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Showing 1–8 of 8 results
Advanced filters: Author: F. N. Tubiello Clear advanced filters
  • Data on GHG emissions from the food system are mostly scattered across sectors and remain unavailable in many countries. EDGAR-FOOD, a globally consistent food emission database, brings together emissions from food-related land use and land-use change, production, processing, distribution, consumption and residues over 1990–2015 at country level.

    • M. Crippa
    • E. Solazzo
    • A. Leip
    Research
    Nature Food
    Volume: 2, P: 198-209
  • Bottom-up and top-down approaches are used to quantify global nitrous oxide sources and sinks resulting from both natural and anthropogenic sources, revealing a 30% increase in global human-induced emissions between 1980 and 2016.

    • Hanqin Tian
    • Rongting Xu
    • Yuanzhi Yao
    Research
    Nature
    Volume: 586, P: 248-256
  • Estimating the global cropland N2O mitigation potential is limited by the uncertainty and variability of direct emission factors (EFs). Here, using a data-driven approach with 1,507 chamber-based field observations of EFs, the study shows that EF variation is primarily driven by climatic and edaphic factors. Two-thirds of the mitigation potential could be achieved on one-fifth of the global harvested area, mainly located in humid subtropical climates and across gleysols and acrisols.

    • Xiaoqing Cui
    • Feng Zhou
    • Dongqiang Zhu
    Research
    Nature Food
    Volume: 2, P: 886-893
  • Existing datasets of nitrogen (N) balance in agriculture are often discrepant. Comparing 13 of them regarding five metrics (fertilizer application, manure application, biological N fixation, atmospheric deposition, and N harvested as crop products) over 1961–2015 reveals why. Recommendations for improving N quantification and an N budget benchmark dataset are also proposed.

    • Xin Zhang
    • Tan Zou
    • Eric A. Davidson
    Research
    Nature Food
    Volume: 2, P: 529-540
  • Understanding of the effects of elevated CO2 on crops has improved sufficiently that modelling future climatic effects on agriculture should eliminate ‘no CO2’ simulations. Further advancement in the estimation of the effects can be realized by studying a wider variety of crop species under a wider range of growing conditions, improving the representation of responses to climate extremes in crop models and simulating additional crop physiological processes related to nutritional quality.

    • Andrea Toreti
    • Delphine Deryng
    • Cynthia Rosenzweig
    Reviews
    Nature Food
    Volume: 1, P: 775-782