Procedimentos de controle do volume de madeira estimado e colhido em um plantio de &lt;i&gt;Pinus&lt;/i&gt; spp. no Paraná

Vatraz, Silvane; Borges, Fabrício Quadros

doi:10.5902/1980509814585

Cited by 4 publications

(5 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Serpe et al (2018) point out that the waste that occurs during forest harvesting needs to be measured. Vatraz and Borges (2014) state that incorrect information on the volumetric estimate of wood may harm the managerial results.…”

Section: Introductionmentioning

confidence: 99%

Quality Control of Logs in Semi-Mechanized Harvest

Rotili

BRANDELERO²,

Fortes³

et al. 2022

View full text Add to dashboard Cite

Qualitative logging must be carried out on the semi-mechanized harvest to result in correct logs for the standard measures. This avoids waste and meets the demand of the clients, so management and monitoring of the execution of the logging activity are paramount. The objective of this study was to develop and test in loco a method to control the assertiveness of the lengths of logs, sectioned in a semi-mechanized manner. The method was applied in a stand of Eucalyptus sp., with a 20- year forest management cycle. The survey was divided into four action plans, with biweekly (PQ0, PQ1, PQ2, PQ3 e PQ4) monitoring of activities where PQ0 was for scenario recognition, and PQ1 to PQ4 were for the application of actions and measurement of logs and the classification according to levels (correct, acceptable, alarming, critical and unacceptable). It was observed the improvement of the percentages of the correct and acceptable levels, already in the first fortnight. The control method aided in minimizing failures and waste. It was found that after the application of the method avoided the loss of 0.73% of the total volume of the harvested and processed wood.

show abstract

Section: Introductionmentioning

confidence: 99%

Quality Control of Logs in Semi-Mechanized Harvest

Rotili

BRANDELERO²,

Fortes³

et al. 2022

View full text Add to dashboard Cite

show abstract

“…However, some authors mention the limitations in estimating forest areas in satellite images for national inventories level [10,17]. According to the study of [18], the sampling method used to determine the volume per hectare of Pinus taeda plantation was efficient and reliable; however, the error in the stand area was responsible for a 13.84% increase in the estimated volume, thus demonstrating the importance of a consistent cartographic basis [17]. For this reason, [16] suggested that if the number of trees in the stands was known, the average volume of trees in the plots could be extrapolated by the total number of trees, reducing the inventory error.…”

Section: Introductionmentioning

confidence: 99%

Predicting Stand Volume by Number of Trees Automatically Detected in UAV Images: An Alternative Method for Forest Inventory

Stolle

Corte

Sanquetta

et al. 2021

Forests

View full text Add to dashboard Cite

In this study, we estimate the forest stock volume by multiplying the number of trees detected remotely by the estimated mean individual volume of the population (individual approach). A comparison was made with the conventional inventory method (area approach), which included 100 simulations of a simple random sampling process and a Bootstrap resampling. The study area included three stands: stand 1, 16-year-old pine; stand 2, 7-year-old pine; and stand 3, 5-year-old eucalyptus. A census was carried out in each stand for the variables diameter and total height. Individual volume was estimated by a ratio estimator, and the sum of all volumes was considered as the total parametric volume. The area approach presented parametric values within the confidence interval for 91%, 94%, and 98% of the simulations for the three stands, respectively. The mean relative errors for the area approach were −3.5% for stand 1, 0.3% for stand 2, and −0.9% for stand 3. The errors in stands 1 and 3 were associated with the spatial distribution of the volume. The individual approach proved to be efficient for all stands, and their respective parametric values were within the confidence interval. The relative errors were 1% for stand 1, −0.7% for stand 2, and 1.8% for stand 3. For stand 1 and 3, this approach yielded better results than the mean values obtained by the area approach simulations (Bootstrap resampling). Future research should evaluate other remote sources of data and other forest conditions.

show abstract

“…In post-harvest measurement, felled timber volume is quantified using calculations derived from woodpiles located on the edges of the logging site or, in some cases on the backs of transporting trucks, or in company storage yards. In all cases woodpile volume is calculated by one of two metrics: apparent volume -calculated via the stacking ratio (sr), or cubed or geometric volumes -calculated in cubic meters (m 3 ) (AZEVÊDO et al, 2014;VATRAZ;BORGES, 2014). The problem is that trunks are round, not square, in cross section.…”

Section: Introductionmentioning

confidence: 99%

“…Na mensuração pós-colheita, é quantificado o volume de madeira derrubada, sendo calculado com pilhas alocadas nas beiras dos talhões e em alguns casos nos caminhões ou pátios das indústrias, sendo que nas pilhas a identificação de volume é admitida por duas unidades: para o volume aparente é adotado o estéreo (st) e para o volume cubado ou geométrico é adotado o metro cúbico (m 3 ) (AZEVÊDO et al, 2014;VATRAZ;BORGES, 2014). Para fazer a conversão de um volume para outro é preciso utilizar fatores de empilhamento e de cubicação, os quais sofrem influência das classes de diâmetro (PAULA NETO et al, 1993;NUNES;SOARES, 2017).…”

Section: Introductionunclassified

Stacked volume conversion factor for geometric volume of Eucalyptus sp.

Sandim

Mota

Santos

et al. 2019

AGRO@MBIENTE ON-LINE

View full text Add to dashboard Cite

Post-harvest, wood volume can be calculated with a stacking factor which can be influenced by diameter classes involved. Consequently, the following question arises: there is a difference between the volume conversion factor for stacked to geometric volume between piles of clonal plantation logs of different diameters classes? The hypothesis is: if smaller logs have a higher stacked to geometric volume conversion factor, between-log voids will be smaller and the overall stacks will therefore have lower volumes. Therefore, the objective of this study was to compare stacking and cubing factors in stacks of logs with different diameters for two Eucalyptus sp. clones. The study was conducted in Barra do Corda municipality, Maranhão State, Brazil. Timber was laid in piles of logs by diameter class, composed of logs of smaller (9-10.99 cm) and larger (11-13 cm) diameters. Stacking factor means for clone 1 were 1.88 for the larger diameter and 2.00 for the smaller diameter class, while for clone 2 mean values were 1.62 and 1.65, for stacks with larger and smaller diameter classes, respectively. For logs from the same clone there was no significant difference for the conversion factors between the stacks with the largest and smallest diameter. However, there was a significant difference in the conversion factors between the two clones, proving the hypothesis tested. Thus, for each genetic lineage, a proper stacking factor must be established so that the estimated volume comes close to the real value.

show abstract

Procedimentos de controle do volume de madeira estimado e colhido em um plantio de <i>Pinus</i> spp. no Paraná

Cited by 4 publications

References 0 publications

Quality Control of Logs in Semi-Mechanized Harvest

Quality Control of Logs in Semi-Mechanized Harvest

Predicting Stand Volume by Number of Trees Automatically Detected in UAV Images: An Alternative Method for Forest Inventory

Stacked volume conversion factor for geometric volume of Eucalyptus sp.

Contact Info

Product

Resources

About