Tree mortality submodels drive simulated long‐term forest dynamics: assessing 15 models from the stand to global scale

0510370 - BÚ 2020 RIV US eng J - Journal Article
Bugmann, H. - Seidl, R. - Hartig, F. - Bohn, F. - Brůna, Josef - Cailleret, M. - Francois, L. - Heinke, J. - Henrot, A.-J. - Hickler, T. - Hülsmann, L. - Huth, A. - Jacquemin, I. - Kollas, C. - Lasch-Born, P. - Lexer, M. J. - Merganič, J. - Merganičová, K. - Mette, T. - Miranda, B. R. - Nadal-Sala, D. - Rammer, W. - Rammig, A. - Reineking, B. - Roedig, E. - Sabaté, S. - Steinkamp, J. - Suckow, F. - Vacchiano, G. - Wild, Jan - Xu, C. - Reyer, C. P. O.
Tree mortality submodels drive simulated long‐term forest dynamics: assessing 15 models from the stand to global scale.
Ecosphere. Roč. 10, č. 2 (2019), s. 1-22, č. článku e02616. ISSN 2150-8925. E-ISSN 2150-8925
R&D Projects: GA MŠMT LD15158
EU Projects: European Commission(XE) COST Action FP1304
Institutional support: RVO:67985939
Keywords : forest dynamics * model comparison * mortality modeling
OECD category: Ecology
Impact factor: 2.878, year: 2019
Method of publishing: Open access

Our study highlights that comparing several alternative mortality formulations in 15 dynamic vegetation models provides valuable insights into the effects of process uncertainties on simulated future forest dynamics.
Permanent Link: http://hdl.handle.net/11104/0304507