Effects of competition, age and climate on tree slenderness of Chinese fir plantations in southern China
X Zhang, H Wang, S Chhin, J Zhang - Forest Ecology and Management, 2020 - Elsevier
Tree slenderness coefficient (TSC) is an important measure of tree stability. Generally, trees
with higher TSC values are prone to snow, icing, and wind damage than trees with smaller …
with higher TSC values are prone to snow, icing, and wind damage than trees with smaller …
Modelling crown width–diameter relationship for Scots pine in the central Europe
RP Sharma, L Bílek, Z Vacek, S Vacek - Trees, 2017 - Springer
Key message Crown width–diameter relationship, which is significantly influenced by
various characteristics, was modelled using tree and stand measures, and plot-level random …
various characteristics, was modelled using tree and stand measures, and plot-level random …
Modeling response of tree slenderness to climate, soil, diversity, and competition in natural secondary forests
J Wang, Y Wang, D Tian, W Wang, L Jiang - Forest Ecology and …, 2023 - Elsevier
The tree slenderness coefficient (TSC) serves as a simplified measure of tree stability, which
is subject to the complex influences of climate, soil, diversity, and competition. Quantifying …
is subject to the complex influences of climate, soil, diversity, and competition. Quantifying …
Modelling individual tree height–diameter relationships for multi-layered and multi-species forests in central Europe
RP Sharma, Z Vacek, S Vacek, M Kučera - Trees, 2019 - Springer
Key message The proposed height–diameter model applicable to many tree species in the
multi-layered and mixed stands across Czech Republic shows a high accuracy in the height …
multi-layered and mixed stands across Czech Republic shows a high accuracy in the height …
Variable selection for estimating individual tree height using genetic algorithm and random forest
Tree height is an important trait in forest science and is highly associated with the site quality
from which the trees are measured. However, other factors, such as competition and species …
from which the trees are measured. However, other factors, such as competition and species …
Scots pine (Pinus sylvestris L.), the suitable pioneer species for afforestation of reclamation sites?
As a result of human population growth and human need for resources, the landscape has
been increasingly transformed and devastated by mining activities. Subsequent …
been increasingly transformed and devastated by mining activities. Subsequent …
A nonlinear mixed-effects height-to-diameter ratio model for several tree species based on Czech national forest inventory data
RP Sharma, Z Vacek, S Vacek, M Kučera - Forests, 2019 - mdpi.com
Height-to-diameter at breast height (DBH) ratio (HDR) is an important tree and stand stability
measure. Several factors such as stand dynamics, natural and anthropogenic disturbances …
measure. Several factors such as stand dynamics, natural and anthropogenic disturbances …
The influence of climate, soil physicochemical properties and tree size inequality on tree slenderness in mixed forests of Northeastern China
D Tian, L Jiang, J Wang - Forest Ecology and Management, 2023 - Elsevier
The tree slenderness coefficient (TSC) reflects tree stability and plays an important role in
the development of near-natural silviculture programs and forest management decisions …
the development of near-natural silviculture programs and forest management decisions …
Determination of pith location along Norway spruce timber boards using one dimensional convolutional neural networks trained on virtual timber boards
Abstract Knowledge of pith location is needed for modelling of sawn timber and for real time
assessment of wood material in the wood working industry. However, the methods that are …
assessment of wood material in the wood working industry. However, the methods that are …
A novel approach to selecting a competition index: the effect of competition on individual-tree diameter growth of Calabrian pine
In this study, we evaluated the performance of 18 competition indices composed of nine
distance-dependent and nine distance-independent indices in explaining the variation in …
distance-dependent and nine distance-independent indices in explaining the variation in …