Application of artificial neural networks for predicting tree survival and mortality in the Hyrcanian forest of Iran
Tree survival and mortality play a critical role in forest ecosystems. Being able to predict the
survival probability provides significant insights into forest management decision support. In …
survival probability provides significant insights into forest management decision support. In …
[HTML][HTML] Analysis of plot-level volume increment models developed from machine learning methods applied to an uneven-aged mixed forest
Key message We modeled 10-year net stand volume growth with four machine learning
(ML) methods, ie, artificial neural networks (ANN), support vector machines (SVM), random …
(ML) methods, ie, artificial neural networks (ANN), support vector machines (SVM), random …
[HTML][HTML] A combination of biotic and abiotic factors and diversity determine productivity in natural deciduous forests
The relative importance of different biotic and abiotic variables for estimating forest
productivity remains unclear for many forest ecosystems around the world, and it is …
productivity remains unclear for many forest ecosystems around the world, and it is …
Ten-year estimation of Oriental beech (Fagus orientalis Lipsky) volume increment in natural forests: a comparison of an artificial neural networks model, multiple …
Determining forest volume increment, the potential of wood production in natural forests, is a
complex issue but is of fundamental importance to sustainable forest management …
complex issue but is of fundamental importance to sustainable forest management …
[HTML][HTML] Estimation of tree heights in an uneven-aged, mixed forest in northern Iran using artificial intelligence and empirical models
The diameters and heights of trees are two of the most important components in a forest
inventory. In some circumstances, the heights of trees need to be estimated due to the time …
inventory. In some circumstances, the heights of trees need to be estimated due to the time …
Development of individual tree growth and yield model across multiple contrasting species using nonparametric and parametric methods in the Hyrcanian forests of …
Abstract The Hyrcanian forests of Iran contain many species-rich communities that can only
be maintained through an understanding of the renewal and development of these forests …
be maintained through an understanding of the renewal and development of these forests …
[HTML][HTML] Assessing biotic and abiotic effects on biodiversity index using machine learning
Forest ecosystems play multiple important roles in meeting the habitat needs of different
organisms and providing a variety of services to humans. Biodiversity is one of the structural …
organisms and providing a variety of services to humans. Biodiversity is one of the structural …
Projected biodiversity in the Hyrcanian Mountain Forest of Iran: An investigation based on two climate scenarios
An important principle of forest management worldwide is the sustained conservancy of
regional biodiversity. The aim of this study was to investigate the effects of climate and …
regional biodiversity. The aim of this study was to investigate the effects of climate and …
[HTML][HTML] Importance of dead wood in virgin forest ecosystem functioning in Southern Carpathians
Dead wood (DW) is an important component of sustainable forest management and climate
change mitigation. Three research plots (each with an area of 1 ha), located in virgin forests …
change mitigation. Three research plots (each with an area of 1 ha), located in virgin forests …
[HTML][HTML] Machine learning for the estimation of diameter increment in mixed and uneven-aged forests
Estimating the diameter increment of forests is one of the most important relationships in
forest management and planning. The aim of this study was to provide insight into the …
forest management and planning. The aim of this study was to provide insight into the …