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- Title
2004--2013年东北三省主要粮食作物生产碳足迹.
- Authors
黄晓敏; 陈长青; 陈铭洲; 宋振伟; 邓艾兴; 张俊; 郑成岩; 张卫建
- Abstract
Northeast China is one of the most important farming regions in China, due to its great contribution to national food security. Crop production is a main source of carbon emission. To assess the differences in carbon footprints of major grain crop production will benefit the achievement of low carbon agriculture. Therefore, this study calculated the regional carbon foot prints of rice (Oryza sativa), maize (Zea mays) and soybean (Glycine max) production in Northeast China during 2004-2013 using the provincial statistical data, including crop yield, sown area and production inputs. The results showed that the highest area-scale carbon footprint was found in rice production, with the average value of (2463±56) kg CE·hm-2, while the second was found in maize production during 2004-2013. The sharpest rise occurred in maize production, from 1164 kg CE·hm-2 in 2004 to 1768 kg CE·hm-2 in 2013, with the average rate of 67 kg CE·hm-2·a-1. The application of chemical fertilizer contributed to the carbon footprint largely, accounting for 45%, 90% and 83% for rice, maize and soybean, respectively. Moreover, the contribution of electricity for irrigation in rice production ranged from 29% to 42%, which was larger than that in maize and soybean production. The carbon footprints were significantly different among the three provinces of Northeast China. The highest yield-scaled carbon footprints for three crops were found in Jilin Province, while the lowest area-scaled carbon footprints found in Heilongjiang Province. Given to the large transfer of rural labor from agricultural to non-agricultural sections and the development of mechanization, diesel and other mechanical inputs would increase rapidly in the future. Therefore, improving fertilizer utilization, mechanical and irrigation efficiencies in crop production would be the main approaches to promoting low-carbon agriculture in Northeast China.
- Publication
Yingyong Shengtai Xuebao, 2016, Vol 27, Issue 10, p3307
- ISSN
1001-9332
- Publication type
Article
- DOI
10.13287/j.1001-9332.201610.036