Individual height–diameter models for young black spruce (<i>Picea mariana</i>) and jack pine (<i>Pinus banksiana</i>) plantations in New Brunswick, Canada

Lei, Xiangdong; Peng, Changhui; Wang, Haiyan; Zhou, Xiaolu

doi:10.5558/tfc85043-1

Cited by 32 publications

(27 citation statements)

References 36 publications

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“…These results are in accordance with the values observed in the literature in terms of accuracy and precision (HUANG et al, 2000;COLBERT et al, 2002;PENG et al, 2004;ADAME et al, 2008;OUZENNOU et al, 2008;LEI et al, 2009;CRECENTE-CAMPO et al, 2010).…”

Section: Discussionsupporting

confidence: 83%

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HEIGHT-DIAMETER RELATIONSHIPS FOR Araucaria angustifolia (BERTOL.) KUNTZE IN SOUTHERN BRAZIL

Costa

Schröder

Finger

2016

CERNE

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Height-diameter relationships are used in order to make forest inventories less expensive and to assess growth and yield. This study aimed to develop heightdiameter models for individual trees of Araucaria angustifolia (Bertol.) Kuntze for different locations and growth conditions in Southern Brazil. Our data include locations of at least one third of this species natural geographical distribution. We used Michailoff's model, and compared height-diameter tendency through analytical methods. The model showed good overall precision and accuracy. Trees growing in forest conditions had a higher asymptotic height, and reached it at smaller diameters than open-grown trees. Different regions had contrasting height-diameter tendency indicating site potential, especially for natural forests. Individual tree asymptotic height was correlated with site altitude and mean annual precipitation. This study represents a source of parameters for heightdiameter relationships in a large geographical span, for a species with high cultural and timber value in Southern Brazil. RELAÇÃO ALTURA-DIÂMETRO PARA Araucaria angustifolia (BERTOL.) KUNTZE NO SUL DO BRASIL RESUMO:A relação entre a altura-diâmetro são usualmente empregadas com intuito de obter inventários florestais menos custosos e para avaliar o crescimento e a produção. Este estudo teve como objetivo desenvolver modelos de altura-diâmetro para árvores individuais de Araucaria angustifolia (Bertol.) Kuntze para diferentes locais e condições de crescimento no Sul do Brasil. Os dados incluem localização de pelo menos um terço da distribuição geográfica natural da espécie. Foi utilizado o modelo de Michailoff e a comparação das tendências de altura-diâmetro por meio de métodos analíticos. O modelo mostrou de forma geral boa precisão e acurácia. Árvores que crescem em condições de floresta tem uma altura maior assintótica, alcançando em diâmetros menores do que as árvores crescendo livre de competição. Diferentes regiões tem contrastantes tendência altura-diâmetro indicando potencial local, especialmente para florestas naturais. A assíntota do modelo de altura das árvores apresentou correlação com a altitude local e precipitação média anual. Este estudo representa uma fonte de parâmetros das relações altura-diâmetro em uma ampla extensão geográfica, para uma espécie com alto valor cultural e potencial madeireiro no Sul do Brasil.

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Section: Discussionsupporting

confidence: 83%

“…However, obtaining tree height for inventories and validation data is time consuming and therefore costly (LEI et al, 2009). Besides, the need to use distances and angles (CRECENTE-CAMPO et al, 2010) makes measuring individual trees much prone error, especially in forests with dense understories.…”

Section: Introductionmentioning

confidence: 99%

HEIGHT-DIAMETER RELATIONSHIPS FOR Araucaria angustifolia (BERTOL.) KUNTZE IN SOUTHERN BRAZIL

Costa

Schröder

Finger

2016

CERNE

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“…(2000), Peng et al (2001), and Lei et al (2009). The two base models that showed the ''best'' performance on the aspen data took the following forms:…”

Section: Base Modelsmentioning

confidence: 99%

Assessing the impacts of species composition, top height and density on individual tree height prediction of quaking aspen in boreal mixedwoods

Huang

Wiens

Yang

et al. 2009

Forest Ecology and Management

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“…Hence, the H-D model has been widely used as an important method for obtaining tree heights and evaluating forest productivity in even or uneven-aged forests [10,11].Various H-D models have been developed and applied for the management of different forest types [12]. The H-D model varies between stands and species; depending on the variables used, the models were classified into two types: the locally applied model and the generalized use model [13,14]. The locally applied models commonly are only dependent on tree diameter or tree age and only applicable to the stand where the data were collected [15].…”

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confidence: 99%

Predicting Tree Height-Diameter Relationship from Relative Competition Levels Using Quantile Regression Models for Chinese Fir (Cunninghamia lanceolata) in Fujian Province, China

Zhang

Chen

Zhou

et al. 2020

Forests

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The importance of the height-diameter (H-D) relationship in forest productivity is well known. The general nonlinear regression model, based on the mean regression technical, is not able to give a complete description of the H-D relationship. This study aims to evaluate the H-D relationship among relative competition levels and develop a quantile regression (QR) model to fully describe the H-D relationship. The dominance index was applied to determine the relative competition levels of trees for the Chinese fir. Based on the basic Weibull growth model, the mean regression for five relative competition levels and 11 QR models was constructed with 10-fold cross-validation. We have demonstrated that the H-D relationship for the Chinese fir strongly correlated with relative competition states, but the five curves from mean regression models did not show a notable difference between the trends of H-D relationship under different competition levels. Similar regression results were found in QR models of the specific quantiles; the average tree height of five competition levels varied between 5.78% and 17.65% (i.e., about 0.06 and 0.18 quantiles). In addition, some special curves of the H-D relationship such as the QR models of the 0.01 and 0.99 quantile showed the H-D relationship under certain conditions. These findings indicate that the QR models not only evaluated the rates of change of the H-D relationships in various competition levels, but also described their characteristics with more information, like the upper and lower boundary of the conditional distribution of responses. Although the flexible QR curves followed the distribution of the data and showed more information about the H-D relationships, the H-D curves may not intersect with each other, even when the trees reached their maximum height. Hence, the QR model requires further practice in assessing the growth trajectory of the tree’s diameter or tree height to gain better results.

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Individual height–diameter models for young black spruce (Picea mariana) and jack pine (Pinus banksiana) plantations in New Brunswick, Canada

Cited by 32 publications

References 36 publications

HEIGHT-DIAMETER RELATIONSHIPS FOR Araucaria angustifolia (BERTOL.) KUNTZE IN SOUTHERN BRAZIL

HEIGHT-DIAMETER RELATIONSHIPS FOR Araucaria angustifolia (BERTOL.) KUNTZE IN SOUTHERN BRAZIL

Assessing the impacts of species composition, top height and density on individual tree height prediction of quaking aspen in boreal mixedwoods

Predicting Tree Height-Diameter Relationship from Relative Competition Levels Using Quantile Regression Models for Chinese Fir (Cunninghamia lanceolata) in Fujian Province, China

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