Affiliations 

  • 1 Department of Environmental Sciences, Faculty of Environmental Studies, Universiti Putra Malaysia UPM, 43400, Serdang, Malaysia. [email protected]
  • 2 Department of Environmental Sciences, Faculty of Environmental Studies, Universiti Putra Malaysia UPM, 43400, Serdang, Malaysia
  • 3 SEGi University, Kota Damansara, 47810, Petaling Jaya, Selangor, Malaysia
Environ Sci Pollut Res Int, 2017 Feb;24(6):5293-5304.
PMID: 28004372 DOI: 10.1007/s11356-016-8270-0

Abstract

The environmental impacts with regard to agro-based biofuel production have been associated with the impact of greenhouse gas (GHG) emissions. In this study, field GHG emissions during plantation stage of palm oil-based biofuel production associated with land use changes for oil palm plantation development have been evaluated. Three different sites of different land use changes prior to oil palm plantation were chosen; converted land-use (large and small-scales) and logged-over forest. Field sampling for determination of soil N-mineralisation and soil organic carbon (SOC) was undertaken at the sites according to the age of palm, i.e. <5 years (immature), 5-20 and >21 years (mature oil palms). The field data were incorporated into the estimation of nitrous oxide (N2O) and the resulting CO2-eq emissions as well as for estimation of carbon stock changes. Irrespective of the land conversion scenarios, the nitrous oxide emissions were found in the range of 6.47-7.78 kg N2O-N/ha resulting in 498-590 kg CO2-eq/ha. On the other hand, the conversion of tropical forest into oil palm plantation has resulted in relatively higher GHG emissions (i.e. four times higher and carbon stock reduction by >50%) compared to converted land use (converted rubber plantation) for oil palm development. The conversion from previously rubber plantation into oil palm plantation would increase the carbon savings (20% in increase) thus sustaining the environmental benefits from the palm oil-based biofuel production.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.