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1. Modeling ingrowth for empirical forest prediction systems

Author:
Jürgen Zell; Brigitte Rohner; Esther Thürig; Golo Stadelmann
Source:
Forest ecology and management 2019 v.433 pp. 771-779
ISSN:
0378-1127
Subject:
shade tolerance; national forests; trees; Picea; forests; Fagus; forestry development; site index; models; stand density; water holding capacity; temperature; climatic factors; Poisson distribution; prediction; probability; nitrogen; regression analysis; binomial distribution; forest inventory; Weibull statistics; stand basal area
Abstract:
... Accurate and representative prediction of ingrowth is essential for modeling forest development. Besides the number of ingrowth trees, the basic tree attributes diameter and species are also important. In this study, these three characteristics were modeled based on data from the Swiss National Forest Inventory (NFI). The study covered large gradients of stand conditions and climate variables, mak ...
DOI:
10.1016/j.foreco.2018.11.052