<b>Multivariate technique for determination of soil pedoenvironmental indicators in Southern Amazonas
The use of statistical techniques to evaluate soil attribute behaviour is an important tool for choosing the most adequate form of soil management. Thus, the aim of this study was to jointly assess the physical and chemical attributes and the magnetic susceptibility characteristics of three environm...
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Format: | Article |
Language: | English |
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Eduem (Editora da Universidade Estadual de Maringá)
2017-01-01
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Series: | Acta Scientiarum: Agronomy |
Subjects: | |
Online Access: | https://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/30763 |
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author | Ivanildo Amorim de Oliveira José Marques Júnior Milton César Costa Campos Renato Eleoterio de Aquino Ludmila de Freitas Antônio Sérgio Ferraudo |
author_facet | Ivanildo Amorim de Oliveira José Marques Júnior Milton César Costa Campos Renato Eleoterio de Aquino Ludmila de Freitas Antônio Sérgio Ferraudo |
author_sort | Ivanildo Amorim de Oliveira |
collection | DOAJ |
description | The use of statistical techniques to evaluate soil attribute behaviour is an important tool for choosing the most adequate form of soil management. Thus, the aim of this study was to jointly assess the physical and chemical attributes and the magnetic susceptibility characteristics of three environments and to use multivariate statistics to define which attributes have the greatest potential as environmental change indicators. The study was conducted in three areas: one with archaeological black earth (and planted maize); one with pasture; and one of the forest. Sixty-four (64) deformed and non-deformed soil samples each were collected within these areas, with a 70 x 70 m grid spaced every 10 meters at depths of 0.0-0.2 and 0.4-0.6 m, to determine the chemical attributes (fertility), as well as the physical attributes (texture) and magnetic susceptibility. The data were analyzed through multivariate statistics. The archaeological dark earth areas have different behaviours between pastures and forests: chemical attributes have greater interaction in archaeological dark earth due to the high fertility of the anthropic horizons. The attributes that may indicate environmental changes are calcium, potential acidity and clay for archaeological dark earth, forest and pasture areas, respectively.
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first_indexed | 2024-12-24T00:52:07Z |
format | Article |
id | doaj.art-6a8730d6f21448128f2f4e45d798589c |
institution | Directory Open Access Journal |
issn | 1679-9275 1807-8621 |
language | English |
last_indexed | 2024-12-24T00:52:07Z |
publishDate | 2017-01-01 |
publisher | Eduem (Editora da Universidade Estadual de Maringá) |
record_format | Article |
series | Acta Scientiarum: Agronomy |
spelling | doaj.art-6a8730d6f21448128f2f4e45d798589c2022-12-21T17:23:33ZengEduem (Editora da Universidade Estadual de Maringá)Acta Scientiarum: Agronomy1679-92751807-86212017-01-0139110.4025/actasciagron.v39i1.3076314577<b>Multivariate technique for determination of soil pedoenvironmental indicators in Southern AmazonasIvanildo Amorim de Oliveira0José Marques Júnior1Milton César Costa Campos2Renato Eleoterio de Aquino3Ludmila de Freitas4Antônio Sérgio Ferraudo5Universidade Estadual Paulista "Júlio de Mesquita Filho"Universidade Estadual Paulista "Júlio de Mesquita Filho"Universidade Federal do AmazonasUniversidade Estadual Paulista "Júlio de Mesquita Filho"Universidade Estadual Paulista "Júlio de Mesquita Filho"Universidade Estadual Paulista "Júlio de Mesquita Filho"The use of statistical techniques to evaluate soil attribute behaviour is an important tool for choosing the most adequate form of soil management. Thus, the aim of this study was to jointly assess the physical and chemical attributes and the magnetic susceptibility characteristics of three environments and to use multivariate statistics to define which attributes have the greatest potential as environmental change indicators. The study was conducted in three areas: one with archaeological black earth (and planted maize); one with pasture; and one of the forest. Sixty-four (64) deformed and non-deformed soil samples each were collected within these areas, with a 70 x 70 m grid spaced every 10 meters at depths of 0.0-0.2 and 0.4-0.6 m, to determine the chemical attributes (fertility), as well as the physical attributes (texture) and magnetic susceptibility. The data were analyzed through multivariate statistics. The archaeological dark earth areas have different behaviours between pastures and forests: chemical attributes have greater interaction in archaeological dark earth due to the high fertility of the anthropic horizons. The attributes that may indicate environmental changes are calcium, potential acidity and clay for archaeological dark earth, forest and pasture areas, respectively. https://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/30763main componentAmazonianarchaeological dark earth |
spellingShingle | Ivanildo Amorim de Oliveira José Marques Júnior Milton César Costa Campos Renato Eleoterio de Aquino Ludmila de Freitas Antônio Sérgio Ferraudo <b>Multivariate technique for determination of soil pedoenvironmental indicators in Southern Amazonas Acta Scientiarum: Agronomy main component Amazonian archaeological dark earth |
title | <b>Multivariate technique for determination of soil pedoenvironmental indicators in Southern Amazonas |
title_full | <b>Multivariate technique for determination of soil pedoenvironmental indicators in Southern Amazonas |
title_fullStr | <b>Multivariate technique for determination of soil pedoenvironmental indicators in Southern Amazonas |
title_full_unstemmed | <b>Multivariate technique for determination of soil pedoenvironmental indicators in Southern Amazonas |
title_short | <b>Multivariate technique for determination of soil pedoenvironmental indicators in Southern Amazonas |
title_sort | b multivariate technique for determination of soil pedoenvironmental indicators in southern amazonas |
topic | main component Amazonian archaeological dark earth |
url | https://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/30763 |
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