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 - Článek v odborném periodiku
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
Grant CEP: GA MŠMT LD15158
GRANT EU: European Commission(XE) COST Action FP1304
Institucionální podpora: RVO:67985939
Klíčová slova: forest dynamics * model comparison * mortality modeling
Obor OECD: Ecology
Impakt faktor: 2.878, rok: 2019
Způsob publikování: 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.
Trvalý link: http://hdl.handle.net/11104/0304507