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Estimating Net Primary Production of Swedish Forest Landscapes by Combining Mechanistic Modeling and Remote Sensing

Bibliographic Data

ID10888293
AuthorsTorbern Tagesson (0000-0003-3011-1775, Lund University, corresponding author), Benjamin Smith (0000-0003-1215-4093, Lund University, corresponding author), Anders Löfgren (Lund University, corresponding author), Anja Rammig (0000-0001-5425-8718, Lund University, corresponding author), Lars Eklundh (0000-0001-7644-6517, Lund University, corresponding author), Anders Lindroth (0000-0002-7669-784X, corresponding author)
Year2009
Volume38
Issue6
Pages316-324
Publication date2009-09-01
Open AccessNo
TypeARTICLE
VenueAMBIO (JOURNAL)
Journal identifiersISSN: 0044-7447 • E-ISSN: 1654-7209
PublisherRoyal Swedish Academy of Sciences (PUBLISHER • SE)
DOI10.1579/08-a-513.1
PMID19860155
OpenAlexW2174291926
LanguageEN
References cited4

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 absorbed photosynthetic active radiation were constrained by combining them with satellite-based LAI images using a general light use efficiency (LUE) model and the Beer-Lambert law. LAI estimates were compared with satellite-extrapolated field estimates of LAI, and the results were generally acceptable. NPP estimates directly from the dynamic vegetation model and estimates obtained by combining the model estimates with remote sensing information were, on average, well simulated but too homogeneous among vegetation types when compared with field estimates using forest inventory data

Cartography · Ecosystem · Ecosystem model · Geography · Leaf area index · Meteorology · Photosynthesis · Photosynthetically active radiation · Primary production · Remote sensing · Satellite · Scale (ratio · Vegetation (pathology · Ecology · Environmental Science · Plant Water Relations and Carbon Dynamics · Remote Sensing in Agriculture · Urban Heat Island Mitigation

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Highly citedNo

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