Estimating parameters of a forest ecosystem C model with measurements of stocks and fluxes as joint constraints

We conducted an inverse modeling analysis, using a variety of data streams (tower-based eddy covariance measurements of net ecosystem exchange, NEE, of CO₂, chamber-based measurements of soil respiration, and ancillary ecological measurements of leaf area index, litterfall, and woody biomass increme...

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Veröffentlicht in:	Oecologia Jg. 164; H. 1; S. 25 - 40
Hauptverfasser:	Richardson, Andrew D, Williams, Mathew, Hollinger, David Y, Moore, David J. P, Dail, D. Bryan, Davidson, Eric A, Scott, Neal A, Evans, Robert S, Hughes, Holly, Lee, John T, Rodrigues, Charles, Savage, Kathleen
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Berlin/Heidelberg Berlin/Heidelberg : Springer-Verlag 01.09.2010 Springer Springer Berlin Heidelberg Springer Nature B.V
Schlagworte:	Analysis Animal and plant ecology Animal, plant and microbial ecology biogeochemical cycles Biological and medical sciences Biomass Biomedical and Life Sciences Calibration Carbon Carbon content Carbon Cycle Carbon cycle (Biogeochemistry) Carbon dioxide Carbon Dioxide - metabolism carbon sinks Cell Respiration confidence interval Data processing Data-model fusion Ecology Ecosystem Ecosystem models Ecosystems Eddy covariance fine roots Forest ecology Forest ecosystems Forestry Forests Fundamental and applied biological sciences. Psychology General aspects General forest ecology Generalities. Production, biomass. Quality of wood and forest products. General forest ecology growth & development Howland Forest Hydrology/Water Resources Inverse modeling Leaf area leaf area index Life Sciences Maine Mathematical independent variables Measurement metabolism model uncertainty model validation Modeling Models, Biological Net ecosystem exchange Parameter estimation Parametric models PHYSIOLOGICAL ECOLOGY - ORIGINAL PAPER Picea Picea - metabolism Plant Leaves Plant Leaves - growth & development Plant Sciences prediction Respiration Roots Soil Soil respiration Soils Uncertainty Maine Carbon cycle Parameter estimation Uncertainty Eddy covariance Data-model fusion Howland Forest Inverse modeling Forests Forest zone Modeling Data fusion Models Stock
ISSN:	0029-8549, 1432-1939, 1432-1939
Online-Zugang:	Volltext
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