98%
921
2 minutes
20
Livestock production is greenhouse gas (GHG) emission intensive, and thus the increasing international trade of livestock products in recent decades has resulted in increased embodied emissions. Considering the varying emission intensity in production in different countries and the expected further increase in livestock product trade in the future, it becomes crucial to understand the spatial and temporal dynamics of such embodied GHG emissions for climate change mitigation in the livestock sector. In this study, we aimed to address such gaps and analyzed the spatiotemporal patterns and network characteristics of GHG emissions embodied in the international trade of seven major categories of livestock products among 228 world economies during 1986-2017. The results showed that the total volume of GHG emissions embodied in livestock product trade reached 92.0 MT in 2017, accounting for 2.6% of the total emissions from livestock production. Sheep meat has replaced cattle meat as the major contributor to embodied emissions. In 2017, the largest flows of embodied emissions were within Europe, followed by the flows from Oceania to Asia. The fluxes in intra-upper middle and intra-high-income economies accounted for most of the total embodied emissions. Although the global average emission intensity of livestock production declined in these four decades, the trade flows from high to low emission intensity economies increased, especially for cattle and sheep meat. This resulted in an overall increase of contribution from the global livestock trade in GHG emissions from the global livestock sector. Therefore, effective measures and policies must be designed from both consumption and production perspectives to ensure proper accounting of these embodied emissions and maximize the reduction potential for a sustainable food system transition.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.jenvman.2022.116128 | DOI Listing |
Patterns (N Y)
July 2025
Harvard University, Cambridge, MA, USA.
This article presents a holistic research agenda to address the significant environmental impact of information and communication technology (ICT), which accounts for 2.1%-3.9% of global greenhouse gas emissions.
View Article and Find Full Text PDFNat Commun
September 2025
Boston University Institute for Global Sustainability, Boston, MA, USA.
Industrial decarbonization refers to the removal or reduction of greenhouse gas emissions, process emissions, or embodied carbon from industry. Building from our experiences working with communities contemplating industrial decarbonization projects, we argue that community-based research can move nebulous calls for "community engagement" to processes that emphasize just and equitable governance. We first summarize the co-benefits and risks of industrial decarbonization for historically marginalized communities.
View Article and Find Full Text PDFArchit Struct Constr
September 2025
Department of Architecture and Civil Engineering, University of Bath, Bath, UK.
The construction sector faces the daunting task of meeting growing construction demand with a 'zero-emission resource pool'-materials that are compatible with a near-future zero-emissions economy. Most decarbonisation roadmaps and scenario analyses for the sector depend heavily on high-risk technologies such as carbon storage that have not yet been deployed at significant scale, or favour recycling whilst overlooking likely constraints from limited supplies of zero-emissions electricity. This paper therefore provides a first critical review of options to supply construction materials in the UK with realistic expectations about the availability of carbon storage, zero-emissions electricity and zero-emissions transport.
View Article and Find Full Text PDFJ Environ Manage
August 2025
Department of Environmental and Resource Engineering, Technical University of Denmark, Kongens, Lyngby, Denmark.
Urban communities are fundamental units in addressing carbon mitigation, yet the patterns of carbon metabolism remain largely unexplored due to limited data and less-integrated methods. This study unveils the carbon metabolism dynamics of a Chinese mixed-function community from 2013 to 2022 by integrating bottom-up carbon accounting, spatiotemporal analysis, and ecological network analysis (ENA). We investigate carbon stocks and flows, sectoral characteristics, and intersectoral interactions at a refined spatial level in the 1.
View Article and Find Full Text PDFEcotoxicol Environ Saf
August 2025
Key Laboratory of Urban Air Particulate Pollution Prevention and Control of Ministry of Ecology and Environment, College of Environmental Science and Engineering, Nankai University, Tianjin 300350, China; CMA-NKU Cooperative Laboratory for Atmospheric Environment-Health Research, Tianjin 300350, Chi
Research on the spatial pattern of PM pollution has achieved progress recently, but there are still shortcomings in the effects of macro socioeconomic factors and regional connectivity of PM emissions. To address these issues, our study followed an analytical framework integrating empirical orthogonal function, Morlet wavelet analysis, time series decomposition, back propagation neural network, geographical detector and social network analysis. This framework was applied to a dataset embodying PM, meteorology and socioeconomics over seven years (2015-2021) across 279 cities of mainland China.
View Article and Find Full Text PDF