Modeling dominant height growth of eucalyptus plantations with parameters conditioned to climatic variations

Scolforo, Henrique Ferraço; Neto, Fernando de Castro; Scolforo, José Roberto Soares; Burkhart, Harold E.; McTague, J. P.; Raimundo, Marcel Régis; Loos, Rodolfo Araujo; Fonseca, Sebastião; Sartório, Robert Cardoso

doi:10.1016/j.foreco.2016.09.001

Cited by 26 publications

(16 citation statements)

References 22 publications

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“…The area of planted forests in the world is equivalent to 264 million hectares (Scolforo et al 2016). In Brazil, the forest planta-tion surface reached 7.84 million hectares, with 72.3% being Eucalyptus and 20.15% Pinus in 2016 (IBA 2017).…”

Section: Introductionmentioning

confidence: 99%

Effect of stand density on longitudinal variation of wood and bark growth in fast-growing Eucalyptus plantations

Ramalho¹,

Pimenta²,

Goulart³

et al. 2019

iForest

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The influence of tree spacing on the wood/bark ratio is unknown in young fastgrowing Eucalyptus trees. The objective of this study was to evaluate the effect of plant spacing on the wood and bark production along the Eucalyptus stem. Four genetic materials were planted in four spacings: 3×1 m, 3×2 m, 3×3 m and 3×4 m. Three 5-year-old trees from each clone and in each plant spacing were harvested. Cross-sectional discs (thickness: 30 mm) were cut from each tree along the stem (0%, 25%, 50%, 75% and 100% of the total tree height) and at 1.3 m above ground, totaling 288 disks (4 spacings × 4 clones × 3 replicates × 6 axial positions). The wood thickness was measured at six random and equidistant points around the perimeter using a gauge and means were calculated from each disc. Six cross diameters were measured for each debarked disc. After obtaining the averaged bark thickness and wood diameter, the bark content was calculated as the ratio between the surface area occupied by the bark and the total area of the stem in each level. In the narrowed plant spacing (3×1), the trees had a mean diameter of 7.4 cm, while at the spacing 3×4 the diameter of the trees was 91% higher (14.11 cm) at breast height. The increase in plant spacing from 3 to 12 m 2 per tree resulted in an increase in bark thickness (56.7%) from 1.94 mm to 3.04 mm, but caused a reduction of bark content (16%) from 9.66% to 8.11%. Our findings show that trees grown under wider spacing tend to produce thicker bark. The bark thickness and the effect of plant spacing on the bark thickness decreased in the base-top direction. The correlation between bark thickness and wood diameter increases from 0.682 to 0.825 with the increase of spacing between trees. In contrast, the bark thickness to bark content correlation decrease from 0.735 to 0.15 with increased plant spacing. The stand density significantly affected the variation of the stem diameter, bark thickness and bark content of Eucalyptus plantations.

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Section: Introductionmentioning

confidence: 99%

Effect of stand density on longitudinal variation of wood and bark growth in fast-growing Eucalyptus plantations

Ramalho¹,

Pimenta²,

Goulart³

et al. 2019

iForest

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“…The popularity of planting this species either as a pure species or more commonly in hybrid with other eucalypt species, e.g. E. grandis and E. camaldulensis has increased significantly in Brazil, China, Vietnam and Thailand, particularly to provide raw material for pulp and paper production (Lan, 2011;Sein & Mitlohner, 2011;Manavakum, 2014;Kilulya, Msagati, Mamu, Ngila, & Bush, 2014;Ferraco et al, 2016). In these countries, this species has shown promising growth performance as reported by Maid and Bhumibhamon, (2009);and Sein and Mitlöhner, (2011).…”

Section: Introductionmentioning

confidence: 99%

GENETIC PARAMETER ESTIMATES FOR GROWTH TRAITS IN AN Eucalyptus Urophylla S.T. Blake PROGENY TEST IN TIMOR ISLAND

2016

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GENETIC PARAMETER ESTIMATES FOR GROWTH TRAITS IN AN EUCALYPTUS UROPHYLLA S.T. BLAKE PROGENY TEST IN TIMOR ISLAND.Genetic parameters were estimated for growth traits of Ampupu (Eucalyptus urophylla S.T. Blake) progeny test grown in Southern Central Timor -East Nusa Tenggara Province, Timor Island. When the trial was one year old data were collected from 45 half-sib open pollinated families and assessed. There were genetic variations in height and diameter among families of E. urophylla. Growth traits had moderate heritability, both individually and in family, i.e. 0.28 and 0.55 for height and 0.41 and 0.66 for diameter, respectively. Genetic correlation between height and diameter was strong (0.96). However, the estimation of genetic parameter should be interpreted carefully since the trial was very young. Re-assessment of the trial should be carried out periodically to provide better understanding of the species regarding the dynamic of the genetic interaction between the species and its environment, effective age of selection and prediction of genetic gain.

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“…While this work uses a small number of plots, it represents the sampling intensity adopted by most Brazilian forestry companies, i.e. one plot (usually 200-500 m 2 in size) for each 10 ha of Eucalyptus plantation (Raimundo et al 2017, Scolforo et al 2016) and the results from this research showcase the importance of using remotely sensed data and robust prediction methods for basal area and volume estimation. The data used here were also from a relatively old sensor, Landsat 5 TM, and a study by Fassnacht et al (2014) concluded that predictor data (sensor) type is the most important factor for the accuracy of biomass estimates and that the prediction method had a substantial effect on accuracy and was generally more important than the sample size.…”

Section: Discussionmentioning

confidence: 99%

“…Spain (González-García et al 2015), Portugal (Lopes et al 2009), Uruguay (Barrios et al 2015), Chile (Watt et al 2014), South Africa (Dye et al 2004), Australia (Verma et al 2014), and the USA (Wear et al 2015) are some examples of productive Eucalyptus plantations in temperate regions that have cutting cycles ranging from 8 to 12 years. In tropical regions such as Brazil, the cutting cycles of Eucalyptus plantations range from 5 to 7 years (Guedes et al 2015, Scolforo et al 2016.…”

Section: Introductionmentioning

confidence: 99%

“…Traditionally, productivity assessments of a plantation are carried out based on field measurements of the diameter at breast height (DBH) and tree height via forest inventory. However, in fast-growing plantations, field-based inventory programmes may not be sufficient to capture productivity differences across the entire area, such as those arising from losses due to pest and disease attacks (Coops et al 2006), or from climatic anomalies (González-García et al 2015, Scolforo et al 2016.…”

Section: Introductionmentioning

confidence: 99%

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Spatial prediction of basal area and volume in Eucalyptus stands using Landsat TM data: an assessment of prediction methods

Reis

Carvalho

Mello

et al. 2018

N.Z. j. of For. Sci.

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Background: In fast-growing forests such as Eucalyptus plantations, the correct determination of stand productivity is essential to aid decision making processes and ensure the efficiency of the wood supply chain. In the past decade, advances in remote sensing and computational methods have yielded new tools, techniques, and technologies that have led to improvements in forest management and forest productivity assessments. Our aim was to estimate and map the basal area and volume of Eucalyptus stands through the integration of forest inventory, remote sensing, parametric, and nonparametric methods of spatial prediction. Methods: This study was conducted in 20 5-year-old clonal stands (362 ha) of Eucalyptus urophylla S.T.Blake x Eucalyptus camaldulensis Dehnh. The stands are located in the northwest region of Minas Gerais state, Brazil. Basal area and volume data were obtained from forest inventory operations carried out in the field. Spectral data were collected from a Landsat 5 TM satellite image, composed of spectral bands and vegetation indices. Multiple linear regression (MLR), random forest (RF), support vector machine (SVM), and artificial neural network (ANN) methods were used for basal area and volume estimation. Using ordinary kriging, we spatialised the residuals generated by the spatial prediction methods for the correction of trends in the estimates and more detailing of the spatial behaviour of basal area and volume. Results: The ND54 index was the spectral variable that had the best correlation values with basal area (r = − 0.91) and volume (r = − 0.52) and was also the variable that most contributed to basal area and volume estimates by the MLR and RF methods. The RF algorithm presented smaller basal area and volume errors when compared to other machine learning algorithms and MLR. The addition of residual kriging in spatial prediction methods did not necessarily result in relative improvements in the estimations of these methods. Conclusions: Random forest was the best method of spatial prediction and mapping of basal area and volume in the study area. The combination of spatial prediction methods with residual kriging did not result in relative improvement of spatial prediction accuracy of basal area and volume in all methods assessed in this study, and there is not always a spatial dependency structure in the residuals of a spatial prediction method. The approaches used in this study provide a framework for integrating field and multispectral data, highlighting methods that greatly improve spatial prediction of basal area and volume estimation in Eucalyptus stands. This has potential to support fast growth plantation monitoring, offering options for a robust analysis of high-dimensional data.

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Modeling dominant height growth of eucalyptus plantations with parameters conditioned to climatic variations

Cited by 26 publications

References 22 publications

Effect of stand density on longitudinal variation of wood and bark growth in fast-growing Eucalyptus plantations

Effect of stand density on longitudinal variation of wood and bark growth in fast-growing Eucalyptus plantations

GENETIC PARAMETER ESTIMATES FOR GROWTH TRAITS IN AN Eucalyptus Urophylla S.T. Blake PROGENY TEST IN TIMOR ISLAND

Spatial prediction of basal area and volume in Eucalyptus stands using Landsat TM data: an assessment of prediction methods

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