Organic Matter and Physical-Hydric Quality of an Oxisol Under Eucalypt Planting and Abandoned Pasture

Rocha, Jonas Elias Castro da; Neto, Alberto Bentes Brasil; Noronha, Norberto Cornejo; Gama, Marcos André Piedade; Carvalho, Eduardo Jorge Macklouf; Silva, Arystides Resende; Santos, Cássio Rafael Costa dos

doi:10.1590/01047760201622042224

Cited by 8 publications

(2 citation statements)

References 12 publications

(4 reference statements)

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“…In Brazil, most tree species used to supply the forest industry are of the genus Eucalyptus; they have favorable characteristics for the industry and can adapt to different edaphic and climatic conditions [2,3]. In the Amazon region, forest plantations with Eucalyptus are expanding, especially in pasture areas [4], where volumetric timber stock should be constantly evaluated. Despite the importance of Eucalyptus in Brazil, there is a lack of technical and scientific information on cultures in the Amazon region [5,6].…”

Section: Introductionmentioning

confidence: 99%

Artificial Neural Networks and Linear Regression Reduce Sample Intensity to Predict the Commercial Volume of Eucalyptus Clones

Júnior

Rocha

Ebling

et al. 2019

Forests

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Equations to predict Eucalyptus timber volume are continuously updated, but most of them cannot be used for certain locations. Thus, equations of similar strata are applied to clonal plantations where trees cannot be felled to fit volumetric models. The objective of this study was to use linear regression and artificial neural networks (ANN) to reduce the number of trees sampled while maintaining the accuracy of commercial volume predictions with bark up to 4 cm in diameter at the top (v) of Eucalyptus clones. Two methods were evaluated in two scenarios: (a) regression model fit and ANN training with 80% of the data (533 trees) and per clone group with 80% of the trees in each group; and (b) model fit and ANN training with trees of only one clone group at ages two and three, with sample intensities of six, five, four, three, two, and one tree per diameter class. The real and predicted v averages did not differ in sample intensities from six to two trees per diameter class with different methods. The frequency distribution of individuals by volume class by the two methods (regression and ANN) compared to the real values were similar in scenarios (a) and (b) by the Kolmogorov–Smirnov test (p-value > 0.01). The application of ANN was more effective for total data analysis with non-linear behavior, without sampled environment stratification. The Prodan model also generates estimates with accuracy, and, among the regression models, is the best fit to the data. The volume with bark up to 4 cm in diameter at the top of Eucalyptus clones can be predicted with at least three trees per diameter class with regression (root mean square error in percentage, RMSE = 12.32%), and at least four trees per class with ANN (RMSE = 11.73%).

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Section: Introductionmentioning

confidence: 99%

Artificial Neural Networks and Linear Regression Reduce Sample Intensity to Predict the Commercial Volume of Eucalyptus Clones

Júnior

Rocha

Ebling

et al. 2019

Forests

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“…From decades of intense exploration and illegal extraction, this species has undergone a serious risk of extinction because the renewal of natural stocks did not follow the great national and international demand (Souza et al, 2008). Additionally, predatory extraction caused the deforestation of vast areas, especially in the Amazonian watershed (Rocha et al, 2016).…”

Section: Introductionmentioning

confidence: 99%

Growth of young Brazilian mahogany (Swietenia macrophylla King) plants under different doses of calcium

Júnior¹,

Silva²,

Santos³

et al. 2018

Aust J Crop Sci

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Knowledge of the nutritional status of vegetal species can anticipate the time at which seedlings are formed, which increases survival rate in the field after planting. The objective of this study was to evaluate the growth and nutrient content of mahogany seedlings according to increasing doses of Ca in the nutrient solution at a pressure ranging from 0.5 to 1.5 atm and a pH of 6. Seedlings of mahogany plants at 45 days of age and with four well-defined leaves were selected for the experiment. The experimental design was completely randomized, with five treatments (0, 80, 160, 240 and 320 mg L −1 of Ca) and five replications. At 71 days after treatment application, some variables were assessed: plant height, stalk diameter, root length, shoot dry matter (SHDM), root dry matter (RDM), SHDM/RDM ratio and Ca content in shoots and roots. The dose of maximum economic efficiency was 119 mg L −1 , which corresponded to production of 27.79 g of total dry matter (TDM). The critical level of Ca for SHDM was 17.10 g kg −1. For the dose of 320 mg L −1 of Ca, a reduction in stalk diameter, root length, SHDM and RDM was observed when compared to the 240 mg L −1 dose. The greatest relative increment in mahogany plant growth was observed at the dose of 240 mg L −1 of Ca.

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Carbon and nitrogen, humic and labile fractions in soil under clonal eucalyptus stands from cerrado

Moraes,

Dionisio,

Schwartz

et al. 2024

Eur J Forest Res

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Organic Matter and Physical-Hydric Quality of an Oxisol Under Eucalypt Planting and Abandoned Pasture

Cited by 8 publications

References 12 publications

Artificial Neural Networks and Linear Regression Reduce Sample Intensity to Predict the Commercial Volume of Eucalyptus Clones

Artificial Neural Networks and Linear Regression Reduce Sample Intensity to Predict the Commercial Volume of Eucalyptus Clones

Growth of young Brazilian mahogany (Swietenia macrophylla King) plants under different doses of calcium

Carbon and nitrogen, humic and labile fractions in soil under clonal eucalyptus stands from cerrado

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