Rein Ahas

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 paper, a suite of modeled and derived measures (produced from daily maximum-minimum temperatures) linking plant development (phenology) with its basic climatic drivers provide a reliable and spatially extensive method for monitoring general impacts of global warming on the start of the growing season.

TL;DR: A model for the location of meaningful places for mobile telephone users, such as home and work anchor points, using passive mobile positioning data is introduced, revealing that the developed model described the geography of the population relatively well, and can hence be used in geographical and urban studies.

TL;DR: The results proved that mobile positioning data has valuable applications for geographical studies, and showed that positioning data have advantages: data can be collected for larger spatial units and in less visited areas; spatial and temporal preciseness is higher than for regular tourism statistics.

TL;DR: The European phytophenological database of the EU 5th Framework project "POSITIVE" facilitated an examination of the rate and spatial pattern of changes in spring phenology across Europe as mentioned in this paper.