East Anglia ONE Offshore Windfarm
April, 2016
displacement, but not an overall reduction in number. The proportion was set at the outset of the simulation (Figure 2 provides an example output);
6. Bird locations within aerial transect grid cells were retained for analysis (these represent the survey data); 7. The two nonbreeding seasons of simulated data were analysed using the spatially adaptive statistical methods CReSS (Complex Region Spatial Smoother) and SALSA (Spatially Adaptive Local Smoothing Algorithms) developed by the Centre for Research into Ecological and Environmental Modelling (CREEM) at St. Andrews University (Mackenzie et al. 2013);
8. The method permits fitting of alternative models to the simulated data, which can then be compared statistically to determine which has the better fit. A ‘successful’ result was generated if the best-fit model included the interaction term between spatial location and year as this reflected the ‘true’ underlying model used to generate the data. A ‘failure’ was identified if either no-change was detected or the best-fit model indicated an overall reduction in number; and,
9. The above process was repeated 100 times and the power to detect the true effect calculated as the number of successes out of all simulations.
East Anglia ONE ornithology survey design 5810000
Site boundary Transect
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Figure 1. East Anglia ONE layout and example survey design. The blue line is the site boundary and the parallel black lines indicate the edges of the survey transects.
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