Height-to-diameter ratios with temporal and dendro/morphometric variables for Brazilian pine in south Brazil

Hess, André Felipe; Minatti, Myrcia; Costa, Emanuel Arnoni; Schorr, Luís Paulo Baldissera; Rosa, Gabriel Teixeira da; Souza, Isadora de Arruda; Borsoi, Geedre Adriano; Liesenberg, Veraldo; Stepka, Thiago Floriani; Abatti, Roberta

doi:10.1007/s11676-019-01084-8

Cited by 8 publications

(5 citation statements)

References 31 publications

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“…For sites presented hd ratio of 40, which indicates a higher growth in d than in h, older and slow-growing trees (Hess et al, 2020). Lower cr values influence the photosynthetic and productive capacity of the forest.…”

Section: Resultsmentioning

confidence: 92%

Form of Distribution of Dendro/Morphometric Variables for Brazilian Pine in Southern Brazil

Hess¹,

Schiitter²,

Santos³

et al. 2021

JAS

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The form of distribution found for the dendro/morphometric variables determines the structure, stability, productivity of forest stands, being a tool to propose silvicultural interventions, management, conservation of species, and dynamics of this environment. Thus, this study evaluates, using probability density functions (pdf), the form of distribution of these variables for araucaria in five sites in southern Brazil, aiming to establish the dynamics and identify the existence of a standard—or the lack thereof—to propose the need for silvicultural interventions to conserve the species and the future forest structure. The Normal, Log-Normal, Weibull and Gamma probability density functions were tested. Results show no significant changes in the shape and dimension in the forest structure dynamics, but a period of stability in the pattern of dendro/morphometric values, resulting from the stagnation of the values of the variables, non-intervention in the forest, relationship with the site, density, competition, and position of the tree in the forest stratum, which compromises the future structure of this forest typology. The study proves that the distribution probability of the variables can be used in management for species conservation and future structure development, as this influences the growth dynamics and processes, resource availability, and the stability, diversity, vitality, and productivity of the species.

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Section: Resultsmentioning

confidence: 92%

Form of Distribution of Dendro/Morphometric Variables for Brazilian Pine in Southern Brazil

Hess¹,

Schiitter²,

Santos³

et al. 2021

JAS

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“…B. madagascariensis showed mean FC of 0.64, with slender and sparse crowns. The SI which expresses how larger the crown diameter is than the DBH (MUGASHA et al, 2013;HESS et al, 2021), was 61.0 for P. angolensis¸ in other words, the crown diameter is 61 times larger than the DBH -and 21.4 for B. madagascariensis (Table 1, Figure 4g).…”

Section: Discussionmentioning

confidence: 99%

“…P. angolensis showed an increase in insertion height crown and crown diameter as trees grew in diameter (Figure 4b and 4d). The high variability in the dimensions of the crown can be related to the different degrees of competition to which the tree is subjected (SEIFERT et al, 2014;HESS et al, 2021).…”

Section: Discussionmentioning

confidence: 99%

Crown Morphometry for Two Valuable Timber Species From Miombo Woodland in Mozambique

Hofiço

Costa

Finger

2021

NAT

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Pterocarpus angolensis DC and Bobgunnia madagascariensis (Desv.) J. H. Kirkbr. & Wiersema are two hardwood species found in Miombo woodland. Crown size, being closely related to the photosynthetic capacity of a tree, is an important parameter in studies of the growth of individual trees. In this sense, the present study aimed to study the morphometric relationships of P. angolensis and B. madagascariensis as a resource to describe the morphometric features of these species. Data were sampled in 60 rectangular plots of 20 x 50 m, systematically distributed within the forest. In each plot, the diameter at breast height (DBH), height (h), crown insertion point (cih) and four crown radii of all trees with DBH ≥ 10 cm were measured. Results indicated that crown diameter and crown length of P. angolensis grow as DBH and height increase, the larger the crown, the greater the trees dimensions; as for B. madagascariensis, crown features have shown low correlation when considering DBH. It was concluded that crown features influence on tree growth and are important measures of description and planning of silvicultural activities to be performed in natural forests. The results are of interest to forest managers since they make decisions about silvicultural operations. Keywords: crown dimensions; prediction models; umbila; pau-ferro; forest management.

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“…Unlike their findings, in our study the species composition (species diversity index) was not effective for all species groups. In general, the BAL variable has been used as the most important competition variable in previous growth and increment modeling studies (e.g., [60][61][62][63][64]). In this study, we incorporated all the measured independent variables, i.e., DBH, BAL, H S, H d, BA, number of trees per hectare, slope, aspect, and altitude into the modeling process.…”

Section: Discussionmentioning

confidence: 99%

Machine Learning for the Estimation of Diameter Increment in Mixed and Uneven-Aged Forests

et al. 2022

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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 application of two machine learning methods, i.e., the multilayer perceptron artificial neural network (MLP) and adaptive neuro-fuzzy inference system (ANFIS), for developing diameter increment models for the Hyrcanian forests. For this purpose, the diameters at breast height (DBH) of seven tree species were recorded during two inventory periods. The trees were divided into four broad species groups, including beech (Fagus orientalis), chestnut-leaved oak (Quercus castaneifolia), hornbeam (Carpinus betulus), and other species. For each group, a separate model was developed. The k-fold strategy was used to evaluate these models. The Pearson correlation coefficient (r), coefficient of determination (R2), root mean square error (RMSE), Akaike information criterion (AIC), and Bayesian information criterion (BIC) were utilized to evaluate the models. RMSE and R2 of the MLP and ANFIS models were estimated for the four groups of beech ((1.61 and 0.23) and (1.57 and 0.26)), hornbeam ((1.42 and 0.13) and (1.49 and 0.10)), chestnut-leaved oak ((1.55 and 0.28) and (1.47 and 0.39)), and other species ((1.44 and 0.32) and (1.5 and 0.24)), respectively. Despite the low coefficient of determination, the correlation test in both techniques was significant at a 0.01 level for all four groups. In this study, we also determined optimal network parameters such as number of nodes of one or multiple hidden layers and the type of membership functions for modeling the diameter increment in the Hyrcanian forests. Comparison of the results of the two techniques showed that for the groups of beech and chestnut-leaved oak, the ANFIS technique performed better and that the modeling techniques have a deep relationship with the nature of the tree species.

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Height-to-diameter ratios with temporal and dendro/morphometric variables for Brazilian pine in south Brazil

Cited by 8 publications

References 31 publications

Form of Distribution of Dendro/Morphometric Variables for Brazilian Pine in Southern Brazil

Form of Distribution of Dendro/Morphometric Variables for Brazilian Pine in Southern Brazil

Crown Morphometry for Two Valuable Timber Species From Miombo Woodland in Mozambique

Machine Learning for the Estimation of Diameter Increment in Mixed and Uneven-Aged Forests

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