稻虱缨小蜂耐热品系的生物和生态学特征

稻虱缨小蜂Anagrus nilaparvatae Pang et Wang是控制稻飞虱种群暴发的主要寄生性天敌之一，高温是制约其种群动态的重要因子。为了解35℃高温驯化获得的稻虱缨小蜂耐热品系（NR品系）的生防潜力，对不同温度下该品系的发育历期、有效积温、寄主卵选择、产卵量以及极端高温胁迫参数进行了测定。结果发现，与未经高温驯化的稻虱缨小蜂品系（HZ品系）相比，20℃时，NR品系雄蜂的发育速率显著高于HZ品系，这一差异主要表现在卵-幼虫中期和蛹期的发育时间明显缩短。NR品系在高温下能维持正常的产卵能力，35℃下NR品系产卵量仍能达到18.80粒/雌。NR品系有更强的耐极端温度的能力，50℃下NR品系雄蜂的热击倒时间为15.19 min，比HZ品系雄蜂长3.03 min。补充不同营养对NR品系的产卵量存在影响，35℃条件下补充10%蔗糖既能延长其寿命，也能提高产卵量。以上研究结果表明高温驯化得到的稻虱缨小蜂品系在35℃高温环境中能维持正常的生长发育和寄生能力，具备适应稻田夏季高温环境的潜力。     

A context for recruitment correlations: why marine fisheries biologists should still look for them

In many cases when ecologists want to investigate a process, they often look for the best system on which to conduct the research, "best" meaning that the possibility of discovering mechanisms is optimized or made easier in some way. In fisheries we do it backwards. The species and system are given to us by economics, and we then fly in the face of the difficult circumstances to find mechanisms that are elusive anyway. These difficult circumstances constitute in some sense the first set of statistical problems. Using examples from the Northeast Pacific, I review the characteristics of cohort time series that make some species more tractable; propose a conscious process of conceptualization to assist in the formulation of clear, germane hypotheses; highlight the contrast between modeling in the sense of statistical fitting versus simulation models of processes; explore how the first round of models integrates with the second round of planning for new data collection at sea and in the lab; and, finally, propose how to judge success in terms of an operational approach.     

小麦品种鄂恩一号和7023生期规律的对比观察与分析

通过对豫南小麦当家品种鄂恩一号和种植多年的7023的对比观察,找出二者在生育规律上的差异,进而分析在栽培措施上的异同。与7023相比,鄂恩一号出叶速度快,容易形成壮苗;抽穗后绿叶保持时间较长,有利后期光合作用;年前分蘖数比例大,总分蘖及成穗数没有7023多;幼穗分化开始早,进程快,小穗数及穗粒数比较少;开花早,灌浆时间长,灌浆强度大,子粒大,千粒重高。基于这些特点,提出了十月下旬播种,三叶期、药隔形成期追肥,四分子期根外喷肥,加强后期管理等针对该品种特性的栽培措施。     

Evaluation of two N cycle models for the prediction of N mineralization from grassland soils in the UK

Abstract. The ability of two nitrogen cycle models, of contrasting complexity, to predict N mineralization from a range of grassland soils in the UK, was evaluated. These were NCYCLE, a simple mass balance model of the N cycle in UK grasslands, and CENTURY, a more complex model simulating long-term C, N, P & S dynamics in grassland ecosystems. The models were tested using field measurements of net N mineralization from a range of grassland soils (differing in soil type, history & management practice), obtained over a 2 year period using a soil core incubation technique. This method was considered to measure the total net release of mineral N from the soil organic matter over a specified time, including N which may have been recycled several times. NCYCLE consistently under-estimated mineralization rates at all sites. By contrast, there was some correlation between CENTURY predictions of net N mineralization and field measurements. This may have reflected the different abilities of the two models to simulate N recycling. Neither model, however, was able to predict adequately the effect of cultivation and reseeding on net N mineralization.     

DYNAMIC MODELS OF AQUIFEROUS CONTENT OF LIVING FUELS

RESEARCHSITELivingfue1splayedanimportantroleinheatconcentrationactionorinheatsourceofforestfire.Whenitshumiditydecreasestoacertainlevel,theybecameaheatsourcewhenthelivingcombustibl-eswerecombinedwithfire.Thus,itwasessentialhowtodeterminethemoisturesituationandthefOrestfiredangerdegreetobeforecastedaccurately.Thedynamicmodelspresentedinthispaperwereusefultosolvethisproblem.Everyyear,-therewerealotofforestfires,especiallythefireoccurrenceinDaxinganMountains,inthespringofl987.Itwasveryimpo…     

区域证券市场发展潜力评价模型的建立及实证分析

建立了评价区域证券市场发展潜力的数学模型－定权聚类评估模型，并对河南各地区证券发展潜力进行了实证研究。     

新疆地区棉花秸秆机械的现状及发展

针对新疆地区棉花秸秆利用现状及发展前景，分析了棉花秸秆机械技术研究及棉花秸秆机械发展过程中存在的优势和不足，指出了棉花秸秆机械的发展方向。     

福建省林业国有苗圃花卉产业发展的思考

从福建省国有苗圃花卉产业发展的优势入手,针对当前的生产现状及存在问题,提出了加强领导、合理布局、调整所有制结构、加大投入等5项措施。     

刺槐单株生物量动态研究

本文依据420株刺槐生物量及23株树干解析资料,应用灰色Verhulst模型,对太行山坡地刺槐林单株干、枝、叶、根生物量动态进行了研究,分别建立了预测模型,预测了各器官生长的速生期和停止生长林龄,为实现刺槐林的多目标经营提供决策依据。     

Predicting the spatial distribution of ground flora on large domains using a hierarchical Bayesian model

Accomodation of important sources of uncertainty in ecological models is essential to realistically predicting ecological processes. The purpose of this project is to develop a robust methodology for modeling natural processes on a landscape while accounting for the variability in a process by utilizing environmental and spatial random effects. A hierarchical Bayesian framework has allowed the simultaneous integration of these effects. This framework naturally assumes variables to be random and the posterior distribution of the model provides probabilistic information about the process. Two species in the genus Desmodium were used as examples to illustrate the utility of the model in Southeast Missouri, USA. In addition, two validation techniques were applied to evaluate the qualitative and quantitative characteristics of the predictions.This revised version was published online in May 2005 with corrections to the Cover Date.