Details zur Publikation

Kategorie Textpublikation
Referenztyp Zeitschriften
DOI 10.1111/j.1529-8817.2003.00743.x
Titel (primär) The seasonal temperature dependency of photosynthesis and respiration in two deciduous forests
Autor Jarvis, A.J.; Stauch, V.J.; Schulz, K.; Young, P.C.
Quelle Global Change Biology
Erscheinungsjahr 2004
Department CLE
Band/Volume 10
Heft 6
Seite von 939
Seite bis 950
Sprache englisch
Keywords CO2; eddy covariance; photosynthesis; respiration; state-dependent parameter; temperature
Abstract Novel nonstationary and nonlinear dynamic time series analysis tools are applied to multiyear eddy covariance CO2 flux and micrometeorological data from the Harvard Forest and University of Michigan Biological Station field study sites. Firstly, the utility of these tools for partitioning the gross photosynthesis and bulk respiration signals within these series is demonstrated when employed within a simple model framework. This same framework offers a promising new method for gap filling missing CO2 flux data. Analysing the dominant seasonal components extracted from the CO2 flux data using these tools, models are inferred for daily gross photosynthesis and bulk respiration. Despite their simplicity, these models fit the data well and yet are characterized by well-defined parameter estimates when the models are optimized against calibration data. Predictive validation of the models also demonstrates faithful forecasts of annual net cumulative CO2 fluxes for these sites.
dauerhafte UFZ-Verlinkung https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=4206
Jarvis, A.J., Stauch, V.J., Schulz, K., Young, P.C. (2004):
The seasonal temperature dependency of photosynthesis and respiration in two deciduous forests
Glob. Change Biol. 10 (6), 939 - 950 10.1111/j.1529-8817.2003.00743.x