- Plant Water Relations and Carbon Dynamics
- Remote Sensing in Agriculture
- Atmospheric and Environmental Gas Dynamics
- Remote Sensing and LiDAR Applications
- Climate variability and models
- Species Distribution and Climate Change
- Plant responses to elevated CO2
- Meteorological Phenomena and Simulations
- Horticultural and Viticultural Research
- Urban Heat Island Mitigation
- Forest Management and Policy
- Tree-ring climate responses
- Soil Carbon and Nitrogen Dynamics
- Forest ecology and management
- Fire effects on ecosystems
- Ecology and Vegetation Dynamics Studies
- Cryospheric studies and observations
- Magnetic Field Sensors Techniques
- Remote Sensing and Land Use
- Energy Load and Power Forecasting
- Peatlands and Wetlands Ecology
- Market Dynamics and Volatility
- Soil erosion and sediment transport
- Water Quality Monitoring and Analysis
- Hydrology and Watershed Management Studies
University of Antwerp
2014-2024
CMCC Foundation - Euro-Mediterranean Center on Climate Change
2024
Centre for Research on Ecology and Forestry Applications
2017-2022
Consejo Superior de Investigaciones Científicas
2017-2022
Global Ecology Unit CREAF-CSIC-UAB
2019-2020
Bellingham Technical College
2018
Università degli Studi della Tuscia
2007-2015
Abstract The European Centre for Medium‐Range Weather Forecasts land surface model has been extended to include a carbon dioxide module. This relates photosynthesis radiation, atmospheric (CO 2 ) concentration, soil moisture, and temperature. Furthermore, it the option of deriving canopy resistance from providing as stomatal control transpiration formulation. Ecosystem respiration is based on empirical relations dependent temperature, snow depth, use. CO designed numerical weather prediction...
The increase in aridity, mainly by decreases precipitation but also higher temperatures, is likely the main threat to diversity and survival of Mediterranean forests. Changes land use, including abandonment extensive crop activities, mountains remote areas, increases human settlements demand for more resources with resulting fragmentation landscape, hinder establishment appropriate management tools protect forests their provision services biodiversity. Experiments observations indicate that...
Abstract. Plant phenological development is orchestrated through subtle changes in photoperiod, temperature, soil moisture and nutrient availability. Presently, the exact timing of plant stages their response to climate management practices are crudely represented land surface models. As visual observations phenology laborious, there a need supplement long-term with automated techniques such as those provided by digital repeat photography at high temporal spatial resolution. We present first...
Abstract Severe droughts strongly impact photosynthesis (GPP), and satellite imagery has yet to demonstrate its ability detect drought effects. Especially changes in vegetation functioning when state remains unaltered (no browning or defoliation) pose a challenge satellite-derived indicators. We evaluated the performance of different indicators strong effects on GPP beech forest France (Hesse), where remained largely unaffected while decreased substantially. compared results with three...
This article examines the possibility of exploiting ground reflectance in near-infrared (NIR) for monitoring grassland phytomass on a temporal basis. Three new spectral vegetation indices (infrared slope index, ISI; normalized infrared difference NIDI; and structural NDSI), which are based values H25 (863-881 nm) H18 (745-751 Chris Proba (mode 5) bands, proposed. Ground measurements hyperspectral were made at six sites Italian Austrian mountains using hand-held spectroradiometer. At full...
Summary Information on the onset of leaf senescence in temperate deciduous trees and comparisons its assessment methods are limited, hampering our understanding autumn dynamics. We compare five field proxies, remote sensing proxies two data analysis approaches to assess at one main beech stand, stands oak birch, three ancillary same species Belgium during 2017 2018. Across sites, was not significantly different for based Chl content canopy coloration, except an advanced coloration extremely...
Abstract. Resolving the spatial and temporal dynamics of gross primary productivity (GPP) terrestrial ecosystems across different scales remains a challenge. Remote sensing is regarded as solution to upscale point observations conducted at ecosystem level, using eddy covariance (EC) technique, landscape global levels. In addition traditional vegetation indices, photochemical reflectance index (PRI) emission solar-induced chlorophyll fluorescence (SIF), now measurable from space, provide new...
This study aimed to understand which vegetation indices (VIs) are an ideal proxy for describing phenology and interannual variability of Gross Primary Productivity (GPP) in short-rotation coppice (SRC) plantations. Canopy structure- chlorophyll-sensitive VIs derived from Sentinel-2 images were used estimate the start end growing season (SOS EOS, respectively) during period 2016–2018, SRC poplar (Populus spp.) plantation Lochristi (Belgium). Three different filtering methods (Savitzky–Golay...
Rainfall-induced soil erosion is recognized as a significant threat to both human and ecosystem health, leading habitat degradation, food insecurity, disruptions socio-economic activities, damage infrastructure. Addressing mitigating has become priority in global national strategies, therefore requiring multitemporal large-scale assessments understand how precipitation patterns, properties, surface conditions interact contribute specific areas over time. In these assessments, the land cover...
(1) Land surface models require inputs of temperature and moisture variables to generate predictions gross primary production (GPP). Differences between leaf air vary temporally spatially may be especially pronounced under conditions low soil availability. The Sentinel-3 satellite mission offers estimates the land (LST), which for vegetated pixels can adopted as canopy temperature. Could remotely sensed LST offer a parsimonious input by combining information on hydration? (2) Using light use...
Abstract. This paper reports a comparison between large-scale simulations of three different land surface models (LSMs), ORCHIDEE, ISBA-A-gs and CTESSEL, forced with the same meteorological data, compared carbon fluxes measured at 32 eddy covariance (EC) flux tower sites in Europe. The results show that have best performance for forest poorest cropland grassland sites. In addition, difficulties capturing seasonality Mediterranean sub-tropical biomes, characterized by dry summers. reduced...
The objective of this paper was to evaluate the use in situ normalized difference vegetation index (NDVIis) and Moderate Resolution Imaging Spectroradiometer NDVI (NDVIMD) time series data as proxies for ecosystem gross primary productivity (GPP) improve GPP upscaling. We used flux from 21 global FLUXNET sites across main biomes (forest, grassland, cropland) derived MODIS at contrasting spatial resolutions (between 0.5 × km 3.5 km) centered tower location. goodness relationship between...
Abstract. The processes involved in the exchange of water, energy and carbon terrestrial ecosystems are strongly intertwined. To accurately represent biosphere land surface models (LSMs), intrinsic coupling between these is required. Soil moisture leaf area index (LAI) two key variables at nexus vegetation. Here, we evaluated prognostic LSMs (ISBA ORCHIDEE) a diagnostic model (based on LSA SAF, Satellite Application Facility for Land Surface Analysis, algorithms) their ability to simulate...
Abstract. In this paper we explore the skill of hyperspectral reflectance measurements and vegetation indices (VIs) derived from these in estimating carbon dioxide (CO2) fluxes grasslands. Hyperspectral data, CO2 biophysical parameters were measured at three grassland sites located European mountain regions using standardized protocols. The relationships between fluxes, ecophysiological variables, traditional VIs all two-band combinations wavelengths available whole data space analysed. We...