Journal of Ecology, January 2013, Vol.101(1), pp.220-230
Partitioning of tree mortality into different modes of death allows the tracing and mechanistic modelling of individual key processes of forest dynamics each varying depending on site, species and individual risk factors. This, in turn, may improve long‐term predictions of the development of old‐growth forests. Six different individual tree mortality modes (uprooted and snapped (both with or without rot as a predisposing factor), standing dead and crushed by other trees) were analysed, and statistical models were derived for three tree species (European beech Fagus sylvatica, hornbeam Carpinus betulus and common ash Fraxinus excelsior) based on a repeated inventory of more than 13 000 trees in a 28 ha near‐natural deciduous forest in Central Germany. The frequently described U‐shaped curve of size‐dependent mortality was observed in beech and hornbeam (but not ash) and could be explained by the joint operation of processes related to the six distinct mortality modes. The results for beech, the most abundant species, suggest that each mortality mode is prevalent in different life‐history stages: small trees died mostly standing or being crushed, medium‐sized trees had the highest chance of survival, and very large trees experienced increased rates of mortality, mainly by uprooting or snapping. Reduced growth as a predictor also played a role but only for standing dead, all other mortality modes showed no relationship to tree growth. Synthesis. Tree mortality can be partitioned into distinct processes, and species tend to differ in their susceptibility to one or more of them. This forms a fundamental basis for the understanding of forest dynamics in natural forests, and any mechanistic modelling of mortality in vegetation models could be improved by correctly addressing and formulating the various mortality processes. Modelled annual mortality logits and probabilities over d.b.h. (cm) for beech. Median estimates and 95% credible interval. Tree mortality can be partitioned into different processes related to six distinct mortality modes, jointly explaining the emergent ‐shaped curve of size‐dependent mortality. This forms a fundamental basis for the understanding of forest dynamics in natural forests and may improve mechanistic modelling thereof.
Beech ; Demographic Trait ; Growth Estimation ; Growth‐Related Mortality ; Longevity ; Mortality Mode ; Mortality Model ; Plant Population And Community Dynamics ; Size‐Related Mortality
John Wiley & Sons, Inc.