2018
DOI: 10.1007/s11250-018-1775-4
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Contextualized re-calculation of enteric methane emission factors for small ruminants in sub-humid Western Africa is far lower than previous estimates

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Cited by 12 publications
(2 citation statements)
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“…Compared with IPCC, (2006) default emission factors for Africa, higher Tier 2 emission factors were also reported for Benin (40 kg CH 4 herd/year)(Kouazounde et al, 2015). However, lower CH 4 emission factors of 31 and 16 kg CH 4 herd/year were reported for lactating and other cattle (Ndama breed) in Senegal(Ndao et al, 2019). These comparisons highlight the necessity for developing country speci c emission factors that re ect the national circumstances and actual animal management and performance in cattle was higher than the IPCC values from developing countries (African regions) livestock EFs under similar production system and animal functions(Goopy et al, 2021;Herrero et al, 2008; IPCC, 2006IPCC, , 2019Kouazounde et al, 2015…”
mentioning
confidence: 74%
“…Compared with IPCC, (2006) default emission factors for Africa, higher Tier 2 emission factors were also reported for Benin (40 kg CH 4 herd/year)(Kouazounde et al, 2015). However, lower CH 4 emission factors of 31 and 16 kg CH 4 herd/year were reported for lactating and other cattle (Ndama breed) in Senegal(Ndao et al, 2019). These comparisons highlight the necessity for developing country speci c emission factors that re ect the national circumstances and actual animal management and performance in cattle was higher than the IPCC values from developing countries (African regions) livestock EFs under similar production system and animal functions(Goopy et al, 2021;Herrero et al, 2008; IPCC, 2006IPCC, , 2019Kouazounde et al, 2015…”
mentioning
confidence: 74%
“…The Tier I EF, which employs a universal factor for all animals of one species (in Africa), fails to properly account for differences in production systems across various climatic zones, as demonstrated by the modelling approach of Herrero et al (2008). To place the importance of spatially explicit data in context, of the two known African studies that have produced revised EF for SR, the South African study (Du Toit et al 2013) found that Tier I estimates were 20-40% lower than the calculated EF for SR, while Ndao et al (2019) found that Tier I overestimated the EF of West African sheep and goats by 50-65%. Clearly, there is a need to develop, at least, region-specific estimates for SR EF.…”
Section: Introductionmentioning
confidence: 99%