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Titel |
Modelling soil temperature and moisture and corresponding seasonality of photosynthesis and transpiration in a boreal spruce ecosystem |
VerfasserIn |
S. H. Wu, P.-E. Jansson |
Medientyp |
Artikel
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Sprache |
Englisch
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ISSN |
1027-5606
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Digitales Dokument |
URL |
Erschienen |
In: Hydrology and Earth System Sciences ; 17, no. 2 ; Nr. 17, no. 2 (2013-02-20), S.735-749 |
Datensatznummer |
250017721
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Publikation (Nr.) |
copernicus.org/hess-17-735-2013.pdf |
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Zusammenfassung |
Recovery of photosynthesis and transpiration is strongly restricted by low
temperatures in air and/or soil during the transition period from winter to
spring in boreal zones. The extent to which air temperature (Ta) and
soil temperature (Ts) influence the seasonality of photosynthesis and
transpiration of a boreal spruce ecosystem was investigated using a
process-based ecosystem model (CoupModel) together with eddy covariance
(EC) data from one eddy flux tower and nearby soil measurements at
Knottåsen, Sweden. A Monte Carlo-based uncertainty method (GLUE)
provided prior and posterior distributions of simulations representing a
wide range of soil conditions and performance indicators. The simulated
results showed sufficient flexibility to predict the measured cold and warm
Ts in the moist and dry plots around the eddy flux tower. Moreover, the
model presented a general ability to describe both biotic and abiotic
processes for the Norway spruce stand. The dynamics of sensible heat fluxes
were well described by the corresponding latent heat fluxes and net ecosystem
exchange of CO2. The parameter ranges obtained are probably valid to
represent regional characteristics of boreal conifer forests, but were not
easy to constrain to a smaller range than that produced by the assumed prior
distributions. Finally, neglecting the soil temperature response function
resulted in fewer behavioural models and probably more compensatory errors
in other response functions for regulating the seasonality of ecosystem
fluxes. |
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