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Acta Prataculturae Sinica ›› 2024, Vol. 33 ›› Issue (9): 227-241.DOI: 10.11686/cyxb2023384

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A full life cycle carbon footprint calculation and analysis of spatial-temporal pattern for livestock industries in the Yellow River water supply area of Gannan

Xiao-rong LI1(), Qiang-qiang CHEN1,2()   

  1. 1.College of Finance and Economics,Gansu Agricultural University,Lanzhou 730070,China
    2.Research Center for Ecological Construction and Environmental Protection of Gansu Province,Lanzhou 730030,China
  • Received:2023-10-17 Revised:2024-01-15 Online:2024-09-20 Published:2024-06-20
  • Contact: Qiang-qiang CHEN

Abstract:

Gaining an objective understanding of the carbon dynamics of animal husbandry and its spatial and temporal pattern is the scientific basis for low-carbon and ecological development of regional animal husbandry. This study was based on data relating to animal husbandry and production at the county scale in the Yellow River water supply area of Gannan from 2000 to 2020 as an input, and used the whole life cycle method to estimate the carbon footprint of animal husbandry, and the industry spatial and temporal changes and structural characteristics. Spatial autocorrelation analysis was applied to explore the spatial pattern of the animal husbandry carbon footprint. The results showed that: 1) The animal husbandry carbon footprint in the Yellow River water supply area of Gannan showed, on the whole, an overall upward trend with an average annual growth rate of 1.80%. Three stages were revealed: a rapid growth stage, a slow decline and then rebound stage, and a fluctuating decline stage. 2) It was noted that the amount of CH4 and N2O produced by livestock gastrointestinal fermentation and fecal management during the production process is particularly large for ruminant animals. The CH4 and N2O emissions of sheep and cattle have increased substantially and been much higher than those of other livestock. 3) Maqu County has always been an area with a super-heavy animal husbandry carbon footprint. The emergence of areas with a heavy footprint showed a fluctuating trend, but was mainly concentrated in Luqu County and Xiahe County. The animal husbandry carbon footprint in Linxia County, Jishishan County and Hezheng County remained light, while that in Hezuo City, Zhuoni County and Lintan County was medium. The ranking of the total animal husbandry carbon footprint from largest to smallest was pastoral areas>agricultural areas>semi-agricultural and semi-pastoral area. 4) The overall spatial pattern of the animal husbandry carbon footprint in the study area was one of increase from north to south and from east to west. At the county scale, Maqu County and Luqu County were high-carbon emission or ‘hot-spot’ areas, and Hezuo City, Hezheng County and Kangle County were ‘cold-spot’ areas with notably low carbon emissions. The formulation of differentiated regional animal husbandry development strategies according to local conditions, and the promotion of ‘low-emission’ animal husbandry practices will help reduce the animal husbandry carbon footprint so as to achieve low-carbon transformation for animal husbandry in the area.

Key words: carbon footprint, greenhouse gas, full life cycle method, livestock industry, spatial-temporal pattern, the Yellow River water supply area of Gannan