The dataset presented here was collected by the GenTree project (EU-Horizon 2020), which aims to improve the use of forest genetic resources across Europe by better understanding how trees adapt to their local environment. This dataset of individual tree-core characteristics including ring-width series and whole-core wood density was collected for seven ecologically and economically important European tree species: silver birch (Betula pendula), European beech (Fagus sylvatica), Norway spruce (Picea abies), European black poplar (Populus nigra), maritime pine (Pinus pinaster), Scots pine (Pinus sylvestris), and sessile oak (Quercus petraea). Tree-ring width measurements were obtained from 3600 trees in 142 populations and whole-core wood density was measured for 3098 trees in 125 populations. This dataset covers most of the geographical and climatic range occupied by the selected species. The potential use of it will be highly valuable for assessing ecological and evolutionary responses to environmental conditions as well as for model development and parameterization, to predict adaptability under climate change scenarios.

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Twenty-three populations of Pinus pinaster (13 Aquitaine populations and 10 Corsican populations) were analysed at three microsatellite loci and 122 AFLP loci. The aims of the study were: (i) to compare levels of within-population and among-population diversity assessed with both kinds of markers; (ii) to compare Aquitaine and Corsican provenances of P. pinaster; and (iii) to know if both markers gave the same information for conservation purposes. Classical population genetics statistics were estimated and the ranking of populations obtained using different markers and/or parameters were compared by computing Spearman's rank correlations. Even though microsatellites showed a higher within-population diversity, they showed the same level of differentiation as AFLP markers. Moreover, both markers also showed a higher genetic diversity in the Aquitaine provenance and a higher differentiation among Corsican populations. AFLPs and microsatellites gave different population diversity rankings. Consequently, the results do not support the potential population identification within each provenance for conservation purposes.