2018
DOI: 10.3390/f9050230
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Seed Dispersal, Microsites or Competition—What Drives Gap Regeneration in an Old-Growth Forest? An Application of Spatial Point Process Modelling

Abstract: The spatial structure of trees is a template for forest dynamics and the outcome of a variety of processes in ecosystems. Identifying the contribution and magnitude of the different drivers is an age-old task in plant ecology. Recently, the modelling of a spatial point process was used to identify factors driving the spatial distribution of trees at stand scales. Processes driving the coexistence of trees, however, frequently unfold within gaps and questions on the role of resource heterogeneity within-gaps ha… Show more

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Cited by 10 publications
(12 citation statements)
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“…The percentages of variance explained by the PRCs appear to be rather low. It is thus evident that, despite considerable population densities of ungulates, other factors than browsing distinctly drove the dynamics of the largest individuals per species (and plot) in our study such as responses to (micro-)sites and light conditions, intra-and interspecific competition and pathogens 29,35,[85][86][87][88] . We attribute this to the following causes: (1) In the montane forests of the study region, the natural species composition has a high ratio of Norway spruce 49 , and the ratio has been further increased by forestry since the mid of the nineteenth century 94,95 .…”
Section: Constrainedmentioning
confidence: 75%
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“…The percentages of variance explained by the PRCs appear to be rather low. It is thus evident that, despite considerable population densities of ungulates, other factors than browsing distinctly drove the dynamics of the largest individuals per species (and plot) in our study such as responses to (micro-)sites and light conditions, intra-and interspecific competition and pathogens 29,35,[85][86][87][88] . We attribute this to the following causes: (1) In the montane forests of the study region, the natural species composition has a high ratio of Norway spruce 49 , and the ratio has been further increased by forestry since the mid of the nineteenth century 94,95 .…”
Section: Constrainedmentioning
confidence: 75%
“…diversity indices; see [82][83][84] ). As regeneration dynamics and survivorship of tree species unfold as a result of neighbourhood processes of individuals and their species-specific life-history traits in connection with environmental filters 29,35,[85][86][87][88] , a synchronous analysis of both the entire regenerating tree community and all tree species (vs. subjectively focusing on certain species only) seems to be essential. However, many standard statistical approaches like GL(M)Ms are not applicable in case of largely multiple response variables.…”
Section: Constrainedmentioning
confidence: 99%
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“…The diversity of habitat types is usually strongly associated with the spatial scale, making niche-based and stochastic effects difficult to disentangle (Chase and Myers 2011). Therefore, environmental filtering can be easier to detect in strongly heterogeneous landscapes, where the environmental factors vary strongly along relatively short distances, which are within the dispersal ranges of the local tree species (Gratzer and Waagepetersen 2018). Mountain ranges are good places to conduct such analysis.…”
Section: Introductionmentioning
confidence: 99%
“…It seems likely that the survival of areas able to function as refuges and the patchy nature of the disturbance impact have been essential in allowing rapid recolonization at Aneboda by the previously dominant tree species, P. abies. The growth of spruce seedlings is also strongly facilitated by dead wood (Gratzer & Waagepetersen, 2018), while postdisturbance clearance of this dead organic matter can result in the emergence of a birch-dominated pioneer woodland instead (Fischer, Lindner, Abs, & Lasch, 2002). Spruce seedlings are shallow-rooted and relatively slow-growing, making them poor competitors against ground vegetation postdisturbance unless there is coarse woody debris available to provide a seedbed (Jonášová & Prach, 2004;Rozman et al, 2015).…”
Section: Discussionmentioning
confidence: 99%