2017
DOI: 10.1186/s13021-017-0084-y
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Revised methane emissions factors and spatially distributed annual carbon fluxes for global livestock

Abstract: BackgroundLivestock play an important role in carbon cycling through consumption of biomass and emissions of methane. Recent research suggests that existing bottom-up inventories of livestock methane emissions in the US, such as those made using 2006 IPCC Tier 1 livestock emissions factors, are too low. This may be due to outdated information used to develop these emissions factors. In this study, we update information for cattle and swine by region, based on reported recent changes in animal body mass, feed q… Show more

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Cited by 152 publications
(123 citation statements)
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“…Yacovitch et al (2015) For a contextualised UK comparison of instantaneous emissions, the fracking fluxes (from one sampling day) in figure 3 dwarf the maximum cattle emission flux (within uncertainty) of 3 g s −1 . The cattle fluxes are in broad agreement with inventory predictions (0.0042 g s −1 per animal) for enteric fermentation, from dairy cattle free to pasture in Western Europe (Wolf et al 2017). As the farm contained adult lactating cattle, young cattle and organic waste produced by the cattle, UAV sampling provides a unique opportunity to accurately quantify all methane emissions from the dairy farm, as a single facility.…”
Section: Flux Results and Discussionsupporting
confidence: 71%
“…Yacovitch et al (2015) For a contextualised UK comparison of instantaneous emissions, the fracking fluxes (from one sampling day) in figure 3 dwarf the maximum cattle emission flux (within uncertainty) of 3 g s −1 . The cattle fluxes are in broad agreement with inventory predictions (0.0042 g s −1 per animal) for enteric fermentation, from dairy cattle free to pasture in Western Europe (Wolf et al 2017). As the farm contained adult lactating cattle, young cattle and organic waste produced by the cattle, UAV sampling provides a unique opportunity to accurately quantify all methane emissions from the dairy farm, as a single facility.…”
Section: Flux Results and Discussionsupporting
confidence: 71%
“…The new ONG trends are 3.2 ± 1.3%/year and 4.8± 1.0%/year for SGP‐s and WKT‐s, respectively, which are within the uncertainty ranges of our previous estimates. This is expected because both sites are dominated by ONG emissions and non‐ONG emissions account for less than 15% of the CH 4 enhancements (Wolf et al, ).…”
Section: Trends In Ch4 and Ch4 Vertical Gradients (δCh4)mentioning
confidence: 99%
“…The atmospheric CH 4 growth rate is not exclusively a result of changes in wetland emissions, but rather due to a combined influence of anthropogenic and natural sources, and also due to a hydroxyl radical sink (Turner et al 2017, Rigby et al 2017. Recent studies have reported an increase in annual CH 4 emissions from global livestock (Wolf et al 2017) and an expansion of agricultural areas for rice paddies in southern Asia (Zhang et al 2017a), a region where precipitation has largely increased since 2007. Thus, we hypothesize that a combination of tropical wetlands and agricultural sources are likely responsible for the resumed growth rate of atmospheric CH 4 concentrations, which is consistent with the depletion in the global isotopic signature in 13 CH 4 (Schaefer et al 2016) and with regional measurements of 13 CH 4 in the tropics (Nisbet et al 2016).…”
Section: Relationship Between Wetland Ch 4 and Atmospheric Growth Ratementioning
confidence: 99%