Pentti Pirinen

TL;DR: In this article, the authors used an enormous systematic phenological network data set of more than 125 000 observational series of 542 plant and 19 animal species in 21 European countries (1971-2000) and concluded that previously published results of phenological changes were not biased by reporting or publication predisposition.

TL;DR: In this article, the authors compared three methods for spatial prediction: kriging with external drift (KED), generalized additive models (GAM), and GAM combined with residual Kriging (GK).

TL;DR: A significant increase in the annual growth of boreal forests in Finland is reported, especially since 1990, by linking meteorological records and forest inventory data on an area between 60° and 70° northern latitude.

TL;DR: In this article, the authors conducted a comprehensive spatial interpolation scheme where seven climate variables (daily mean, maximum, and minimum surface air temperatures, daily precipitation sum, relative humidity, sea level air pressure, and snow depth) were interpolated over Finland at the spatial resolution of 10'×'10'km2.

TL;DR: In this article, the durations of the thermal seasons and the growing season till the end of this century are inferred from projected monthly mean temperatures, separately for the SRES A2 and B1 scenarios, for the baseline period 1971-2000, using a high-resolution observational data set covering Finland, and an average of the temperature responses simulated by 19 global climate models (GCMs) is added to the observed temperatures to obtain projections for the future.