Relação entre indicadores de qualidade de solo sob diferentes sistemas de manejo

التفاصيل البيبلوغرافية
العنوان: Relação entre indicadores de qualidade de solo sob diferentes sistemas de manejo
المؤلفون: Miranda, Alexandre Amadeu Cerqueira de
المساهمون: Barbosa, Alex da Silva
المصدر: Biblioteca Digital de Teses e Dissertações da UFPB
Universidade Federal da Paraíba (UFPB)
instacron:UFPB
بيانات النشر: Universidade Federal da Paraíba, 2018.
سنة النشر: 2018
مصطلحات موضوعية: Bioindicadores, Saúde do solo, Respiração Basal, Mudança de Uso do Solo, CIENCIAS AGRARIAS [CNPQ]
الوصف: The changes in soil use associated to the management system have provided changes in soil ecosystem dynamics. Bioindicators are biological properties or processes within the soil that indicate the state of this ecosystem, and can be used in soil quality biomonitoring. Soil respiration occupies a key position in the carbon cycle of terrestrial ecosystems and is an excellent indicator of quality. Another important technique that can be used is Pfeiffer's circular chromatography. This reveals the vitality of the soil that manifests itself in its fullness through the primary and secondary metabolism of minerals by the enzymatic and dynamic activity of organic matter. Studies of this nature are important because they can provide a set of minimum data that can serve as reference for monitoring, evaluation and selection of soil quality indicators in different cropping and soil management systems. The objective of the research was to analyze the efflux of CO2 and the chemical, biological attributes of the soil in areas with different forms of use in the Municipality of Bananeiras, PB. For that, 5 environments with different use forms were selected. Basal respiration was performed monthly from July to December 2017. Changes in biological and quinic characteristics were evaluated using Pfeiffer's circular chromatography and chemical fertility analysis. The effects of the five soil use systems on their chemical and biological characteristics over time were evaluated using several statistical models: generalized least squares (GLS), logistic regression. The canonical correlation analysis (CCA) was used to study the relationship between the variables analyzed. The data collected during the period from July to December showed significant differences (p
اللغة: Portuguese
URL الوصول: https://explore.openaire.eu/search/publication?articleId=od______3056::5b77ea962c0042024d373994850126a8
https://repositorio.ufpb.br/jspui/handle/123456789/18083
حقوق: OPEN
رقم الأكسشن: edsair.od......3056..5b77ea962c0042024d373994850126a8
قاعدة البيانات: OpenAIRE