7 Jan 2022
Modelling bark volume for six commercially important tree species in France: assessment of models and application at regional scale
Key message A set of models of bark thickness at breast height and bark volume are now available for six species in France. A common model suitable for predicting bark volume was proposed for all species. A
6 Jan 2022
Localized neighborhood species mingling is correlated with individual tree size inequality in natural forests in South China
Key message We identified the significant spatial relationships between tree species mingling and size inequality in various species-rich natural forests in South China. Forest communities with low species mingling, or segregation of heterospecific trees, exhibited increased segregation
5 Jan 2022
Mapping tropical forest trees across large areas with lightweight cost-effective terrestrial laser scanning
Key message We used lightweight terrestrial laser scanning (TLS) to detect over 3000 stems per hectare across a 12-ha permanent forest plot in French Guiana, 81% of them < 10 cm in trunk diameter. This method retrieved 85% of
5 Jan 2022
Methods for separating orchards from forest using airborne LiDAR
Key message The aim of the study was to distinguish orchards from other lands with forest vegetation based on the data from airborne laser scanning. The methods based on granulometry provided better results than the pattern analysis.
16 Dec 2021
Call for a new AFS topical issue: Trees, forests and water – recent advances on resistance and resilience to water deficits.
By Véronique Lesage On 16 December 2021 In All published articles, Editorial news, For authors, Special issue/Topical collection
Editors: Erwin Dreyer, Hervé Cochard, Jean Marc Guehl, André Granier (INRAE) ; Maurizio Mencuccini (CREAF). Scope : Ecophysiology and functional ecology of trees and forests have made tremendous progress over the last decades and attracted much attention in
15 Dec 2021
Prescribed burning as a cost-effective way to address climate change and forest management in Mediterranean countries
Key message As climate change and forest management become the focus of various development agendas and the price of carbon rises in the market, the need for improving carbon sequestration and avoiding wildfires emissions increases. Prescribed burning
8 Dec 2021
Short-term stem diameter variations in irrigated and non-irrigated stone pine (Pinus pinea L.) trees in a xeric non-native environment
Key message Irrigation of adult stone pine trees growing in a xeric non-native habitat had positive effects not only in stem diameter growth but also in tree response to climatic variability. Abstract Context Stone pine is a
7 Dec 2021
Shrub richness is primarily driven by climate conditions in Southwestern European woodlands
By Véronique Lesage On 7 December 2021 In All published articles, Data in repository, Open Access, Research paper
Key message The shrub species richness in Spanish forests is mainly linked to climatic variables and the importance of the groups of variables scarcely differs among forest types. Forest surrounding the Mediterranean Basin exhibit the highest levels
1 Dec 2021
A generic information framework for decision-making in a forest-based bio-economy
By Véronique Lesage On 1 December 2021 In All published articles, Data in repository, Research paper
Key message We present a methodological framework that both scientists and supply chain actors can mobilise to organise information at different scales of observation, and further make informed decisions regarding the supply and extraction of bio-molecules from
23 Nov 2021
Recognition of dominant driving factors behind sap flow of Liquidambar formosana based on back-propagation neural network method
By Véronique Lesage On 23 November 2021 In All published articles, Data in repository, Research paper
Key message Three-layered back-propagation (BP) neural networks with architecture 4–10-1 (four neurons in the input layer, ten neurons in the hidden layer and one neuron in the output layer) performed better than MLR (multivariate linear regression) in