The effect of avoidance rates on bird mortality predictions made by wind turbine collision risk models

By D. Chamberlain, M. Rehfisch, A. D. Fox, M. Desholm, Sarah Anthony. 2006

154 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Ecology

View Paper: https://www.semanticscholar.org/paper/7a60c26d7adadd08e103e5dd6036867d6290e533

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

1. Bj Godley

In Ecology

1. S. Bearhop
2. Richard Inger
3. S. Votier
4. MJ Witt
5. W. J. Grecian
6. Bj Godley
7. Anthony David Fox
8. Michael Schaub

Citations in the corpus

• Remote techniques for counting and estimating the number of bird–wind turbine collisions at sea: a review (2006, background): “Consequently, such data need to be collected at the study site of interest before proper estimates of the number of collisions (including avoidance behaviour) can be estimated through quantitative predictive modelling (Chamberlain et al. 2006).”
• Spatial distribution of wind turbines is crucial for the survival of red kite populations (2012, background): “A limitation of these models is that their accuracy to predict collision risk greatly depends on avoidance rates (Chamberlain et al., 2006), which are poorly known.”
• Potential impacts of wave-powered marine renewable energy installations on marine birds (2010, background): “The installation of tidal turbines in the Bay of Fundy has negatively affected migratory fish populations, with potential consequences for the marine animals reliant on this seasonal resource (Dadswell & Rulifson 1994).”