[1]LI Yuhan,ZHENG Zicheng,WANG Yongdong,et al.Spatiotemporal Variability of Agricultural Methane Emissions in the Hilly Area of Sichuan Basin and Its Driving Factors[J].Research of Soil and Water Conservation,2022,29(05):178-184.
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Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
29
Number of periods:
2022 05
Page number:
178-184
Column:
Public date:
2022-08-20
- Title:
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Spatiotemporal Variability of Agricultural Methane Emissions in the Hilly Area of Sichuan Basin and Its Driving Factors
- Author(s):
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LI Yuhan, ZHENG Zicheng, WANG Yongdong, LI Tingxuan
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(College of Resources, Sichuan Agricultural University, Chengdu 611130, China)
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- Keywords:
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methane; temporal and spatial distribution; STIRPAT model; driving factors
- CLC:
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X71; S181
- DOI:
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- Abstract:
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In order to understand the characteristics of CH4 emission from agricultural sources in hilly areas of Sichuan Basin, the method of IPCC was used to measure agricultural CH4 emission in hilly areas of Sichuan basin from 2007 to 2017, and barycenter model, Getis-Ord G*i, PLS-STIRPAT model were used to analyze the spatiotemporal distribution of methane emissions and its major driving factors. The results show that:(1)the agricultural CH4 emissions in the hilly area of Sichuan Basin was up to(3.252~3.593)×105 tons in 2007—2017; the sources of crop farming and livestock and poultry industry accounted for 44.54%~48.26% and 51.75%~55.46%, respectively; the agricultural CH4 emissions showed a decrease trend, and this may be related to the decrease of CH4 emissions from the livestock and poultry industry;(2)the barycenter of agricultural CH4 emission tended to move to the northeast finally along with increasing time; the high CH4 emission gathering area was mainly located in the northeast, showed an expanding trend, and its high emissions increased significantly over time; on the contrary, the low CH4 emission gathering area was mainly located in the southwest, showed an opposite trend;(3)the total population, agricultural employment structure, and agricultural output structure played the positive role in agricultural CH4 emissions; the urbanization rate, fertilization amount per unit area, arable land occupation per capita, GDP per capita, and rural electricity consumption showed the negative effect on agricultural CH4 emissions; the agricultural output structure was the most important factor that promoted the agricultural CH4 emissions in the study area. In summary, the CH4 emission level of agricultural methane emission in hilly areas of Sichuan basin is relatively high, and the difference of spatio-emporal distribution changes little. The agricultural methane emission can be effectively reduced through the intensive and centralized scale of agricultural production.