-Dead wood is an important structure for conservation purposes and for maintaining biodiversity. In this context, snags were studied under different conditions in silver fir ancient forests of the southern French Alps. The impact of management status and developmental phases were estimated on both quantity and quality of this material. SDT volume averaged 64.6 ± 19.8 m 3 ·ha -1 and 15.8 ± 6.0 m 3 ·ha -1 in unmanaged and managed ancient forests, respectively. SDT volume varied according to the point in the silvicultural cycle and silvigenesis cycle ranging from 4.3 ± 3.4 m 3 ·ha -1 in early aggradation phase of managed forests to 202.3 ± 48.6 m 3 ·ha -1 in degradation phase of unmanaged forest. Large SDT significantly belonged to the degradation phase of unmanaged forests. Our research showed that SDT density in this ancient forests was mainly governed by natural processes. An average of 9 large SDT per ha has been proposed to preserve the ecological processes.Alps / ancient forest / dead wood / ecological persistence / silver fir Résumé -Gestion du bois mort sur pied : comparaison entre forêts anciennes gérées et subnaturelles des Alpes du Sud françaises. La quantité de bois mort est un enjeu important dans la conservation et le maintien de la biodiversité forestière. Dans ce contexte, les bois morts sur pied ont été étudiés dans des hêtraies-sapinières anciennes des Alpes du Sud françaises. L'impact du mode de gestion et des différentes phases du cycle sylvicultural et de la mosaïque sylvatique a été estimé. Le volume moyen de bois mort sur pied atteint 64,6 ± 19,8 m 3 ·ha -1 dans les forêts anciennes inexploitées, alors qu'il n'est que de 15,8 ± 6,0 m 3 ·ha -1 dans les forêts exploitées. Ce volume moyen varie selon la mosaïque sylvatique, passant de 4,3 ± 3,4 m 3 ·ha -1 dans la jeune phase d'aggradation des forêts anciennes exploitées à 202,3 ± 48,6 m 3 ·ha -1 dans la phase de sénescence des forêts anciennes inexploitées. Cette dernière contient significativement les gros bois sec sur pied (DBH > 43 cm). Nos résultats montrent que dans ces écosystèmes montagnards, la disponibilité en bois mort sur pied, est due essentiellement aux fortes contraintes environnementales en présence.Alpes / bois mort / forêt ancienne / persistance écologique / sapin pectiné

Question: Spatial prediction of plant populations is essential for conservation management. This is especially true for rare and/or threatened endemic species, for which knowledge of determinants of distribution is necessary to mitigate threats and counteract decline. We therefore ask if the distribution of an endemic species can be accurately predicted by georeferenced environmental variables or, if anthropogenic variables also need to be taken into account. Location: Alps, Hautes‐Alpes, France. Methods: Potential distribution area and abundance of Eryngium spinalba were predicted with logistic regression and ordinal logistic regression, respectively, in a 57‐km2 watershed. Results: Aspect, global solar radiation in March, elevation and grazing pressure were the main predictors of the probability of occurrence of Eryngium spinalba. Taking into account the persistence of agro‐pastoral activities by diachronic analysis (Napoleonic cadastral map and orthorectified photographs) improved predictions from the model and the level of spatial concordance with independent surveys. Conclusions: Niche modelling improved our understanding of the distribution of this threatened species which, in the context of land abandonment, is diminishing as a result of the decline of its favoured habitats. The key role of pastoral activities and historic continuity for its distribution and persistence was clearly demonstrated.

Question: (i) How does former land use and land use intensity affect seed bank development during post-agricultural succession? (ii) How does time since the last clear-cut change seed bank composition during post-clear-cut succession? Methods: One data set was compiled per succession type using the following selection criteria: (i) the data set included a successional series, (ii) plots were located in mesotrophic forest plant communities and (iii) vegetation data were available. The post-agricultural succession data set comprised 76 recent forest plots (eight studies); the post-clear-cut succession data set comprised 218 ancient forest plots (three studies). Each data set was analysed separately using either linear mixed models or generalized linear models, controlling for both environmental heterogeneity and variation between study locations. Results: In the post-agricultural succession data set, land use and time significantly affected nearly all the studied seed bank characteristics. Seed banks on former arable land recovered poorly even after 150 year of restored forest cover, whereas moderate land use intensities (grasslands, heathlands) yielded more rapid seed bank recovery. Time was a significant determinant of all but two soil seed bank characteristics during post-clear-cut succession. Seed banks in managed ancient forest differed strongly in their characteristics compared to primary forest seed banks. Conclusions: Forest seed banks bear the marks of former land use and/or forest management and continue to do so for at least 150 years. Nevertheless, time since the last major disturbance, being either former land use or clear-cutting, remains a significant determinant of the seed bank

Question When evaluating forests in terms of their biodiversity, distinctiveness and naturalness, the affinity of the constituent species to forests is a crucial parameter. Here we ask to what extent are vascular plant species associated with forests, and does species’ affinity to forests vary between European regions? Location Temperate and boreal forest biome of Northwestern and Central Europe. Methods We compiled EuForPlant, a new extensive list of forest vascular plant species in 24 regions spread across 13 European countries using vegetation databases and expert knowledge. Species were region‐specifically classified into four categories reflecting the degree of their affinity to forest habitats: 1.1, species of forest interiors; 1.2, species of forest edges and forest openings; 2.1, species that can be found in forest as well as open vegetation; and 2.2, species that can be found partly in forest, but mainly in open vegetation. An additional “O” category was distinguished, covering species typical for non‐forest vegetation. Results EuForPlant comprises 1,726 species, including 1,437 herb‐layer species, 159 shrubs, 107 trees, 19 lianas and 4 epiphytic parasites. Across regions, generalist forest species (with 450 and 777 species classified as 2.1 and 2.2, respectively) significantly outnumbered specialist forest species (with 250 and 137 species classified as 1.1 and 1.2, respectively). Even though the degree of shifting between the categories of forest affinity among regions was relatively low (on average, 17.5%), about one‐third of the forest species (especially 1.2 and 2.2) swapped categories in at least one of the study regions. Conclusions The proposed list can be used widely in vegetation science and global change ecology related to forest biodiversity and community dynamics. Shifting of forest affinity among regions emphasizes the importance of a continental‐scale forest plant species list with regional specificity.