Mixed-effects generalized height-diameter model: A tool for forestry management of young sweet chestnut stands

Patrício, Maria do Sameiro; Dias, Cremildo Riba Gouveia; Nunes, Luís

doi:10.1016/j.foreco.2022.120209

Cited by 14 publications

(12 citation statements)

References 24 publications

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“…The data set contains the results of measurements of 3577 model trees on 201 sample plots. The research materials were field and archival data on the measurement of model trees on sample plots laid in the Kostroma, Vladimir, Tver, Moscow, Arkhangelsk, Samara, Nizhny Novgorod and Yaroslavl regions, the Republics of Bashkortostan [4], Komi [6], Mari El, Mordovia and Karelia. The data of measurement of model pine trees in the European part of Russia from the database of V.A.…”

Section: Methodsmentioning

confidence: 99%

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Height-Diameter fixed effects models for the pine in European Russia

Dubenok

Лебедев²,

Gostev³

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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The purpose of the study is to select and justify a regression model that will most accurately reflect the dependence of heights on the diameters at breast height of pine plantations in the European part of Russia. 28 height-diameter models were selected based on literary sources and tested for research. Näslund’s equation is justified as the best model for the relationship between height and diameter at chest height. It can be applied in practice when performing forestry and research work in pine forests of the European part of Russia.

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Section: Methodsmentioning

confidence: 99%

“…M.S. Patricio et al [4] report that the development of simple and accurate models to reliably determine the height of trees in a forest stand from diameter data is the main task of forest management. Knowing the diameter at breast height (DBH) and total tree height (h) is fundamental to developing models of forest growth and yield.…”

Section: Introductionmentioning

confidence: 99%

Height-Diameter fixed effects models for the pine in European Russia

Dubenok

Лебедев²,

Gostev³

et al. 2023

IOP Conf. Ser.: Earth Environ. Sci.

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show abstract

“…Two different types of predictions can be accomplished using the mixed-effects modeling approach [9,79]. The first is a fixed effect or marginal prediction, which offers predictions using only the fixed part of the model.…”

Section: Calibration and Random Effect Estimationmentioning

confidence: 99%

Mixed-Effects Height Prediction Model for Juniperus procera Trees from a Dry Afromontane Forest in Ethiopia

Teshome,

Braz,

Torres

et al. 2024

Forests

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Tree height is a crucial variable in forestry science. In the current study, an accurate height prediction model for Juniperus procera Hochst. ex Endl. trees were developed, using a nonlinear mixed-effects modeling approach on 1215 observations from 101 randomly established plots in the Chilimo Dry Afromontane Forest in Ethiopia. After comparing 14 nonlinear models, the most appropriate base model was selected and expanded as a mixed-effects model, using the sample plot as a grouping factor, and adding stand-level variables to increase the model’s prediction ability. Using a completely independent dataset of observations, the best sampling alternative for calibration was determined using goodness-of-fit criteria. Our findings revealed that the Michaelis–Menten model outperformed the other models, while the expansion to the mixed-effects model significantly improved the height prediction. On the other hand, incorporating the quadratic mean diameter and the stem density slightly improved the model’s prediction ability. The fixed-effects of the selected model can also be used to predict the mean height of Juniperus procera trees as a marginal solution. The calibration response revealed that a systematic selection of the three largest-diameter trees at the plot level is the most effective for random effect estimation across new plots or stands.

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“…DBH and TH are the most prominent stand parameters in forestry research. DBH is the measurement of tree diameter at 1.3 m above the ground line and is the most measured parameter of planted trees for many forestry studies (Spurr 1952;Philip 1994;Su et al, 2020;Patricio et al, 2022). During the field data collection, DBH measurements were conducted with conventional methods and on-site tree heights on the marked trees were measured using a Haglof Vertex Laser Range Finder.…”

Section: On-site Data: Dbh and Th Measurementsmentioning

confidence: 99%

Estimations of Forest Stand Parameters in Open Forest Stand Using Point Cloud Data from Terrestrial Laser Scanning, Unmanned Aerial Vehicle and Aerial LiDAR Data

Arslan

Inan

Çelik

et al. 2022

European Journal of Forest Engineering

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Two of the very basic forestry parameters, the Breast Height Diameter (DBH) and Tree Height (TH) are very effective when characterizing forest stands and individual trees. The traditional measurement process of these parameters takes a lot of time and consumes human power. However, because of the development of PC power and digital storage in recent years, 3D Point Cloud (PC) gains quickly provide a very detailed view of forestry parameters. PC data sources include Airborne LiDAR Systems (ALS), Terrestrial Laser Scanning (TLS) and finally, the Unmanned Air Vehicle (UAV) for forestry applications. In this study, the PC datasets from these sources were used to study the feasibility of the DBH and TH values of a D-stage oak stand. The DBH and TH estimates are compared with the onsite measurements, which are considered to be fundamental truths, to their performance due to overall error statistics, as well as the cost of calculation and the difficulties in data collection. The results show that the computer data obtained by TLS has the best average square error (0.22 cm for DBH and 0,051 m for TH) compared to other computer data. The size of Pearson correlation between TLS-based and on-site-based measurements has reached 0.97 and 0.99 for DBH, respectively.

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Mixed-effects generalized height-diameter model: A tool for forestry management of young sweet chestnut stands

Cited by 14 publications

References 24 publications

Height-Diameter fixed effects models for the pine in European Russia

Height-Diameter fixed effects models for the pine in European Russia

Mixed-Effects Height Prediction Model for Juniperus procera Trees from a Dry Afromontane Forest in Ethiopia

Estimations of Forest Stand Parameters in Open Forest Stand Using Point Cloud Data from Terrestrial Laser Scanning, Unmanned Aerial Vehicle and Aerial LiDAR Data

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