Zalika Črepinšek

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 analyzed the leaf phenology of European beech (Fagus sylvatica) and its variation due to spatial and temporal climatic variability, using a modified data set of the phenological network in Slovenia.

TL;DR: In this paper, five different phenological methods were implemented in the dynamic crop growth model, which was subsequently optimized, using the data acquired at three different locations in Slovenia, and a subsequent Bayesian model comparison was used in order to quantify the impact of phenological method selection on the final maize yield.

TL;DR: In this article, the authors applied correlation analysis and linear multiple regression to establish the relationship among phenological development and climatic variables (temperature, rainfall, North Atlantic Oscillation, day length) to predict flowering and leaf unfolding time for a set of wild and cultivated plants in Slovenia.

TL;DR: In this article, the authors used tree-ring data together with crown features derived from the MODIS to assess the effect of extreme climate events on the growth of beech (Fagus sylvatica L.) in Slovenia.