A novel approach to studying the effects of temperature on soil biogeochemistry using a thermal gradient bar

The temperature dependence of chemical reaction rates and microbial metabolism mean that temperature is a key factor regulating soil trace gas emissions and hydrochemistry. Here we evaluated a novel approach for studying the thermal response of soils, by examining the effects of temperature on gas emissions and hydrochemistry in (a) peat and (b) soil from a Sitka spruce plantation. A thermal gradient was applied along an aluminium bar, allowing soil to be incubated contemporaneously from 2 to 18 °C. The approach demonstrated clear differences in the biogeochemical responses of the two soil types to warming. The peat showed no significant emission of CH₄ at temperatures below 6 °C, while above 6 °C, a marked increase in the rate of release was apparent up to 15 °C (Q₁₀ = 2.5) with emissions being similar between 15 and 18 °C. Conversely, CH₄ emissions from the forest soil did not respond to warming. Nitrate availability in the peat decreased by 90% between 2 and 18 °C (P < 0.01), whereas concentrations in the forest soil did not respond. Sulphate availability in the peat decreased significantly with warming (60%, P < 0.01), while the forest soil showed the opposite response (a 30% increase, P < 0.01). Conventionally, thermal responses are studied by incubating individual soil samples at different temperatures, involving lengthy preparation and facilities to incubate samples at different temperatures simultaneously. Data collected on a given thermal response is usually limited and thus interpolated or extrapolated. The thermal gradient method overcomes these problems, is simple and flexible, and can be adapted for a wide range of sample types (not confined to soil). Such apparatus may prove useful in the optimization of management practices to mitigate the effects of climate change, as thermal responses will differ depending on land use and soil type.     

Carbon storage by urban tree cultivars, in roots and above-ground

Urban trees can favorably affect factors underlying global warming by storing carbon and by reducing energy needs for cooling and heating buildings. To estimate carbon stored in roots and above-ground portions of trees, data was collected consisting of whole tree sampling of Amelanchier, Malus, Pyrus, and Syringa cultivars. Roots were excavated using an Air-Spade^™. Regression analysis resulted in two equations for predicting total carbon storage based on height and diameter of trees up to 20 cm dbh: Y = 0.05836 (dbh²) for root carbon storage, and Y = 0.0305 (dbh² × h)^0.9499 for above-ground carbon storage, explaining 97% and 96% of the variation, respectively. Average carbon stored in roots of various cultivars ranged from 0.3 to 1.0 kg for smaller trees, those 3.8 to 6.4 cm dbh, to more than 10.4 kg for trees 14.0 cm to 19.7 cm dbh. Average total carbon stored by cultivars ranged from 1.7 to 3.6 kg for trees less than 6.4 cm dbh to 54.5 kg for trees larger than 14.0 cm. The data from these equations apply mainly to trees in nurseries and recently transplanted trees. Comparisons showed that above-ground estimates from previous studies using a sampling technique overestimated values obtained from actual above-ground weights.     

全球气候暖干化对秦岭南北河流径流泥沙的影响研究

以秦岭南侧汉江和北侧渭河多年的径流泥沙观测资料，分析了全球气候暖干化对秦岭南北径流泥沙的变化。分析指出在80年代后，由于全球气候变化的影响，秦岭南北河流年均径流量均减少，与1935－1980年相比，汉江河流年均径流量减少1.9%，渭河河流年均径流量减少27.4%；同时汉江河流泥沙含量明显减少，但渭河河流泥沙含量呈增加趋势，是汉江河流泥沙含量133倍，表明了秦岭南北两侧在全球气候暖干化表现出明显的区域响应性。     

网吧火灾自动报警系统的上位机软件设计

介绍了一个采用VisualBasic6．0编写的、在网吧中实现自动报警系统的上位机软件。系统经过了测试和实际运行，工作稳定可靠，可以实现自动报警功能，具有较高的应用和推广价值。     

不同工艺对牛粪堆沤肥过程气体排放的影响

堆沤肥是中国畜禽粪便处理利用的最主要方式。为探究不同堆沤肥方式对温室气体和氨气排放规律和温室效应,在北京市密云区开展了为期71d的堆沤肥试验,以牛粪和玉米秸秆为原料,分析了静态堆沤 (T1)、堆沤+翻抛 (T2)、堆沤+覆膜 (T3)、翻抛+覆膜 (T4)等4种方式对堆沤肥过程中腐熟度、温室气体和氨气等指标的影响。结果表明,4个处理的种子发芽指数分别达到131.33%、134.49%、108.76%和136.24%,均满足堆肥产品的腐熟度要求（≥70%）。翻抛有利于CO₂、N₂O和NH₃的排放,而覆膜抑制了N₂O的生成,T2处理的增温潜势最高,T3处理的增温潜势最低,较对照组T1处理减排20.14%。因此,T3处理在能够保证堆肥产品的腐熟度要求的前提下,还可有效减少增温潜势。该研究可为中小养殖场户堆沤肥的工艺优化实践提供技术指导。     

生物基包膜抑制型尿素对土壤温室气体排放及小青菜产量的影响

为研究生物基包膜氮肥对土壤温室气体排放及小青菜(Brassica chinensis)产量的影响,采用密闭式静态箱-气相色谱法测定盆栽试验条件下施用不同类型包膜尿素对土壤温室气体的排放特征,探究不同类型包膜尿素对土壤温室气体排放综合增温潜势(GWP)、排放强度(GHGI)及小青菜产量的影响。结果表明:抑制型尿素(I)、生物基包膜尿素(CRU)、生物基包膜抑制型尿素(CIRU)能够显著降低N_2O、CO_2、CH_4 3种温室气体的累积排放量。与普通尿素(U)相比,处理I、CRU和CIRU的N2O累积排放量显著降低了20.79%～79.52%,CO_2的累积排放量显著降低了46.53%～62.24%,CH4的累积排放量显著降低了25.38%～30.11%。与处理U相比,处理I、CRU和CIRU的GWP分别显著降低了40.44%、60.66%和65.02%;温室气体GHGI与GWP呈现出同样的趋势,处理I、CRU和CIRU分别显著降低了26.32%、70.53%和78.95%。与其他处理相比,处理CIRU具有最优的温室气体减排效果。处理CIRU的小青菜产量最高,为1 960.00 kg·hm~(-2),较处理U显著增产68.00%。研究表明,生物基包膜抑制型尿素在提高小青菜产量的同时还可以减少菜地温室气体排放及氮素气态损失。     

长期不同施肥下太湖地区稻田净温室效应和温室气体排放强度的变化

利用田间观测和模型预测方法对太湖地区一个长期不同施肥处理的稻田生态系统进行了稻季温室气体排放观测和净温室气体排放强度分析。结果表明,不同施肥管理下,稻田土壤有机碳含量不同程度提高,有机无机肥料配施较单施化肥处理显著提高有机碳库储量,并且秸秆处理略高于猪粪处理。与不施肥处理相比,长期施用肥料显著提高了稻田生态系统CH4和CO2的排放量,有机肥料与化肥配施较单纯施用化学肥料下土壤碳（CO2和CH4）排放增加,但化肥配施秸秆与化肥配施猪粪下稻田生态系统CH4和CO2的排放没有显著差异。不同施肥处理下,稻田生态系统净温室效应表现为CFM≈CFS〉CF〉NF,但水稻生产的净温室气体排放强度并没有显著性差异。因此,在提高水稻产量的同时,有机无机配合施肥并没有提高净温室气体的排放强度。     

太湖地区不同水旱轮作方式下稻季甲烷和氧化亚氮排放研究

为准确编制我国稻田温室气体排放清单及制定合理减排措施提供基础数据,选择太湖地区典型水稻种植区江苏省苏州市,研究设计了休闲水稻(对照,CK)、紫云英水稻(T1)、黑麦草水稻(T2)、小麦水稻(T3)和油菜水稻(T4)5种水旱轮作方式,采用静态箱气相色谱法,开展了不同水旱轮作方式下水稻生长季田间甲烷(CH4)和氧化亚氮(N2O)排放监测试验。试验结果表明:不同水旱轮作方式下水稻生长季CH4排放通量呈先升高后降低的变化趋势,CH4排放峰值出现在水稻生育前期,移栽至有效分蘖临界叶龄期CH4累积排放量占全生育期排放总量的比例为65%~81%,而N2O仅在水稻烤田期间有明显排放。水旱轮作方式对稻季CH4和N2O排放有极显著(P 0.01)影响,CH4季节总排放量表现为T1(283.2 kg.hm 2)CK(139.5 kg.hm 2)T3(123.4kg.hm 2)T4(114.7 kg.hm 2)T2(100.8 kg.hm 2),N2O季节总排放量顺序为T1 T4 T3 T2 CK,依次为1.06kg.hm 2、0.87 kg.hm 2、0.81 kg.hm 2、0.72 kg.hm 2和0.53 kg.hm 2。T1处理稻季排放CH4和N2O产生的增温潜势最高[7 396 kg(CO2).hm 2],显著(P 0.05)高于其他处理,比CK[3 646 kg(CO2).hm 2]增加103%,T2[2 735kg(CO2).hm 2]较CK减少25%(P 0.05)。紫云英水稻轮作方式增加了太湖地区水稻生长季的温室效应。     

Validation of the DNDC-Rice model by using CH4 and N2O flux data from rice cultivated in pots under alternate wetting and drying irrigation management

The DNDC (DeNitrification-DeComposition)-Rice model, one of the most advanced process-based models for the estimation of greenhouse gas emissions from paddy fields, has been discussed mostly in terms of the reproducibility of observed methane (CH₄) emissions from Japanese rice paddies, but the model has not yet been validated for tropical rice paddies under alternate wetting and drying (AWD) irrigation management, a water-saving technique. We validated the model by using CH₄ and nitrous oxide (N₂O) flux data from rice in pots cultivated under AWD irrigation management in a screen-house at the International Rice Research Institute (Los Baños, the Philippines). After minor modification and adjustment of the model to the experimental irrigation conditions, we calculated grain yield and straw production. The observed mean daily CH₄ fluxes from the continuous flooding (CF) and AWD pots were 4.49 and 1.22?kg?C?ha^?1?day^?1, respectively, and the observed mean daily N₂O fluxes from the pots were 0.105 and 34.1?g?N?ha^?1?day^?1, respectively. The root-mean-square errors, indicators of simulation error, of daily CH₄ fluxes from CF and AWD pots were calculated as 1.76 and 1.86?kg?C?ha^?1?day^?1, respectively, and those of daily N₂O fluxes were 2.23 and 124?g?N?ha^?1?day^?1, respectively. The simulated gross CH₄ emissions for CF and AWD from the puddling stage (2 days before transplanting) to harvest (97 days after transplanting) were 417 and 126?kg?C?ha^?1, respectively; these values were 9.8% lower and 0.76% higher, respectively, than the observed values. The simulated gross N₂O emissions during the same period were 0.0279 and 1.45?kg?N?ha^?1 for CF and AWD, respectively; these values were respectively 87% and 29% lower than the observed values. The observed total global warming potential (GWP) of AWD resulting from the CH₄ and N₂O emissions was approximately one-third of that in the CF treatment. The simulated GWPs of both CF and AWD were close to the observed values despite the discrepancy in N₂O emissions, because N₂O emissions contributed much less than CH₄ emissions to the total GWP. These results suggest that the DNDC-Rice model can be used to estimate CH₄ emission and total GWP from tropical paddy fields under both CF and AWD conditions.