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Including Carbon Emissions from Deforestation in the Carbon Footprint of Brazilian Beef

Overview of attention for article published in Environmental Science & Technology, January 2011
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
12 news outlets
blogs
1 blog
policy
10 policy sources
twitter
6 X users
patent
1 patent
facebook
1 Facebook page
reddit
8 Redditors

Readers on

mendeley
437 Mendeley
citeulike
2 CiteULike
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Article details
Title
Including Carbon Emissions from Deforestation in the Carbon Footprint of Brazilian Beef
Published in
Environmental Science & Technology, January 2011
DOI 10.1021/es103240z
Pubmed ID
Authors
Abstract

Effects of land use changes are starting to be included in estimates of life-cycle greenhouse gas (GHG) emissions, so-called carbon footprints (CFs), from food production. Their omission can lead to serious underestimates, particularly for meat. Here we estimate emissions from the conversion of forest to pasture in the Legal Amazon Region (LAR) of Brazil and present a model to distribute the emissions from deforestation over products and time subsequent to the land use change. Expansion of cattle ranching for beef production is a major cause of deforestation in the LAR. The carbon footprint of beef produced on newly deforested land is estimated at more than 700 kg CO(2)-equivalents per kg carcass weight if direct land use emissions are annualized over 20 years. This is orders of magnitude larger than the figure for beef production on established pasture on non-deforested land. While Brazilian beef exports have originated mainly from areas outside the LAR, i.e. from regions not subject to recent deforestation, we argue that increased production for export has been the key driver of the pasture expansion and deforestation in the LAR during the past decade and this should be reflected in the carbon footprint attributed to beef exports. We conclude that carbon footprint standards must include the more extended effects of land use changes to avoid giving misleading information to policy makers, retailers, and consumers.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 437 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 4 <1%
Sweden 2 <1%
Italy 2 <1%
Germany 2 <1%
Netherlands 1 <1%
United Kingdom 1 <1%
France 1 <1%
Canada 1 <1%
Brazil 1 <1%
Other 0 0%
Unknown 422 97%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Master 70 16%
Researcher 65 15%
Student > Ph. D. Student 63 14%
Student > Bachelor 46 11%
Student > Doctoral Student 31 7%
Other 67 15%
Unknown 95 22%
Readers by discipline
Readers by discipline Count As %
Environmental Science 119 27%
Agricultural and Biological Sciences 76 17%
Engineering 26 6%
Social Sciences 20 5%
Economics, Econometrics and Finance 14 3%
Other 62 14%
Unknown 120 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 147. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 January 2026.
All research outputs
#344,054
of 32,902,820 outputs
Outputs from Environmental Science & Technology
#518
of 25,112 outputs
Outputs of similar age
#1,354
of 246,722 outputs
Outputs of similar age from Environmental Science & Technology
#2
of 149 outputs
Altmetric has tracked 32,902,820 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 25,112 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.0. This one has done particularly well, scoring higher than 97% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 246,722 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 149 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.