Methods for statistical analysis of the results of monitoring the avifauna on the territory of wind farms

Abstract

Abstract An algorithm for processing the results of monitoring the dynamics of ornithocomplexes on the territory of wind farms using statistical methods is proposed. The solution of the most frequently encountered problems in the analysis of bird migration in the wind farm zone is considered: 1) An algorithm for the primary statistical processing of information on the number of birds of various species, flight altitude and the time of their stay in the zone of interaction with turbines during monitoring has been developed in two ways: a method of route census and observations in accordance with the recommendations of the Scottish Natural Heritage Foundation. 2) The features of the application of correlation and regression analysis have been considered, which allow determining the dependence of the number of birds on a number of factors using the Student, Pearson and Fisher criteria in the presence of strong noise interference. 3) An algorithm of statistical analysis is proposed using a trend approach based on the Student, Irwin, Durbin - Watson, Pearson and Fisher criteria. The considered statistical methods were tested on the results of migratory bird census on the territory of the Prymorsk-1 wind farm located on the coast of the Sea of Azov, which were obtained by a group of researchers led by V Siokhin and P Gorlov.