Modeling approaches for agricultural N2O fluxes from large scale areas: A case for sugarcane crops in the state of São Paulo - Brazil
Marcelo Eduardo Dias de Oliveira and
Sergio Oliveira Moraes
Agricultural Systems, 2017, vol. 150, issue C, 1-11
Abstract:
Anthropogenic greenhouse gas (GHG) emissions and climate change are issues that currently receive a great deal of attention, both from society and the scientific community. Combustion of fossil fuels is considered the main reason for the increasing concentrations of GHG in the atmosphere and therefore, the main cause of climate change. In such context, biofuels are usually presented as an energy source that considerably reduces GHG emissions when compared to the use of fossil fuels. However, some issues of biofuel production such as the emissions associated with both change in land use and the use of nitrogen fertilizers are still under scrutiny. The focus of this study is related to N2O soil emissions associated with sugarcane ethanol production in Brazil. Signatory countries of the United Nation's Framework Convention on Climate Change (UNFCCC) are required to prepare and periodically update an inventory of GHG emissions and sinks. The International Panel of Climate Change (IPCC), through the Agriculture, Forest and Other Land Use (AFOLU), establishes guidelines to calculate N2O soil emissions on three different levels, or tiers. The simplest Tier 1 uses few equations and default emissions factors. The most elaborated, Tier 3, uses computation modeling, field measurements and Geographic Information Systems (GIS). This study proposes using the limited data available, procedures for Tier 3 estimates of N2O soil emissions in sugarcane crops in the state of São Paulo - Brazil. It also compares N2O sugarcane emissions calculated by Tier 1 and Tier 3 methods. Results show that in most cases the difference in results from Tier 1 and Tier 3 methods are beyond the error margin of the Brazilian Inventory.
Keywords: Nitrous oxide; Climate change; IPCC; Ethanol fuel; Sugarcane (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0308521X16305625
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:agisys:v:150:y:2017:i:c:p:1-11
DOI: 10.1016/j.agsy.2016.09.015
Access Statistics for this article
Agricultural Systems is currently edited by J.W. Hansen, P.K. Thornton and P.B.M. Berentsen
More articles in Agricultural Systems from Elsevier
Bibliographic data for series maintained by Catherine Liu ().