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1 August 2009 Estimating Tree Survival: A Study Based on the Estonian Forest Research Plots Network
Allan Sims, Andres Kiviste, Maris Hordo, Diana Laarmann, Klaus von Gadow
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Abstract

Tree survival, as affected by tree and stand variables, was studied using the Estonian database of permanent forest research plots. The tree survival was examined on the basis of remeasurements during the period 1995–2004, covering the most common forest types and all age groups. In this study, the influence of 35 tree and stand variables on tree survival probability was analyzed using the data of 31 097 trees from 236 research plots. For estimating individual tree survival probability, a logistic model using the logit-transformation was applied. Tree relative height had the greatest effect on tree survival. However, different factors were included into the logistic model for different development stages: tree relative height, tree relative diameter, relative basal area of larger trees and relative sparsity of a stand for young stands; tree relative height, relative basal area of larger trees and stand density for middle-aged and maturing stands; and tree relative height and stand density for mature and overmature stands. The models can be used as preliminary sub-components for elaboration of a new individual tree based growth simulator.

© Finnish Zoological and Botanical Publishing Board 2009
Allan Sims, Andres Kiviste, Maris Hordo, Diana Laarmann, and Klaus von Gadow "Estimating Tree Survival: A Study Based on the Estonian Forest Research Plots Network," Annales Botanici Fennici 46(4), 336-352, (1 August 2009). https://doi.org/10.5735/085.046.0409
Received: 1 September 2008; Accepted: 1 February 2009; Published: 1 August 2009
JOURNAL ARTICLE
17 PAGES


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KEYWORDS
forest growth
generalized linear mixed model
logistic regression
mortality
survival probability
tree and stand variables
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