Next Article in Journal
Determining the Distribution and Interaction of Soil Organic Carbon, Nitrogen, pH and Texture in Soil Profiles: A Case Study in the Lancangjiang River Basin, Southwest China
Next Article in Special Issue
Coastal Pine-Oak Glacial Refugia in the Mediterranean Basin: A Biogeographic Approach Based on Charcoal Analysis and Spatial Modelling
Previous Article in Journal
Using Satellite Imagery to Evaluate Bark Beetle-Caused Tree Mortality Reported in Aerial Surveys in a Mixed Conifer Forest in Northern Idaho, USA
Previous Article in Special Issue
Impact of Climate Change on the Distribution of Euscaphis japonica (Staphyleaceae) Trees
Open AccessArticle

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

Faculty of Forestry, University of Agriculture in Krakow, Aleja 29 Listopada 46, 31-425 Krakow, Poland
Forests 2020, 11(5), 531; https://doi.org/10.3390/f11050531
Received: 9 April 2020 / Revised: 4 May 2020 / Accepted: 8 May 2020 / Published: 9 May 2020
(This article belongs to the Special Issue Modeling of Species Distribution and Biodiversity in Forests)
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. View Full-Text
Keywords: old-growth; quadrat counts; tree diameters; tree distribution patterns; species count data; mixed forests old-growth; quadrat counts; tree diameters; tree distribution patterns; species count data; mixed forests
Show Figures

Figure 1

MDPI and ACS Style

Keren, S. Modeling Tree Species Count Data in the Understory and Canopy Layer of Two Mixed Old-Growth Forests in the Dinaric Region. Forests 2020, 11, 531. https://doi.org/10.3390/f11050531

AMA Style

Keren S. Modeling Tree Species Count Data in the Understory and Canopy Layer of Two Mixed Old-Growth Forests in the Dinaric Region. Forests. 2020; 11(5):531. https://doi.org/10.3390/f11050531

Chicago/Turabian Style

Keren, Srđan. 2020. "Modeling Tree Species Count Data in the Understory and Canopy Layer of Two Mixed Old-Growth Forests in the Dinaric Region" Forests 11, no. 5: 531. https://doi.org/10.3390/f11050531

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop