Characterization of microbial communities associated with African desert dust and their implications for human and ecosystem health

Desert winds aerosolize several billion tons of soil-derived dust each year, including concentrated seasonal pulses from Africa and Asia. Huge dust events create an atmospheric bridge over continents and oceans, and eject a large pulse of soil-associated microorganisms into the atmosphere. These dust events might therefore have a role in expanding the biogeographical range of some microorganisms by facilitating rare long-distance dispersal events. The goal of this study is to characterize the microbes associated with African dust events and determine if they pose a risk to humans or downwind ecosystems. Air samples were collected by vacuum filtration in a source region （Mali, West Africa） during dust events and plated on R2A media to culture microorganisms. These organisms were compared to those in similar samples collected in the Caribbean during Saharan/Sahelian dust events. A high-volume liquid impinger is currently being tested in Barbados, collecting aerosol samples during African dust events. Over 100 bacteria and fungi （19 genera of bacteria and three genera of fungi） have been characterized from source region dust events.     

Study on Kailyard soil amendment by adding compost of sludge

Mixture of municipal sewage sludge and organic garbage, which was alternatively treated by aerobic and anaerobic composting technologies for 60 days. The characteristics of the compost are as follows： the total nitrogen （TN）, total phosphors （TP） and total potassium （TK） are 1.40%, 0.101% and 1908.32 mg/kg on dry weight basis, the contents of Cu, Ni, Cd, Cr, Pb and Zn are 131.23, 21.49, 1.31, 35.49, 72.50 and 616.76 mg/kg on dry weight basis. A basin-scale experiment was carded out by planting watercress with kailyard soil fertilizing with the compost, the results showed that the municipal sewage sludge and organic garbage compost could promote the production of watercress to different degrees, the crop biomass increased from 74.46% to 312.00% with the amount of compost fertilizing on the kaliyard soil while the amount of compost fertilizing on the kaliyard soil below 150 g per 3.75 kg kaliyard soil and decreased from 312.00% to 102.29% while the amount of compost fertilizing on it over 150 g per 3.75 kg kaliyard soil, so the optimal addition of compost in the watercress and soil was 150 g compost per 3.75 kg kailyard soil. Furthermore,     

侵蚀红壤植被恢复后土壤呼吸日动态及日呼吸速率测定方法比较

采用密闭室红外气体分析仪法(IRGA法)观测了中亚热带红壤侵蚀裸地植被恢复后不同季节土壤呼吸速率的日动态变化,并比较了IRGA法与碱吸收法(AA法)测定的土壤呼吸速率.结果表明:侵蚀裸地植被恢复后土壤呼吸速率日动态呈单峰曲线,与土壤温度的昼夜变化基本一致,最高值一般出现在午后13∶00~17∶00,最低值出现在凌晨3∶00~7∶00;植被恢复显著提高了土壤日呼吸速率,但明显降低了土壤呼吸速率日变化幅度;马尾松林对土壤呼吸速率日变化幅度降低程度高于板栗园和百喜草地,且对夏季的降低程度影响最大.而IRGA法和AA法测定的土壤呼吸速率具有显著的幂函数关系,AA法测定的土壤呼吸速率为IRGA法的27.5%~218%,平均为76.2%.当土壤呼吸速率较低时,AA法比IRGA法高估了土壤呼吸速率;反之,AA法则低估了土壤呼吸速率.     

大气CO2浓度升高对土壤中不同粒级碳的影响

不同粒级土壤中的碳有着不同的周转规律，在高CO2浓度条件下，它们含量的变化将在一定程度上反映土壤碳是累积还是减少，对明确土壤碳的变化趋势有重要意义．采用田间培养试验初步模拟研究在高CO2浓度条件下土壤不同粒级碳的分布．结果表明，加入秸秆培养1年，由于CO2浓度升高的原因导致在低氮（LN）、常规氮（NN）和高氮（HN）水平下土壤中碳分别增加0．01、1．10、1．22g／kg，表现为粒级〈53μm土壤颗粒中碳分别增加1．53、2．19、2．70g／kg．粒级〈53μmm土壤颗粒碳量的增加，主要是由于其重量分配百分数显著增加36．2％，碳浓度增加5．4％；粒级〉250μm和250～53μm土壤颗粒部分虽然其碳浓度分别增加20．8％和17．3％（P〈0．05），怛由于重量分配百分数分别显著降低22．8％和36．1％，结果碳量降低．试验表明高CO2浓度导致不同粒级土壤的分配及碳浓度的变化；高氮施肥水平下有增加土壤碳量特别是小粒级土壤碳量的趋势．     

内蒙古西辽河流域特种玉米品种特性及气候区划

基于玉米本身的特性和用途的不同,将玉米分为高油型玉米、高淀粉型玉米、高赖氨酸型玉米和甜玉米四大类型.根据每种玉米品种对气候条件、土壤类型、地形特征等的不同需求,以通辽地区作为内蒙古东部西辽河流域玉米主产区的示范区,提出了特种玉米的区划指标,并利用GIS技术进行适宜种植区域划分.内蒙古通辽地区大部分农区适宜种植特种玉米,最适宜区、适宜区基本上均位于通辽南部和中部农业区.     

黑龙江省农田土壤养分监测及变化评价

2004年在黑龙江省粮食产区中的34个县市的102个地块进行农田土壤肥力监测，测定全氮、有机质、速效磷、速效钾。统计分析表明：全省农田土壤肥力平均状况属中等水平；全氮平均含量属中等水平，速效钾、有机质、速效磷平均含量属中上水平；黑龙江省南部及松嫩平原西部土壤肥力偏低，需引起重视。     

土壤热异常对地表能量平衡影响初探

将来自土壤深部的热通量引入off line的陆面过程模式 (NCAR—LSM ) ,通过长达 2a的数值试验对比分析了它对各层次土壤温度和地表能量平衡的影响。　　在土壤底部引入 5W /m2 的热通量使底层土壤显著升温 ,但升温随着接近表层而迅速衰减。积分 3个月后 ,由地下进入地表的热流量增幅可达 1W/m2 以上 ,并持续增大到 5W /m2 ,地表最大升温约 0 .5K ,同时地表感热、蒸发潜热及长波辐射通量均有 1W /m2 左右的正异常 ;若将土壤热传导系数放大一个量级以加速热量交换 ,则地表升温提高到 1K以上 ,长波辐射增加 3W /m2 以上 ,超过了气溶胶全球平均的辐射效应。结果表明 :一定量值的土壤热异常对地表能量平衡和短期气候变化 (10 -1～ 10 1a)有着不可忽略的影响。同时 ,深入的资料分析、完善的陆面过程模式以及它与大气模式的耦合试验也是亟待进行的相关工作。     

影响地温日极值的要素分析

本文对影响地温日极值的要素进行了较系统的分析，对获取正确的地温日极值提出了自己的看法。     

土壤热异常影响地表能量平衡的个例分析和数值模拟

The statistical relationship between soil thermal anomaly and short-term climate change is presented based on a typical case study. Furthermore, possible physical mechanisms behind the relationship are revealed through using an off-line land surface model with a reasonable soil thermal forcing at the bottom of the soil layer.In the first experiment, the given heat flux is 5 W m-2 at the bottom of the soil layer (in depth of 6.3 m)for 3 months, while only a positive ground temperature anomaly of 0.06℃ can be found compared to the control run. The anomaly, however, could reach 0.65℃ if the soil thermal conductivity was one order of magnitude larger. It could be even as large as 0.81℃ assuming the heat flux at bottom is 10 W m-2. Meanwhile, an increase of about 10 W m-2 was detected both for heat flux in soil and sensible heat on land surface, which is not neglectable to the short-term climate change. The results show that considerable response in land surface energy budget could be expected when the soil thermal forcing reaches a certain spatial-tem poral scale. Therefore, land surface models should not ignore the upward heat flux from the bottom of the soil layer. Moreover, integration for a longer period of time and coupled land-atmosphere model are also necessary for the better understanding of this issue.