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Tackling unresolved questions in forest ecology: The past and future role of simulation models.

Authors :
Maréchaux, Isabelle
Langerwisch, Fanny
Huth, Andreas
Bugmann, Harald
Morin, Xavier
Reyer, Christopher P.O.
Seidl, Rupert
Collalti, Alessio
Dantas de Paula, Mateus
Fischer, Rico
Gutsch, Martin
Lexer, Manfred J.
Lischke, Heike
Rammig, Anja
Rödig, Edna
Sakschewski, Boris
Taubert, Franziska
Thonicke, Kirsten
Vacchiano, Giorgio
Bohn, Friedrich J.
Source :
Ecology & Evolution (20457758). May2021, Vol. 11 Issue 9, p3746-3770. 25p.
Publication Year :
2021

Abstract

Understanding the processes that shape forest functioning, structure, and diversity remains challenging, although data on forest systems are being collected at a rapid pace and across scales. Forest models have a long history in bridging data with ecological knowledge and can simulate forest dynamics over spatio‐temporal scales unreachable by most empirical investigations.We describe the development that different forest modelling communities have followed to underpin the leverage that simulation models offer for advancing our understanding of forest ecosystems.Using three widely applied but contrasting approaches – species distribution models, individual‐based forest models, and dynamic global vegetation models – as examples, we show how scientific and technical advances have led models to transgress their initial objectives and limitations. We provide an overview of recent model applications on current important ecological topics and pinpoint ten key questions that could, and should, be tackled with forest models in the next decade.Synthesis. This overview shows that forest models, due to their complementarity and mutual enrichment, represent an invaluable toolkit to address a wide range of fundamental and applied ecological questions, hence fostering a deeper understanding of forest dynamics in the context of global change. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20457758
Volume :
11
Issue :
9
Database :
Academic Search Index
Journal :
Ecology & Evolution (20457758)
Publication Type :
Academic Journal
Accession number :
150131356
Full Text :
https://doi.org/10.1002/ece3.7391