Individual tree growth models for eucalyptus in northern Brazil

Martins, Fabrina Bolzan; Soares, Carlos Pedro Boëchat; Silva, Gilson Fernandes da

doi:10.1590/s0103-90162014000300006

Cited by 21 publications

(4 citation statements)

References 31 publications

(47 reference statements)

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“…In this research, the repeatability of different traits ranged from 0.76 to 0.99, which indicated that a great deal of variation in these clones was repeatable. These results agree with Yang et al [25] for Eucalyptus and Martins et al [30] for Casuarina. High repeatability estimates indicate that the selection for these traits is effective and less influenced by environmental effects [31].…”

Section: Genetic and Variation Parameterssupporting

confidence: 92%

G × E Analysis of Growth Traits of Betula platyphylla Clones at Three Separated Sites in Northeastern China

Li¹,

Zhang²,

Zhang³

et al. 2022

Phyton

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To select elite materials, the growth traits of 32 Betula platyphylla clones at three separated northern sites in Northeast China were investigated and analyzed. The results showed that there were significant differences among all variation sources in the different investigated traits (P < 0.01). Except for the carbon contents, all the coefficients of phenotypic variation of the other investigated traits were higher than 10%. The repeatability of different traits ranged from 0.760 to 0.998. Correlation analysis showed that tree height were significantly correlated with diameter at breast height, but neither was significantly correlated with leaf traits nor element contents. Additive main effects and multiplicative interaction analysis showed that genotype, environment and genotype × environment interactions were significantly different in diameter at breast height, which indicated that environment had a significant effect on genotype. Comprehensive assessment results showed that three clones with high and stable diameters at breast height were selected, and the genetic gains of diameter at breast height on sites Maoershan, Qingan, and Yongji were 21.24%, 20.58%, and 38.65%, respectively. The results could provide a theoretical basis for elite clone selection in B. platyphylla and other broad leaved species.

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Section: Genetic and Variation Parameterssupporting

confidence: 92%

G × E Analysis of Growth Traits of Betula platyphylla Clones at Three Separated Sites in Northeastern China

Li¹,

Zhang²,

Zhang³

et al. 2022

Phyton

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“…The data from each plot at 72 months were used to project the DBH and Ht up to 120 months, at 12month intervals. For that, a complete model at the individual tree level was used in a projection structure of the variables, at a current age for a future age (t → t + 1), adjusted for the study area by Martins et al (2014). The equations were developed for each productive capacity classes: S32 where: I1 and I2 are the current (1) and future (2) ages (months); DBH1 and DBH 2 are the diameters at breast height in the current (1) and future (2) ages (cm); Ht1 and Ht2 are the total heights in the current (1) and future (2) ages (m); S is the location index.…”

Section: Methodsmentioning

confidence: 99%

Optimization and Economic Analysis of Multiproducts Obtained From Wood of Eucalyptus Stands Under Different Productive Capacity Classes and Rotation Ages

Viana

Castro²,

Souza³

et al. 2021

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The present study aimed to analyze the yield and economic viability of the destination, for lumber and energy, of the wood from non-thinned stands of the hybrid Eucalyptus urophylla x Eucalyptus grandis under different productive capacity class and whose production was projected by individual tree growth model to different ages. The simulation of the growth of individual trees was performed by applying the height and diameter growth, and mortality sub-models for three productive capacity classes: high, medium and low. The Kozak model was adjusted to study the stem taper and, in addition, used to optimize patterns for sawing logs and to produce lumber. The economic viability of the projects was evaluated by Net Present Value, Equivalent Periodic Benefit and risk analysis using the Monte Carlo method. It was observed that in areas with less productive capacity the volume of wood destined for energy was greater than 80% and, in areas with greater productive capacity the volume of lumber was greater than 26%. Economic indicators showed that the lumber production was viable at any of the studied rotation age. The risk analysis using the Monte Carlo method did not indicate the possibility of the project being unfeasible under the conditions analyzed. The quantity of different types of products obtained and the wood yield depends on the productive capacity class and age of the stand. The destination of the wood for multiproducts is the most viable option, regardless of the productive capacity class.

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“…Analysis and modeling of dendroecological data by growth functions can provide information on growth patterns to predict feasible target diameters and to evaluate and adjust current forest management practices. However, the models constructed by traditional linear or nonlinear growth functions are difficult to apply to sites with complex conditions due to the inability to account for the influence of stochastic factors such as site factors [20,21]. The mixed-effects models can effectively solve this problem.…”

Section: Introductionmentioning

confidence: 99%

The Minimum Target Diameter and the Harvest Age of Oak Natural Secondary Forests in Different Sites Conditions: Case Study in Hunan Province, China

You,

Zhu

2024

Forests

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Maintaining permanent forest canopy cover and eventually harvesting timber by predetermined target diameter are often considered as a prototype for future management of the oak natural forest. However, target diameters and harvest age based on average forest growth rates from wide geographical areas often hamper improved management of oak forests. In this study, based on the sampling of 129 target trees from 51 oak natural secondary forest plots in Hunan Province, China, an individual-tree DBH (diameter at breast height) growth model of oak target trees was developed, and the site type (41 levels) was related to the model as random effects by a nonlinear mixed-effects approach. Moreover, the 41 site types were clustered into four site type groups (STG1, STG2, STG3, and STG4) by the K-means clustering algorithm to improve the model performance and practicality. With the help of the model, the five target diameters (including 24, 30, 40, 50, and 60 cm) were simulated in each of the four STGs, and the minimum target diameter was determined for each STG based on the theory of quantitative maturity. In the four STGs, the harvest age of the 24 cm diameter target ranged from 30 to 51 years; the harvest age of the 60 cm target diameter ranged from 131 to 220 years, with the oaks failing to reach 60 cm in the lowest-quality STG4; the minimum target diameter ranged from 21 cm to 29 cm. Results showed that lower-quality sites exclude higher target diameters from optimal harvesting strategies, in contrast to the higher target diameter as a more reasonable strategy in higher quality sites, and that the minimum target diameter is significantly influenced by site conditions. Therefore, it is necessary to develop a diverse target-diameter-harvesting strategy adapted for the complex site conditions of oak forests in Hunan Province towards site-specific timber management to improve the sustainability of timber production in oak forests.

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Individual tree growth models for eucalyptus in northern Brazil

Cited by 21 publications

References 31 publications

G × E Analysis of Growth Traits of Betula platyphylla Clones at Three Separated Sites in Northeastern China

G × E Analysis of Growth Traits of Betula platyphylla Clones at Three Separated Sites in Northeastern China

Optimization and Economic Analysis of Multiproducts Obtained From Wood of Eucalyptus Stands Under Different Productive Capacity Classes and Rotation Ages

The Minimum Target Diameter and the Harvest Age of Oak Natural Secondary Forests in Different Sites Conditions: Case Study in Hunan Province, China

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