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Unité de recherche
COST
Numéro de projet
C07.0123
Titre du projet
MEPHYSTO: Merging empirical, ecophysiological and spatio-temporal population dynamics forest models
Titre du projet anglais
MEPHYSTO: Merging empirical, ecophysiological and spatio-temporal population dynamics forest models

Textes relatifs à ce projet

 AllemandFrançaisItalienAnglais
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Programme de recherche
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Description succincte
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Partenaires et organisations internationales
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Résumé des résultats (Abstract)
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Références bases de données
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Textes saisis


CatégorieTexte
Mots-clé
(Anglais)
Forest modelling; ecophysiological models; population dynamics models; drought stress effects; up-scaling; heterogeneity
Programme de recherche
(Anglais)
COST-Action FP0603 - Forest models for research and decision support in sustainable forest management
Description succincte
(Anglais)
For sustainable forest management over large areas and for simulating different forest functions especially under changing conditions, different aspects of the system 'forest' must be modelled jointly: ecophysiological/biogeochemical processes, population dynamics, spatial interactions, and horizontal/vertical/ species stand structure. Several models exist which combine ecophysiology with population dynamics of species or plant functional types (dynamic global vegetation models, hybrid models of individual based and ecophysiological models). However, none of these models takes into account all those aspects together and works at the same time at an extent larger than a single stand. We intend to develop a forest model with a stand-size grain suitable to be applied on large areas for assessment of, e.g., climate change or management effects on forest functions. This will be achieved by merging and if necessary up- and down-scaling model functions of ecophysiological and population dynamical processes contained in existing models (single tree physiology, local scale ecophysiological, empirical forest growth, spatio-temporal forest landscape, and dynamic global vegetation models). Because drought is predicted to occur more frequently with climate change, a focus will be on drought and its effects on trees. The resulting model will be calibrated and tested against data from the Swiss National Forest Inventory, data of tree responses to the 2003 drought, and C-flux- measurements.
Partenaires et organisations internationales
(Anglais)
AT, BE, BG, CH, CZ, DE, DK, EE, ES, FI, FR, GR, HR, HU, IE, IT, LT, LV, NL, NO, PT, RS, SI, SK, UK
Résumé des résultats (Abstract)
(Anglais)
For sustainable forest management over large areas and for simulating different forest functions especially under changing conditions, different aspects of the system 'forest' must be modelled jointly: ecophysio-logical/biogeochemical processes, population dynamics, spatial interactions, and horizontal/vertical/ species stand structure. Several models exist which combine ecophysiology with population dynamics of species or plant functional types (dynamic global vegetation models, hybrid models of individual based and ecophysiological models). However, none of these models takes into account all those aspects together and works at the same time at an extent larger than a single stand. We developed a forest model (TreeM-LPJ) with a stand-size grain suitable to be applied on large areas for assessment of, e.g., climate change effects on forest functions. This has been achieved by merging the ecophysiological, individual based model LPJ-GUESS with the forest landscape model TreeMig, involving an upscaling of LPJ-GUESS variables and functions. A further focus will be on improving the modelling of a) disturbances and b) effects of drought on the trees. The resulting model will be calibrated and tested against data from the Swiss National Forest Inventory, data of tree responses to the 2003 drought, and C-flux- measurements.
Références bases de données
(Anglais)
Swiss Database: COST-DB of the State Secretariat for Education and Research Hallwylstrasse 4 CH-3003 Berne, Switzerland Tel. +41 31 322 74 82 Swiss Project-Number: C07.0123