Data in repository Archive

21 Feb 2024

Wood, knots and bark extractives for oak, beech and Douglas fir: a dataset based on a review of the scientific literature

Key message Wood_db-chemistry gathers information on oak, beech and Douglas fir extractives studied between 1950 and 2020. The data can be used by researchers, stakeholders in the forest-wood sector and the chemical industry to make the most
23 Jan 2024

Aiming at a moving target: economic evaluation of adaptation strategies under the uncertainty of climate change and CO2 fertilization of European beech (Fagus sylvatica L.) and Silver fir (Abies alba Mill.)

Key message Drought severely worsened till 2100 and eventually outplayed growth-enhancing CO2 fertilization turning productivity gains into losses for beech and fir. Most scenarios generated notable losses in profitability but economic tipping points were later than for
18 Jan 2024

Factors determining fine-scale spatial genetic structure within coexisting populations of common beech (Fagus sylvatica L.), pedunculate oak (Quercus robur L.), and sessile oak (Q. petraea (Matt.) Liebl.)

Key message Naturally regenerating populations of common beech, pedunculate and sessile oaks develop strong spatial genetic structures at adult and seedling stages. Significant genetic relationship occurs between individuals growing up to 60 m apart. This indicates the
16 Jan 2024

Forest management and former land use have no effect on soil fungal diversity in uneven-aged mountain high forests

Key message Metabarcoding analysis of soil fungal communities in French mountain forests revealed that harvesting intensity, time since last harvest and former land use had no effect on fungal community composition compared to key abiotic factors. Low-intensity
6 Dec 2023

Post-fire forest recovery at high latitudes: tree regeneration dominated by fire-adapted, early-seral species increases with latitude

Key message Above 40° N/S, increasing latitude is linked to greater post-fire tree regeneration. However, species dominance shifts from conifers to short-lived deciduous trees, which may negatively impact flora, fauna, and ecosystem services dependent on coniferous forests.
1 Dec 2023

Participatory ground data are complementary to satellite bark beetle detection

Key message During pest outbreaks, mapping tools play an important role. Participatory projects can provide useful ground data, which have a high accuracy in detecting early-stage infestations and small spots of the European spruce bark beetle Ips
30 Nov 2023

Three systems of molecular markers reveal genetic differences between varieties sabina and balkanensis in the Juniperus sabina L. range

Key message Juniperus sabina var. balkanensis, that is of hybrid origin, and its maternal progenitor J. sabina var. sabina are genetically distinct with respect to cpDNA, SNP, and SilicoDArT loci. Mostly non-overlapping distributions of the sabina and
22 Nov 2023

Estimation of aboveground biomass and carbon stocks of Quercus ilex L. saplings using UAV-derived RGB imagery

Key message Crown area, sapling height, and biovolume extracted from UAV-acquired RGB images provided accurate estimates of aboveground biomass and carbon stocks in a 5-year-old holm oak (Quercus ilex L.) plantation. Our models regressing UAV-derived sapling variables
27 Oct 2023

Genetic variation of Scots pine (Pinus sylvestris L.) in Eurasia: impact of postglacial recolonization and human-mediated gene transfer

Key message The range-wide level of genetic variation of Scots pine (Pinus sylvestris L.) is geographically structured. High admixture and low genetic structure of populations in Central Europe and Fennoscandia suggest past recolonization from multiple sources and
23 Oct 2023

Effect of sample size on the estimation of forest inventory attributes using airborne LiDAR data in large-scale subtropical areas

Key message Sample size (number of plots) may significantly affect the accuracy of forest attribute estimations using airborne LiDAR data in large-scale subtropical areas. In general, the accuracy of all models improves with increasing sample size. However,