A5050941798- Remote Sensing and LiDAR Applications
- Forest ecology and management
- Forest Ecology and Biodiversity Studies
- Plant Water Relations and Carbon Dynamics
- Forest Management and Policy
- Remote Sensing in Agriculture
- Fire effects on ecosystems
- Forest Biomass Utilization and Management
- Ecology and Vegetation Dynamics Studies
- Flood Risk Assessment and Management
- French Urban and Social Studies
- Species Distribution and Climate Change
- Plant and animal studies
- Landslides and related hazards
- Chromosomal and Genetic Variations
- Wildlife Ecology and Conservation
- Plant Pathogens and Fungal Diseases
- Thermal Regulation in Medicine
- Land Use and Ecosystem Services
- Lichen and fungal ecology
- Horticultural and Viticultural Research
- Radioactive contamination and transfer
- Climate Change and Health Impacts
- Tree-ring climate responses
- Greenhouse Technology and Climate Control
Université de Montpellier
2018-2025
Centre National de la Recherche Scientifique
2018-2025
Institut de Recherche pour le Développement
2018-2025
Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement
2019-2025
Centre de Coopération Internationale en Recherche Agronomique pour le Développement
2012-2025
UMR Botanique et Modélisation de l’Architecture des Plantes et des végétations
2012-2024
Écologie des Forêts Méditerranéennes
2023-2024
ARPE PACA
2022
Institut Agro Montpellier
2020-2021
Biostatistique et Processus Spatiaux
2018-2021
Somatic mutations potentially play a role in plant evolution, but common expectations pertaining to somatic remain insufficiently tested. Unlike most animals, the germline is assumed be set aside late development, leading expectation that plants accumulate along growth. Therefore, several predictions were made on fate of mutations: have generally low frequency tissues; at high higher chance intergenerational transmission; branching topology tree dictates mutation distribution; and exposure...
Accurate mapping and monitoring of tropical forests aboveground biomass (AGB) is crucial to design effective carbon emission reduction strategies improving our understanding Earth's cycle. However, existing large-scale maps forest AGB generated through combinations Earth Observation (EO) inventory data show markedly divergent estimates, even after accounting for reported uncertainties. To address this, a network high-quality reference needed calibrate validate algorithms. This study aims...
The emergence of mobile laser scanning (MLS) systems that use simultaneous localization and mapping (SLAM) technology to map their environment opens up new opportunities for characterizing forest structure. speed accuracy data acquisition makes them particularly adapted operational inventories. MLS also shows great potential estimating inventory attributes are difficult measure in the field, such as wood volume or crown dimensions. Hardwood species represent a significant challenge...
Terrestrial LiDAR scanning (TLS) data are of great interest in forest ecology and management because they provide detailed 3-D information on tree structure. Automated pipelines increasingly used to process TLS extract various tree- plot-level metrics. With these developments comes the risk unknown reliability due an absence systematic output control. In present study, we evaluated estimation errors metrics, such as wood volume, at plot levels for four automated pipelines.We collected from a...
Individual tree extraction from terrestrial laser scanning (TLS) data is a prerequisite for tree-scale estimations of forest biophysical properties. This task currently undertaken through laborious and time-consuming manual assistance quality control. study presents new fully automatic approach to extract single trees large-area TLS data. data-driven method operates exclusively on point cloud graph by path finding, which makes our computationally efficient universally applicable various...
Summary Niche differentiation is a key issue in the current debate on community assembly mechanisms. In highly diverse moist tropical forests, tree species sensitivity to canopy openness thought be major axis niche differentiation. past, syndrome of traits driving demographic trade‐off involved niche‐based theory coexistence has always been established among situated at two extremities shade‐tolerance gradient, even though most have intermediate light requirements. addition, trait plasticity...
This study explores how data from a handheld mobile laser scanning (MLS) system and quantitative structural models (QSM) can be used to estimate tree attributes. Four MLS acquisition scenarios were investigated in 1 ha temperate hardwood stand, including 15 35 m parallel lines, nine circular plots, 20 × grid. Results compared against terrestrial destructive field measurements. All yielded comparable results, except for the scenario, which showed greater variability. The grid scenario highest...
Abstract To fulfil their growth and reproductive functions, trees develop a three‐dimensional structure that is subject to both internal external constraints. This reflected by the unique architecture of each individual at given time. Addressing crown dimensions topological large tropical challenging considering complexity, size longevity. Terrestrial laser scanning (TLS) technology offers new opportunity for characterising comparing these properties across number individuals species. In...
UAV laser scanning (ULS) has the potential to support forest operations since it provides high-density data with flexible operational conditions. This study examined use of ULS systems estimate several tree attributes from an uneven-aged northern hardwood stand. We investigated: (1) transferability raster-based and bottom-up point cloud-based individual detection (ITD) algorithms data; (2) automated approaches retrieval tree-level (i.e., height, crown diameter (CD), DBH) stand-level count,...
Advances in computational power and methods, the widespread availability of remote sensing data have driven development machine learning models for estimating global carbon storage. Current often rely on dozens predictor variables to estimate aboveground biomass density (AGBD), resulting accurate but complex that are challenging interpret from a biological ecological standpoint. Yet, it remains unclear whether such model complexity is essential achieving predictions. This manuscript...
The analysis of animal movement within different landscapes may increase our understanding how landscape features affect the perceptual range animals. Perceptual is linked to probability an via a dispersal kernel, latter being generally considered as spatially invariant but could be affected. We hypothesize that spatial plasticity animal's kernel greatly modify its distribution in time and space. After radio tracking movements walking insects (Cosmopolites sordidus) banana plantations, we...
Abstract Wood density (WD) relates to important tree functions such as stem mechanics and resistance against pathogens. This functional trait can exhibit high intraindividual variability both radially vertically. With the rise of LiDAR-based methodologies allowing nondestructive volume estimations, failing account for WD variations related function biomass investment strategies may lead large systematic bias in AGB estimations. Here, we use a unique destructive dataset from 822 trees...
Kernels found in stone pinecones are of great economic value, often surpassing timber income for most forest owners. Visually evaluating cone production on standing trees is challenging since the cones located sun-exposed part crown, and covered by two vegetative shoots. Very few studies were carried out how new remote sensing technologies such as terrestrial laser scanners (TLS) can be used assessing production, or trying to explain tree-to-tree variability within a given stand. Using data...
The material distribution inside tree crowns is difficult to quantify even though it an important variable in forest management and ecology. vertical of a relative density index (i.e., profile) the total, woody, leafy at crown scale were estimated from terrestrial laser scanner (TLS) data on two species, sugar maple (Acer saccharum Marsh.) balsam fir (Abies Balsamea Mill.). An algorithm based geometrical approach readily available Computree open source platform was used. Beta distributions...
Background and Aims Trees invest in both primary (e.g. height) secondary diameter) growth. The trade-off between these investments varies species changes with the tree growing environment. To better establish this trade-off, readily available allometric exponents relating height to diameter at breast (γh,dbh) stem volume (αv,dbh) were simultaneously studied. Methods Allometric αv,dbh γh,dbh obtained from 8893 individual analyses two broadleaved (Betula papyrifera, Populus tremuloides) four...
Abstract The spatial distributions of populations are both influenced by local variables and characteristics surrounding landscapes. Understanding how landscape features spatially structure the frequency a trait in population, abundance species or species’ richness remains difficult specially because scale effects unknown. Various methods have been proposed but their results not easily comparable. Here, we introduce “siland”, general method for analyzing effect features. Based on sequential...
Abstract Somatic mutations potentially play a role in plant evolution, but common expectations pertaining to somatic remain insufficiently tested. Unlike most animals, the germline is assumed be set aside late development, leading expectation that plants accumulate along growth. Therefore, several predictions were made on fate of mutations: have generally low frequency tissues; at high higher chance intergenerational transmission; branching topology tree dictates mutation distribution; and,...
A model comparison approach, based on Akaike's information criterion, was used to evaluate the contribution of terrestrial laser scanning (TLS) estimation wood fiber attributes at tree level for black spruce (Picea mariana (Mill.) B.S.P.) trees growing in Newfoundland, Canada. Substantial efforts were made acquire, process, and develop accurate detailed metrics tree, its crown, immediate environment. Based resulting data set, significant relationships found, models successfully developed,...