Volume increment modeling and subsidies for the management of the tree Mora paraensis (Ducke) Ducke based on the study of growth rings

Miranda, Zenaide Palheta; Guedes, Marcelino Carneiro; Rosa, Sejana Artiaga; Schöngart, Jochen

doi:10.1007/s00468-017-1630-7

Cited by 14 publications

(15 citation statements)

References 35 publications

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“…Although the adult trees present a log‐normal distribution pattern, the natural regeneration shows a very stable and auto‐regenerative structure, with its inverted “J” distribution pattern (Miranda et al, 2018). This characteristic is important, as the regenerants provide for a constant flow of trees to the upper classes.…”

Section: Discussionmentioning

confidence: 99%

Demographic and growth patterns of Pentaclethra macroloba (Willd.) Kuntze, a hyperdominant tree in the Amazon River estuary

et al. 2022

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Little is known about the life history and environmental factors that regulate the growth rate of hyperdominant trees in flooded Amazonian forests. Pentaclethra macroloba is a hyperdominant tree, and it is widely explored in the Amazon, because its seed oil is a powerful herbal medicine. We evaluated the demographic structure and growth patterns of P. macroloba and tested the effect of the Amazon River flood pulse on its growth. We modeled the growth and determined the age of P. macroloba by analyzing the growth rings of 30 monitored trees in relation to hydroclimatic variables. We also inventoried 240 juvenile and 2072 adult trees arranged in a clustered pattern. The diametric distribution pattern of the juvenile and adult trees was exponential and log‐normal, respectively. The trees were found to be up to 102 years old, and 47% of them grew freely toward the canopy. Peak growth in height and diameter occurred at 24 (61.7 cm year‐1) and 46 (9.38 mm year‐1) years, respectively. Pentaclethra macroloba showed cambial dormancy during the seasonal peak of rainfall (R2 = 0.41; t = −2.62; p < 0.01) and flooding of the Amazon River (R2 = 0.47; t = −3.01; p < 0.01). Increases in rainfall and flood level of the river in the rainy season control the growth rate of P. macroloba, making it a seasonal process. The demographic and growth patterns of P. macroloba respond to the environmental heterogeneity of the estuarine floodplain forest and also reflect its life history over time.

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Section: Discussionmentioning

confidence: 99%

Demographic and growth patterns of Pentaclethra macroloba (Willd.) Kuntze, a hyperdominant tree in the Amazon River estuary

et al. 2022

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“…Fator de forma, média 0,75 Um aspecto que pode explicar fatores de forma menores nas toras oriundas de árvores com 9 anos é que a culminação do incremento corrente anual em altura acontece antes do diâmetro (MACHADO et al, 2015;MIRANDA et al, 2017). Isso denota que quando as árvores são jovens apresentam crescimento mais acelerado em altura, tendo maior conicidade e, à medida que entram em classes de idade superiores e se estabelecem no dossel do povoamento, tendem a ficar mais cilíndricas devido ao maior incremento em diâmetro comparativamente à altura.…”

Section: Efeito Do Sortimento E Da Idade Nas Características Da Madeiraunclassified

Efeito da idade, sortimento e tempo de estocagem na densidade verde da madeira de <i>Pinus taeda</i> L.

et al. 2022

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O conhecimento da densidade verde é fundamental no processo de comercialização e abastecimento industrial, possibilitando a conversão entre unidades de volume e massa da madeira. Dessa forma, o objetivo deste estudo foi avaliar a influência da idade da madeira, sortimentos e tempo de estocagem sobre a variação da densidade verde de toras de Pinus taeda L. Para isso, foram estudadas toras com diâmetros na ponta fina entre 8-18 cm (S1) e 18-24 cm (S2), com idade de 9 anos. Além desses dois sortimentos (S1 e S2), outros dois também foram analisados para toras com 21 anos de idade, 24-35 cm (S3) e acima de 35 cm (S4). A densidade verde da madeira foi determinada por meio da cubagem rigorosa e pesagem das toras no momento da colheita das árvores e em outras seis ocasiões, aos 7, 14, 21, 28, 60 e 90 dias de estocagem a campo. O efeito dos fatores idade, sortimento e tempo de estocagem foram verificados pelo modelo linear geral (p<0,05). Posteriormente, equações para estimativa da densidade verde foram ajustadas em função da densidade básica e diâmetro médio das toras. Os resultados demonstraram que todos os fatores considerados tiveram efeito significativo sobre a densidade verde da madeira. A madeira mais velha apresentou maiores valores para essa variável e, dentro de cada idade, a densidade verde da madeira aumentou à medida que o diâmetro das toras diminuiu. O tempo de estocagem exerceu influência apenas sobre a densidade verde dos S1 e S2 em ambas idades. As equações ajustadas mostraram resultados satisfatórios para a predição da densidade verde da madeira. Assim, conclui-se que os fatores estudados devem ser considerados em amostragens para a determinação da densidade verde da madeira e que é possível utilizar variáveis de fácil obtenção, como o diâmetro médio das toras, para a estimativa dessa variável com precisão satisfatória.

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“…3) allow us to calculate commercial volumes of individual trees and stand more accurately where there is no field measuring. Other authors used the commercial height/dbh ratio to model the wood volume in the Amazon forest (Brienen and Zuidema 2006a;Fortini and Zarin 2011;Miranda et al 2018b).…”

Section: Production Modeling At Individual Tree Levelmentioning

confidence: 99%

A new approach to maximize the wood production in the sustainable management of Amazon forest

Canetti¹,

Braz

Mattos

et al. 2021

Annals of Forest Science

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Key messageWe presented a method to determine the optimal wood production in Amazon forest. The database that feeds the procedure is faster to obtain when compared to other methods. The simulations resulted in higher wood volume production when compared to the current management system. Moreover, it avoids overexploiting several species which could occur due to felling trees before maturity.• Context Currently in Brazil, generalized forest law rules the management of the entire set of timber species and typologies. However, it is important to consider dynamics specificity of each species to ensure management sustainability, especially for the Amazon forest with its wide floristic diversity.• Aims To develop a procedure to determine which logging diameter would achieve optimal wood production by species, using Apuleia leiocarpa (Vogel) J.F. Macbr., Erisma uncinatum Warm., Hymenolobium excelsum Ducke, and Trattinnickia burserifolia Mart. as studying case.• Methods Two main methodologies of analysis by species were combined: probability density function (PDF) and growth modeling. The growth models were used to derive the volume increment curves at the individual tree level. To detect the points of maximum annual increment in volume at the population tree level, we used PDF with adjusted growth equations. • ResultsThe population maximum annual volumetric increments occurred in smaller diameters compared to that of the individual level. When combining shorter cutting cycles with the population biological rotation point considered the minimum felling diameter (MFD), we observed higher annual increments in volume than that achieved using the Brazilian law criteria (MFD = 50 cm) or other MFD tested. • ConclusionThe procedure proposed may be used by forest managers and forest law-makers, aiming to maximize sustainable wood production in the Amazon forest.

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Volume increment modeling and subsidies for the management of the tree Mora paraensis (Ducke) Ducke based on the study of growth rings

Cited by 14 publications

References 35 publications

Demographic and growth patterns of Pentaclethra macroloba (Willd.) Kuntze, a hyperdominant tree in the Amazon River estuary

Demographic and growth patterns of Pentaclethra macroloba (Willd.) Kuntze, a hyperdominant tree in the Amazon River estuary

Efeito da idade, sortimento e tempo de estocagem na densidade verde da madeira de <i>Pinus taeda</i> L.

A new approach to maximize the wood production in the sustainable management of Amazon forest

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