Trunk‐Top Relations in a Siberian Pine Forest

Gavrikov, Vladimir L.; Grabarnik, Pavel; Stoyan, Dietrich

doi:10.1002/bimj.4710350412

Cited by 29 publications

(23 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Crown plasticity thus allows for more efficient use of growing space. This process has also been observed by Ishizuka (1984), Gavrikov et al (1993), andLonguetaud et al (2008). More effective exploitation of growing space due to crown plasticity was also shown by a comparison between measured crown projections and simulated circular areas.…”

Section: Spatial Patterns and Canopy Coversupporting

confidence: 78%

See 1 more Smart Citation

Crown plasticity and neighborhood interactions of European beech (Fagus sylvatica L.) in an old-growth forest

Schröter

Oheimb

2011

Eur J Forest Res

View full text Add to dashboard Cite

Competition for canopy space is a process of major importance in forest dynamics. Although virgin and old-growth European beech (Fagus sylvatica L.) forests in Europe have been studied for many years, there are to date no studies of individual-tree crown plasticity and the way this is influenced by local neighborhood interactions in these forests. In this study, we analyzed crown plasticity and local neighborhood interactions of individual trees in the upper canopy of the old-growth beech forests of Serrahn, northeast Germany. In a 2.8-ha sample plot, we measured crown radii of all upper canopy trees and analyzed the direction and extent of crown asymmetry. Size, relative position, and distance of neighboring trees were used to construct vectors of neighborhood asymmetry within different distances from target trees. The crowns of beech trees showed strong morphological plasticity. Mean absolute and relative displacement of crown centers from the stem base were 1.95 m and 0.37, respectively. Circular-circular rank correlation coefficients between the direction of crown displacement and the direction of neighborhood pressure showed that trees strongly positioned their crowns away from local neighbors. Highest correlation coefficients were obtained when basal area and relative position of neighboring trees within a radial distance of 12 m were considered. Clark and Evans index and Ripley's K-function showed that crowns were more regularly distributed than stems. Projected canopy cover was about 10% higher than canopy cover with simulated circular crowns. We conclude that the crowns of older beech trees have a high ability to plastically respond to changes in the local canopy conditions, enabling very effective exploitation of canopy space.

show abstract

Section: Spatial Patterns and Canopy Coversupporting

confidence: 78%

“…An increasing regularity over time has been observed in other forest stands (Gavrikov et al 1993;Oliver and Larson 1996;Longuetaud et al 2008). We also found that crowns were more regularly distributed than stems as a result of the high crown plasticity.…”

Section: Spatial Patterns and Canopy Covermentioning

confidence: 65%

Crown plasticity and neighborhood interactions of European beech (Fagus sylvatica L.) in an old-growth forest

Schröter

Oheimb

2011

Eur J Forest Res

View full text Add to dashboard Cite

show abstract

“…The advantage of the spectral approach is that it not only highlights this structure, but that it also provides an associated significance probability. Stoyan and Stoyan (1996) provide a compelling space-domain analysis of these data based on the clear premise that in this forest trees appear in clusters, in common with other natural pine stands (Gavrikov, Grabarnik, and Stoyan, 1993;Penttinen, Stoyan, and Henttonen, 1992). First, they note that attempts to fit a NeymanScott cluster process were not particularly successful.…”

Section: :1 Spectral Point Analysismentioning

confidence: 99%

Two-Dimensional Spectral Analysis for Marked Point Processes

Renshaw

2002

Biom. J.

View full text Add to dashboard Cite

“…Therefore other tree species can be neglected. In this forest the trees appear in clusters, as also in other natural pine stands, see GAVRIKOV, GRABARNIK, and STOYAN (1993), and PENTTINW, STOYAN, and HENITONEN (1992). Accordingly, Cressie (1991) tried to fit a Neyman-Scott cluster process to the longleaf-pine data.…”

Section: A Case Study: Longleaf-pine Datamentioning

confidence: 94%

Estimating Pair Correlation Functions of Planar Cluster Processes

Stoyan

1996

Biometrical J

100

View full text Add to dashboard Cite

The pair correlation function g(r) is an important tool in exploratory data analysis and model choice in point process statistics. In the case of cluster processes, the behaviour of g(r) for small r is particularly interesting. But just these values of g(r) can be estimated with difficulties only. This paper tries to show that kernel estimators yield reliable results. It is useful to work with variable band widths. An example where the points are positions of pines in a forest illustrates the application of the method.

show abstract

Trunk‐Top Relations in a Siberian Pine Forest

Cited by 29 publications

References 4 publications

Crown plasticity and neighborhood interactions of European beech (Fagus sylvatica L.) in an old-growth forest

Crown plasticity and neighborhood interactions of European beech (Fagus sylvatica L.) in an old-growth forest

Two-Dimensional Spectral Analysis for Marked Point Processes

Estimating Pair Correlation Functions of Planar Cluster Processes

Contact Info

Product

Resources

About