This paper applied the inventory method to estimate the non-carbon dioxide (non-CO2) greenhouse gases (GHGs) emissions from agricultural sources from 1980 to 2016 in the Yangtze River Economic Belt, and developed three emission scenarios (high, medium and low) at provincial level for 2030 and 2050 based on assumptions of economic development and the decoupling between agriculture and environment. Results show that the non-CO2GHGs emissions from agricultural sources in Yangtze River Economic Belt increased from 0.26 Gt CO2-eq in 1980 to 0.32 Gt CO2-eq in 2016. The trend will continue under the high scenario and medium scenario, as agricultural non-CO2GHGs emissions will not peak by 2050. The area-specific emission intensity (agricultural GHG emission per agricultural land area) in Jiangsu, Hunan, Chongqing, Yunnan, Hubei and Anhui will increase under the medium scenario and medium scenarios, while that in Sichuan province remains a lower level under the three scenarios.
李阳, 陈敏鹏. 长江经济带农业源非二氧化碳温室气体排放的时空特征[J]. 中国环境科学, 2020, 40(5): 2030-2039.
LI Yang, CHEN Min-peng. Spatial and temporal characteristics of non-carbon dioxide greenhouse gas emissions from agricultural sources in the Yangtze River Economic Belt. CHINA ENVIRONMENTAL SCIENCECE, 2020, 40(5): 2030-2039.
吴传清,黄磊.长江经济带绿色发展的难点与推进路径研究[J]. 南开学报(哲学社会科学版), 2017,(3):50-61. Wu C Q, Huang L. Research on Difficulties and Promoting Paths of Green Development in the Yangtze River Economic Belt[J]. Journal of Nankai University (Philosophy and Social Sciences), 2017,(3):50-61.
[2]
李裕瑞,杨乾龙,曹智.长江经济带农业发展的现状特征与模式转型[J]. 地理科学进展, 2015,34(11):1458-1469. Li Y R, Yang Q L, Cao Z. The status quo characteristics and model transformation of agricultural development in the Yangtze River Economic Belt[J]. Progress in Geography, 2015,34(11):1458-1469.
[3]
中国知网.中国经济社会大数据研究平台, http://data.cnki.net/YearData/Analysis. China National Knowledge Infrastructure. China's economic and social big data research platform, http://data.cnki.net/YearData/Analysis.
[4]
吴传清,宋子逸.长江经济带产业发展报告(2017)[M]. 北京:社会科学文献出版社, 2017:205-236. Wu C Q, Song Z Y. Industry Development Report of the Yangtze River Economic Belt (2017)[M]. Beijing:Social Science Literature Press, 2017:205-236.
[5]
Daniel J A J, U.Martin P, Christian A. Uncertainty and learning:implications for the trade-off between short-lived and long-lived greenhouse gases[J]. Climatic Change, 2008,88(3/4):293-308.
[6]
Montzka S A, Dlugokencky E J, Butler J H. Non-CO2 greenhouse gases and climate change. Nature[J]. Nature, 2011,476(7358):43-50.
[7]
Stephen M S, Jason A L, et al. Bowerman, et al. Equivalence of greenhouse-gas emissions for peak temperature limits[J]. Nature Climate Change, 2012,2(7):535-538.
[8]
Kirschke S, Bousquet P, Ciais P, et al. Three decades of global methane sources and sinks[J]. Nature Geoscience, 2013,6(10):813-823.
[9]
Zhang Y, Lin F, Jin Y, et al. Response of nitric and nitrous oxide fluxes to N fertilizer application in greenhouse vegetable cropping systems in southeast China[J]. Scientific Reports, 2016,6(1):20700.
[10]
联合国粮食及农业组织(FAO). FAOSTAT数据库[J]. http://www.fao.org/faostat/zh/#data/GT. Food and Agriculture Organization of the United Nations (FAO). FAO statistical database (FAOSTAT database)[J]. Http://www.fao.org/faostat/zh/#data/GT.
[11]
中华人民共和国生态环境部应对气候变化司. 中华人民共和国气候变化第三次国家信息通报[M]. 北京:2019. http://qhs.mee.gov.cn/kzwsqtpf/201907/P020190701762678052438.pdf. The Ministry of Ecology and Environment of the People's Republic of China Responds to Climate Change. The Third National Information Circular of the People's Republic of China on Climate Change[M]. Beijing:2019. http://qhs.mee.gov.cn/kzwsqtpf/201907/P020190701762678052438.pdf.
[12]
李波,张俊飚,李海鹏.中国农业碳排放时空特征及影响因素分解[J]. 中国人口·资源与环境, 2011,21(8):80-86. Li B, Zhang J B, Li H P. Spatio-temporal characteristics of China's agricultural carbon emissions and decomposition of influencing factors[J]. China Population, Resources and Environment, 2011,21(8):80-86.
[13]
田云,张俊飚,李波.中国农业碳排放研究:测算、时空比较及脱钩效应[J]. 资源科学, 2012,34(11):2097-2105. Tian Y, Zhang J B, Li B. Research on Agricultural Carbon Emissions in China:Calculation, Time-Space Comparison and Decoupling Effect[J]. Resources Science, 2012,34(11):2097-2105.
[14]
孟祥海,程国强,张俊飚,等.中国畜牧业全生命周期温室气体排放时空特征分析[J]. 中国环境科学, 2014,34(8):2167-2176. Meng X H, Cheng G Q, Zhang J B, et al. Analysis of the spatial and temporal characteristics of greenhouse gas emissions in the whole life cycle of Chinese animal husbandry[J]. China Environmental Science, 2014,34(8):2167-2176.
[15]
Xiong C, Yang D, Xia F, et al. Changes in agricultural carbon emissions and factors that influence agricultural carbon emissions based on different stages in Xinjiang, China[J]. Scientific Reports, 2016,6(1):36912.
[16]
Bennetzen E H, Smith P, Porter J R. Decoupling of greenhouse gas emissions from global agricultural production:1970-2050[J]. Global Change Biology, 2016,22(2):763-781.
[17]
Gerber James S, Mueller Nathaniel D, et al. Greenhouse gas emissions intensity of global croplands[J]. Nature Climate Change, 2016,7(1):63-68.
[18]
Wang Y, Xie T, Yang S. Carbon emission and its decoupling research of transportation in Jiangsu Province[J]. Journal of Cleaner Production, 2016,142(2):907-914.
[19]
Ding T, Ning Y, Zhang Y. Estimation of greenhouse gas emissions in China 1990~2013[J]. Greenhouse Gases Science & Technology, 2017,7(6):1097-1115.
[20]
陈慧,付光辉,刘友兆.江苏省县域农业温室气体排放:时空差异与趋势演进[J]. 资源科学, 2018,40(5):1084-1094. Chen H, Fu G H, Liu Y Z. County-level agricultural greenhouse gas emissions in Jiangsu Province:spatio-temporal differences and trend evolution[J]. Resources Science, 2018,40(5):1084-1094.
[21]
Rezende D A T, Ciniro C J, Amintas B J, et al. SEEG initiative estimates of Brazilian greenhouse gas emissions from 1970 to 2015[J]. Scientific Data, 2018,5:180045-.
[22]
吴传清,宋子逸.长江经济带农业碳排放的时空差异特征分析[J]. 长江大学学报(社会科学版), 2018,41(5):54-59. Wu C Q, Song Z Y. Analysis of the spatial and temporal differences of agricultural carbon emissions in the Yangtze River Economic Belt[J]. Journal of Yangtze University (Social Science Edition), 2018,41(5):54-59.
[23]
OECD. Indicators to measure decoupling of environmental pressure from economic growth[R]. Paris, OECD, 2002.
[24]
Ang B W. LMDI decomposition approach:A guide for implementation[J]. Energy Policy, 2015,86(11):233-238.
[25]
IPCC. IPCC guidelines for national greenhouse gas inventories Volume 4:Agriculture, forestry and other land use[R]. Geneva, Switzerland:IPCC, 2006.
[26]
国家发改委气候司.省级温室气体清单编制指南(试行)[M]. 北京:2011. Climate Department, National Development and Reform Commission of the People's Republic of China. Guidelines for Provincial Greenhouse Gas Inventory Preparation (Trial)[M]. Beijing:2011.
[27]
Shang Q, Yang X, Gao C, et al. Net annual global warming potential and greenhouse gas intensity in Chinese double rice-cropping systems:a 3-year field measurement in long-term fertilizer experiments[J]. Global Change Biology, 2011,17(6):2196-2210.
[28]
IPCC. 2007. Technical summary//Solomon S, Qin D, Manning M, et al. Climate change 2007:The physical science basis contribution of working Group I to the fourth assessment report of the IPCC[M]. New York:Cambridge University Press. 31-34.
[29]
王晓,齐晔.我国饮食结构变化对农业温室气体排放的影响[J]. 中国环境科学, 2013,33(10):1876-1883. Wang X, Qi Y. Effects of dietary structure changes on agricultural greenhouse gas emissions in China[J]. China Environmental Science, 2013,33(10):1876-1883.
[30]
世界资源研究所(WRI).世界资源研究所气候数据分析指标工具CAIT2.0(CAIT数据库), http://cait2.wri.org/. World Resources Institute (WRI). World Resources Institute Climate Data Analysis Index Tool CAIT2.0(CAIT Database), http://cait2.wri.org/.
[31]
中华人民共和国生态环境部应对气候变化司. 中华人民共和国气候变化第二次两年更新报告[M]. 北京:2019. http://qhs.mee.gov.cn/kzwsqtpf/201907/P020190701765971866571.pdf. The Ministry of Ecology and Environment of the People's Republic of China Responds to Climate Change. The second two-year update report on climate change in the People's Republic of China[M]. Beijing:2019. http://qhs.mee.gov.cn/kzwsqtpf/201907/P020190701765971866571.pdf.
[32]
肖丽群,吴群.基于脱钩指数的2020年江苏省耕地保有量目标分析[J]. 资源科学, 2012,34(3):442-448. Xiao L Q, Wu Q. Based on the decoupling index, 2020target analysis of cultivated land retention in Jiangsu Province[J]. Resources Science, 2012,34(3):442-448.
[33]
刘琼,佴伶俐,欧名豪,等.基于脱钩情景的中国建设用地总量管控目标分析[J]. 南京农业大学学报(社会科学版), 2014,14(2):80-85. Liu Q, Tong L L, Ou M H, Sheng Y X. Analysis of China's total construction land control target based on decoupling scenarios[J]. Journal of Nanjing Agricultural University (Social Science Edition), 2014,14(2):80-85.
[34]
李忠民,陈向涛,姚宇.基于弹性脱钩的中国减排目标缺口分析[J]. 中国人口·资源与环境, 2011,21(1):57-63. Li Z M, Chen X T, Yao Y. Analysis of China's emission reduction target gap based on elastic decoupling[J]. China Population ×Resources and Environment, 2011,21(1):57-63.
[35]
王欢,乔娟.中国畜牧业温室气体排放的脱钩与预测分析[J]. 中国生态农业学报(中英文), 2019,27(5):793-802. Wang H, Qiao J. Decoupling and Prediction Analysis of Greenhouse Gas Emissions in China's Animal Husbandry[J]. Chinese Journal of Eco-Agriculture (Chinese and English), 2019,27(5):793-802.
[36]
李波,刘雪琪,王昆.中国农地利用结构变化的碳效应及时空演进趋势研究[J]. 中国土地科学, 2018,32(3):43-51. Li B, Liu X Q, Wang K. Research on carbon effect and spatial and temporal evolution trend of China's agricultural land use structure change[J]. China Land Sciences, 2018,32(3):43-51.
[37]
林伯强,毛东昕.中国碳排放强度下降的阶段性特征研究[J]. 金融研究, 2014,(8):101-117. Lin B Q, Mao D X. A study on the phase characteristics of the decline of China's carbon emission intensity[J]. Journal of Financial Research, 2014,(8):101-117.
[38]
胡向东,王明利,石自忠.基于市场模型的中国猪肉供需分析[J]. 中国农村经济, 2015,(4):14-28. Hu X D, Wang M L, Shi Z Z. Analysis of Chinese pork supply and demand based on market model[J]. Chinese Rural Economy, 2015, (4):14-28.
[39]
肖小虹,王婷婷,王超.中华人民共和国成立70年来农业政策的演变轨迹——基于1949-2019年中国农业政策的量化分析[J]. 世界农业, 2019,(8):33-48. Xiao X H, Wang T T, Wang C. The evolution of agricultural policy in the 70years since the founding of the People's Republic of China——Based on the quantitative analysis of Chinese agricultural policy from 1949 to 2019[J]. World Agriculture, 2019,(8):33-48.
[40]
World Bank. World Bank Open Data, https://data.worldbank.org.cn.
[41]
张士云,江激宇,栾敬东,等.美国和日本农业规模化经营进程分析及启示[J]. 农业经济问题, 2014,35(1):101-109+112. Zhang S Y, Jiang J Y, Luan J D, et al. Analysis and enlightenment of the process of large-scale agricultural management in the United States and Japan[J]. Issues in Agricultural Economy, 2014,35(1):101-109+112.
[42]
刘佳奇.日本农业循环经济的发展及启示[J]. 农业经济问题, 2015,36(8):105-109. Liu J Q. Development and Enlightenment of Japanese Agricultural Circular Economy[J]. Issues in Agricultural Economy, 2015,36(8):105-109.
[43]
李江南.美国、德国和日本循环农业模式的实践、经验及其比较[J]. 世界农业, 2017,(6):17-22+236. Li J N. Practice, experience and comparison of circular agriculture models in the United States, Germany and Japan[J]. World Agriculture, 2017,(6):17-22+236.
[44]
谢颜,李文明.韩国、波兰农业现代化发展模式比较研究与借鉴[J]. 世界农业, 2014,(11):130-133. Xie Y, Li W M. A comparative study and reference of agricultural modernization development model in Korea and Poland[J]. World Agriculture, 2014,(11):130-133.
[45]
程勇翔,王秀珍,郭建平,等.中国水稻生产的时空动态分析[J]. 中国农业科学, 2012,45(17):3473-3485. Cheng Y X, Wang X Z, Guo J P, et al. Analysis of spatio-temporal dynamics of rice production in China[J]. Scientia Agricultura Sinica, 2012,45(17):3473-3485.
[46]
姜珊珊,庞炳坤,张敬沙,等.减氮及不同肥料配施对稻田CH4和N2O排放的影响[J]. 中国环境科学, 2017,37(5):1741-1750. Jiang S S, Pang B K, Zhang J S, et al. Effects of nitrogen reduction and different fertilizer application on CH4 and N2O emissions from paddy fields[J]. China Environmental Science, 2017,37(5):1741-1750.
[47]
郝小雨,周宝库,马星竹,等.氮肥管理措施对黑土玉米田温室气体排放的影响[J]. 中国环境科学, 2015,35(11):3227-3238. Hao X Y, Zhou B K, Ma X Z, et al. Effects of nitrogen fertilizer management measures on greenhouse gas emissions from black soil corn fields[J]. China Environmental Science, 2015,35(11):3227-3238.