降雨和土壤湿度对贵州旱田土壤N2O释放的影响

以南方亚热带代表性旱田土壤-贵州玉米-油菜轮作田、大豆-冬小麦轮作田和休耕地为观测对象,研究土壤N2O释放通量季节变化与降雨和土壤湿度的关系,同时,采用DNDC模型定量探讨了未来降雨量变化对土壤N2O释放的潜在影响,结果表明,降雨与N2O释放峰间存在明显的驱动-响应关系,N2O释放通量与降雨量和土壤湿度间存在正相关性,模型检验结果表明,夏秋季土壤N2O释放通量与降雨量变化呈正相关,而降雨量的大幅度增加或下降将引起冬春季土壤N2O释放通量的微弱下降。     

间作对旱地CO2和N2O排放影响的研究进展

农田温室气体排放是近年来科学界的研究热点,采用合适的种植模式是减少农田温室气体排放的有效途径之一.本文综述了作物间作对旱地土壤CO₂和N₂O排放的影响及机理.合理间作能够提高土壤有机碳(SOC)含量、促进不同作物秸秆向SOC转化、降低SOC矿化速率,从而减少CO₂排放.禾本科与豆科作物间作能够在维持作物产量的情况下,减少化学氮肥投入、土壤有效氮残留及还田秸秆产生的无机氮,降低N₂O排放.间作作物的互作、田间小气候环境的改善也是影响土壤温室气体排放的重要因素.今后,要增加土壤温室气体监测时长并对影响因子进行综合、全面的分析,尤其是从分子水平探究间作模式下土壤微生物对温室气体产生过程的作用机理,为构建环境友好型农业模式提供科学依据.     

Assessing uncertainties in crop and pasture ensemble model simulations of productivity and N2O emissions

Simulation models are extensively used to predict agricultural productivity and greenhouse gas emissions. However, the uncertainties of (reduced) model ensemble simulations have not been assessed systematically for variables affecting food security and climate change mitigation, within multi‐species agricultural contexts. We report an international model comparison and benchmarking exercise, showing the potential of multi‐model ensembles to predict productivity and nitrous oxide (N₂O) emissions for wheat, maize, rice and temperate grasslands. Using a multi‐stage modelling protocol, from blind simulations (stage 1) to partial (stages 2–4) and full calibration (stage 5), 24 process‐based biogeochemical models were assessed individually or as an ensemble against long‐term experimental data from four temperate grassland and five arable crop rotation sites spanning four continents. Comparisons were performed by reference to the experimental uncertainties of observed yields and N₂O emissions. Results showed that across sites and crop/grassland types, 23%–40% of the uncalibrated individual models were within two standard deviations (SD) of observed yields, while 42 (rice) to 96% (grasslands) of the models were within 1 SD of observed N₂O emissions. At stage 1, ensembles formed by the three lowest prediction model errors predicted both yields and N₂O emissions within experimental uncertainties for 44% and 33% of the crop and grassland growth cycles, respectively. Partial model calibration (stages 2–4) markedly reduced prediction errors of the full model ensemble E‐median for crop grain yields (from 36% at stage 1 down to 4% on average) and grassland productivity (from 44% to 27%) and to a lesser and more variable extent for N₂O emissions. Yield‐scaled N₂O emissions (N₂O emissions divided by crop yields) were ranked accurately by three‐model ensembles across crop species and field sites. The potential of using process‐based model ensembles to predict jointly productivity and N₂O emissions at field scale is discussed.     

双氢胺对土壤裂缝产生过程中N2O释放的影响

模拟稻田土壤在加入不同量的（NH4）2SO4和双氢按（DCD）抑制剂的溶液后先进行淹水培养,然后让土壤自然蒸发变干,直至土壤产生裂缝到裂缝稳定,最后在裂缝稳定后的复水的连续培养试验。通过模拟对土壤进行复杂的、动态的水分含量变化过程中试验,探讨双氢胺抑制剂对其N2O释放的影响。每天监测土体释放的N2O通量,以及渗漏液中溶解的N2O浓度和pH值。这些监测结果表明：在相同的水分管理条件下,土壤中没有氮肥加入,只有DCD加入的A处理释放N2O气体最少,其平均释放通量为340.91μgm^-2h^-1;土壤中有高剂量的氮肥和DCD加入的E处理释放N2O最多,其平均释放通量为9280.23μgm^-2h^-1。裂缝产生稳定后的复水能减少N2O向空气中的释放。渗漏液中的N2O浓度都是过饱和的。当土壤中肥料（NH4）2SO4加入量（每千克土壤中外加N≤3g）相对较少的情况下,DCD抑制剂能抑制裂缝产生过程中的N2O释放;当土壤中肥料（NH4）2SO4加入量（每千克土壤中外加N≥6g）相对较多的情况下,DCD抑制裂缝产生过程中的N2O释放效果不明显。此外还得出（NH4）2SO4和DCD的加入量比是10：1时,其抑制N2O排放的效果比（NH4）2SO4和DCD的加入量比分别是10：1.5和10：2要好。土体释放的N2O通量和渗漏液中溶解的N2O浓度之间不存在相关性,土体释放的N2O通量和渗漏液中的pH值之间也不存在相关性。但是渗漏液中的N：O浓度和pH值之间存在显著的正线性相关关系。     

Effects of elevated CO2 and O3 on N-cycling and N2O emissions: a short-term laboratory assessment

Background and aims

Elevated atmospheric CO₂ (eCO₂) and tropospheric O₃ (eO₃) can alter soil microbial processes, including those underlying N₂O emissions, as an indirect result of changes in plant inputs. In this study, effects of eCO₂ and eO₃ on sources of N₂O in a soybean (Glycine max (L.) Merr.) agroecosystem in Illinois (SoyFACE) were investigated. We hypothesized that increases in available C and anaerobic microhabitat under eCO₂ would stimulate N₂O emissions, with a proportionally larger increase in denitrification derived N₂O (N₂O_D) compared to nitrification plus nitrifier denitrification derived N₂O (N₂O_N+ND). We expected opposite effects under eO₃.

Methods

Isotopically labeled ¹⁵NH ₄ ¹⁴ NO₃ and ¹⁴NH ₄ ¹⁵ NO₃ were used to evaluate mineral N transformations, N₂O_D, and N₂O_N+ND in a 12-day incubation experiment.

Results

We observed minimal effects of eCO₂ and eO₃ on N₂O emissions, movement of ¹⁵?N through mineral N pools, soil moisture content and C availability. Possibly, altered C and N inputs by eCO₂ and eO₃ were small relative to the high soil organic C content and N-inputs via biological N₂-fixation, minimizing potential effects of eCO₂ and eO₃ on N-cycling.

Conclusion

We conclude that eCO₂ and eO₃ did not affect N₂O emissions in the short term. However, it remains to be tested whether N₂O emissions in SoyFACE will be unaltered by eCO₂ and eO₃ on a larger temporal scale under field conditions.     

Denitrification and N2O emissions from a UK pasture soil following the early spring application of cattle slurry and mineral fertiliser

Total denitrification and nitrous oxide (N₂O) losses were measured from three contrasting dairy management systems representing good commercial practice (system 1), production maintained but with reduced N losses (system 2); and nitrate leaching less than 50 mg L^-1 but with reduced production (system 3). Measurements were made following mineral fertiliser application and from two plot experiments where four treatments were applied: control, NH₄NO₃ at 60 kg N ha^-1, cattle slurry applied to the surface (equivalent to 45 kg N ha^-1), and cattle slurry injected. Despite low soil temperatures (<6 °C) and low rainfall (<3 mm), total denitrification and N₂O losses peaked at 56 and 16 g N ha^-1 d^-1, respectively. Total denitrification losses decreased: system 1 system 2 > system 3, whereas N₂O losses decreased: system 2 > system 3 > system 1. Total denitrification losses tended to decrease with decreasing fertiliser application rate, whereas fertiliser application rate was not the sole determinant of the N₂O loss. The system 3 field was injected with cattle slurry for 2 yr, system 2 received some slurry by injection and system 1 received slurry to the surface. Thus, the amount, timing and method of previous cattle slurry application was important in determining the loss following subsequent fertiliser application. For the plot experiments, total denitrification and N₂O losses decreased in the order: slurry injected > mineral fertiliser > slurry applied to the surface > control for 5 days following application. However, 16 and 19 days after application, N₂O losses above the control were measured from plots that had received cattle slurry. It was inferred that the application of cattle slurry to the pasture soil stimulated greater N₂O production and increased losses over a longer time period compared with mineral fertiliser additions.     

Dicyandiamide and 3,4-dimethyl pyrazole phosphate decrease N2O emissions from grassland but dicyandiamide produces deleterious effects in clover

The application of nitrogen fertilisers leads to different ecological problems such as nitrate leaching and the release of nitrogenous gases. N₂O is a gas involved in global warming, therefore, agricultural soils can be regarded as a source of global warming. Soil N₂O production comes from both the nitrification and denitrification processes. From an ecological viewpoint, using nitrification inhibitors with ammonium based fertilisers may be a potential management strategy to lower the fluxes of N₂O, thus decreasing its undesirable effect. In this study, the nitrification inhibitors (NIs) dicyandiamide (DCD) and 3,4-dimethyl pyrazole phosphate (DMPP) have been evaluated as management tools to mitigate N₂O emissions from mineral fertilisation and slurry application in grassland systems (experiments 1 and 2), and to assess the phytotoxic effect of these inhibitors per se on clover (experiment 3). Both nitrification inhibitors acted in maintaining soil nitrogen (N) in ammonium form, decreasing cumulative N₂O emissions. DCD, but not DMPP, produced phytotoxic effects and yield reduction in white clover. A nutrient imbalance, which led to a senescence process visually observed as chlorosis and necrosis at the border of the leaves, was noted.     

渗滤液负荷和灌溉深度对土壤氧化亚氮与二氧化碳释放的影响

采用预设取样器和静态箱气相色谱法,对渗滤液灌溉条件下,土柱土壤不同深度剖面 N2O的浓度以及N2O和CO2的表面释放通量进行了监测.结果表明: 渗滤液灌溉可促进N2O的生成和释放,灌溉后24 h内土柱N2O的释放通量与表土下10 cm(r=0.944,P< 0.01)、20 cm(r=0.799,P<0.01)、30 cm(r=0.666,P<0.01)和40 cm(r=0.482,P<0.05)处所生成的N2O浓度呈显著相关,且相关程度依次递减.渗滤液灌溉还促进了CO2的释放,但N2O与CO2释放通量之间无显著相关性(P>0.05).渗滤液的灌溉负荷主要决定温室气体释放总量的强弱(N2O和CO2,以CO2当量计),灌溉负荷为6 mm·d-1条件下温室气体释放总量为灌溉负荷2 mm·d-1的3倍多.采用表土下20 cm处灌溉方式可比表土下10 cm处灌溉方式削减47%的温室气体释放总量.渗滤液灌溉土壤14 d内,N2O释放量约占温室气体释放总量的57.0%～91.0%.     

Effects of bovine urine, plants and temperature on N2O and CO2 emissions from a sub-tropical soil

Grazing ruminants urinate and deposit N onto pastoral soils at rates up to 1,000 kg ha^?1, with most of this deposited N present as urea. In urine patches, nitrous oxide (N₂O) emissions can increase markedly. Soil derived CO₂ fluxes can also increase due to priming effects.While N₂O fluxes are affected by temperature, no studies have examined the interaction of pasture plants, urine and temperature on N₂O fluxes and the associated CO₂ fluxes. We postulated the response of N₂O emissions to bovine urine application would be affected by plants and temperature. Dairy cattle urine was collected, labelled with ¹⁵N, and applied at 590 kg N ha^?1 to a sub-tropical soil,with and without pasture plants at 11°, 19°, and 23°C. Over the experimental period (28 days), 0.2% (11°C with plants) to 2.2% (23°C with plants) of the applied N was emitted as N₂O. At 11°C, plants had no effect on cumulative N₂O-N fluxes, whereas at 23°C, the presence of plants significantly increased the flux, suggesting plant-derived C supply affected the N₂O producing microbes. In contrast, a significant urine application effect on the cumulative CO₂ flux was not affected by varying temperature from 11?C23°C or by growing plants in the soil. This study has shown that plants and their responses to temperature affect N₂O emissions from ruminant urine deposition. The results have significant implications for forecasting and understanding the effect of elevated soil temperatures on N₂O emissions and CO₂ fluxes from grazed pasture systems.     

Influence of nutrient solution pH on N2O and N2 emissions from a soilless culture system

The influence of nutrient solution pH on the emission of N2O and N2 was investigated during cultivation of cucumbers in a closed-loop rockwool system. Between pH 4 and 7 these gaseous nitrogen losses increased from 1.6 to 21.1% of the N fertilizer input. This was equivalent to average flux rates of 0.06 and 0.85 kg nitrogen per hectare greenhouse area and day, respectively. The N2O/N2 ratio was inversely related to the total gaseous nitrogen losses. At neutral pH dinitrogen was the main emission product, whereas more acidic conditions favoured the emission of nitrous oxide. The pH effects were probably not indirectly affected by root respiration or exudation as much as by a direct inhibition of the activity of denitrifying microorganisms due to high H+ concentrations since similar results were obtained in unplanted nutrient solution systems with the addition of glucose as carbon source. Despite the low microbial denitrification activity under acidic conditions, nitrogen balance deficits of up to one-fifth of the N input still occurred. It is suggested these losses were predominantly caused by chemodenitrification.     

开放式空气CO2增高对稻田CH4和N2O排放的影响

在FACE(free aircarbondioxideenrichment)平台上 ,采用静态暗箱 气相色谱法观测研究了大气CO2 浓度增加对稻田CH4和N2 O排放的影响 .结果表明 ,在 15 0和 2 5 0kgN·hm-2 两种氮肥水平下大气CO2 浓度增加 2 0 0 μmol·mol-1均明显促进水稻生长 ,水稻生物量积累 .大气CO2 浓度增加对 15 0和 2 5 0kgN·hm-2 两种氮肥水平下稻田CH4排放均无显著影响 ,并简要分析了与现有文献报道结果不一致的原因 .大气CO2 浓度增加也未导致 15 0和 2 5 0kgN·hm-2 两种氮肥水平下稻田N2 O排放的明显变化 ,与大多数研究结果一致 .     

Decreased N2O reduction by low soil pH causes high N2O emissions in a riparian ecosystem

Quantification of harmful nitrous oxide (N(2)O) emissions from soils is essential for mitigation measures. An important N(2)O producing and reducing process in soils is denitrification, which shows deceased rates at low pH. No clear relationship between N(2)O emissions and soil pH has yet been established because also the relative contribution of N(2)O as the denitrification end product decreases with pH. Our aim was to show the net effect of soil pH on N(2)O production and emission. Therefore, experiments were designed to investigate the effects of pH on NO(3)(-) reduction, N(2)O production and reduction and N(2) production in incubations with pH values set between 4 and 7. Furthermore, field measurements of soil pH and N(2)O emissions were carried out. In incubations, NO(3)(-) reduction and N(2) production rates increased with pH and net N(2)O production rate was highest at pH 5. N(2)O reduction to N(2) was halted until NO(3)(-) was depleted at low pH values, resulting in a built up of N(2)O. As a consequence, N(2)O:N(2) production ratio decreased exponentially with pH. N(2)O reduction appeared therefore more important than N(2)O production in explaining net N(2)O production rates. In the field, a negative exponential relationship for soil pH against N(2)O emissions was observed. Soil pH could therefore be used as a predictive tool for average N(2)O emissions in the studied ecosystem. The occurrence of low pH spots may explain N(2)O emission hotspot occurrence. Future studies should focus on the mechanism behind small scale soil pH variability and the effect of manipulating the pH of soils.     

Short term effect of ploughing a permanent pasture on N2O production from nitrification and denitrification

Soils are an important source of N₂O, which can be produced both in the nitrification and the denitrification processes. Grassland soils in particular have a high potential for mineralization and subsequent nitrification and denitrification. When ploughing long term grassland soils, the resulting high supply of mineral N may provide a high potential for N₂O losses. In this work, the short-term effect of ploughing a permanent grassland soil on gaseous N production was studied at different soil depths. Fertiliser and irrigation were applied in order to observe the effect of ploughing under a range of conditions. The relative proportions of N₂O produced from nitrification and denitrification and the proportion of N₂ gas produced from denitrification were determined using the methyl fluoride and acetylene specific inhibitors. Irrespectively to ploughing, fertiliser application increased the rates of N₂O production, N₂O production from nitrification, N₂O production from denitrification and total denitrification (N₂O + N₂). Application of fertiliser also increased the denitrification N₂O/N₂ ratio both in the denitrification potential and in the gaseous N productions by denitrification. Ploughing promoted soil organic N mineralization which led to an increase in the rates of N₂O production, N₂O production from nitrification, N₂O production from denitrification and total denitrification (N₂O + N₂). In both the ploughed and unploughed treatments the 0–10 cm soil layer was the major contributing layer to gaseous N production by all the above processes. However, the contribution of this layer decreased by ploughing, gaseous N productions from the 10 to 30 cm layer being significantly increased with respect to the unploughed treatment. Ploughing promoted both nitrification and denitrification derived N₂O production, although a higher proportion of N₂O lost by denitrification was observed as WFPS increased. Recently ploughed plots showed lower denitrification derived N₂O percentages than those ploughed before as a result of the lower soil water content in the former plots. Similarly, a lower mean nitrification derived N₂O percentage was found in the 10–30 cm layer compared with the 0–10 cm.     

Concepts in modelling N2O emissions from land use

Modelling nitrous oxide (N₂O) emissions from soil is challenging because multiple biological processes are involved that each respond differently to various environmental and soil factors. Soil water content, organic carbon, temperature and pH are often used in models that predict N₂O emissions, yet for each of these factors there are concepts that are not fully understood. Though a ubiquitous measure of soil water for models, the application of functions based on water filled pore space across soils that vary in bulk density is not ideal. Diffusion of gases and solutes in soil are controlled by the volume fractions of air and water present. Across soils with different bulk densities, both of these terms vary at constant water filled pore space. Soil organic carbon influences N₂O emissions in two ways: as a source of energy for denitrifiers and also by driving biological oxygen demand and the creation of anaerobic zones in the soil. Soil temperature influences N₂O emissions through its effect on the activity of microorganisms and enzymes. A variety of temperature response functions have been proposed. The preferred response function should contain a temperature optimum that can be varied in response to climatic conditions to account for microbial adaptation. Soil pH can have direct and indirect influences on rates and product ratios of nitrification and denitrification. The concepts of pH optima and microbial adaptation need to be considered in modelling. Methodological issues such as microsite versus bulk soil measurements and apportioning N₂O fluxes to the various N transformation processes remain an impediment to characterising the influence of pH and other factors on N₂O emissions. Quantifying the response of N₂O emissions to individual factors using regression analysis requires all other factors to be controlled experimentally. Boundary line analysis provides a way of defining the response to a single input variable where other influencing variables are not controlled. Such analyses can aid in the definition of the shape and magnitude of response functions to be incorporated into process simulation models. Process/mechanistic simulation models offer a greater transferability than empirical models but careful consideration of temporal and spatial scale and the availability of data to run these models is critical in developing model structure.     

Effects of tillage, simulated cattle grazing and soil moisture on N2O emissions from a winter forage crop

Nitrous oxide (N₂O) emissions to the atmosphere from grazed pasture can be high, especially from urine-affected areas. When pastoral soils are damaged by animal treading, N₂O emissions may increase. In New Zealand, autumn-sown winter forage crops are often grown as a break-crop prior to re-sowing pasture. When these crops are grazed in situ over winter (as is common in New Zealand) there is high risk of soil damage from animal treading as soil moisture contents are often high at this time of year. Moreover, the risk of soil damage during grazing increases when intensive tillage practices are used to establish these forage crops. Consequently, winter grazed forage crops may be an important source of N₂O emissions from intensive pastoral farming systems, and these emissions may be affected by the type of tillage used to establish them. We conducted a replicated field experiment to measure the effects of simulated cattle grazing (mowing followed by simulated treading and the application of synthetic urine) at three soil moisture contents (< field capacity, field capacity and > field capacity) on measured N₂O emissions from soil under an autumn (March) sown winter forage crop (triticale) established with three levels of tillage intensity: (a) intensive, IT, (b) minimum, MT, or (c) no tillage, NT. In all treatments, bulk density in the top 7.5 cm of the soil was unaffected by treading when simulated grazing occurred at < field capacity. It was increased in the IT plots by 13 and 15% when treading occurred at field capacity and > field capacity, and by 10% in the MT plots trodden at > field capacity. Treading did not significantly increase the bulk density in the NT plots. Emissions of N₂O from the tillage treatments decreased in the order IT > MT > NT. N₂O emissions were greatest from plots that were trodden at > field capacity and least from plots trodden at < field capacity. Simulated treading and urine application increased N₂O emission 2 to 6-fold from plots that had no treading but did receive urine. Urine-amended plots had much greater emissions than plots that had no urine. Overall, the greatest emission of 14.4 kg N ha^?1 over 90 days (1.8% of the total urine N applied) was measured from urine-amended IT plots that were trodden at > field capacity. The N₂O emission from urine-amended NT plots that were trodden at < field capacity was 2.0 kg ha^?1 over 90 days (0.25% of the total urine N applied). Decreasing the intensity of tillage used to establish crops and restricting grazing when soils are wet are two of the most effective ways to minimise the risk of high N₂O emissions from grazed winter forage crops.     

Global trends and uncertainties in terrestrial denitrification and N2O emissions

Soil nitrogen (N) budgets are used in a global, distributed flow-path model with 0.5° × 0.5° resolution, representing denitrification and N₂O emissions from soils, groundwater and riparian zones for the period 1900–2000 and scenarios for the period 2000–2050 based on the Millennium Ecosystem Assessment. Total agricultural and natural N inputs from N fertilizers, animal manure, biological N₂ fixation and atmospheric N deposition increased from 155 to 345 Tg N yr⁻¹ (Tg = teragram; 1 Tg = 10¹² g) between 1900 and 2000. Depending on the scenario, inputs are estimated to further increase to 408–510 Tg N yr⁻¹ by 2050. In the period 1900–2000, the soil N budget surplus (inputs minus withdrawal by plants) increased from 118 to 202 Tg yr⁻¹, and this may remain stable or further increase to 275 Tg yr⁻¹ by 2050, depending on the scenario. N₂ production from denitrification increased from 52 to 96 Tg yr⁻¹ between 1900 and 2000, and N₂O–N emissions from 10 to 12 Tg N yr⁻¹. The scenarios foresee a further increase to 142 Tg N₂–N and 16 Tg N₂O–N yr⁻¹ by 2050. Our results indicate that riparian buffer zones are an important source of N₂O contributing an estimated 0.9 Tg N₂O–N yr⁻¹ in 2000. Soils are key sites for denitrification and are much more important than groundwater and riparian zones in controlling the N flow to rivers and the oceans.     

灌水量对温室番茄土壤CO2、N2O和CH4排放的影响

为揭示不同灌水量对温室番茄土壤CO₂、N₂O和CH₄排放及作物产量的影响,提出有效的减排措施,试验设置充分灌溉(1.0W,W_1.0;W为充分供水的灌水量)、亏缺20%灌溉(0.8W,W_0.8)和亏缺40%灌溉(0.6W,W_0.6)3个灌水水平,采用静态暗箱/气相色谱法于2017年4—12月对两茬温室番茄土壤CO₂、N₂O和CH₄进行全生长季监测,分析土壤CO₂、N₂O和CH₄排放对不同灌水量的响应.结果表明: 番茄两个生长季中,土壤CO₂、N₂O和CH₄排放量均随着灌水量增加呈现逐渐增加的趋势(W_1.0＞W_0.8＞W_0.6),除W_0.6和W_1.0处理间土壤N₂O排放具有显著差异外,其他各处理间气体排放差异均不显著.与W_1.0处理相比,W_0.6和W_0.8处理土壤CO₂排放分别减小了12.2%和8.3%,N₂O分别减小了19.1%和8.0%,CH₄分别减小了11.0%和6.2%.番茄产量和由土壤N₂O和CH₄引起的全球增温潜势(GWP)均随灌水量增加而增加;与W_1.0处理相比,W_0.6处理产量和GWP显著减小,降幅分别为17.0%和22.9%,而W_0.8处理对两者未产生显著影响.单位产量GWP随灌水量增加表现为先增加后降低的趋势(W_0.8＞W_1.0＞W_0.6),处理间差异不显著.灌溉水利用效率(IWUE)随灌水量增加而降低,与W_1.0处理相比,W_0.6和W_0.8处理IWUE分别增加了38.3%和9.4%.回归分析表明,土壤CO₂排放通量与土壤水分呈指数负相关关系;土壤CH₄通量与土壤水分呈线性正相关关系;当土壤温度小于18 ℃和大于18 ℃时,土壤N₂O排放通量与土壤温度间均呈指数负相关关系.灌水增加了番茄产量和温室气体排放,但降低了IWUE.综合考虑番茄产量、IWUE和温室效应,推荐W_0.8处理为较佳的灌溉模式.     

N2O emissions from agricultural lands: a synthesis of simulation approaches

Nitrous oxide (N₂O) is primarily produced by the microbially-mediated nitrification and denitrification processes in soils. It is influenced by a suite of climate (i.e. temperature and rainfall) and soil (physical and chemical) variables, interacting soil and plant nitrogen (N) transformations (either competing or supplying substrates) as well as land management practices. It is not surprising that N₂O emissions are highly variable both spatially and temporally. Computer simulation models, which can integrate all of these variables, are required for the complex task of providing quantitative determinations of N₂O emissions. Numerous simulation models have been developed to predict N₂O production. Each model has its own philosophy in constructing simulation components as well as performance strengths. The models range from those that attempt to comprehensively simulate all soil processes to more empirical approaches requiring minimal input data. These N₂O simulation models can be classified into three categories: laboratory, field and regional/global levels. Process-based field-scale N₂O simulation models, which simulate whole agroecosystems and can be used to develop N₂O mitigation measures, are the most widely used. The current challenge is how to scale up the relatively more robust field-scale model to catchment, regional and national scales. This paper reviews the development history, main construction components, strengths, limitations and applications of N₂O emissions models, which have been published in the literature. The three scale levels are considered and the current knowledge gaps and challenges in modelling N₂O emissions from soils are discussed.     

缓/控释尿素对稻田周年CH4和N2O排放的影响

通过田间试验研究了不同缓/控释尿素对水稻产量和稻田周年温室气体排放的影响,评估生产单位质量水稻的温室气体排放量.结果表明: 优化施肥(OPT)处理在减氮(N)21.4%条件下产量与习惯施肥(FFP)处理持平,同时减少了稻田周年CH₄和N₂O的排放,其中水稻季CH₄和N₂O分别减排12.6%和12.5%,休闲季N₂O减排33.3%.与OPT处理相比,控释尿素(CRU)处理在水稻季CH₄减排28.9%,休闲季CH₄零排放;硝化抑制剂(DMPP)处理在水稻季CH₄和N₂O分别减排41.6%和85.7%,休闲季CH₄和N₂O分别减排76.9%和6.5%.休闲季节N₂O排放占周年N₂O排放的76.8%～94.9%,是评价整个稻田温室气体排放不容忽视的因素.OPT、CRU和DMPP处理生产1.0 kg稻谷的温室气体排放强度分别为0.50、0.41和0.33 kg·kg^-1,综合考虑周年的温室气体排放总量和产量,尿素和硝化抑制剂配合施用可以在保证水稻产量的情况下,减少温室气体的排放.     

Drainage increases CO2 and N2O emissions from tropical peat soils

Tropical peatlands are vital ecosystems that play an important role in global carbon storage and cycles. Current estimates of greenhouse gases from these peatlands are uncertain as emissions vary with environmental conditions. This study provides the first comprehensive analysis of managed and natural tropical peatland GHG fluxes: heterotrophic (i.e. soil respiration without roots), total CO₂ respiration rates, CH₄ and N₂O fluxes. The study documents studies that measure GHG fluxes from the soil (n = 372) from various land uses, groundwater levels and environmental conditions. We found that total soil respiration was larger in managed peat ecosystems (median = 52.3 Mg CO₂ ha^?1 year^?1) than in natural forest (median = 35.9 Mg CO₂ ha^?1 year^?1). Groundwater level had a stronger effect on soil CO₂ emission than land use. Every 100 mm drop of groundwater level caused an increase of 5.1 and 3.7 Mg CO₂ ha^?1 year^?1 for plantation and cropping land use, respectively. Where groundwater is deep (≥0.5 m), heterotrophic respiration constituted 84% of the total emissions. N₂O emissions were significantly larger at deeper groundwater levels, where every drop in 100 mm of groundwater level resulted in an exponential emission increase (exp(0.7) kg N ha^?1 year^?1). Deeper groundwater levels induced high N₂O emissions, which constitute about 15% of total GHG emissions. CH₄ emissions were large where groundwater is shallow; however, they were substantially smaller than other GHG emissions. When compared to temperate and boreal peatland soils, tropical peatlands had, on average, double the CO₂ emissions. Surprisingly, the CO₂ emission rates in tropical peatlands were in the same magnitude as tropical mineral soils. This comprehensive analysis provides a great understanding of the GHG dynamics within tropical peat soils that can be used as a guide for policymakers to create suitable programmes to manage the sustainability of peatlands effectively.