Alternative criteria to achieve sustainable management of Mezilaurus itauba in the Brazilian Amazon

Braz, E. M.; Canetti, Aline; Mattos, P. P. de; Basso, Renato Olivir; Filho, Afonso Figueiredo

doi:10.4336/2018.pfb.38e201801648

Cited by 5 publications

(4 citation statements)

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“…The increments (m³ ha -1 year -1 ) of each species were, in general, compatible with other studies carried out in the Amazon, using permanent plots (Reis et al, 2010;Braz et al, 2018). Reis et al (2010) obtained similar increments for E. uncinatum (Table 4), considering the cutting cycle and MCD of the Brazilian forest law (Brasil, 2006).…”

Section: Volumetric Production Using Different Management Criteriasupporting

confidence: 88%

Strategies to Maximize the Wood Production in Amazon Forest

Canetti¹,

Braz

Mattos

et al. 2020

Preprint

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BackgroundThis study aimed to develop a procedure to determine which logging diameter would achieve optimal wood production by species, aiming to support sustainable management of the Amazon forest. 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 as the minimum cutting diameter (MCD), we observed higher annual increments in volume than that achieved using the Brazilian law criteria (MCD = 50 cm) or other MCD 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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Section: Volumetric Production Using Different Management Criteriasupporting

confidence: 88%

Strategies to Maximize the Wood Production in Amazon Forest

Canetti¹,

Braz

Mattos

et al. 2020

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

“…The increments (m 3 ha −1 year −1 ) of each species were, in general, compatible with other studies carried out in the Amazon, using permanent plots (Reis et al 2010;Braz et al 2018). Reis et al (2010) obtained similar increments for E. uncinatum (Table 3), considering the cutting cycle and MFD of the Brazilian forest law (Brasil 2006).…”

Section: Volumetric Production Using Different Management Criteriasupporting

confidence: 88%

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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“…This scenario will enable wood harvesting in a short period (every 15 years) and lead to meeting the local community interest as well as the national wood demand gap. The timber volume increment presented here is higher than the findings from selected timber trees from the Brazilian Amazon Forest (BRAZ; CANETT; DE MATTOS; BASSO et al, 2018;BASSO, 2021), from the Bolivian Amazon Forest (BRIENEN;. However, it is within the range of the average volume increment reported from selectively logged tropical forests (Putz et al, 2012) MANAGEMENT, 2005).…”

Section: Discussioncontrasting

confidence: 65%

Decision support tools for the management in a Dry Afromontane Forest in Ethiopia

Legese

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Ethiopia is one of the tropical countries endowed with diverse forest formations. These forests provide large amounts of wood that can be used for furniture, construction, and domestic energy consumption. However, the gap between the supply and demand of wood is huge and increasing. This growing demand could be met by the sustainable production of wood from the existing natural forests. This requires up-to-date information on forest structure, diameter growth rate, standing volume, cutting cycle, and minimum logging diameter of trees. Unfortunately, such information is not available for trees from the Chilimo Dry Afromontane Forest in Ethiopia. To address this gap, this study aimed to i) develop a nonlinear mixed-effects model for predicting Juniperus procera tree height (chapter one); ii) develop mixed-species allometric equations to quantify stem volume and biomass of trees from the Chilimo Dry Afromontane Forest (chapter two), and iii) ensuring sustainable wood harvesting from J. procera trees in the Chilimo Dry Afromontane Forest (chapter three). For the first chapter, a total of 1,215 height and diameter measurements were recorded on 101 sample plots. The best- fitting base model was selected after a comparison of fourteen models. We also included the sample plot as a random effect in non-linear mixed effect modeling. The effect of adding stand variables on height prediction performance was also evaluated. The bias, root mean square error, and AIC were computed and used as the model evaluation criteria. We found that the Michaelis-Menten model best represented the height-diameter allometry of J. procera trees. The best mixed-effects model (M1) improved the height prediction performance with the RMSE and bias values of 2.692 and 0.043, respectively. The addition of the quadratic mean diameter and stem density slightly improved the prediction performance of the best-mixed effects model. The calibration response revealed that the systematic selection of the three largest diameter trees in a sample plot is the best sampling alternative to estimate the random effects and predict the height of J. procera trees from the new plots or stands. For the second chapter, we used a total of 194 sample trees from seven dominant tree species (Juniperus procera, Podocarpus falcatus, Allophylus abyssinicus, Olea africana ssp. Cuspidata, Olinia rochetiana, Rhus glutinosa, and Scolopia theifolia). Various volume and biomass equations were fitted using robust linear and nonlinear regression models. Model comparison indicated that the best model to estimate stem volume was 𝑙𝑛(𝑣)=−9.909 + 0.954 𝑙𝑛 ( 𝑑𝑏ℎ 2 ℎ𝑡 ) , whereas the best model to estimate biomass was 𝑙𝑛(𝑏) =−2.983 + 0.949 𝑙𝑛 ( 𝜌𝑑𝑏ℎ 2 ℎ𝑡 ) . These equations explained over 85 % of the variations in the stem volume and biomass measurements. The mean density and basal area of trees with dbh ≥ 2 cm were 24.4 m 2 ha -1 and 631.5 stems ha -1 , respectively. Based on the newly developed equations, the forest has on average 303.0 m 3 ha -1 standing volume of wood and 283.8 Mg ha -1 biomass stock. The newly developed allometric equations derived from this study can be used to accurately determine the stem volume, biomass, and carbon storage in the Afromontane forests in Ethiopia and elsewhere with similar stand characteristics and ecological conditions. By contrast, the generic pan-tropical and other local models appear to provide biased estimates and are less appropriate for dry Afromontane forests in Ethiopia. For the third chapter, we established 165 plots (each 400 m 2 ) in the forest and collected vegetation data. We also conducted growth ring measurements on 12-disc samples from J. procera trees. We determined the diameter growth rate, the current and mean annual increments, the minimum logging diameter, and the cutting cycle. By using the stand projection table, we estimated the harvestable volume of wood by combining four minimum logging diameters and five cutting cycles. The findings revealed that J. procera tree species has a mean density of 183 stems ha -1 , a total basal area of 12.1 m 2 ha -1 , and 98.9 m 3 ha -1 standing volume of wood. The population exhibited an inverted J-shape diameter distribution pattern. The mean annual diameter growth rate ranges between 0.50 and 0.65 cm yr -1 , with an overall mean of 0.59 cm yr -1 . The current annual increment occurred at 50 years when trees reached 30 cm in diameter, while the mean annual increment occurred at 90 years when trees attained 50 cm in diameter. After evaluating various scenarios, we found that a minimum logging diameter of 40 cm and a cutting cycle of 15 years provided the highest harvestable volume of wood (22 m 3 ha -1 ) and volume increments (1.4 m 3 ha -1 yr -1 ). Additionally, this scenario allows for the harvesting of 9% of the standing J. procera trees while maintaining a larger proportion (91%) of the existing standing trees in the forest. Based on our findings, we concluded that the Chilimo Dry Afromontane Forest is well stocked and has a substantial amount of harvestable wood volume, which could help Ethiopia meet its growing national wood demand. Our study provides valuable information for policy makers to formulate regulations for wood harvesting from J. procera trees in Chilimo forest. Keywords: Wood production. Forest structure. Allometeric equations. Dendrochronology. Mixed models.

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Alternative criteria to achieve sustainable management of Mezilaurus itauba in the Brazilian Amazon

Cited by 5 publications

References 24 publications

Strategies to Maximize the Wood Production in Amazon Forest

Strategies to Maximize the Wood Production in Amazon Forest

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

Decision support tools for the management in a Dry Afromontane Forest in Ethiopia

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