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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

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