Rapid economic development and population growth have driven significant greenhouse gas (GHG) emissions from China's crop farming. Understanding specific features of these emissions is crucial for developing effective mitigation strategies. While existing studies primarily focused on accounting for GHG emissions at the entire crop farming system level, a critical gap exists in systematic measurements at individual crop level. This study addresses this gap by constructing a high-resolution China's provincial crop-specific embodied GHG emission inventory for years 2007, 2010, 2012, 2015, and 2017. The inventory quantifies embodied GHG emissions per unit yield and per unit area for 28 staple crops across 30 Chinese provinces, providing insights into status and structure of emissions across diverse crops and regions. The results demonstrate significant disparities in crop-specific embodied GHG emissions, with grain crops exhibiting higher emissions than cash crops-1.51 times greater per unit area and 0.86 times greater per unit yield on average. This dataset offers information for formulating effective emission mitigation strategies for crop farming in China.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1038/s41597-025-04717-2 | DOI Listing |
Eur J Nutr
March 2025
National Institute for Public Health and the Environment, Bilthoven, The Netherlands.
Purpose: Nutri-Score aims to aid consumers in making informed food choices based on nutritional quality. To guide consumers regarding both the nutritional quality and environmental impact of foods, it would be beneficial when Nutri-Score could also discriminate foods by environmental impact. This study investigated the association of Nutri-Score with the environmental impact indicators greenhouse gas (GHG) emissions and blue water consumption.
View Article and Find Full Text PDFEnviron Sci Technol
March 2025
Robert Frederick Smith School of Chemical and Biomolecular Engineering, Cornell University, Ithaca, New York 14853, United States.
Lithium is a critical material for the energy transition, but its mining causes significant environmental impacts that will intensify due to surging global demand. Here, we conduct a mining site-specific environmental impact assessment of lithium on a global scale, focusing on greenhouse gas (GHG) emissions, water use, and land use. We then track the production and international trade flows of all lithium-containing commodities to assess how lithium mining impacts are distributed across global supply chains.
View Article and Find Full Text PDFEcol Appl
March 2025
Institute of Ecology and Evolution, University of Oregon, Eugene, Oregon, USA.
There is substantial interest in restoring tidal wetlands because of their high rates of long-term soil carbon sequestration and other valued ecosystem services. However, these wetlands are sometimes net sources of greenhouse gases (GHG) that may offset their climate cooling potential. GHG fluxes vary widely within and across tidal wetlands, so it is essential to better understand how key environmental drivers, and importantly, land management, affect GHG dynamics.
View Article and Find Full Text PDFSci Data
March 2025
College of Management, Shenzhen University, Shenzhen, 518060, China.
Rapid economic development and population growth have driven significant greenhouse gas (GHG) emissions from China's crop farming. Understanding specific features of these emissions is crucial for developing effective mitigation strategies. While existing studies primarily focused on accounting for GHG emissions at the entire crop farming system level, a critical gap exists in systematic measurements at individual crop level.
View Article and Find Full Text PDFWater Res
January 2025
PROSYS Research Center, Department of Chemical and Biochemical Engineering, Technical University of Denmark, Søltofts Plads Building 228A, Kgs. Lyngby 2800, Denmark.
In this paper, a set of mathematical tools are developed and assembled to quantify, predict and virtually assess NO emission mitigation strategies in partial nitritation (PN) / anammox (ANX) granular based reactors. The proposed approach is constructed upon a set of data pre-treatment methods, process simulation models, control tools (and algorithms) and key performance indicators to analyze, reproduce, and forecast the behavior of multiple operational variables within aerobic granular sludge systems. All these elements are tested on two full-scale data sets (#D1, #D2) collected over a period of four months (Sept-Dec 2023).
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!