Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1016/j.gloenvcha.2020.102067 |
Spatially-explicit footprints of agricultural commodities: Mapping carbon emissions embodied in Brazil's soy exports | |
Escobar, Neus1,2; Tizado, E. Jorge3; zu Ermgassen, Erasmus K. H. J.4,5; Loefgren, Pernilla6; Boerner, Jan1,2; Godar, Javier6 | |
2020-05-01 | |
发表期刊 | GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS |
ISSN | 0959-3780 |
EISSN | 1872-9495 |
出版年 | 2020 |
卷号 | 62 |
文章类型 | Article |
语种 | 英语 |
国家 | Germany; Spain; Belgium; Sweden |
英文摘要 | Reliable estimates of carbon and other environmental footprints of agricultural commodities require capturing a large diversity of conditions along global supply chains. Life Cycle Assessment (LCA) faces limitations when it comes to addressing spatial and temporal variability in production, transportation and manufacturing systems. We present a bottom-up approach for quantifying the greenhouse gas (GHG) emissions embedded in the production and trade of agricultural products with a high spatial resolution, by means of the integration of LCA principles with enhanced physical trade flow analysis. Our approach estimates the carbon footprint (as tonnes of carbon dioxide equivalents per tonne of product) of Brazilian soy exports over the period 2010-2015 based on similar to 90,000 individual traded flows of beans, oil and protein cake identified from the municipality of origin through international markets. Soy is the most traded agricultural commodity in the world and the main agricultural export crop in Brazil, where it is associated with significant environmental impacts. We detect an extremely large spatial variability in carbon emissions across sourcing areas, countries of import, and sub-stages throughout the supply chain. The largest carbon footprints are associated with municipalities across the MATOPIBA states and Path, where soy is directly linked to natural vegetation loss. Importing soy from the aforementioned states entailed up to six times greater emissions per unit of product than the Brazilian average (0.69 t t(-1)). The European Union (EU) had the largest carbon footprint (0.77 t t(-1)) due to a larger share of emissions from embodied deforestation than for instance in China (0.67 t t(-1)), the largest soy importer. Total GHG emissions from Brazilian soy exports in 2010-2015 are estimated at 223.46 Mt, of which more than half were imported by China although the EU imported greater emissions from deforestation in absolute terms. Our approach contributes data for enhanced environmental stewardship across supply chains at the local, regional, national and international scales, while informing the debate on global responsibility for the impacts of agricultural production and trade. |
英文关键词 | Carbon footprint Deforestation Greenhouse gas International trade Life cycle assessment Supply chain |
领域 | 气候变化 |
收录类别 | SCI-E ; SSCI |
WOS记录号 | WOS:000536128000008 |
WOS关键词 | LIFE-CYCLE ASSESSMENT ; LAND-USE CHANGE ; ENVIRONMENTAL IMPACTS ; INTERNATIONAL-TRADE ; ASSESSMENT LCA ; DEFORESTATION ; WATER ; POLICY ; CONSUMPTION ; CHALLENGES |
WOS类目 | Environmental Sciences ; Environmental Studies ; Geography |
WOS研究方向 | Environmental Sciences & Ecology ; Geography |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/279981 |
专题 | 气候变化 |
作者单位 | 1.Univ Bonn, Inst Food & Resource Econ ILR, Nussalle 19, D-53115 Bonn, Germany; 2.Univ Bonn, Ctr Dev Res ZEF, Bonn, Germany; 3.Univ Leon, Dept Biodivers & Environm Management, Leon, Spain; 4.UCLouvain, Earth & Life Inst, Louvain La Neuve, Belgium; 5.Fonds Rech Sci FRS FNRS, Brussels, Belgium; 6.Stockholm Environm Inst, Stockholm, Sweden |
推荐引用方式 GB/T 7714 | Escobar, Neus,Tizado, E. Jorge,zu Ermgassen, Erasmus K. H. J.,et al. Spatially-explicit footprints of agricultural commodities: Mapping carbon emissions embodied in Brazil's soy exports[J]. GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS,2020,62. |
APA | Escobar, Neus,Tizado, E. Jorge,zu Ermgassen, Erasmus K. H. J.,Loefgren, Pernilla,Boerner, Jan,&Godar, Javier.(2020).Spatially-explicit footprints of agricultural commodities: Mapping carbon emissions embodied in Brazil's soy exports.GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS,62. |
MLA | Escobar, Neus,et al."Spatially-explicit footprints of agricultural commodities: Mapping carbon emissions embodied in Brazil's soy exports".GLOBAL ENVIRONMENTAL CHANGE-HUMAN AND POLICY DIMENSIONS 62(2020). |
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