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Using FORDRY model to forecast transformation of Norway spruce (Picea abies (L.) Karst.) stands in Nadsyansky Regional Landscape Park (Ukrainian Carpathians)

Folia Forestalia Polonica
Volume 63 (2021): Issue 3 (September 2021)
By:
Open Access
|Sep 2021

Figures & Tables

Figure 1

Three-dimensional visualisation of Norway spruce stands occurring on the sample plots at the beginning of simulation (A, B and C –plot nos. 1, 2 and 3, respectively)
Three-dimensional visualisation of Norway spruce stands occurring on the sample plots at the beginning of simulation (A, B and C –plot nos. 1, 2 and 3, respectively)

Figure 2

Three-dimensional views of the sample plotsat the 10th year of simulation time(A, B and C – plot nos. 1, 2 and 3, respectively)
Three-dimensional views of the sample plotsat the 10th year of simulation time(A, B and C – plot nos. 1, 2 and 3, respectively)

Figure 3

Temporal changes in the share of biomass (left panel) and the number of trees (right panel) in control (A, B) and in the first (C, D) and fourth (E, F) scenarios for plot 2
Temporal changes in the share of biomass (left panel) and the number of trees (right panel) in control (A, B) and in the first (C, D) and fourth (E, F) scenarios for plot 2

Figure 4

Prediction of biomass (left panel) and number of trees (right panel) in control (A, B), in the first (C, D) and fourth (E, F) scenarios for plot 2
Prediction of biomass (left panel) and number of trees (right panel) in control (A, B), in the first (C, D) and fourth (E, F) scenarios for plot 2

Figure 5

Number of dead trees in the simulations conducted for plot 2 (A – control, B – first scenario, C – third scenario, D – fourth scenario)
Number of dead trees in the simulations conducted for plot 2 (A – control, B – first scenario, C – third scenario, D – fourth scenario)

Figure 6

Auto-correlation of biomass in control conditions for spruce (A), beech (B), fir (C) and sycamore (D) (τ – Kendall coefficient)
Auto-correlation of biomass in control conditions for spruce (A), beech (B), fir (C) and sycamore (D) (τ – Kendall coefficient)

Figure 7

Cross-correlations in the control scenario: between spruce and beech biomass (A), between spruce and fir biomass (B), between spruce and total stand biomass (C), between spruce tree number and total stand density (D) (τ – Kendall coefficient)
Cross-correlations in the control scenario: between spruce and beech biomass (A), between spruce and fir biomass (B), between spruce and total stand biomass (C), between spruce tree number and total stand density (D) (τ – Kendall coefficient)

Basic characteristics of spruce trees occurring on study plots

PlotDBH1.3 [cm]H [m]Mean age [years]n
meanmin.max.meanmin.max.
120.38.032.019.25.524.54335
222.410.533.519.46.524.04634
325.913.536.521.87.025.05125

Stand biomass by tree species for different scenarios in the 50th year of simulation

SpeciesScenario
control1234
Plot 1
Fagus sylvatica101.3 ± 5.660.9 ± 3.798.5 ± 4.1109.6 ± 6.1188.8 ± 6.9
Abies alba23.8 ± 2.710.4 ± 1.125.8 ± 2.926.8 ± 3.151.3 ± 0.9
Picea abies0.3 ± 0.10.2 ± 0.10.2 ± 0.10.2 ± 0.10.3 ± 0.1
Plot 2
Fagus sylvatica103.9 ± 3.461.6 ± 1.190,1 ± 4.1105.2 ± 1.8199.9 ± 6.7
Abies alba26.4 ± 0.411.2 ± 0.229.5 ± 0.126.9 ± 0.450.4 ± 1.6
Picea abies0.3 ± 0.10.2 ± 0.10.2 ± 0.10.2 ± 0.10.3 ± 0.1
Plot 3
Fagus sylvatica108.0 ± 4.662.5 ± 3.499.6 ± 6.1110.6 ± 6.1196.4 ± 6.3
Abies alba25.8 ± 2.712.4 ± 0.927.6 ± 3.226.8 ± 3.152.7 ± 1.2
Picea abies0.2 ± 0.10.2 ± 0.10.2 ± 0.10.2 ± 0.10.2 ± 0.1
DOI: https://doi.org/10.2478/ffp-2021-0019 | Journal eISSN: 2199-5907 | Journal ISSN: 0071-6677
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Language: English
Page range: 183 - 194
Submitted on: Nov 25, 2020
Accepted on: Apr 27, 2021
Published on: Sep 19, 2021
Published by: Forest Research Institute
In partnership with: Paradigm Publishing Services
Publication frequency: 4 times per year
Keywords:
spruce forest decline,
tree biomass,
tree number,
species composition,
prediction,
simulation experiment,
gap model
Related subjects:
Life sciences,
Plant science,
Medicine,
Veterinary medicine

© 2021 Ihor Kozak, Taras Parpan, Yuriy Shparyk, Myroslava Mylenka, Iryna Kozak-Balaniuk, published by Forest Research Institute
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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