大安牛心套堡湿地芦苇（Phragmites communis）生物量的动态研究

于2006年6～10月在大安牛心套堡湿地芦苇气候环境的调查基础上,分析了大安牛心套堡湿地芦苇的生长季节动态和地上生物量的变化规律.结果表明:芦苇群落的平均株高呈单峰曲线,9月株高最高为200.4cm,6月株高最低为110.3cm;芦苇群落的平均叶片数和茎节数呈一定的规律;芦苇地上生物量整体上出现上涨趋势(干重),鲜重的生物量峰值出现在7月,达2 636g/m2;茎生物量在生长季中不断增加,鲜重在7月最高,达1 780g/m2;叶片生物量在8月出现最大值,为309g/m2,然后下降,鲜重和干重出现同样的波动;叶鞘生物量随季节推移,不断增加,鲜重在6月时最大,达308g/m2,然后逐渐减小,8月后又增加,到9月出现次高,然后下降.图6,参15.     

不同施肥措施大豆田土壤镰孢菌种群动态定量研究初报

应用平板计数法和实时荧光定量(Real-time QPCR)方法,对黑土长期定位试验大豆田3种施肥措施下土壤镰孢菌种群密度进行了5个生育时期的定量研究。3种施肥措施包括无肥处理(NF)、化肥处理(NP)和化肥配施有机肥处理(NPM)。平板计数定量研究结果表明,NF和NP处理土壤镰孢菌菌落形成单位(CFU)数量在花期达到最大,分别为1 500个.(g干土)-1～3 100个.(g干土)-1;而NPM处理则在苗期达到了峰值1 900个.(g干土)-1。然而3种施肥措施各自的不同时期土壤镰孢菌CFU变化趋势,以及同一时期不同施肥措施下土壤镰孢菌CFU数量差异均不显著(p>0.05),说明传统定量研究方法不能有效地进行土壤镰孢菌种群动态的定量检测。Real-time QPCR定量研究结果表明,3种施肥措施下土壤镰孢菌属DNA含量的峰值出现时期与传统定量方法结果相同,NF、NP和NPM措施分别为99.6 pg.(g干土)-1、77.1 pg.(g干土)-1和140.8 pg.(g干土)-1。同时3种措施镰孢菌种群动态变化明显(p<0.05),均为由苗期开始随着大豆生育期逐渐上升,达到各自的峰值后再分别下降。该结果说明Real-time QPCR方法是灵敏的土壤镰孢菌种群密度的研究方法,同时表明施肥措施不仅可以影响土壤镰孢菌DNA的含量,甚至可以改变其种群随时间的分布规律。图4,表1,参25。     

The 12th International Conference on Service Systems and Service Management ICSSSM'15

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THE 8~(th) INTERNATIONAL CONGRESS ON INDUSTRIAL AND APPLIED MATHEMATICS

正August 10-14,2015Beijing,ChinaThe International Congress on Industrial and Applied Mathematics(ICIAM)is the premier international congress in the field of applied mathematics held every four years under the auspices of the International Council for Industrial and Applied Mathematics.From August 10 to 14,2015,mathematicians,scientists     

2014 List of Referees

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《Journal of Systems Science and Systems Engineering》Contents of Volume 23,2014

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TSINGHUA UNIVERSITY,Beijing, China

正AF:Any Field The School of Economics and Management at Tsinghua University(Tsinghua SEM)invites applications for faculty positions at all levels(Assistant Professor,Associate Professor and Full Professor)in any fields of business administration and management.Tsinghua SEM is the only school     

Enterprise resource planning implementation decision & optimization models

To study the uncertain optimization problems on implementation schedule, time-cost trade-off and quality in enterprise resource planning (ERP) implementation, combined with program evaluation and review technique (PERT), some optimization models are proposed, which include the implementation schedule model, the timecost trade-off model, the quality model, and the implementation time-cost-quality synthetic optimization model. A PERT-embedded genetic algorithm (GA) based on stochastic simulation technique is introduced to the optimization models solution. Finally, an example is presented to show that the models and algorithm are reasonable and effective, which can offer a reliable quantitative decision method for ERP implementation.     

Call for Papers The 12th International Conference on Service Systems and Service Management ICSSSM'15

正June 22-24,2015Guangzhou,China http://iec.cnsba.com/index.htmlCo-Sponsored by:ffiEE SMC(pending)South China University of Technology The Chinese University of Hong Kong Tsinghua UniversityHosted bv:School of Business Administration,South China University of Technology,China Conference Co-Chairs: