Integrating crop redistribution and improved management towards meeting China's food demand with lower environmental costs [0.03%]
整合作物重新分配和改进管理以较低的环境成本满足中国的粮食需求
Zihan Wang,Yulong Yin,Yingcheng Wang et al.
Zihan Wang et al.
China feeds 19.1% of the world's population with 8.6% of the arable land. Here we propose an integrated approach combining crop redistribution and improved management to meet China's food demand in 2030. We simulated the food demand, estima...
Bruce M Campbell,Philip K Thornton,Gerald C Nelson
Bruce M Campbell
Alejandro Parodi,Allyson F Ipema,Hannah H E Van Zanten et al.
Alejandro Parodi et al.
Annette L Cowie
Annette L Cowie
Published Erratum
Nature food. 2023 Mar;4(3):268. DOI:10.1038/s43016-023-00739-4 2023
Food research dichotomies [0.03%]
食物研究的二分法
Integrated multiomic wastewater-based epidemiology can elucidate population-level dietary behaviour and inform public health nutrition assessments [0.03%]
整合的多组学基于废水的流行病学可以阐明人群层面的饮食行为并为公共卫生营养评估提供信息
Devin A Bowes,Erin M Driver,Sonja Savic et al.
Devin A Bowes et al.
Population-level nutritional assessments often rely on self-reported data, which increases the risk of recall bias. Here, we demonstrate that wastewater-based epidemiology can be used for near real-time population dietary assessments. Neigh...
Cradle-to-grave emissions from food loss and waste represent half of total greenhouse gas emissions from food systems [0.03%]
从农田到餐桌食品损耗和浪费的温室气体排放占食品系统总排放量的一半左右
Jingyu Zhu,Zhenyi Luo,Tingting Sun et al.
Jingyu Zhu et al.
Global greenhouse gas (GHG) emissions from food loss and waste (FLW) are not well characterized from cradle to grave. Here GHG emissions due to FLW in supply chain and waste management systems are quantified, followed by an assessment of th...
Paul M Lohmann
Paul M Lohmann
Prajal Pradhan
Prajal Pradhan
Implications of US agricultural data practices for sustainable food systems research [0.03%]
美国农业数据实践对可持续食品系统研究的影响
Andrea Rissing,Emily K Burchfield,Kaitlyn A Spangler et al.
Andrea Rissing et al.
Using the tenets of data feminism, we analyse the National Agricultural Statistics Service Quick Stats database - the primary repository of United States agricultural data. We identify unstated assumptions built into the database's scaffold...