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Using dynamic vegetation models to simulate plant range shifts

Authors :
Björn Reineking
Natalie Zurbriggen
Heike Lischke
Marc Scherstjanoi
Dominique Gravel
Alvaro G. Gutiérrez
Harald Bugmann
Thomas Hickler
Steven I. Higgins
Julia E. M. S. Nabel
Rebecca S. Snell
Justin M. J. Travis
Andreas Huth
Greta Bocedi
ETHZ ZURICH CHE
Partenaires IRSTEA
Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)
UFZ HELMHOLTZ CENTRE FOR ENVIRONMENTAL RESEARCH LEIPZIG DEU
WSL BIRMENSDORF CHE
UNIVERSITY OF ABERDEEN GBR
UNIVERSITE DU QUEBEC RIMOUSKI CAN
UNIVERSIDAD AUSTRAL DE CHILE VALDIVIA CHL
BIK F BIODIVERSITY AND CLIMATE RESEARCH CENTRE FRANKFURT DEU
GOETHE UNIVERSITY FRANKFURT DEU
University of Otago [Dunedin, Nouvelle-Zélande]
Ecosystèmes montagnards (UR EMGR)
Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)
University of Bayreuth
Source :
Ecography, Ecography, Wiley, 2014, 37 (12), pp.1184-1197. ⟨10.1111/ecog.00580⟩, Ecography, 37 (12)
Publication Year :
2014

Abstract

Dynamic vegetation models (DVMs) follow a process‐based approach to simulate plant population demography, and have been used to address questions about disturbances, plant succession, community composition, and provisioning of ecosystem services under climate change scenarios. Despite their potential, they have seldom been used for studying species range dynamics explicitly. In this perspective paper, we make the case that DVMs should be used to this end and can improve our understanding of the factors that influence species range expansions and contractions. We review the benefits of using process‐based, dynamic models, emphasizing how DVMs can be applied specifically to questions about species range dynamics. Subsequently, we provide a critical evaluation of some of the limitations and trade‐offs associated with DVMs, and we use those to guide our discussions about future model development. This includes a discussion on which processes are lacking, specifically a mechanistic representation of dispersal, inclusion of the seedling stage, trait variability, and a dynamic representation of reproduction. We also discuss upscaling techniques that offer promising solutions for being able to run these models efficiently over large spatial extents. Our aim is to provide directions for future research efforts and to illustrate the value of the DVM approach. ISSN:0906-7590 ISSN:1600-0587

Details

ISSN :
09067590 and 16000587
Database :
OpenAIRE
Journal :
Ecography, Ecography, Wiley, 2014, 37 (12), pp.1184-1197. ⟨10.1111/ecog.00580⟩, Ecography, 37 (12)
Accession number :
edsair.doi.dedup.....60c768415f4228b20f831ec47d9cffd4
Full Text :
https://doi.org/10.1111/ecog.00580⟩