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Title: Attributing land-use change carbon emissions to exported biomass

Abstract

In this study, a simple, transparent and robust method is developed in which land-use change (LUC) emissions are retrospectively attributed to exported biomass products based on the agricultural area occupied for the production. LUC emissions account for approximately one-fifth of current greenhouse gas emissions. Increasing agricultural exports are becoming an important driver of deforestation. Brazil and Indonesia are used as case studies due to their significant deforestation in recent years. According to our study, in 2007, approximately 32% and 15% of the total agricultural land harvested and LUC emissions in Brazil and Indonesia respectively were due to exports. The most important exported single items with regard to deforestation were palm oil for Indonesia and bovine meat for Brazil. To reduce greenhouse gas (GHG) emissions effectively worldwide, leakage of emissions should be avoided. This can be done, for example, by attributing embodied LUC emissions to exported biomass products. With the approach developed in this study, controversial attribution between direct and indirect LUC and amortization of emissions over the product life cycle can be overcome, as the method operates on an average basis and annual level. The approach could be considered in the context of the UNFCCC climate policy instead of, ormore » alongside with, other instruments aimed at reducing deforestation. However, the quality of the data should be improved and some methodological issues, such as the allocation procedure in multiproduct systems and the possible dilution effect through third parties not committed to emission reduction targets, should be considered. - Highlights: Black-Right-Pointing-Pointer CO{sub 2} emissions from land use changes are highly important. Black-Right-Pointing-Pointer Attribution of land use changes for products is difficult. Black-Right-Pointing-Pointer Simple and robust method is developed to attribute land use change emissions.« less

Authors:
 [1];  [2];  [2]
  1. University of Helsinki, P.O Box 65, 00014 University of Helsinki (Finland)
  2. VTT Technical Research Centre of Finland, P.O. Box 1000, 02044 VTT (Finland)
Publication Date:
OSTI Identifier:
22131069
Resource Type:
Journal Article
Journal Name:
Environmental Impact Assessment Review
Additional Journal Information:
Journal Volume: 37; Other Information: Copyright (c) 2012 Elsevier Science B.V., Amsterdam, The Netherlands, All rights reserved.; Country of input: International Atomic Energy Agency (IAEA); Journal ID: ISSN 0195-9255
Country of Publication:
United States
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; AIR POLLUTION ABATEMENT; AMORTIZATION; BIOFUELS; BIOMASS; BRAZIL; CARBON DIOXIDE; CATTLE; DEFORESTATION; ENERGY POLICY; ENVIRONMENTAL POLICY; EXPORTS; GREENHOUSE GASES; INDONESIA; LAND USE; LIFE CYCLE; PALM OIL

Citation Formats

Saikku, Laura, E-mail: laura.saikku@helsinki.fi, Soimakallio, Sampo, E-mail: sampo.soimakallio@vtt.fi, and Pingoud, Kim, E-mail: kim.pingoud@vtt.fi. Attributing land-use change carbon emissions to exported biomass. United States: N. p., 2012. Web. doi:10.1016/J.EIAR.2012.03.006.
Saikku, Laura, E-mail: laura.saikku@helsinki.fi, Soimakallio, Sampo, E-mail: sampo.soimakallio@vtt.fi, & Pingoud, Kim, E-mail: kim.pingoud@vtt.fi. Attributing land-use change carbon emissions to exported biomass. United States. doi:10.1016/J.EIAR.2012.03.006.
Saikku, Laura, E-mail: laura.saikku@helsinki.fi, Soimakallio, Sampo, E-mail: sampo.soimakallio@vtt.fi, and Pingoud, Kim, E-mail: kim.pingoud@vtt.fi. Thu . "Attributing land-use change carbon emissions to exported biomass". United States. doi:10.1016/J.EIAR.2012.03.006.
@article{osti_22131069,
title = {Attributing land-use change carbon emissions to exported biomass},
author = {Saikku, Laura, E-mail: laura.saikku@helsinki.fi and Soimakallio, Sampo, E-mail: sampo.soimakallio@vtt.fi and Pingoud, Kim, E-mail: kim.pingoud@vtt.fi},
abstractNote = {In this study, a simple, transparent and robust method is developed in which land-use change (LUC) emissions are retrospectively attributed to exported biomass products based on the agricultural area occupied for the production. LUC emissions account for approximately one-fifth of current greenhouse gas emissions. Increasing agricultural exports are becoming an important driver of deforestation. Brazil and Indonesia are used as case studies due to their significant deforestation in recent years. According to our study, in 2007, approximately 32% and 15% of the total agricultural land harvested and LUC emissions in Brazil and Indonesia respectively were due to exports. The most important exported single items with regard to deforestation were palm oil for Indonesia and bovine meat for Brazil. To reduce greenhouse gas (GHG) emissions effectively worldwide, leakage of emissions should be avoided. This can be done, for example, by attributing embodied LUC emissions to exported biomass products. With the approach developed in this study, controversial attribution between direct and indirect LUC and amortization of emissions over the product life cycle can be overcome, as the method operates on an average basis and annual level. The approach could be considered in the context of the UNFCCC climate policy instead of, or alongside with, other instruments aimed at reducing deforestation. However, the quality of the data should be improved and some methodological issues, such as the allocation procedure in multiproduct systems and the possible dilution effect through third parties not committed to emission reduction targets, should be considered. - Highlights: Black-Right-Pointing-Pointer CO{sub 2} emissions from land use changes are highly important. Black-Right-Pointing-Pointer Attribution of land use changes for products is difficult. Black-Right-Pointing-Pointer Simple and robust method is developed to attribute land use change emissions.},
doi = {10.1016/J.EIAR.2012.03.006},
journal = {Environmental Impact Assessment Review},
issn = {0195-9255},
number = ,
volume = 37,
place = {United States},
year = {2012},
month = {11}
}