Title
Modelling short-term <tex>$CO_{2}$</tex> fluxes and long-term tree growth in temperate forests with ASPECTS Modelling short-term <tex>$CO_{2}$</tex> fluxes and long-term tree growth in temperate forests with ASPECTS
Author
Faculty/Department
Faculty of Sciences. Biology
Publication type
article
Publication
Amsterdam ,
Subject
Chemistry
Biology
Source (journal)
Ecological modelling. - Amsterdam
Volume/pages
141(2001) :1-3 , p. 35-52
ISSN
0304-3800
ISI
000170638600003
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
Affiliation
University of Antwerp
Abstract
The net ecosystem exchange (NEE) Of CO2 between temperate forests and the atmosphere governs both carbon removal from the atmosphere and forest growth. In recent years, many experiments have been conducted to determine temperate forest NEE. These data have been used by forest modellers to better understand the processes that govern CO, fluxes, and estimate the evolution of these fluxes under changing environmental conditions. Nevertheless, it is not clear whether models capable of handling short-term processes, which are mostly source-driven, can provide an accurate estimate of long-term forest growth, which is potentially more influenced by sink- and phenology-related processes. To analyse the interactions between short- and long-term processes, we developed the ASPECTS model, which predicts long-term forest growth by integrating, over time, hourly NEE estimates. Validation data consisting of measurements of NEE by eddy-covariance and forest carbon reservoir estimates were obtained from mixed deciduous and evergreen experimental forests located in Belgium. ASPECTS accurately estimated both: (1) the NEE fluxes for several years of data; and (2) the amount of carbon contained in stems, branches, leaves, fine and coarse roots. Our simulations demonstrated that: (1) NEE measurements in Belgian forests are compatible with forest growth over the course of the 20th century, and (2) that forest history and long-term processes need to be considered for accurate simulation of short-term CO2 fluxes. (C) 2001 Elsevier Science B.V. All rights reserved.
E-info
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