Modeling Tree Species Count Data in the Understory and Canopy Layer of Two Mixed Old-Growth Forests in the Dinaric Region

Srdan Keren


The distribution of tree species has traditionally been analyzed based on tree diameter (DBH) as a continuous variable. However, this approach does not usually provide information on how species are distributed across the area of interest. In this study, an inverse approach was applied to investigate tree distribution patterns in two Dinaric old-growth forest stands composed primarily of European beech, silver fir, and Norway spruce. Specifically, the variance-to-mean relationship of tree counts based on 80 plots (40 in each old-growth stand) were evaluated by using a dispersion index. Understory trees exhibited clumped and random patterns, whereas canopy trees were mostly distributed in a random manner. A regular pattern was only determined for beech and all trees in the canopy layer (two cases out of ten). The observed discrete variables were further compared with three theoretical distributions. It was found that a Poisson, binomial, and negative binomial model best fitted the observed count data, which, based on the dispersion index, exhibited a random, regular, and clumped pattern, respectively. The frequency of plots with low species presence and complete absence of species was also revealed. Consequently, the analysis and modeling of tree counts can be of practical use for species conservation purposes.
Author Srdan Keren (FoF / Department of Forest Resource Management)
Srdan Keren,,
- Department of Forest Resource Management
Journal seriesForests, ISSN 1999-4907, (N/A 100 pkt)
Issue year2020
Publication size in sheets0.5
Article number531
Keywords in Englishold-growth; quadrat counts; tree diameters; tree distribution patterns; species count data; mixed forests
ASJC Classification1107 Forestry
Languageen angielski
LicenseJournal (articles only); published final; Uznanie Autorstwa (CC-BY); after publication
Modeling Tree Species Count Data in the Understory and Canopy Layer of Two Mixed Old-Growth Forests in the Dinaric Region of 12-05-2020
1,95 MB
Score (nominal)100
Score sourcejournalList
Publication indicators WoS Citations = 0; Scopus SNIP (Source Normalised Impact per Paper): 2018 = 0.943; WoS Impact Factor: 2018 = 2.116 (2) - 2018=2.453 (5)
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FinansowanieThe research was supported by the project Innovative forest MAnagEment STrategies for a Resilient biOeconomy under climate change and disturbances (I-MAESTRO) under the umbrella of ForestValue ERA-NET Cofund, among others by the National Science Centre in Poland (NCN). ForestValue has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement Nr 773324. The APC was funded by the Ministry of Science and Higher Education of the Republic of Poland for the University of Agriculture in Krakow for 2020.
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* presented citation count is obtained through Internet information analysis and it is close to the number calculated by the Publish or Perish system.
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