Lars Eklundh
Biographic Data
| ID | 6018807 |
|---|---|
| NAME | Lars Eklundh |
| GIVEN NAMES | Lars |
| FAMILY NAME | Eklundh |
| SIGNATURE | EKLUNDH L |
| AFFILIATIONS | Lund University |
| ORCID | 0000-0001-7644-6517 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2004 |
| LATEST PUBLICATION YEAR | 2017 |
| H-INDEX | 0 |
Climate data induced uncertainty in model-based estimations of terrestrial primary productivity
Model-based estimations of historical fluxes and pools of the terrestrial biosphere differ substantially. These differences arise not only from differences between models but also from differences in the environmental and climatic data used as input to the models. Here we investigate the role of uncertainties in historical climate data by performing simulations of terrestrial gross primary productivity (GPP) using a process-based dynamic vegetati…
The supply and demand of net primary production in the Sahel
Net primary production (NPP) is the principal source of energy for ecosystems and, by extension, human populations that depend on them. The relationship between the supply and demand of NPP is important for the assessment of socio-ecological vulnerability. We present an analysis of the supply and demand of NPP in the Sahel using NPP estimates from the MODIS sensor and agri-environmental data from FAOSTAT. This synergistic approach allows for a sp…
Estimating Net Primary Production of Swedish Forest Landscapes by Combining Mechanistic Modeling and Remote Sensing
The aim of this study was to investigate a combination of satellite images of leaf area index (LAI) with process-based vegetation modeling for the accurate assessment of the carbon balances of Swedish forest ecosystems at the scale of a landscape. Monthly climatologic data were used as inputs in a dynamic vegetation model, the Lund Potsdam Jena-General Ecosystem Simulator. Model estimates of net primary production (NPP) and the fraction of absorb…
A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky–Golay filter
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A simple method for reconstructing a high-quality NDVI time-series data set based on the Savitzky–Golay filter
Estimating Net Primary Production of Swedish Forest Landscapes by Combining Mechanistic Modeling and Remote Sensing
The aim of this study was to investigate a combination of satellite images of leaf area index (LAI) with process-based vegetation modeling for the accurate assessment of the carbon balances of Swedish forest ecosystems at the scale of a landscape. Monthly climatologic data were used as inputs in a dynamic vegetation model, the Lund Potsdam Jena-General Ecosystem Simulator. Model estimates of net primary production (NPP) and the fraction of absorb…
The supply and demand of net primary production in the Sahel
Net primary production (NPP) is the principal source of energy for ecosystems and, by extension, human populations that depend on them. The relationship between the supply and demand of NPP is important for the assessment of socio-ecological vulnerability. We present an analysis of the supply and demand of NPP in the Sahel using NPP estimates from the MODIS sensor and agri-environmental data from FAOSTAT. This synergistic approach allows for a sp…
Climate data induced uncertainty in model-based estimations of terrestrial primary productivity
Model-based estimations of historical fluxes and pools of the terrestrial biosphere differ substantially. These differences arise not only from differences between models but also from differences in the environmental and climatic data used as input to the models. Here we investigate the role of uncertainties in historical climate data by performing simulations of terrestrial gross primary productivity (GPP) using a process-based dynamic vegetati…
Environmental Science (4 works) · Ecology (3 works) · Geography (3 works) · Mathematics (3 works) · Meteorology (3 works) · Plant Water Relations and Carbon Dynamics (3 works) · Primary production (3 works) · Climate change (2 works) · Ecosystem (2 works) · Remote sensing (2 works)