Modeling Biomass and Nutrients in a Eucalyptus Stand in the Cerrado

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 vo...

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Main Authors: Marco B. X. Valadão, Karla M. S. Carneiro, Fabiana P. Ribeiro, Jonas Inkotte, Maísa I. Rodrigues, Thallita R. S. Mendes, Daniel A. Vieira, Renan A. M. Matias, Mirella B. O. Lima, Eder P. Miguel, Alcides Gatto
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Forests
Subjects:
Online Access:https://www.mdpi.com/1999-4907/11/10/1097
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spelling doaj-4a4ca9d408db40718e8f52db7f19b3042020-11-25T02:35:04ZengMDPI AGForests1999-49072020-10-01111097109710.3390/f11101097Modeling Biomass and Nutrients in a Eucalyptus Stand in the CerradoMarco B. X. Valadão0Karla M. S. Carneiro1Fabiana P. Ribeiro2Jonas Inkotte3Maísa I. Rodrigues4Thallita R. S. Mendes5Daniel A. Vieira6Renan A. M. Matias7Mirella B. O. Lima8Eder P. Miguel9Alcides Gatto10Department of Forest Sciences, Universidade de Brasília—UnB, Brasília 70904-970, DF, BrazilEcology and Conservation Department, Universidade do Estado do Mato Grosso—UNEMAT, Nova Xavantina 78690-000, MT, BrazilDepartment of Forest Sciences, Universidade de Brasília—UnB, Brasília 70904-970, DF, BrazilDepartment of Forest Sciences, Universidade de Brasília—UnB, Brasília 70904-970, DF, BrazilDepartment of Forest Sciences, Universidade de Brasília—UnB, Brasília 70904-970, DF, BrazilDepartment of Forest Sciences, Universidade de Brasília—UnB, Brasília 70904-970, DF, BrazilDepartment of Forest Sciences, Universidade de Brasília—UnB, Brasília 70904-970, DF, BrazilDepartment of Forest Sciences, Universidade de Brasília—UnB, Brasília 70904-970, DF, BrazilDepartment of Forest Engineering, Universidade Federal do Paraná—UFPR, Curitiba 80060-000, PR, BrazilDepartment of Forest Sciences, Universidade de Brasília—UnB, Brasília 70904-970, DF, BrazilDepartment of Forest Sciences, Universidade de Brasília—UnB, Brasília 70904-970, DF, BrazilThe 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.https://www.mdpi.com/1999-4907/11/10/1097non-linear modelSchumacher–Hall modelaerial biomassnutrient cycling
collection DOAJ
language English
format Article
sources DOAJ
author Marco B. X. Valadão
Karla M. S. Carneiro
Fabiana P. Ribeiro
Jonas Inkotte
Maísa I. Rodrigues
Thallita R. S. Mendes
Daniel A. Vieira
Renan A. M. Matias
Mirella B. O. Lima
Eder P. Miguel
Alcides Gatto
spellingShingle Marco B. X. Valadão
Karla M. S. Carneiro
Fabiana P. Ribeiro
Jonas Inkotte
Maísa I. Rodrigues
Thallita R. S. Mendes
Daniel A. Vieira
Renan A. M. Matias
Mirella B. O. Lima
Eder P. Miguel
Alcides Gatto
Modeling Biomass and Nutrients in a Eucalyptus Stand in the Cerrado
Forests
non-linear model
Schumacher–Hall model
aerial biomass
nutrient cycling
author_facet Marco B. X. Valadão
Karla M. S. Carneiro
Fabiana P. Ribeiro
Jonas Inkotte
Maísa I. Rodrigues
Thallita R. S. Mendes
Daniel A. Vieira
Renan A. M. Matias
Mirella B. O. Lima
Eder P. Miguel
Alcides Gatto
author_sort Marco B. X. Valadão
title Modeling Biomass and Nutrients in a Eucalyptus Stand in the Cerrado
title_short Modeling Biomass and Nutrients in a Eucalyptus Stand in the Cerrado
title_full Modeling Biomass and Nutrients in a Eucalyptus Stand in the Cerrado
title_fullStr Modeling Biomass and Nutrients in a Eucalyptus Stand in the Cerrado
title_full_unstemmed Modeling Biomass and Nutrients in a Eucalyptus Stand in the Cerrado
title_sort modeling biomass and nutrients in a eucalyptus stand in the cerrado
publisher MDPI AG
series Forests
issn 1999-4907
publishDate 2020-10-01
description 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.
topic non-linear model
Schumacher–Hall model
aerial biomass
nutrient cycling
url https://www.mdpi.com/1999-4907/11/10/1097
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