杨树人工林生态系统通量贡献区分析

采取通量源区模型FSAM(Flux Source Area Model)利用2009年北京大兴区杨树人工林生态系统碳水通量涡度相关观测资料,分析了不同大气条件下生态系统的通量贡献区分布特征。研究结果表明:(1)该站通量贡献区随大气稳定条件增强而增大。除326.25°—3.75°方向生长季不稳定条件下外,生长季的通量贡献区范围普遍大于非生长季的贡献区范围;(2)通量贡献区与观测高度、冠层高度、地表粗糙度、风向以及大气稳定度有关,当风速风频较大,大气不稳定时,湍流扩散作用强烈,贡献区范围较小;(3)该观测场在2009年以不稳定大气条件为主,通量信息主要来源于距离观测塔50—400 m范围,且69.3%的信息来源于通量塔偏北风与偏南风方向,其中42.56%的信息来自于偏南风方向;(4)随着大气稳定程度加强,通量来源最少区从塔偏西方转为偏东方,在大气稳定度条件和风向的共同作用下,生长季时主要通量贡献区在塔偏南方向,而非生长季时主要通量贡献区在塔偏北方向。     

一次性可调压限压式灌肠器的实验研究

目的:研究一次性可调压限压式灌肠器的性能。方法:建立模型,测定模拟体内环境下灌肠治疗时肠管各点的压力和灌肠器可调压限压阀开启时的压力是否一致。结果:测定模拟肠管各点压力与灌肠器的可调压限压阀开启时压力一致。结论:一次性可调压限压式灌肠器的性能达到设计要求,操作简便,具有科学性、稳定性、安全性,值得推广。     

林冠截持降雨模型的初步研究

通过对林冠截持过程的研究,将单场降雨划分成很多个小的时段,顺序计算各小时段内降雨在林冠内的分配,建立了一个林冠降雨截持模型.模型考虑了冠层和树干干燥度对冠层雨期蒸发的影响,并在计算雨期蒸发时引入冠层叶面积指数、单位林地面积上树干表面积.运用模型对华北落叶松林的降雨截持进行模拟,结果表明,模拟穿透雨与实测穿透雨基本吻合,误差在±1 mm范围内,但在小降雨(＜6 mm)时模拟值偏低;树干茎流量模拟值偏低,茎流模拟相对误差随着降雨量增大而减小.同时模拟了穿透降雨的过程,结果与林内自动气象站实测穿透降雨的过程基本吻合,模拟效果较好.     

Aedes aegypti: model for blood finding strategy and prediction of parasite manipulation

Aedes aegypti mosquitoes salivate during intradermal probing of vertebrate prey before ingesting blood (Griffiths and Gordon 1952). Nonsalivating mosquitoes locate blood more slowly; this difference was ascribed to an anti-platelet activity found in the mosquito's saliva (Ribeiro et al. 1984). Mosquitoes infected with Plasmodium gallinaceum suffer pathology that specifically impairs saliva anti-hemostatic activity but without reducing volume of output (Rossignol et al. 1984). The complexity of the feeding apparatus of mosquitoes provides opportunity for a variety of strategies in which pathogens may produce specific lesions that enhance their transmission, but the variables that affect the duration of probing by mosquitoes have not been defined. We sought to resolve this complexity by identifying and quantifying relevant parameters of probing behavior. Mosquitoes thrust their mouthparts repeatedly through their host's skin while searching for blood. Female A. aegypti thrust at 7-sec intervals. If this search results in success, feeding ensues. Alternatively, the mosquito "desists," the mouthparts stylets are withdrawn, and the mosquito attempts to feed at another site. Even after previous desistance, the probability of finding blood remains undiminished. Functions for the probability of feeding success and desistance over time were derived using data from observations on 300 mosquitoes. The probability of feeding success was interpreted as being a function of the density of vessels in the skin, their geometric distribution, and the conditions locally affecting hemostasis. During each probe, the probability of desisting increased linearly with time, and after desisting once, mosquitoes tended to desist more rapidly. A model was developed incorporating Monte Carlo simulation which closely fit observed data. By changing values for the several parameters of the probability functions, we predicted modes in which parasites may manipulate their hosts to enhance transmission, both to and from the vector. In particular, parasite strategies in the vector would include induced salivary pathology; increased duration of probing thrusts; decreased desistance time; and inhibited phagoreception. Predicted parasite strategies in the reservoir host would include increased skin vascular volume and impaired host hemostasis. Our model supports the hypothesis of a mutualistic interaction of malaria and mosquitoes.     

不同含水量下尖叶拟船叶藓光合速率对光温的响应及其模型

对不同大气温度、藓体含水量及光照条件下尖叶拟船叶藓光合速率测定研究结果表明,光合速率(Pn)与光照强度(PAR)、大气温度(Ta)及藓体含水量(PWC)之间密切相关,光合速率的光响应曲线为直角双曲线,温度、藓体含水量影响图形的曲度参数,在低含水量、高气温组合和高含水量、低气温组合的藓体高光强下都使光合速率降低．弱光下(PAR<200μmol·s^-1·m^-2),光合速率最大值Pmax出现在PWC：为50％～80％,但随着Ta的升高而增大,当Ta>25℃,Pmax随Ta升高而降低;随着光照强度的增大,Pmax出现的PWC水平随之提高,当PAR<200μmol·s^-1·m^-2时,光合速率最大值Pmax出现在Ta比较高的范围(20～25℃),并随PWC的升高而增大,当PWC>80％时,Pmax随PWC升高而降低;随着光照强度的增大,Pmax出现的Ta水平降低、在230     

The model plant Medicago truncatula exhibits biparental plastid inheritance

The plastid, which originated from the endosymbiosis of a cyanobacterium, contains its own plastid DNA (ptDNA) that exhibits a unique mode of inheritance. Approximately 80% of angiosperms show maternal inheritance, whereas the remainder exhibit biparental inheritance of ptDNA. Here we studied ptDNA inheritance in the model legume, Medicago truncatula. Cytological analysis of mature pollen with DNA-specific fluorescent dyes suggested that M. truncatula is one of the few model plants potentially showing biparental inheritance of ptDNA. We further examined pollen by electron microscopy and revealed that the generative cell (a mother of sperm cells) indeed has many DNA-containing plastids. To confirm biparental inheritance genetically, we crossed two ecotypes (Jemalong A17 and A20), and the transmission mode of ptDNA was investigated by a PCR-assisted polymorphism. Consistent with the cytological observations, the majority of F(1) plants possessed ptDNAs from both parents. Interestingly, cotyledons of F(1) plants tended to retain a biparental ptDNA population, while later emergent leaves tended to be uniparental with either one of the parental plastid genotypes. Biparental transmission was obvious in the F(2) population, in which all plants showed homoplasmy with either a paternal or a maternal plastid genotype. Collectively, these data demonstrated that M. truncatula is biparental for ptDNA transmission and thus can be an excellent model to study plastid genetics in angiosperms.     

Reinforcement and learning

Evidence has been accumulating to support the process of reinforcement as a potential mechanism in speciation. In many species, mate choice decisions are influenced by cultural factors, including learned mating preferences (sexual imprinting) or learned mate attraction signals (e.g., bird song). It has been postulated that learning can have a strong impact on the likelihood of speciation and perhaps on the process of reinforcement, but no models have explicitly considered learning in a reinforcement context. We review the evidence that suggests that learning may be involved in speciation and reinforcement, and present a model of reinforcement via learned preferences. We show that not only can reinforcement occur when preferences are learned by imprinting, but that such preferences can maintain species differences easily in comparison with both autosomal and sex-linked genetically inherited preferences. We highlight the need for more explicit study of the connection between the behavioral process of learning and the evolutionary process of reinforcement in natural systems.     

通往风景园林行业的BIM之路——数字化竖向设计教育

随着全球建造业向数字化全面转型,建筑信息模型（BIM)的教学将是未来几年风景园林设计与实施的重要主题。介绍了风景园林专业BIM的教学方法和数字化竖向设计及其应用在BIM场地设计项目中的重要性。数字化竖向设计是实现BIM的途径。风景园林教育必须在其教学中讲解BIM建模方法和过程。     

跳动心脏的心电仿真模型建构

以往的心电仿真研究都没有考虑在一个心动周期内,因为心脏跳动而引起的偶极子位置变化的实际情况,从而造成其结果输出的不可避免的误差,在心脏电生理和心脏动力学分析的基础上,对原有的心脏电仿真模型施加动力学影响,从而构建了新的跳动心脏模型。在这两个模型上进行了正常心脏和心肌缺血心脏的仿真试验后,对比两个心电模型的仿真输出,发现新的心脏模型有效提高了仿真精度,对于严重心肌缺血和轻微心肌缺血的识别分别有不同程度的改善。这项研究证实了动力学因素 在心电模型建构中的重要性,为心电正问题和逆问题研究的进一步开展 提供了新的思路和方向。     

A Network-based Analysis of the 1861 Hagelloch Measles Data

Summary In this article, we demonstrate a statistical method for fitting the parameters of a sophisticated network and epidemic model to disease data. The pattern of contacts between hosts is described by a class of dyadic independence exponential-family random graph models (ERGMs), whereas the transmission process that runs over the network is modeled as a stochastic susceptible-exposed-infectious-removed (SEIR) epidemic. We fit these models to very detailed data from the 1861 measles outbreak in Hagelloch, Germany. The network models include parameters for all recorded host covariates including age, sex, household, and classroom membership and household location whereas the SEIR epidemic model has exponentially distributed transmission times with gamma-distributed latent and infective periods. This approach allows us to make meaningful statements about the structure of the population-separate from the transmission process-as well as to provide estimates of various biological quantities of interest, such as the effective reproductive number, R. Using reversible jump Markov chain Monte Carlo, we produce samples from the joint posterior distribution of all the parameters of this model-the network, transmission tree, network parameters, and SEIR parameters-and perform Bayesian model selection to find the best-fitting network model. We compare our results with those of previous analyses and show that the ERGM network model better fits the data than a Bernoulli network model previously used. We also provide a software package, written in R, that performs this type of analysis.