Meat Eaters Guide: Methodology - Environmental Working Group
Meat Eaters Guide: Methodology - Environmental Working Group
Meat Eaters Guide: Methodology - Environmental Working Group
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d. Sensitivity Analysis: Each crop or animal production system may include up to 30 different inputs/<br />
outputs with specific values. Moreover, it is generally true that there are strong correlations among<br />
some inputs and outputs in any production system (i.e., a change in one might imply changes in others),<br />
but these relationships are not easily quantifiable. Due to lack of data about uncertainties and<br />
correlations, as well as the large number of input/output variables in each system, it has not been<br />
possible or useful to conduct a comprehensive numerical sensitivity analysis on input/output values<br />
for all production systems.<br />
e. Uncertainty Associated with GHG Emissions Agricultural Production Systems and IPCC factors<br />
In general, there is significant variability and uncertainty with respect to greenhouse gas emissions<br />
from agricultural systems. This analysis relies on widely accepted IPCC emission factors for underlying<br />
biochemical processes (such as methane from enteric fermentation and nitrous oxide from fertilizer<br />
application). While these are tailored to specific agricultural systems and conditions, (dry vs.<br />
temperate climates, grass- vs. grain-feed, dry vs. liquid manure storage, etc.), they are based on averages<br />
and, in some cases, very few field measurements – and therefore actual emissions may vary<br />
considerably depending on particular conditions.<br />
Nitrous oxide emissions, in particular, are inherently highly variable and hard to measure with great<br />
certainty, given different microbial, soil and weather conditions. Some have estimated that the nitrous<br />
oxide emission factor could vary by as much as 50 percent. 43 Similarly the CO 2 associated with lime<br />
application (a common feature in soybean production) is also known to have variability as high as 50<br />
percent, according to the IPCC and other studies. 44 Whether this variability could significantly change<br />
our GHG calculation depends on the relative contribution of corn feed (and N 2 0) to the overall footprint.<br />
In the case of chicken, feed (mostly corn) represents 53 percent of pre-farmgate (production<br />
emissions) and about half of those are N 2 0 soil emissions (see section D for details). However, since<br />
feed comprises only 18 percent of total chicken emissions, reducing N 2 0 emissions significantly would<br />
only make a small difference in the overall GHG footprint.<br />
It should be noted that with respect to methane, estimates on feed conversion to methane and methane<br />
emissions from manure tend to be less variable. Therefore, for production systems such as beef,<br />
where methane constitutes the largest emission source, there is greater certainty as to the overall<br />
carbon footprint. The uncertainty associated with GHG emissions from agriculture is the subject of an<br />
ongoing debate and the best that we can do at the moment is rely on the most reasonable estimates<br />
as developed by the IPCC.<br />
D. Modeling Emissions from <strong>Meat</strong> Production and Consumption<br />
This section describes the essential production, consumption and modeling details and emissions of<br />
selected geographical meat production systems included in EWG <strong>Meat</strong> <strong>Eaters</strong> <strong>Guide</strong>. We provide key<br />
calculations explaining how the waste factor is integrated into the model, as well as the key assumptions<br />
behind choices for determining the edible portion of meat.<br />
<strong>Environmental</strong> <strong>Working</strong> <strong>Group</strong> <strong>Meat</strong> <strong>Eaters</strong> <strong>Guide</strong>: <strong>Methodology</strong> 2011 21