Modeling the individual height and volume of two integrated crop-livestock-forest systems of Eucalyptus spp. in the Brazilian Savannah



Document title: Modeling the individual height and volume of two integrated crop-livestock-forest systems of Eucalyptus spp. in the Brazilian Savannah
Journal: Acta scientiarum. Agronomy
Database: PERIÓDICA
System number: 000460085
ISSN: 1679-9275
Authors: 1
2
3
2
3
4
Institutions: 1Universidade Estadual de Maringa, Maringa, Parana. Brasil
2Universidade Estadual de Mato Grosso do Sul, Aquidauana, Mato Grosso do Sul. Brasil
3Empresa Brasileira de Pesquisa Agropecuaria, Gado de Corte, Campo Grande, Mato Grosso do Sul. Brasil
4Universidade Estadual de Maringa, Departamento de Matematica, Maringa, Parana. Brasil
Year:
Volumen: 41
Country: Brasil
Language: Inglés
Document type: Artículo
Approach: Analítico, descriptivo
English abstract The aim of this study was to model the individual height and volume of eucalyptus wood in two integrated crop-livestock-forest systems (ICLF1 and ICLF2) in Campo Grande, a city in the state of Mato Grosso do Sul, Brazil. Classic nonlinear growth models were adjusted for height (Logistic, Gompertz, Richards, Weibull, Van Bertalanffy, Brody, Mitscherlich, and Chapman and Richards) and volume (Shumacher-hall nonlinear, Takata, Honner, Logistic, Gompertz, and Weibull) in two structural arrangements: ICLF1, with a spacing of 14 x 2 m and density of 357 trees ha-1, and ICLF2, with a spacing of 22 x 2 m and density of 227 trees ha-1. Diameter at Breast Height (DBH) measurements were performed in 100% of trees, with measurements of the total height of some individuals and a rigorous scaling procedure in diameter classes. According to the calculated value of Student's t-test, there was no significant evidence that DBH and the average height of the trees were different between ICLF1 and ICLF2. Based on the Akaike information criterion (AIC), the corrected Akaike information criterion (AICC) and the Bayesian information criterion (BIC), the Richards model was selected to estimate heights and the Takata model was selected to estimate the volume
Disciplines: Agrociencias,
Medicina veterinaria y zootecnia
Keyword: Fitotecnia,
Zootecnia,
Sistemas agroforestales,
Análisis estadístico,
Modelos no lineales,
Ecuaciones volumétricas,
Ecuaciones hipsométricas
Keyword: Crop husbandry,
Animal husbandry,
Statistical analysis,
Nonlinear models,
Volumetric equations,
Hypsometric equations,
Agroforestry systems
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