Agree to disagree

Published

In one of my previous posts in this blog I have talked about research into human tree selection behaviour. Since the previous post was published we have learned new things, which highlighted how complex and fascinating this research is. Experience is for example a term that often comes up in the context of human resources.… Continue reading Agree to disagree

Spatial species mingling

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[latex]M_i^{(k)} = \frac{1}{k}\sum_{j = 1}^k \textbf{1}(species_i \ne species_j)[/latex] j denotes the jth nearest neighbour of plant i. The expression 1(A) = 1, if condition A is true, otherwise 1(A) = 0. In principle, k can take any number and can also vary between plants of the same population or research plot.  However, for convenience k… Continue reading Spatial species mingling

Basal area in larger trees and the growth compensation point

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[latex]{\LARGE BAL_i(t) = G(t) \cdot (1 – p_i(t))}[/latex] with [latex]{\LARGE p_i(t) = \frac{1}{G(t)} \sum\limits_{\leq g_i(t)} g_i(t)}[/latex] What does it mean? The formula quantifies the sum of the basal areas of all trees that are larger or equal in basal area compared to that of a given tree i at time t. It is the complement value… Continue reading Basal area in larger trees and the growth compensation point

The Chapman-Richards growth function

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[latex]{\LARGE y(t) =y_\text{max} [1 – e^{-kt}]^p}[/latex]   What does it mean? Growth functions in general describe the change in size of an individual or population with time (Burkhart and Tomé, 2012). Assume that [latex]y(t)[/latex] is a tree growth variable, e.g. tree total height or tree volume, and  [latex]y_\text{max}[/latex] is the maximum value this growth variable can… Continue reading The Chapman-Richards growth function