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Fractogram of soil greenhouse gases emission in a sugarcane area in different directions

Grant number: 13/00360-7
Support type:Scholarships in Brazil - Doctorate
Effective date (Start): July 01, 2013
Effective date (End): January 31, 2016
Field of knowledge:Agronomical Sciences - Agronomy - Soil Science
Principal researcher:Newton La Scala Júnior
Grantee:Elton da Silva Bicalho
Home Institution: Faculdade de Ciências Agrárias e Veterinárias (FCAV). Universidade Estadual Paulista (UNESP). Campus de Jaboticabal. Jaboticabal , SP, Brazil
Associated scholarship(s):13/24926-0 - Fractal dimension and anisotropy of greenhouse gases emission and soil attributes in a sugarcane area, BE.EP.DR


Atmospheric concentrations of greenhouse gases (GHG), especially CO2, CH4 and N2O have increased since the beginning of the industrial age, which can be attributed mainly to human activities related to the burning of fossil fuels, land use changes and agricultural practices. The aim of this project is to determine the structure of spatial variability of soil CO2, CH4 and N2O emissions and their fractal dimension in different scales and directions, relating it to the physical and chemical soil properties in a mechanically harvested sugarcane production area. Measurements of GHG and soil sampling will be conducted in a grid of 50 × 50 m, containing 133 points arranged symmetrically. From the orientation of the grid in relation to the crop row and direction of the soil tillage, it is expected to characterize the anisotropy, determined by crop management practices, and the relationship of GHG with other soil properties. Initially the variability of the dataset will be analyzed using descriptive statistics, and subsequently calculated the fractal dimension derived from experimental variograms for the different directions and scales of all attributes studied. This characterization derives the fractogram which indicates the structure of spatial variability and its anisotropy in different directions along the grid in the studied area. Moreover, a principal component analysis will be applied to dataset to help us characterize the anisotropy, and a multiple regression analysis will be applied to aid the modeling of variability.

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Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
BICALHO, ELTON DA SILVA; MOITINHO, MARA REGINA; TEIXEIRA, DANIEL DE BORTOLI; PANOSSO, ALAN RODRIGO; SPOKAS, KURT ARNOLD; LA SCALA, JR., NEWTON. Soil Greenhouse Gases: Relations to Soil Attributes in a Sugarcane Production Area. Soil Science Society of America Journal, v. 81, n. 5, p. 1168-1178, SEP-OCT 2017. Web of Science Citations: 3.
Academic Publications
(References retrieved automatically from State of São Paulo Research Institutions)
BICALHO, Elton da Silva. Soil greenhouse gas emissions and their relations to soil attributes in a sugarcane area. 2016. Doctoral Thesis - Universidade Estadual Paulista "Júlio de Mesquita Filho" Faculdade de Ciências Agrárias e Veterinárias..

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