Article (Scientific journals)
Refining species traits in a dynamic vegetation model to project the impacts of climate change on tropical trees in Central Africa
Dury, Marie; Mertens, L.; Fayolle, Adeline et al.
2018In Forests, 9 (11)
Peer Reviewed verified by ORBi
 

Files


Full Text
2018_Dury et al_Forests_Refining species traits in a DGVM.pdf
Publisher postprint (4.97 MB)
Download

All documents in ORBi are protected by a user license.

Send to



Details



Keywords :
Climate change; Dynamic vegetation model; Ecosystem services; Traits; Tree species; Tropical Africa; Biomass; Carbon dioxide; Climate models; Ecosystems; Forestry; Land use; Physiological models; Population distribution; Tropics; Vegetation; Africa; Central Africa
Abstract :
[en] African tropical ecosystems and the services they provide to human society suffer from an increasing combined pressure of land use and climate change. How individual tropical tree species respond to climate change remains relatively unknown. In this study, we refined the species characterization in the CARAIB (CARbon Assimilation In the Biosphere) dynamic vegetation model by replacing plant functional type morpho-physiological traits by species-specific traits. We focus on 12 tropical tree species selected for their importance in both the plant community and human society. We used CARAIB to simulate the current species net primary productivity (NPP), biomass and potential distribution and their changes in the future. Our results indicate that the use of species-specific traits does not necessarily result in an increase of predicted current NPPs. The model projections for the end of the century highlight the large uncertainties in the future of African tropical species. Projected changes in species distribution vary greatly with the general circulation model (GCM) and, to a lesser extent, with the concentration pathway. The question about long-term plant response to increasing CO2 concentrations also leads to contrasting results. In absence of fertilization effect, species are exposed to climate change and might lose 25% of their current distribution under RCP8.5 (12.5% under RCP4.5), considering all the species and climatic scenarios. The vegetation model projects a mean biomass loss of -21.2% under RCP4.5 and -34.5% under RCP8.5. Potential range expansions, unpredictable due to migration limitations, are too limited for offsetting range contraction. By contrast, if the long-term species response to increasing [CO2] is positive, the range reduction is limited to 5%. However, despite a mean biomass increase of 12.2%, a positive CO2 feedback might not prevent tree dieback. Our analysis confirms that species will respond differently to new climatic and atmospheric conditions, which may induce new competition dynamics in the ecosystem and affect ecosystem services. © 2018 by the authors.
Disciplines :
Environmental sciences & ecology
Author, co-author :
Dury, Marie ;  Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > Exotic
Mertens, L.;  Modélisation du Climat et des Cycles Biogéochimiques, UR SPHERES, University of Liège, Quartier Agora, Bât. B5c, Allée du six Août 19c, Liège, 4000, Belgium, Biologie du Comportement, UR SPHERES, University of Liège, Quai Van Beneden 22, Liège, 4020, Belgium
Fayolle, Adeline  ;  Université de Liège - ULiège > Ingénierie des biosystèmes (Biose) > Gestion des ressources forestières et des milieux naturels
Verbeeck, H.;  Computational and Applied Vegetation Ecology (CAVElab), Ghent University, Coupure Links 653, Ghent, 9000, Belgium
Hambuckers, Alain  ;  Université de Liège - ULiège > Département de Biologie, Ecologie et Evolution > Biologie du comportement - Ethologie et psychologie animale
François, Louis  ;  Université de Liège - ULiège > Département d'astrophys., géophysique et océanographie (AGO) > Modélisation du climat et des cycles biogéochimiques
Language :
English
Title :
Refining species traits in a dynamic vegetation model to project the impacts of climate change on tropical trees in Central Africa
Publication date :
2018
Journal title :
Forests
ISSN :
1999-4907
Publisher :
MDPI AG
Volume :
9
Issue :
11
Peer reviewed :
Peer Reviewed verified by ORBi
Available on ORBi :
since 06 June 2019

Statistics


Number of views
90 (13 by ULiège)
Number of downloads
67 (5 by ULiège)

Scopus citations®
 
14
Scopus citations®
without self-citations
8
OpenCitations
 
6
OpenAlex citations
 
19

Bibliography


Similar publications



Contact ORBi