Data from: Time series of bird abundances, land cover and temperature from standardized breeding bird monitoring schemes (line transects and point count routes) from Norway, Sweden and Finland, for 1975-2016

These data on bird species abundance and environmental variables were used
in testing and comparing two different species distribution model
validation methods that are applied to models which are used to predict
the effects of climate change on species' distributions. The aim of
the study was to investigate whether different validation methods give
different results of the model's predictive performance and to
demonstrate that validation methods based on measuring and validating a
“static” pattern in distribution can assess model performance
over-optimistically compared to methods based on measuring and validating
a “change” in the distribution, which can assess the predictive
performance more critically.