1 0 100% 50% 5% 2% Percent of Ukraine P. kuhlii sample size Estimate and theoretical CI Bootstrap mean and CI
- 11. Compare model sensitivity: - Species parameters - Movement models - Population density
- 12. Required parameters Species Eptesicus serotinus Call intensity 128dB Half amplitude angle 36 Flight speed 13.2ms 1 Call frequency 26.94kHz Bat detector Sensitivity Angle of operation
- 13. Required parameters Species Eptesicus serotinus Call intensity 128dB Half amplitude angle 36 Flight speed 13.2ms 1 Call frequency 26.94kHz Bat detector Sensitivity Angle of operation
- 14. Required parameters Species Eptesicus serotinus Call intensity 128dB Half amplitude angle 36 Flight speed 13.2ms 1 Call frequency 26.94kHz Bat detector Sensitivity Angle of operation
- 15. Thanks for listening @timcdlucas