Skip navigation
Please use this identifier to cite or link to this item:
Files in This Item:
File Description SizeFormat 
ARTIGO_ModelingBiomassNutrients.pdf3,75 MBAdobe PDFView/Open
Title: Modeling biomass and nutrients in a eucalyptus stand in the cerrado
Authors: Valadão, Marco Bruno Xavier
Carneiro, Karla M. S.
Ribeiro, Fabiana Piontekowski
Inkotte, Jonas
Rodrigues, Maísa Isabela
Mendes, Thallita R. S.
Vieira, Daniel Alves
Matias, Renan Augusto Miranda
Lima, Mirella Basileu de Oliveira
Miguel, Eder Pereira
Gatto, Alcides
Assunto:: Modelos matemáticos
Ciclagem de nutrientes
Issue Date: 16-Oct-2020
Publisher: MDPI
Citation: VALADÃO, Marco B. X. et al. Modeling biomass and nutrients in a eucalyptus stand in the cerrado. Forests, v. 11, n. 10, 1097, 2020. DOI: Disponível em: Acesso em: 12 jan. 2021.
Abstract: The prediction of biological processes, which involve growth and plant development, is possible via the adjustment of mathematical models. In forest areas, these models assist in management practices, silviculture, harvesting, and soil fertility. Diameter, basal area, and height are predictors of volume and biomass estimates in forest stands. This study utilized different non-linear models for estimating biomass and nutrient values in the aerial biomass and roots of an unmanaged eucalypt stand in Cerrado dystrophic soil. It was hypothesized that the models would estimate the nutrients of the aboveground biomass and roots after meeting the selection and validation criteria. By statistical analysis of the parameters and subsequent validation, the Schumacher–Hall model was presented to be the best fit for biomass and nutrients. This result confirmed the ability of different variables, including diameter, basal area, and height, to be predicted. Estimating the nutrient values in the aboveground biomass and roots allowed a better understanding of the quality of the vegetal residues that remained in the soil. For dystrophic soils, which occur in the Cerrado, these estimates become even more relevant.
Licença:: © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (
Appears in Collections:EFL - Artigos publicados em periódicos

Show full item record Recommend this item " class="statisticsLink btn btn-primary" href="/handle/10482/39892/statistics">

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.