Historical dataset of population level and growth rate for the Bordeaux, France metro area from 1950 to 2025.

According to a survey conducted in early 2018, half of the surveyed French declared using the bike as a mean of transportation. However, ** percent of them said to bike less than once a month and only **** percent used the bicycle daily or almost daily as their transportation.  The vast majority of French surveyed by the French bicycle touring federation declared taking a bike for leisure activities, while almost a third said using it as a mean of transportation.

Usage of bicycles in city areas in France

Strasbourg, Grenoble and Bordeaux were the cities with the highest percentage of employees who used the bike to go to work in France in 2015 : in these metropoles between ** and ** percent of the working population went to work cycling. In Paris only **** percent of employees did so. This ratio appears to be more important when people commute within city-centers or big cities, which would be linked to the presence of better cycling infrastructures.

Overall bicycle mobility goals in France

On the observation that daily bike use represents only ***** percent of all daily travels, the French government stressed in September 2018 a “Plan Vélo” (Bicycle Plan). This to increase the bicycle mobility until 2024, along with the goal of ensuring security and to better cycling infrastructures. most of French bike users seemed to still feel unsecure when cycling in cities in a survey conducted in 2017.

Genomic offset models are increasingly popular tools for identifying populations at risk of maladaptation under climate change. These models estimate the extent of genetic change required for populations to remain adapted under future climate change scenarios, but face strong limitations and still lack broad empirical testing. Using 9,817 single nucleotide polymorphisms (SNPs) genotyped in 454 trees from 34 populations of maritime pine, a species with a marked population genetic structure, we found substantial variability across genomic offset predictions from different methods, SNP sets, and general circulation models. Using five common gardens, we mostly found positive associations between genomic offset predictions and mortality, as expected. However, contrary to our expectations, we observed very few negative monotonic associations between genomic offset predictions and height. Higher mortality rates were also observed in national forest inventory plots with high genomic offset, but..., , , # Data and code from: Evaluating genomic offset predictions in a forest tree with high population genetic structure

Juliette Archambeau^1,2, Marta Benito-Garzón¹, Marina de-Miguel^1,3, Alexandre Changenet¹, Francesca Bagnoli⁴, Frédéric Barraquand⁵, Maurizio Marchi⁴, Giovanni G. Vendramin⁴, Stephen Cavers², Annika Perry² and Santiago C. González-MartÃnez¹

1 INRAE, Univ. Bordeaux, BIOGECO, F-33610 Cestas, France

2 UK Centre for Ecology & Hydrology, Bush Estate, Penicuik, United Kingdom

3 EGFV, Univ. Bordeaux, Bordeaux Sciences Agro, INRAE, ISVV, F-33882, Villenave d'Ornon, France

4 Institute of Biosciences and BioResources, National Research Council, 50019 Sesto Fiorentino, Italy

5 CNRS, Institute of Mathematics of Bordeaux, F-33400 Talence, France

Corresponding author: Juliette Archambeau, [juli.archambeau@gmail.com](mailto:juli.archambeau@...

Cette carte représente la proportion des plus de 65 ans. C'est à dire le rapport entre la population des plus de 65 ans et la population totale. On distingue très clairement les zones où la proportion des plus de 65 ans est la plus importante (en jaune). Les données utilisées proviennent du produit FranceIRIS® développé par Esri France.