Literature DB >> 17129942

A comparison of greenhouse gas emissions from inputs into farm enterprises in southeast Queensland, Australia.

Tek N Maraseni1, Geoff Cockfield, Armando Apan.   

Abstract

One of the assumptions underlying efforts to convert cropping land, especially marginal crop land, to plantations is that there will be a net reduction in greenhouse gas emissions, with a gas "sink" replacing a high energy system in which the breakdown of biomass is routinely accelerated to prepare for new crops. This research, based on case studies in Kingaroy in southeast Queensland, compares the amount of greenhouse gas (GHGs) emissions from a peanut/maize crop rotation, a pasture system for beef production and a spotted gum (Corymbia citriodora) timber plantation. Three production inputs, fuel, farm machinery and agrochemicals (fertilizer, pesticides and herbicides) are considered. The study extends beyond the farm gate to include packing and transportation and the time period is 30 years. The results suggest that replacing the crops with plantations would indeed reduce emissions but that a pasture system would have even lower net emissions. These findings cast some doubt on the case for farm forestry as a relatively effective means of ameliorating greenhouse gas emissions.

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Year:  2007        PMID: 17129942     DOI: 10.1080/10934520601015354

Source DB:  PubMed          Journal:  J Environ Sci Health A Tox Hazard Subst Environ Eng        ISSN: 1093-4529            Impact factor:   2.269


  2 in total

1.  Dynamism of household carbon emissions (HCEs) from rural and urban regions of northern and southern China.

Authors:  Tek Narayan Maraseni; Jiansheng Qu; Bian Yue; Jingjing Zeng; Jerry Maroulis
Journal:  Environ Sci Pollut Res Int       Date:  2016-07-27       Impact factor: 4.223

2.  Interannual variation in carbon sequestration depends mainly on the carbon uptake period in two croplands on the North China Plain.

Authors:  Xueyan Bao; Xuefa Wen; Xiaomin Sun; Fenghua Zhao; Yuying Wang
Journal:  PLoS One       Date:  2014-10-14       Impact factor: 3.240

  2 in total

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