Modelling dynamics of emission of greenhouse gases (CO2, N2O) from soils in agroecosystems

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Abstract

Problem formulation. One of the main factors affecting climate change is the greenhouse effect conditioned by adding greenhouse gases to the atmosphere, among which CO2, CH4 and N2O are the most dangerous heat-trapping gases. In addition to anthropogenic activities, the source of greenhouse gases is emissions from natural ecosystems and agroecosystems. Carbon dioxide (CO2) accounts for the largest share of greenhouse gas emissions, nitrous oxide (N2O) also has large global warming potential, being nearly 300 times higher than CO2 on a weight basis. The purpose of the study is to create the integrated model of greenhouse gas emissions from soils in the agroecosystems on the basis of studies concerning modelling carbon dioxide emissions from mineral soils, quantitatively describing nitrous oxide emissions and modelling agroecosystem productivity. Methods. Mathematical modelling of environmental processes, the synthesis of quantitative approaches to their description. Results. The results of modelling greenhouse gas emissions from soils in agro-ecosystems during 2017-2019 obtained by means of the integrated model developed showed that there is an interseasonal and interannual variability of CO2 and N2O fluxes. The higher CO2 flow rate was observed in 2017, in 2018 the lower CO2 emission intensity was discovered and in 2019 the CO2 flow rate was even lower. The emission of greenhouse gases varies depending on soil temperature, moisture and humus level of the soil. The equally low level of CO2 fluxes was observed at sufficiently low (from 1 to 6°C) soil temperatures. It was 0.072 – 0.401 g C-CO2/m2/day. The highest level of CO2 emission was observed in 2017 with a combination of high soil temperature (24-27°C) and sufficient soil moisture, and varies between 1,058 to 1,307 g С- CO2/m2/day. It was revealed that the most intense emission of N2O was observed during periods of high soil moisture when anaerobic conditions were established in the soil. The denitrification process was particularly intense in the spring of 2019, when the seasonal precipitation sum was 226 mm, and water-filled pore space (WFPS) reached more than 0.8 relative units. The average emission level of N2O was 15.592 g N-N2O/m2/day over this period, and the total N2O emission was the highest (1.134 kg of N-N2O/ha). The N2O emission intensity varied depending on the meteorological seasons. In the spring of 2017 and spring of 2018, the total N2O emission was 0.153–0.173 kg N-N2O/ha. The N2O emissions reached to 0.202-0.503 kg N-N2O/ha in the summer season and 0.192-0.660 kg N-N2O/ha in the autumn. The highest emission levels were observed in the spring seasons (2018 and 2019) and in the autumn months (2017 and 2018), an increase in soil moisture worsened soil aeration, which led to an intensive denitrification process. In total, for the three meteorological seasons the highest emission was in 2019 (1.567 kg N- N2O/ha). The emission level was lower in 2018 (1.323 kg N-N2O/ha) and even lower in 2017 (0.569 kg N-N2O/ha). Conclusions. Based on the synthesis of approaches to modelling CO2, N2O emissions and agroecosystem productivity, an integrated model of greenhouse gas emissions from soils in agro-ecosystems has been developed (plant-agrosoil-GHG-model). The interseasonal and interannual variability of CO2 and N2O fluxes and their dependence on weather conditions and humus level of the soil have been obtained.
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农业生态系统中土壤温室气体(CO2, N2O)排放的模拟动力学
问题公式化。影响气候变化的主要因素之一是由向大气中添加温室气体而引起的温室效应,其中CO2、CH4和N2O是最危险的吸热气体。除人为活动外,温室气体的来源是自然生态系统和农业生态系统的排放。二氧化碳(CO2)占温室气体排放的最大份额,一氧化二氮(N2O)也具有很大的全球变暖潜力,按重量计算比二氧化碳高出近300倍。本研究旨在建立农业生态系统中土壤温室气体排放的综合模型,其基础是对矿质土壤二氧化碳排放的模拟、对氧化亚氮排放的定量描述和对农业生态系统生产力的模拟。环境过程的数学建模,对其描述的综合定量方法。结果。利用构建的综合模型对2017-2019年农业生态系统土壤温室气体排放进行模拟,结果表明CO2和N2O通量存在季节和年际变化。2017年CO2流量较高,2018年CO2排放强度较低,2019年CO2流量更低。温室气体的排放取决于土壤的温度、湿度和腐殖质水平。在足够低的土壤温度(从1°C到6°C)下观察到同样低的二氧化碳通量。0.072 ~ 0.401 g C-CO2/m2/d。2017年,土壤温度高(24-27°C)且土壤湿度充足时,CO2排放水平最高,在1,058至1,307 g С- CO2/m2/day之间变化。结果表明,在土壤中建立厌氧条件时,N2O排放最强烈。2019年春季反硝化过程尤为强烈,季节降水总和为226 mm,充水孔空间(WFPS)达到0.8个相对单位以上。N2O的平均排放量为15.592 g N-N2O/m2/d,总排放量最高(1.134 kg N-N2O/ha)。N2O排放强度随气象季节而变化。2017年春季和2018年春季N2O总排放量为0.153 ~ 0.173 kg N-N2O/ha。夏季N2O排放量为0.202 ~ 0.503 kg N-N2O/ha,秋季N2O排放量为0.192 ~ 0.660 kg N-N2O/ha。在春季(2018年和2019年)和秋季(2017年和2018年)观测到的排放水平最高,土壤水分的增加使土壤通气性恶化,从而导致强烈的反硝化过程。在三个气象季节中,总排放量最高的是2019年(1.567 kg N- N2O/ha)。2018年排放水平较低(1.323 kg N-N2O/ha), 2017年更低(0.569 kg N-N2O/ha)。在综合CO2、N2O排放和农业生态系统生产力模拟方法的基础上,建立了农业生态系统土壤温室气体排放综合模型(植物-农业土壤-温室气体模型)。得到了CO2和N2O通量的季节和年际变化及其对气候条件和土壤腐殖质水平的依赖。
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