Article (Scientific journals)
HETEROFOR 1.0: a spatially explicit model for exploring the response of structurally complex forests to uncertain future conditions – Part 1: Carbon fluxes and tree dimensional growth
Jonard, Mathieu; André, Frédéric; de Coligny, François et al.
2020In Geoscientific Model Development, 13, p. 905-935
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Abstract :
[en] Given the multiple abiotic and biotic stressors resulting from global changes, management systems and practices must be adapted in order to maintain and reinforce the resilience of forests. Among others, the transformation of monocultures into uneven-aged and mixed stands is an avenue to improve forest resilience. To explore the forest response to these new silvicultural practices under a changing environment, one needs models combining a process-based approach with a detailed spatial representation, which is quite rare. We therefore decided to develop our own model (HETEROFOR for HETEROgeneous FORest) according to a spatially explicit approach, describing individual tree growth based on resource sharing (light, water and nutrients). HETEROFOR was progressively elaborated within Capsis (Computer-Aided Projection for Strategies in Silviculture), a collaborative modelling platform devoted to tree growth and stand dynamics. This paper describes the carbon-related processes of HETEROFOR (photosynthesis, respiration, carbon allocation and tree dimensional growth) and evaluates the model performances for three broadleaved stands with different species compositions (Wallonia, Belgium). This first evaluation showed that HETEROFOR predicts well individual radial growth (Pearson's correlation of 0.83 and 0.63 for the European beech and sessile oak, respectively) and is able to reproduce size–growth relationships. We also noticed that the net to gross primary production (npp to gpp) ratio option for describing maintenance respiration provides better results than the temperature-dependent routine, while the process-based (Farquhar model) and empirical (radiation use efficiency) approaches perform similarly for photosynthesis. To illustrate how the model can be used to predict climate change impacts on forest ecosystems, we simulated the growth dynamics of the mixed stand driven by three IPCC climate scenarios. According to these simulations, the tree growth trends will be governed by the CO2 fertilization effect, with the increase in vegetation period length and the increase in water stress also playing a role but offsetting each other.
Disciplines :
Environmental sciences & ecology
Author, co-author :
Jonard, Mathieu;  Université Catholique de Louvain - UCL
André, Frédéric;  Université Catholique de Louvain - UCL
de Coligny, François;  Université de Montpellier
de Wergifosse, Louis;  Université Catholique de Louvain - UCL
Beudez, Nicolas;  Université de Montpellier
Davi, Hendrik;  INRAE - Institut National de la Recherche Pour l'Agriculture, l'Alimentation et l'Environnement
Ligot, Gauthier ;  Université de Liège - ULiège > Département GxABT > Laboratoire de Foresterie des régions trop. et subtropicales
Ponette, Quentin;  Université Catholique de Louvain - UCL
Vincke, Caroline;  Université Catholique de Louvain - UCL
Language :
English
Title :
HETEROFOR 1.0: a spatially explicit model for exploring the response of structurally complex forests to uncertain future conditions – Part 1: Carbon fluxes and tree dimensional growth
Publication date :
2020
Journal title :
Geoscientific Model Development
ISSN :
1991-959X
eISSN :
1991-9603
Publisher :
Copernicus Gesellschaften, Germany
Volume :
13
Pages :
905-935
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 05 March 2020

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