Mixed-effects height–diameter models for black pine (Pinus nigra Arn.) forest management

DI Raptis, V Kazana, A Kazaklis, C Stamatiou - Trees, 2021 - Springer
Key message Height–diameter models were developed specifically for Pinus nigra Arn., an
important commercially species extending in the Mediterranean and central Europe region …

A generalized nonlinear mixed-effects height–diameter model for Norway spruce in mixed-uneven aged stands

A Ciceu, J Garcia-Duro, I Seceleanu… - Forest Ecology and …, 2020 - Elsevier
Tree height measurements are laborious and require more time and effort compared to tree
diameter measurements. That being the case, height-diameter (HD) models are usually …

Artificial neural networks as an alternative method to nonlinear mixed-effects models for tree height predictions

M Skudnik, J Jevšenak - Forest Ecology and Management, 2022 - Elsevier
Tree heights are one of the most important aspects of forest mensuration, but data are often
unavailable due to costly and time-consuming field measurements. Therefore, various types …

Artificial intelligence procedures for tree taper estimation within a complex vegetation mosaic in Brazil

MH Nunes, EB Görgens - PloS one, 2016 - journals.plos.org
Tree stem form in native tropical forests is very irregular, posing a challenge to establishing
taper equations that can accurately predict the diameter at any height along the stem and …

Estimating height-diameter relations for structure groups in the natural forests of Northeastern China

K Cui, X Wu, C Zhang, X Zhao, K von Gadow - Forest Ecology and …, 2022 - Elsevier
Tree height-diameter (HD) models are essential for estimating tree volume and forest
production. The development of such models can be especially challenging in multi-species …

Individual Tree Basal Area Increment Models for Brazilian Pine (Araucaria angustifolia) Using Artificial Neural Networks

LO Barbosa, EA Costa, CT Schons, CAG Finger… - Forests, 2022 - mdpi.com
This research aimed to develop statistical models to predict basal area increment (BAI) for
Araucaria angustifolia using Artificial Neural Networks (ANNs). Tree species were measured …

Evaluation of the mixed-effects model and quantile regression approaches for predicting tree height in larch (Larix olgensis) plantations in northeastern China

L Xie, FRA Widagdo, Z Miao, L Dong… - Canadian Journal of …, 2022 - cdnsciencepub.com
Tree height (H) is one of the most important tree variables and is widely used in growth and
yield models, and its measurement is often time-consuming and costly. Hence, height …

A Levenberg–Marquardt backpropagation neural network for predicting forest growing stock based on the least-squares equation fitting parameters

R Zhou, D Wu, L Fang, A Xu, X Lou - Forests, 2018 - mdpi.com
Traditional field surveys are expensive, time-consuming, laborious, and difficult to perform,
especially in mountainous and dense forests, which imposes a burden on forest …

Comparison of Modeling Approaches for the Height–diameter Relationship: An Example with Planted Mongolian Pine (Pinus sylvestris var. mongolica) Trees in …

F Lin, L Xie, Y Hao, Z Miao, L Dong - Forests, 2022 - mdpi.com
In the process of modeling height–diameter models for Mongolian pine (Pinus sylvestris var.
mongolica), the fitting abilities of six models were compared:(1) a basic model with only …

Modeling height–diameter relationship for Populus euphratica in the Tarim riparian forest ecosystem, Northwest China

T Aishan, Ü Halik, F Betz, P Gärtner… - Journal of Forestry …, 2016 - Springer
Modeling height–diameter relationships is an important component in estimating and
predicting forest development under different forest management scenarios. In this paper …