التفاصيل البيبلوغرافية
| العنوان: |
Modeling residual biomass from mechanized wood harvesting with data measured by forest harvester. |
| المؤلفون: |
Rodrigues CK; Programa de Pós-Graduação em Ciências Florestais, Universidade Estadual do Centro-Oeste/UNICENTRO, PR 153, Km 7, 84500-000 Irati, PR, Brazil., Lopes ES; Programa de Pós-Graduação em Ciências Florestais, Universidade Estadual do Centro-Oeste/UNICENTRO, PR 153, Km 7, 84500-000 Irati, PR, Brazil., Figueiredo Filho A; Programa de Pós-Graduação em Ciências Florestais, Universidade Estadual do Centro-Oeste/UNICENTRO, PR 153, Km 7, 84500-000 Irati, PR, Brazil., Pelissari AL; Departamento de Ciências Florestais, Universidade Federal do Paraná/UFPR, Av. Prof. Lothário Meissner, 632, 80210-170 Curitiba, PR, Brazil., Silva MKC; Programa de Pós-Graduação em Ciências Florestais, Universidade Estadual do Centro-Oeste/UNICENTRO, PR 153, Km 7, 84500-000 Irati, PR, Brazil. |
| المصدر: |
Anais da Academia Brasileira de Ciencias [An Acad Bras Cienc] 2019 Dec 02; Vol. 91 (4), pp. e20190194. Date of Electronic Publication: 2019 Dec 02 (Print Publication: 2019). |
| نوع المنشور: |
Journal Article |
| اللغة: |
English |
| بيانات الدورية: |
Publisher: Academia Brasileira De Ciencias Country of Publication: Brazil NLM ID: 7503280 Publication Model: eCollection Cited Medium: Internet ISSN: 1678-2690 (Electronic) Linking ISSN: 00013765 NLM ISO Abbreviation: An Acad Bras Cienc Subsets: MEDLINE |
| أسماء مطبوعة: |
Original Publication: Rio De Janeiro : Academia Brasileira De Ciencias |
| مواضيع طبية MeSH: |
Biomass* , Forests* , Models, Statistical* , Wood*, Forestry/*methods |
| مستخلص: |
The lack of accurate models for estimating residual biomass in wood harvesting operations results in underutilization of this co-product by forestry companies. Due to the lack of this information, forestry operations planning, such as chipping and transport logistics, are influenced, with a consequent increase in costs. Thereby, the aim of this study was to propose and evaluate statistical models to estimate residual biomass of Eucalyptus sp. in wood harvesting operations by means of tree variables measured from harvester processing head. Generalized linear models were composed through stepwise procedure for estimating residual biomass by tree covariates: diameter at breast height, commercial height, commercial limit diameter, and stem commercial volume, considering also their transformations and combinations. Residual biomass distributions with positive skew support the application of generalized linear model and Gamma distribution in random component, since normality assumption in traditional linear regression was a requirement not satisfied in this study. By stepwise procedure, tree variables associated to forest biomass were selected, whose linear combinations resulted in models with high statistical efficiency and accuracy. Thus, models developed in this study are innovative tools to estimate residual biomass in mechanized wood harvesting, in which can be inserted into harvester's hardware to provide real-time information. |
| تواريخ الأحداث: |
Date Created: 20191205 Date Completed: 20200122 Latest Revision: 20200122 |
| رمز التحديث: |
20240628 |
| DOI: |
10.1590/0001-3765201920190194 |
| PMID: |
31800707 |
| قاعدة البيانات: |
MEDLINE |
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