Spatial-temporal Variations and Driving Forces of Agricultural Carbon Emissions in Fujian
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摘要:
目的 研究福建省农业碳排放时空动态变化规律及其驱动因素,为福建省农业实现低碳化发展提供理论依据。 方法 利用《福建统计年鉴》(1990-2016年)的农业生产数据对全省农业碳排放进行测算,运用地理信息系统(ArcGIS)对其空间变化规律进行分析,利用LMDI模型(对数平均迪式分解模型)对其驱动因素进行分解。 结果 1990-2016年间福建省的农业碳排放整体呈下降趋势,由598.32万t下降到546.49万t,年均下降0.35%。9个地级市农业碳排放量差异较大,其中南平市农业碳排放量最大,达到103.64万t;厦门市农业碳排放量最小,仅有5.29万t。从福建省农业碳排放的内部结构看,农用物资与农地利用所带来的碳排放为主要碳源,占农业碳排放总量的43.85%;其次是稻田甲烷所带来的碳排放,占比43.04%。在驱动因素方面,碳排放强度效应、就业结构效应和人口总数效应是全省农业碳排放下降的正向驱动因素,农业碳排放分别减少35.00万t、8.86万t和75.72万t;而农业收入效应是农业碳排放下降的负向驱动因素,农业碳排放增加了40.45万t。 结论 近年来福建省农业碳排放量整体减少,未来还可进一步采取措施,有效促进农业碳减排和低碳农业发展。 Abstract:Objective Spatial and temporal dynamics of and the driving forces behind the agricultural carbon emissions in Fujian were studied. Method The agricultural production data from the Statistical Yearbook of Fujian Province (1990-2016) were compiled to calculate the agriculture carbon emissions, the Geographic Information System (ArcGIS) applied to analyze the spatial variations, and the logarithmic average di-model (LMDI model) employed to decipher the factors that governed the outcomes. Result Overall, the total emission in the province was on a downward trend from 1990 to 2016 with at an annual decline rate of 0.35% from 598.32×104t to 546.69×104t. The emissions differed significantly among 9 prefecture-level municipalities. Nanping had the greatest amount that reached 103.64×104t, and Xiamen the least at 5.29×104t. Materials and land for agricultural operations were the major pollution sources, accounting for 43.85% of the total emissions. They were followed by the CH4 emissions from paddy fields which contributed 43.04%. The factors that drove the emission reduction included carbon intensity, employment structure and local population, each contributed 35.00×104t, 8.86×104t and 75.72×104t, respectively, to the total. In contrast, the income from agricultural activities was a negative driving force that added 40.45×104t to the total emissions. Conclusion In recent years, the agricultural carbon emissions in Fujian have been reduced overall, and Fujian can further take measures to effectively reduce agricultural carbon emission and to promote low-carbon agriculture development. -
Key words:
- Fujian province /
- agricultural carbon emissions /
- LMDI model /
- driving force
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表 1 各碳源因子的碳排放量
Table 1. Carbon emission coefficients of various sources
类别
Type碳源因子
Carbon sources碳排放数值
Carbon emission numerical value参考来源
Data sources农用物资与农地利用
Agricultural inputs and farmland use
/(kgC·kg-1)化肥Fertilizer 0.90 ORNL 农药Pesticide 4.93 ORNL 农用塑料薄膜Agricultural plastic film 5.18 IREEA 农用柴油Agricultural diesel fuel 0.59 IPCC 土壤N2O排放
N2O emission from soil
/(kgC·hm-2)翻耕Plowing 312.60 IABCAU、伍芬琳等[16]、吴贤荣等[14] 水稻土壤N2O排放N2O
emission from paddy soil43.50 王智平等[17] 甘薯土壤N2O排放N2O emission from sweet potato soil 172.21 闵继胜等[18] 马铃薯土壤N2O排放N2O emission from potato soil 172.21 闵继胜等[18] 大豆土壤N2O排放N2O emission from soybean soil 139.58 熊正琴等[19] 稻田CH4排放CH4
emission from paddy soi/(gC·m-2)早稻Early rice 52.79 闵继胜等[18] 中稻Medium rice 296.47 闵继胜等[18] 晚稻Late rice 358.73 闵继胜等[18] 牲畜养殖Livestock breeding/(kgC·头-1·a-1) 牛Cow 肠道发酵Intestinal fermentation 347.82 IPCC 粪便管理Excreta management 10.23 IPCC 猪Pig 肠道发酵Intestinal fermentation 6.82 IPCC 粪便管理Excreta management 27.28 IPCC 羊Sheep 肠道发酵Intestinal fermentation 34.10 IPCC 粪便管理Excreta management 1.16 IPCC 注:ORNL为美国橡树岭国家实验室;IREEA为南京农业大学农业资源与生态环境研究所;IPCC为联合国政府间气候变化专门委员会;IABCAU为中国农业大学农学与生物技术学院。
Note: ORNL, IREEA, IPCC and CABCAU refer to Oak Ridge National Laboratory, Institute of Resource, Ecosystem and Environment of Agriculture of Nanjing Agricultural University, Intergovernmental Panel on Climate Change, and College of Agronomy and Biotechnology of China Agricultural University, respectively..表 2 福建省9个地级市2010年和2016年农业碳排放总量及其分量
Table 2. Total and components of agricultural carbon emissions at 9 municipalities in Fujian, 2010-2016
指标
Indicator福州市Fuzhou 莆田市Putian 泉州市Quanzhou 厦门市Xiamen 漳州市Zhangzhou 龙岩市Longyan 三明市Sanming 南平市Nanping 宁德市Ningde 2010 2016 2010 2016 2010 2016 2010 2016 2010 2016 2010 2016 2010 2016 2010 2016 2010 2016 农业碳排放总量Total agricultural carbon emissions/104t 38.40 40.18 27.68 23.51 61.64 55.82 7.55 5.29 91.65 88.96 74.52 75.84 92.95 93.91 101.57 103.64 55.12 55.10 农用物资与农地利用排放Carbon emissions from agricultural inputs and farmland use/104t 28.79 30.92 16.50 15.20 30.42 31.03 4.04 2.91 63.90 66.47 25.08 26.10 43.75 44.41 36.71 40.69 26.73 29.37 占比Proportion/% 74.96 76.94 59.63 64.65 49.35 55.59 53.54 54.94 69.71 74.72 33.66 34.40 47.07 47.29 36.14 39.26 48.50 53.31 土壤N2O排放N2O emissions from soil/104t 0.07 0.06 0.45 0.41 1.39 1.29 0.08 0.07 0.83 0.79 1.05 1.11 1.47 1.54 1.49 1.48 1.12 1.14 占比Proportion/% 0.18 0.16 1.63 1.72 2.25 2.31 1.04 1.24 0.90 0.89 1.41 1.46 1.58 1.63 1.46 1.43 2.04 2.07 稻田CH4排放CH4 emissions from paddy soil/104t 1.16 0.87 7.01 4.87 19.99 15.46 0.83 0.56 17.55 14.42 33.52 34.69 41.04 40.84 55.88 54.52 24.77 21.43 占比Proportion/% 3.03 2.15 25.34 20.72 32.43 27.69 11.02 10.59 19.15 16.21 44.98 45.74 44.15 43.49 55.02 52.60 44.94 38.90 牲畜养殖碳排放Carbon emissions from livestock breeding/104t 8.38 8.34 3.71 3.04 9.84 8.04 2.60 1.76 9.38 7.28 14.87 13.96 6.70 7.12 7.49 6.96 2.50 3.15 占比Proportion/% 21.83 20.75 13.41 12.91 15.97 14.41 34.40 33.23 10.23 8.19 19.96 18.41 7.21 7.59 7.38 6.71 4.53 5.72 表 3 1995-2016年福建省碳排放总量与驱动效应分解
Table 3. Makeup of total and driving forces of carbon emissions in Fujian, 1995-2016
(单位/104t) 碳排放种类
Carbon sources碳排放变动
Change in carbonemissions碳排放强度效应
Effect of carbonemission intensity农业收入效应
Effect of agriculturalincome就业结构效应
Effect of employmentstructure人口总量效应
Effect of grosspopulation农用物资与农地利用Agricultural inputs and farmland use 38.35 -18.29 19.94 -11.50 48.21 种植土壤排放Planting soil -4.83 -0.52 0.66 0.18 -5.15 稻田排放Paddy field -114.04 -12.26 15.47 4.34 -121.60 牲畜排放Livestock 1.40 -3.93 4.38 -1.88 2.83 合计Compounding -79.12 -35.00 40.45 -8.86 -75.72 表 4 2010-2016年福建省9个地级市碳排放总量分解
Table 4. Makeup of total and driving forces of carbon emissions in Fujian, 2010-2016
(单位/t) 地区
Region碳排放变动
Change in carbon emissions碳排放强度效应
Effect of carbon emission intensity农业收入效应
Effect of agricultural income就业结构效应
Effect of employment structure人口总量效应
Effect of gross population福州市Fuzhou City 17844 -19417 21870 -5150 20541 厦门市Xiamen City -22575 -1619 -862 7437 -27531 莆田市Putian City -41712 -10580 10807 3026 -44966 三明市Sanming City 9580 -37109 36405 -2883 13167 泉州市Quanzhou City -58201 -25891 26261 2406 -60976 漳州市Zhangzhou City -26873 -37665 39128 -3523 -24813 南平市Nanping City 20690 -51992 63378 -13459 22763 龙岩市Longyan City 13200 -33960 35722 -5255 16693 宁德市Ningde City -216 -28435 26913 53 1253 表 5 福建省9个地级市分碳源碳排放驱动效应分解
Table 5. Driving forces of carbon emissions at 9 prefecture-level municipalities in Fujian
(单位/t) 碳排放种类
Carbon sources碳排放变动
Change in carbon emissions碳排放强度效应
Effect of carbon emission intensity农业收入效应
Effect of agricultural income就业结构效应
Effect of employment structure人口总量效应
Effect of gross population福州市Fuzhou City 农用物资与农地利用Agricultural inputs and farmland use 21319 -15659 17041 -5148 25085 种植土壤排放Planting soil -54 -23 32 5 -69 稻田排放Paddy field -2984 -99 376 415 -3677 牲畜排放Livestock -437 -3636 4421 -422 -799 合计Compounding 17844 -19417 21870 -5150 20541 厦门市Xiamen City 农用物资与农地利用Agricultural inputs and farmland use -11350 -960 -408 3730 -13711 种植土壤排放Planting soil -131 -30 -1 42 -141 稻田排放Paddy field -2710 -150 -111 895 -3345 牲畜排放Livestock -8384 -479 -341 2769 -10334 合计Compounding -22575 -1619 -862 7437 -27531 莆田市Putian City 农用物资与农地利用Agricultural inputs and farmland use -13071 -7532 6836 241 -12617 种植土壤排放Planting soil -456 -195 183 20 -464 稻田排放Paddy field -21425 -1555 2378 2204 -24452 牲畜排放Livestock -6760 -1298 1410 560 -7433 合计Compounding -41712 -10580 10807 3026 -44966 三明市Sanming City 农用物资与农地利用Agricultural inputs and farmland use 6621 -17622 17362 -1599 8481 种植土壤排放Planting soil 694 -625 632 -108 795 稻田排放Paddy field -1980 -15923 15405 -561 -901 牲畜排放Livestock 4245 -2938 3006 -615 4793 合计Compounding 9580 -37109 36405 -2883 13167 泉州市Quanzhou City 农用物资与农地利用Agricultural inputs and farmland use 6110 -15339 14612 -4679 11516 种植土壤排放Planting soil -978 -608 607 -2 -975 稻田排放Paddy field -45316 -6451 7261 5233 -51360 牲畜排放Livestock -18017 -3493 3780 1853 -20157 合计Compounding -58201 -25891 26261 2406 -60976 漳州市Zhangzhou City 农用物资与农地利用Agricultural inputs and farmland use 25785 -31048 31608 -7640 32865 种植土壤排放Planting soil -408 -323 338 -13 -410 稻田排放Paddy field -31298 -4398 4948 2370 -34219 牲畜排放Livestock -20952 -1896 2234 1759 -23048 合计Compounding -26873 -37665 39128 -3523 -24813 南平市Nanping City 农用物资与农地利用Agricultural inputs and farmland use 39790 -20874 25812 -8321 43173 种植土壤排放Planting soil -88 -736 892 -155 -89 稻田排放Paddy field -13667 -26990 32617 -4725 -14568 牲畜排放Livestock -5345 -3392 4057 -258 -5753 合计Compounding 20690 -51992 63378 -13459 22763 龙岩市Longyan City 农用物资与农地利用Agricultural inputs and farmland use 10088 -11751 12461 -2477 11855 种植土壤排放Planting soil 547 -499 532 -119 634 稻田排放Paddy field 11681 -15601 16513 -3084 13853 牲畜排放Livestock -9115 -6108 6216 426 -9649 合计Compounding 13200 -33960 35722 -5255 16693 宁德市Ningde City 农用物资与农地利用Agricultural inputs and farmland use 26396 -16579 15150 -2999 30824 种植土壤排放Planting soil 154 -596 561 -17 206 稻田排放Paddy field -33342 -9278 9461 3818 -37343 牲畜排放Livestock 6576 -1981 1740 -749 7567 合计Compounding -216 -28435 26913 53 1253 -
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