A comprehensive quantification of global nitrous oxide sources and sinks
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Citations
A review of trends and drivers of greenhouse gas emissions by sector from 1990 to 2018
Annual European Union greenhouse gas inventory 1990-…2011 and inventory report 2013
History of Chemically and Radiatively Important Atmospheric Gases from the Advanced Global Atmospheric Gases Experiment (AGAGE)
Biogeography of global drylands
Agriculture's Contribution to Climate Change and Role in Mitigation Is Distinct From Predominantly Fossil CO2-Emitting Sectors.
References
Climate change 2007: the physical science basis
Meta-Analysis: A Constantly Evolving Research Integration Tool
A review: James H. Meisel, The Fall of the Republic: Military Revolt in France Edward R. Tannenbaum, The Action Française: Diehard Reactionaries in Twentieth-Century France
The Shared Socioeconomic Pathways and their energy, land use, and greenhouse gas emissions implications: An overview
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Frequently Asked Questions (15)
Q2. What are the priorities for reducing uncertainty in bottom-up estimates?
Advancing the understanding and model representation of key processes responsible for N2O emissions from land and ocean are priorities to reduce uncertainties in bottom-up estimates.
Q3. What is the uncertainty of the NMIP and ocean biogeochemical models?
For process-based models (for example, NMIP and ocean biogeochemical models), the uncertainty is associated with differences in model configuration as well as process parameterization16,32.
Q4. What is the expected increase in N2O emissions in the coming decades?
In the coming decades, N2O emissions are expected to continue to increase as a result of the growing demand for food, feed, fibre and energy, and an increase in sources from waste generation and industrial processes4,11,12.
Q5. What are the top-down approaches to estimating and constraining sources and sinks of N?
Bottom-up approaches include emission inventories, spatial extrapolation of field flux measurements, nutrient budget modelling and process-based modelling for land and ocean fluxes.
Q6. What is the effect of the prior flux estimates on the emissions from top-down analyses?
In addition, the emissions from top-down analyses are dependent on the magnitude and distribution of the prior flux estimates to an extent that is strongly determined by the number of atmospheric N2O measurements18.
Q7. How many years of data were used to calculate the anthropogenic emissions from fires?
For long-term average in rivers, reservoirs, estuaries and lakes, the authors applied a mean of 56% (based on the ratio of anthropogenic to total nitrogen additions from land) to calculate anthropogenic emissions.
Q8. What is the ensemble mean of the values from EDGAR v4.3.2 and GAINS?
Both ‘Fossil fuel and industry’ and ‘Waste and waste water’ are the ensemble means of the values from EDGAR v4.3.2 and GAINS databases.
Q9. What is the rate of increase in emissions from fertilizers?
direct soil emission from the application of fertilizers is the major source and increased at a rate of 0.27 ± 0.01 Tg N yr−1 per decade (P < 0.05; Table 1).
Q10. How much of the increase in global N2O emissions from aquaculture is due to the increasing?
increasing demand for fish has resulted in a fivefold increase in global N2O production from aquaculture since the late 1980s39, and demand is projected to increase further40; however, this remains a small fraction (less than 1%) of total N2O emissions.
Q11. What is the main reason why inversions are not well constrained?
Inversions are generally not well constrained (and thus rely heavily on a priori estimates) in Africa, Southeast Asia, southern South America, and over the oceans, owing to the paucity of observations in these regions.
Q12. What is the result of the increased emission factor deduced from the top-down estimates?
This result is in line with the increased emission factor deduced from the top-down estimates, in which the inversion-based soil emissions increased at a faster rate than suggested by the IPCC Tier 1 emission factor14 (which assumes a linear response), especially after 2009 (ref. 18).
Q13. What was the association between the occurrence of these extreme fires?
The occurrences of these extreme fires were associated with El Niño/Southern Oscillation (ENSO) events, especially in Indonesia (for example, the Great Fire of Borneo in 1982)66.
Q14. How many natural sources were included in the total emission from reservoirs, lakes and estuaries?
The authors quantified the contribution of natural sources to total emission from reservoirs, lakes and estuaries at 44% (36%–52%), with consideration of all nitrogen inputs (that is, inorganic, organic, dissolved and particulateforms).
Q15. What is the importance of the input datasets for accurately simulating soil N2O emissions?
the quality of input datasets—specifically the amount and timing of nitrogen application, and spatial and temporal changes in distribution of natural vegetation and agricultural land—is critical for accurately simulating soil N2O emissions.