The GenTree Dendroecological Collection, tree-ring and wood density data from seven tree species across Europe

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

Une nouvelle variété de mélèze hybride bientôt disponible au reboisement : Les Barres-F2

National audienceMost of the European Forest Reproductive Materials of hybrid larch (Larix x eurolepis) used in reforestation are produced in 1st generation seed orchards composed of clones of European and Japanese larch (L. decidua and L. kaempferi). Considering the technical and economical problems encountered by seed orchard managers for the mass-production of F1-seeds, second generation seed orchards composed of hybrids and therefore producing F2-seeds might offer an interesting alternative. Such an orchard was planted in France (Domaine des Barres) in 1993. The first crops have been used to establish 4 progeny trials along a climatic gradient between 250 m and 1100 m of elevation in order to assess the genetic value of the 28 clones of the orchard and thus the performance of the new variety. At the age of 11-12 years (since sowing), F2-hybrids had good survival and very straight stems. For stem form, F2-hybrids were at the same level as the best F1-hybrids and clearly superior to European and Japanese larches. However, F2-hybrids also proved to be less vigorous than F1-hybrids though at the level of the best parental species. Considering these results, the seed orchard has been registered in the Qualified category in the national record of Basic Materials and a first commercial crop was organised in autumn 2018.La quasi-totalité des variétés européennes de mélèze hybride (Larix x eurolepis) utilisées en reboisement sont produites dans des vergers à graines européens de 1ère génération, constitués de clones de mélèze d'Europe (L. decidua) et du Japon (L. kaempferi). Compte tenu des difficultés, d'ordres technique et surtout économique, rencontrées pour la production en masse de ces graines F1, les vergers de 2ème génération, composés de clones hybrides et produisant donc des graines F2, constituent une alternative potentiellement intéressante. Un tel verger a été installé à titre expérimental sur le Domaine des Barres, en 1993. Les premières fructifications ont été mises à profit pour mettre en place quatre tests de descendances, situés le long d'un gradient climatique Nord-Sud, à des altitudes comprises entre 250 m et 1100 m, ce qui permet d'évaluer les performances des 28 clones du verger et, par suite, celles de la nouvelle variété et de la comparer à des témoins de qualité connue (mélèzes d'Europe et du Japon, hybrides F1). A l'âge de 11-12 ans, les hybrides F2 présentent un très bon taux de survie et sont dotés d'une forme excellente, bien supérieure à celle des mélèzes d'Europe et du Japon ; ils rivalisent sur ce point avec les meilleurs hybrides F1. En revanche, les hybrides F2 se révèlent nettement moins vigoureux que les F1, tout en restant généralement supérieurs aux espèces parentes. Ces résultats ont permis au verger d'être admis au registre national des matériels de base, en catégorie qualifiée. Une première récolte commerciale y a été effectuée à l'automne 2018

Notations de phénologie foliaire sur arbres forestiers

Les gelées tardives au printemps endommagent fréquemment les arbres. Les forestiers doivent donc disposer de matériels de reboisement ayant un rythme de croissance naturelle qui les mettent à l’abri de tels aléas. Aussi, ils recherchent des arbres qui débourrent tard au printemps, tout en conservant une vigueur satisfaisante malgré une durée de végétation plus courte. Pour apprécier ce caractère tardif, nous réalisons une ou plusieurs notations de débourrement qui sont de deux sortes : passages multiples et fréquents en mode binaire (jusqu'à 20 passages de type débourré ou pas débourré) ou nombre de passages réduits mais en classes multiples (5 à 7 classes selon les espèces). Ces observations effectuées depuis des années dans des programmes d’amélioration génétique, servent à étudier les effets du réchauffement climatique sur les arbres

Author Correction: The GenTree Dendroecological Collection, tree-ring and wood density data from seven tree species across Europe

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.An amendment to this paper has been published and can be accessed via a link at the top of the paper

Employee in an organization as a good citizen

This graduation thesis focuses on the identification of key sources of Organizational Citizenship Behaviour (OCB) which are present in a chosen organization. The outcome of this work contains a list of factors which have supporting or adverse effect on OCB usage. The thesis also includes recommendations for arrangements of the working environment which would increase the willingness of the employees to exhibit OCB

The GenTree Dendroecological Collection, tree-ring and wood density data from seven tree species across Europe

Abstract 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