Korner-Nievergelt F, Baumbauer L, Brinkmann R, Hochradel K, Hurst J, Mages J, Nagy M, Niermann I, Reers H, Simon R, Weber N, Behr O (2015)
Publication Language: English
Publication Type: Conference contribution
Publication year: 2015
Event location: Berlin
In Europe, a widespread method to mitigate bat collisions at wind energy turbines is to stop the rotor during times with high collision rates. To do this efficiently, high collision rates need to be predicted in order to save bats from being killed. Also, periods with low collision risk have to be identified to minimize losses in energy production. We present a model that reliably predicts turbine specific collision rates as well as identifies times with low collision risk. The model is a hierarchical zero-inflated Poisson model that includes a Bernoulli model for collision risk and a Poisson model for the collision rate. We developed the model based on a large empirical data set including daily carcass searches at 30 turbines during 3 months, and continuous recordings of acoustic bat activity and wind speed at the nacelle of the turbine at 70 turbines during 7 months. We corrected for the imperfect detection of carcasses within the model. The model is particularly useful for predicting bat collision rates during times of the year with low bat activity and little empirical data on collision rates.
APA:
Korner-Nievergelt, F., Baumbauer, L., Brinkmann, R., Hochradel, K., Hurst, J., Mages, J.,... Behr, O. (2015). A model for the prediction of bat collision rates at wind energy turbines. In Proceedings of the Conference on Wind energy and Wildlife Impacts. Berlin.
MLA:
Korner-Nievergelt, Fränzi, et al. "A model for the prediction of bat collision rates at wind energy turbines." Proceedings of the Conference on Wind energy and Wildlife Impacts, Berlin 2015.
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