太湖地区冬小麦田与蔬菜地N2O排放对比观测研究

2003年11月8日至2004年6月5日对太湖地区相邻的蔬菜地和稻麦轮作生态系统的冬小麦田,在当季不施肥情况下的N2O排放进行了田间同步对比观测,分析了N2O排放时间变化以及土壤湿度、土壤温度、土壤速效氮含量和农业管理措施对N2O排放的影响。研究结果表明,小麦播种前的耕翻(表层大约7cm土壤旋耕)处理不会明显改变稻麦轮作农田整个旱地阶段的N2O排放总量,但却使小麦生长季初期的N2O排放明显减弱69%(p<0.01,p为相关概率),使小麦生长季后期的N2O排放明显偏高2.6倍(p<0.05),而对其余时间段的N2O排放作用不明显。与长期实行稻麦轮作的旱地阶段农田相比,由稻田改种蔬菜20多年的蔬菜地,其整个观测期的N2O排放总量比免耕处理小麦田同期的排放高85%(p<0.05),比耕翻处理小麦田同期的排放高99%(p<0.01)。蔬菜地N2O排放偏高的原因是土壤速效氮,特别是铵态氮含量明显偏高(p<0.01)。     

种植不同作物对农田N2O和CH4排放的影响及其驱动因子

以种植玉米(Zea mays)、大豆(Glycine max)和水稻(Oryza sativa)的农田生态系统为研究对象,于2003年6~10月系统观测了N2O和CH4的排放、土壤温度和湿度以及相关的生物学因子。玉米和水稻分别施化肥氮300 kg.hm-2,大豆未施氮肥。研究结果表明,作物类型对农田N2O和CH4排放具有显著的影响。土壤-玉米系统、土壤-大豆系统和土壤-水稻系统的N2O季节性平均排放通量分别为620.5±57.6、338.0±7.5和238.8±13.6μg.m-2.h-1(N2O)。种植作物促进了农田生态系统的N2O排放,玉米地土壤和裸地土壤的N2O平均排放通量分别为364.2±11.7和163.7±10.5μg.m-2.h-1(N2O)。土壤-玉米系统、土壤-水稻系统、玉米地土壤和裸地土壤N2O排放受土壤温度的影响,与土壤湿度无显著统计相关,但受土壤温度和水分的综合影响。土壤-大豆系统N2O排放随作物绿叶干重的增加而指数增加,与土壤温度和水分条件无统计相关,由大豆作物自身氮代谢所产生的N2O-N季节总量约为6.2 kg.hm-2(N)。土壤-水稻系统CH4平均排放通量为1.7±0.1 mg.m-2.h-1(CH4),烤田抑制了稻田CH4的排放。烤田前影响稻田CH4排放的主要因素是水稻生物量,烤田后的浅水灌溉及湿润灌溉阶段的CH4排放与土壤温度和水稻生物量无关。本研究未观测到旱作农田有吸收CH4的现象。     

Nitrous Oxide Flux Estimates for South-Eastern Australia

Nitrous oxide (N₂O) fluxes for south-easternAustralia have been estimated using a combination ofthe in situ N₂O and radon (Rn) measurementsmade at the Cape Grim Baseline Air Pollution Station,in north-west Tasmania. The average N₂O fluxesfrom the south-eastern mainland of Australia and fromTasmania over the nine years of record analysed (1985–1993) have beenfound to be 130 ± 30 kgN km^-2yr^-1 and 160 ± 45 kgN km^-2yr^-1respectively. These fluxes are larger than expectedand a significant dependence of the flux on rainfallis observed, with greater fluxes in the spring (October–December) andduring periods of positive SouthernOscillation Index. A large flux (1,300 ± 500kgN km^-2 yr^-1) from a nearby island (KingIsland) was also estimated from the data record,indicating a strong source, although the small size ofthe island means that it is not a significant sourcefor Australia.     

Nitrous oxide emissions from fertilized and unfertilized soils in a subtropical region (Andalusia,Spain)

Field measurements of N₂O emission rates were carried out from August until October 1982 in a subtropical region in Europe, i.e. in Andalusia, Spain. The measurements were performed by using an automatic sampling and analysis technique allowing the semi-continuous determination of N₂O emission rates. The N₂O emission rates were positively correlated to the soil surface temperature and exhibited a diurnal rhythm with maximum rates in the afternoon and minimum rates in the early morning with average values of 1 g N₂O–N/m²/h for the grass lawn and 15 g N₂O–N/m²/h for cultivated land. Application of urea and ammonium nitrate resulted in elevated N₂O emission rates when compared to the unfertilized control. The loss of fertilizer-nitrogen as N₂O was 0.18% for urea and 0.04% for NH₄NO₃ which compares very well with data obtained in a temperate climate (Germany). The total source strength of fertilizer-derived N₂O is estimated to be 0.01–2.2 Tg N₂O–N per year. The N₂O flux from unfertilized natural soils may be as high as 4.5 Tg N₂O–N, indicating that the N₂O emission from soils contributes significantly to the global N₂O budget.     

Modeling N2O Emissions from Agricultural Fields in Southeast China

DNDC, a rainfall-driven and process-oriented model of soil carbon and nitrogen biogeochemistry, is applied to simulate the nitrous oxide emissions from agricultural ecosystem in Southeast China. We simulated the soil N₂O emission during a whole rice-wheat rotation cycle (from Nov. 1, 1996 to Oct. 31, 1997) under three different conditions, which are A) no fertilizer, B) both chemical fertilizer and manure and, C) chemical fertilizer only. The processes of N₂O emission were discussed in detail by comparing the model outputs with the results from field measurement. The comparison shows that the model is good at simulating most of the N₂O emission pulses and trends. Although the simulated N₂O emission fluxes are generally less than the measured ones, the model outputs during the dryland period, especially during the wheat reviving and maturing stages in spring, are much better than those during the paddy field period. Some sensitive experiments were made by simulating the N₂O emissions in spring, when there is a smallest gap between the simulated fluxes and the measured ones. Meanwhile, the effects of some important regulating factors, such as the rainfall, N deposition by rainfall, temperature, tillage, nitrogen fertilizer and manure application on N₂O emission during this period were analyzed. From the analysis, we draw a conclusion that soil moisture and fertilization are the most important regulating factors while the N₂O emission is sensitive to some other factors, such as temperature, manure, tillage and the wet deposition of atmospheric nitrate.     

A Process-based Model of N2O Emission from a Rice-Winter Wheat Rotation Agro-Ecosystem： Structure, Validation and Sensitivity

In order to numerically simulate daily nitrous oxide(N2O) emission from a rice-winter wheat rotation cropping system,a process-based site model was developed(referred to as IAP-N-GAS) to track the movement and transformation of several forms of nitrogen in the agro-ecosystem,which is affected by climate,soil,crop growth and management practices.The simulation of daily N2O fluxes,along with key daily environmental variables,was validated with three-year observations conducted in East China.The validation dem...     

1981—2010年黑龙江省夏季土壤湿度演变特征

利用1981—2010年黑龙江省土壤湿度数据,以富锦县、龙江县、双城县、黑河市、海伦县和宁安县为代表站点,分析黑龙江省东、西、南、北部和中部及牡丹江半山区各区域夏季（7—8月）0—50 cm土层土壤湿度的趋势变化和干湿变化,并采用Mann-Kendall法对土壤湿度变化趋势进行显著性和突变点检验。结果表明：夏季0—50 cm土层,黑河市、海伦县和龙江县土壤湿度在30 a间均有不同程度下降,尤其是西部的龙江县土壤湿度下降剧烈;而东部富锦县、南部的双城县和牡丹江半山区的宁安县土壤湿度无明显下降趋势。Mann-Kendall检验结果：近30 a中,黑龙江省夏季0—50 cm土层北部、西部和中部的黑河市、龙江县及海伦县土壤湿度下降趋势显著,并出现了突变区域,表明黑河地区、松嫩平原的西部和北部夏季土壤湿度的干旱化趋势和程度均越来越明显。黑龙江省中西部夏季土壤湿度年际间的下降可能与气候条件及土壤理化性质的改变等因素密切相关。     

Assessing and Mitigating N2O Emissions from Agricultural Soils

Agricultural cropping and animal production systems are important sources of atmospheric nitrous oxide (N2O). The assessment of the importance of N fertilization from synthetic fertilizer, animal wastes used as fertilizers and from N incorporated into the soil through biological N fixation, to global N2O emissions presented in this paper suggests that this source has been underestimated. We estimate that agricultural systems produce about one fourth of global N2O emissions. Methods of mitigating these emissions are presented which, if adopted globally could decrease annual N2O emissions from cropped soils by about 20%.     

Carbon dioxide, methane, and nitrous oxide emissions from a rice-wheat rotation as affected by crop residue incorporation and temperature

Field measurements were made from June 2001 to May 2002 to evaluate the effect of crop residue application and temperature on CO2, CH4, and N2O emissions within an entire rice-wheat rotation season.Rapeseed cake and wheat straw were incorporated into the soil at a rate of 2.25 t hm-2 when the rice crop was transplanted in June 2001. Compared with the control, the incorporation of rapeseed cake enhanced the emissions of CO2, CH4, and N2O in the rice-growing season by 12.3%, 252.3%, and 17.5%,respectively, while no further effect was held on the emissions of CO2 and N2O in the following wheatgrowing season. The incorporation of wheat straw enhanced the emissions of CO2 and CH4 by 7.1%and 249.6%, respectively, but reduced the N2O emission by 18.8% in the rice-growing season. Significant reductions of 17.8% for the CO2 and of 12.9% for the N2O emission were observed in the following wheatgrowing season. A positive correlation existed between the emissions of N2O and CO2 (R2 = 0.445, n =73, p ＜ 0.001) from the rice-growing season when N2O was emitted. A trade-off relationship between the emissions of CH4 and N2O was found in the rice-growing season. The CH4 emission was significantly correlated with the CO2 emission for the period from rice transplantation to field drainage, but not for the entire rice-growing season. In addition, air temperature was found to regulate the CO2 emissions from the non-waterlogged period over the entire rice-wheat rotation season and the N2O emissions from the nonwaterlogged period of the rice-growing season, which can be quantitatively described by an exponential function. The temperature coefficient (Q10) was then evaluated to be 2.3±0.2 for the CO2 emission and 3.9±0.4 for the N2O emission, respectively.     

Methane and nitrous oxide emissions from three paddy rice based cultivation systems in Southwest China

To understand methane (CH4) and nitrous oxide (N2O) emissions from permanently flooded rice paddy fields and to develop mitigation options, a field experiment was conducted in situ for two years (from late 2002 to early 2005) in three rice-based cultivation systems, which are a permanently flooded rice field cultivated with a single time and followed by a non-rice season (PF), a rice-wheat rotation system (RW) and a rice-rapeseed rotation system (RR) in a hilly area in Southwest China. The results showed that the total CH4 emissions from PF were 646.3±52.1 and 215.0±45.4 kg CH4 hm-2 during the rice-growing period and non-rice period, respectively. Both values were much lower than many previous reports from similar regions in Southwest China. The CH4 emissions in the rice-growing season were more intensive in PF, as compared to RW and RR. Only 33% of the total annual CH4 emission in PF occurred in the non-rice season, though the duration of this season is two times longer than the rice season. The annual mean N2O flux in PF was 4.5±0.6 kg N2O hm-2 yr-1. The N2O emission in the rice-growing season was also more intensive than in the non-rice season, with only 16% of the total annual emission occurring in the non-rice season. The amounts of N2O emission in PF were ignorable compared to the CH4 emission in terms of the global warming potential (GWP). Changing PF to RW or RR not only eliminated CH4 emissions in the non-rice season, but also substantially reduced the CH4 emission during the following rice-growing period (ca. 58%, P<0.05). However, this change in cultivation system substantially increased N2O emissions, especially in the non-rice season, by a factor of 3.7 to 4.5. On the 100-year horizon, the integrated GWP of total annual CH4 and N2O emissions satisfies PF>>RR≈RW. The GWP of PF is higher than that of RW and RR by a factor of 2.6 and 2.7, respectively. Of the total GWP of CH4 and N2O emissions, CH4 emission contributed to 93%, 65% and 59% in PF, RW and RR, respectively. These results suggest that changing PF to RW and RR can substantially reduce not only CH4 emission but also the total GWP of the CH4 and N2O emissions.     

华东稻麦轮作农田CH4、N2O和NO排放特征

利用同步自动观测系统对华东稻麦轮作农田的CH4、N2O和NO排放进行了长期连续观测,分析了这3种气体排放的季节特征及决定因素,结果表明,华东稻麦轮作农田的CH4、N2O和NO排放具有完全不同的季节变化形式。CH4的排放发生在水稻生长期,其他阶段排放不明显,土壤水分状况是决定整个轮作周期内CH4排放变化的主要因素。N2O排放具有"冬季无,水田少,旱地多"的季节变化特点,尤其以旱地阶段的排放为主,土壤水分状况和温度共同决定着N2O排放的季节变化形式。NO排放具有"冬季无,水田很少,春季旱地多于秋季旱地"的季节分布特点,轮作周期内97.3%±0.6%的NO排放都发生在除冬季以外的旱地阶段,NO排放的季节变化形式由土壤水分状况和温度共同决定。大多数情况下稻田CH4和N2O排放呈互为消长的关系,但在烤田期间,二者却有时甚至同时出现高排放。在N2O日平均排放通量小于5 mg.m-2.h-1时,稻麦轮作农田的N2O和NO排放呈明显的互为消长关系,但大于5 mg.m-2.h-1时,N2O排放很强,同时NO排放也很强。     

华东地区稻麦轮作农田生态系统N2O排放的模拟研究

利用DNDC（DeNitrification and DeComposition）模式,对华东地区典型稻麦轮作农田生态系统的N2O排放特征进行了模拟研究。结果表明：该模式能模拟出轮作周期中N2O的主要排放峰值和排放趋势,但与实测值相比,模拟结果普遍有些偏小。相对而言,该模式对旱地阶段的模拟结果比较理想,尤其是对春季小麦返青至成熟期的模拟最好。因此,我们就该阶段影响N2O排放的主要因子进行了敏感性研究。结果指出,对这一阶段N2O排放影响最大的是化肥的施用,其他比较重要的影响因子还包括犁地方式、有机肥、降水量、降水中的N含量以及温度等。     

A timescale decomposed threshold regression downscaling approach to forecasting South China early summer rainfall

A timescale decomposed threshold regression(TSDTR) downscaling approach to forecasting South China early summer rainfall(SCESR) is described by using long-term observed station rainfall data and NOAA ERSST data. It makes use of two distinct regression downscaling models corresponding to the interannual and interdecadal rainfall variability of SCESR.The two models are developed based on the partial least squares(PLS) regression technique, linking SCESR to SST modes in preceding months on both interannual and interdecadal timescales. Specifically, using the datasets in the calibration period 1915–84, the variability of SCESR and SST are decomposed into interannual and interdecadal components. On the interannual timescale, a threshold PLS regression model is fitted to interannual components of SCESR and March SST patterns by taking account of the modulation of negative and positive phases of the Pacific Decadal Oscillation(PDO). On the interdecadal timescale, a standard PLS regression model is fitted to the relationship between SCESR and preceding November SST patterns. The total rainfall prediction is obtained by the sum of the outputs from both the interannual and interdecadal models. Results show that the TSDTR downscaling approach achieves reasonable skill in predicting the observed rainfall in the validation period 1985–2006, compared to other simpler approaches. This study suggests that the TSDTR approach,considering different interannual SCESR-SST relationships under the modulation of PDO phases, as well as the interdecadal variability of SCESR associated with SST patterns, may provide a new perspective to improve climate predictions.     

土壤含水量与温度对羊草、大针茅典型草原土壤—植物系统温室气体收支影响的初步研究

本研究首次以我国内蒙古典型草原生态系统为研究对象,以密闭箱法对土壤－植物系统与大气间Ｎ２Ｏ和ＣＨ４气体交换进行了原位观测研究,通过结合实验室模拟实验研究表明,土壤含水量和温度对草原土壤－植物系统温室气体（Ｎ２Ｏ和ＣＨ４）排放通量有着重要的影响。在一定范围内,土壤含水量增加促进草原生态系统Ｎ２Ｏ排放和ＣＨ４吸收作用。温度升高促进草原生态系统Ｎ２Ｏ排放,但对ＣＨ４吸收的影响作用不明显。     

华东稻田CH4和N2O排放

稻田CH4和N2O排放的季节变化规律完全不同，两者的排放通量随土壤水分条件变化而互为消长，但它们的日变化形式则比较一致。晴天时的CH4和N2O排放日变化规律明显，主要表现为下午单峰模态，有时CH4排放夜间出现一个次峰。CH4和N2O排放总量因肥料类型而不同，堆肥加尿素处理比NH4HCO3处理少排放N2O 30%，多排放CH4 12%。     

2006-2010年下辽河平原地温和土壤热通量变化特征

依据国家沈阳农田生态系统野外研究站2006-2010年监测数据,分析0-100cm 土层8个层次的地温、0-100 cm地温、地温极值、0-20 cm地温与气温的关系和土壤热通量的变化趋势。结果表明：从年际变化看,8个层次地温和地温极值呈下降趋势;0 cm层次地温变化受外界影响较大。研究区域年尺度0-20 cm地温与气温有比较一致的变化规律。作物生长季节,可分为4-7月气温上升和8-10月气温下降两阶段;这两个不同阶段的0-20 cm地温与气温分别做线性拟合,与整个生长季4-10月线性拟合相比,线性相关性可信度更高。土壤热通量受气温和土壤质量含水量影响年际变化较大,年尺度土壤热通量≥0 MJ/m²,该区域地表是热汇。     

不同施肥处理下双季稻田CH4和N2O排放的全年观测研究

选取湖南典型红壤双季稻田为研究对象,采用静态箱—气相色谱法对不施肥对照(CK)、常规施化肥(NPK)、新鲜稻草与化肥配施(RS+ NPK1)、菌渣与化肥配施(MR+ NPK1)、新鲜牛粪与化肥配施(CD+NPK2)和沼渣与化肥配施(BD+NPK2)等6个处理的CH4和N2O排放通量进行为期一年的观测(早稻、晚稻和休闲期...     

基于多元线性回归的滇西南短时强降水预报模型研究

利用云南省普洱市2015—2017年多普勒天气雷达资料、探空资料和气象观测站5 min雨量观测资料,分析了普洱地区研究期间41次短时强降水的环境场和雷达回波演变特征。结果表明:中尺度辐合线、中气旋、逆风区是强降水触发和维持的重要成因。短时强降水发生前,整层大气水汽充沛,静力不稳定层结,大气可降水量(PW)≥35 mm、SI≤-0. 23、K> 35,可作为环境场对流潜势的判定因子;短时强降水发生时,雷达回波最强反射率因子≥40 d Bz,35 d Bz回波顶高> 5 km,径向速度的辐合切变量> 5 m·s^-1。通过多元线性回归分析,选取4个相关性显著的影响因子,建立普洱市短时强降水预报模型。所选预报因子包括:35 d Bz回波顶高、30 d Bz垂直剖面中心高度、30 d Bz以上雷达回波面积和SI。预报模型的回报检验表明,普洱短时强降水平均雨强相对均方根误差为17. 0%,局地降水持续时间相对均方根误差为33. 9%,局地过程降水相对均方根误差为25. 6%,回报效果较好。4次短时强降水预报检验中,平均雨强的预报误差每5 min小于1. 2 mm,局地强降水持续时间的预报误差小于10 min,局地过程降水的预报误差小于4 mm,模型均预报出局地连续性降水超过50 mm。预报模型有较好的预报能力,可应用于普洱短时强降水的临近预报预警。     

A Re-examination of Density Effects in Eddy Covariance Measurements of CO2 Fluxes

Corrections of density effects resulting from air-parcel expansion/compression are important in interpreting eddy covariance fluxes of water vapor and CO2 when open-path systems are used. To account for these effects, mean vertical velocity and perturbation of the density of dry air are two critical parameters in treating those physical processes responsible for density variations. Based on various underlying assumptions, different studies have obtained different formulas for the mean vertical velocity and perturbation of the density of dry air, leading to a number of approaches to correct density effects. In this study, we re-examine physical processes related to different assumptions that are made to formulate the density effects. Specifically, we re-examine the assumptions of a zero dry air flux and a zero moist air flux in the surface layer, used for treating density variations, and their implications for correcting density effects. It is found that physical processes in relation to the assumption of a zero dry air flux account for the influence of dry air expansion/compression on density variations. Meanwhile, physical processes in relation to the assumption of a zero moist air flux account for the influence of moist air expansion/compression on density variations. In this study, we also re-examine mixing ratio issues. Our results indicate that the assumption of a zero dry air flux favors the use of the mixing ratio relative to dry air, while the assumption of a zero moist air flux favors the use of the mixing ratio relative to the total moist air. Additionally, we compare different formula for the mean vertical velocity, generated by air-parcel expansion/compression, and for density effect corrections using eddy covariance data measured over three boreal ecosystems.