Analysis of population trends for farmland birds using generalized additive models

Knowledge of the direction, magnitude, and timing of changes in bird popula tion abundance is essential to enable species of priority conservation conc ern to be identified, and reasons for the population changes to be understo od. We give a brief review of previous techniques fur the analysis of large -scale survey data and present a new approach based on generalized additive models (GAMs). GAMs are used to model trend as a smooth, nonlinear functio n of time, and they provide a framework for testing the statistical signifi cance of changes in abundance. In addition, the secund derivatives of the m odeled trend curve may be used to identify key years in which the direction of the population trajectory was seen to change significantly. The inclusi on of covariates into models for population abundance is also discussed and illustrated, and tests for the significance of covariate terms are given. We apply the methods to data from the Common Birds Census of the British Tr ust for Ornithology for 13 species of farmland birds. Seven of the species are shown to have experienced statistically significant declines since the mid-1960s, Two species exhibited a significant increase. The population tra jectories of all but three species turned downward in the 1970s, although i n most cases the 1980s brought either some recovery or a decrease in the ra te of decline. The majority of populations have remained relatively stable in the 1990s. The results are comparable with those from other analysis tec hniques, although the new approach is shown to have advantages in generalit y and precision. We suggest extensions of the methods and make recommendati ons for the design of future surveys.