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Boreal forest CO 2 exchange and evapotranspiration predicted by nine ecosystem process models: Intermodel comparisons and relationships to field measurements
Author(s) -
Amthor J. S.,
Chen J. M.,
Clein J. S.,
Frolking S. E.,
Goulden M. L.,
Grant R. F.,
Kimball J. S.,
King A. W.,
McGuire A. D.,
Nikolov N. T.,
Potter C. S.,
Wang S.,
Wofsy S. C.
Publication year - 2001
Publication title -
journal of geophysical research: atmospheres
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.67
H-Index - 298
eISSN - 2156-2202
pISSN - 0148-0227
DOI - 10.1029/2000jd900850
Subject(s) - evapotranspiration , primary production , eddy covariance , environmental science , atmospheric sciences , ecosystem respiration , ecosystem , sink (geography) , ecology , geography , cartography , biology , geology
Nine ecosystem process models were used to predict CO 2 and water vapor exchanges by a 150‐year‐old black spruce forest in central Canada during 1994–1996 to evaluate and improve the models. Three models had hourly time steps, five had daily time steps, and one had monthly time steps. Model input included site ecosystem characteristics and meteorology. Model predictions were compared to eddy covariance (EC) measurements of whole‐ecosystem CO 2 exchange and evapotranspiration, to chamber measurements of nighttime moss‐surface CO 2 release, and to ground‐based estimates of annual gross primary production, net primary production, net ecosystem production (NEP), plant respiration, and decomposition. Model‐model differences were apparent for all variables. Model‐measurement agreement was good in some cases but poor in others. Modeled annual NEP ranged from −11 g C m −2 (weak CO 2 source) to 85 g C m −2 (moderate CO 2 sink). The models generally predicted greater annual CO 2 sink activity than measured by EC, a discrepancy consistent with the fact that model parameterizations represented the more productive fraction of the EC tower “footprint.” At hourly to monthly timescales, predictions bracketed EC measurements so median predictions were similar to measurements, but there were quantitatively important model‐measurement discrepancies found for all models at subannual timescales. For these models and input data, hourly time steps (and greater complexity) compared to daily time steps tended to improve model‐measurement agreement for daily scale CO 2 exchange and evapotranspiration (as judged by root‐mean‐squared error). Model time step and complexity played only small roles in monthly to annual predictions.

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