Inventory of methane emissions from livestock in China from 1980 to 2013

Jin, Yu; Peng, Shushi; Chang, Jinfeng; Ciais, Philippe; Dumas, Patrice; Lin, Xin; Piao, Shilong

doi:10.1016/j.atmosenv.2018.04.029

Cited by 34 publications

(33 citation statements)

References 33 publications

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“…Some have even gone so far as to promote more meat. A recent analysis of animal emissions in China recommends increasing per-capita production of animal products (Yu et al, 2018), claiming that improved efficiency will offset the increase in production and provide net methane emission reductions overall. Intensifying beef production in tropical middle-income countries (Swain et al, 2018) has also been recommended.…”

Section: Limits Of Intensification Are Not Being Discussedmentioning

confidence: 99%

Underestimates of US emissions and global implications for industrializing animal agriculture

Hayek¹

2020

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Environmental impacts of intensive, industrial meat and dairy production are a major concern. However, the majority of global warming emissions from animal agriculture are estimated to come from extensive, pastoral systems of production. Animal emissions are estimated using complex models, but these models can contain multiple errors that often go unreported. Modeled emissions estimates can be corroborated using measurements of greenhouse gases in the air above and downwind of areas where animals are raised, using planes, tall towers, and satellites. These atmospheric measurements suggest that total global animal emissions are accurately estimated by models. However, in the US, where production is predominantly industrialized, animal emissions are frequently underestimated by models. Intensive methods of meat and dairy production are expanding globally. This expansion is frequently justified by environmental science and economic development experts as a way to reduce the carbon footprint of meat and dairy. This guidance memo demonstrates that the emissions savings potential of intensifying production may be oversold. Reducing consumer demand for meat and dairy products, while helping producers diversify their income and shift toward food crops where possible, is recommended as a more reliable strategy for mitigating global warming. Reducing consumption and production avoids environmental tradeoffs associated with intensification, including confinement, water pollution, and antibiotic resistance. Additionally, improving the efficiency of pastoral systems can reduce environmental impacts, provided that improvements are accompanied by strict ecosystem conservation and do not lead to animal confinement.

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Section: Limits Of Intensification Are Not Being Discussedmentioning

confidence: 99%

Underestimates of US emissions and global implications for industrializing animal agriculture

Hayek¹

2020

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“…Perhitungan emisi metana dari kotoran ternak jauh lebih rumit dibandingakan dengan emisi metana dari ruminansia karena terkait dengan komposisi kotoran ternak, tipe fasilitas penyimpan kotoran ternak, sistem perkandangan, berapa kali hewan mengeluarkan kotoran dan suhu lingkungan merupakan contoh faktor yang sulit untuk di inventarisir (Hristov et al, 2017). Kemudian, pentingnya perhitungan inventarisasi emisi dari sektor peternakan harus dilakukan setiap tahun dengan tidak menggunakan faktor emisi yang konstan karena meningkatnya laju populasi ternak dan sistem manejemen perkandangan yang semakin maju (Yu et al, 2018).…”

Section: Pendahuluanunclassified

Emisi Metana dari Pengelolaan Kotoran Ternak di Yogyakarta – Inventarisasi

Hervani¹,

Ariani

2019

JPI

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Penelitian ini bertujuan untuk memberikan informasi secara berkala mengenai tingkat, status, dan kecenderungan emisi metana dari pengelolaan kotoran ternak di Yogyakarta. Penelitian ini merupakan penelitian desk study dengan cara melakukan inventarisasi GRK menggunakan Intergovernmental Panel on Climate Change (IPCC) Guidelines 2006. Penelitian dilaksanakan dengan mengumpulkan data aktivitas ternak provinsi Yogyakarta pada bulan November tahun 2016 sebagai sumber emisi GRK, serta penetapan faktor emisi berdasarkan IPCC Guidelines 2006. Data aktivitas didapatkan dari data statistik provinsi Yogyakarta. Inventarisasi emisi gas rumah kaca dari pengelolaan kotoran ternak di Yogyakarta menggunakan Tier 1 dari IPCC Guidelines. Hasil penelitian menunjukkan bahwa emisi terbesar dari pengelolaan kotoran ternak di Yogyakarta dari ternak unggas yaitu ternak ayam ras pedaging yang menyumbang 37% diikuti ayam buras sebesar 24%, ayam ras petelur sebesar 20% dan itik sebesar 3%. Sedangkan emisi dari ternak mamalia seperti sapi potong, sapi perah, kuda, kerbau, kambing, domba dan babi menyumbangkan emisi metana yang rendah terhadap total emisi metana dari pengelolaan kotoran ternak di Yogyakarta.

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“…Livestock and poultry farming sector are among the largest anthropogenic CH 4 emission sources at both regional and global scales, mainly from enteric fermentation and manure management [5][6][7][8][9][10]. In general, the regional and global inventories of CH 4 emission from the livestock and poultry farming are using the framing population and annual emission factor (EF) per head of livestock and poultry.…”

Section: Introductionmentioning

confidence: 99%

“…In the real world, however, body weight and milk production of livestock are dynamic and in turn affect the EF because of the development in breeding technology and changes in animal diet and production systems [13,14]. For this reason, the new guideline of IPCC Tier 2 (using dynamic EFs of each livestock and poultry types during the past three decades) is more reliable and used more widely [9,10]. In China, CH 4 emission from livestock and poultry farming (12 Tg CH 4 yr −1 ) is the second largest anthropogenic source after coal industry, accounting for 25% of the total anthropogenic CH 4 emissions [15].…”

Section: Introductionmentioning

confidence: 99%

“…In China, CH 4 emission from livestock and poultry farming (12 Tg CH 4 yr −1 ) is the second largest anthropogenic source after coal industry, accounting for 25% of the total anthropogenic CH 4 emissions [15]. The rapid growths in population and diet consumptions of meat, milk, and eggs should account for the substantial CH 4 emissions from livestock and poultry farming in China over the past decades [9,15]. Around the world, China is currently the largest meat producer and the third largest milk producer [16].…”

Section: Introductionmentioning

confidence: 99%

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Inventory of Spatio-Temporal Methane Emissions from Livestock and Poultry Farming in Beijing

et al. 2019

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Livestock and poultry farming sectors are among the largest anthropogenic methane (CH4) emission sources, mainly from enteric fermentation and manure management. Previous inventories of CH4 emission were generally based on constant emission factor (EF) per head, which had some weaknesses mainly due to the succession of breeding and feeding systems over decades. Here, more reliable long-term changes of CH4 emissions from livestock and poultry farming in Beijing are estimated using the dynamic EFs based on the Intergovernmental Panel on Climate Change (IPCC) Tier 2 method, and high-resolution spatial patterns of CH4 emissions are also estimated with intensive field survey. The results showed that the estimated CH4 emissions derived by dynamic EFs were approximately 13–19% lower than those based on the constant EF before 2010. After 2011, however, the dynamic EFs-derived CH4 emissions were a little higher (3%) than the constant EF method. Temporal CH4 emissions in Beijing had experienced four developing stages (1978–1988: stable; 1989–1998: slow growth; 1999–2004: rapid growth and reached hot moments; 2005–2014: decline) during 1978–2014. Over the first two decades, the contributions of pigs (45%) and cattle (46%) to annual CH4 emission were similar; subsequently, the cattle emitted more CH4 compared to the pigs. At a spatial scale, Shunyi, Daxing, and Tongzhou districts with more cattle and pigs are the hotspots of CH4 emission. In conclusion, the dynamic EFs method obviously improved the spatio-temporal estimates of CH4 emissions compared to the constant EF approach, and the improvements depended on the period and aquaculture structure. Therefore, the dynamic EFs method should be recommended for estimating CH4 emissions from livestock and poultry farming in the future.

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Inventory of methane emissions from livestock in China from 1980 to 2013

Cited by 34 publications

References 33 publications

Underestimates of US emissions and global implications for industrializing animal agriculture

Underestimates of US emissions and global implications for industrializing animal agriculture

Emisi Metana dari Pengelolaan Kotoran Ternak di Yogyakarta – Inventarisasi

Inventory of Spatio-Temporal Methane Emissions from Livestock and Poultry Farming in Beijing

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