大兴安岭不同生态区域兴安落叶松树高曲线的研究

以大兴安岭3个不同生态区域的兴安落叶松伐倒木为对象,基于2 272株实测树高—胸径数据,分别选用12种树高曲线模型,对模型参数进行求解,并采用确定系数（R²）、误差(Bias)、均方根误差（RMSE）对模型精度进行检验。结果表明,Korf方程,唐守正方程和Hossfeld方程能较好地描述区域1和区域3的落叶松树高曲线;Richard方程,Weibull方程和Mitscherlich方程能较好地描述区域2的落叶松树高曲线。采用限制模型和无限制模型的假设检验方法对所选模型进行区域性检验。结果表明,任何2个区域的树高曲线都有显著不同,且区域2与区域1和区域3的树高曲线相差较大,区域1和区域3的树高曲线相差较小。不同生态区域树高曲线的错误应用会导致较大的预测误差。     

三角鲤的繁殖与生长特性

对三角鲤的年龄与生长、食性和繁殖进行了研究。三角鲤体长和体重相关 ,关系方程式为W =0 0 1 1 3 71L3 3 2 44。 3 龄以前生长较快 ,生长指标高 ,体长和体重的瞬时生长率大。其生长规律符合VonBertalanffy方程 :Lt=5 7 2 5 [1 -e-0 11717(t 2 9614 7) ];Wt=6762 0 4[1 -e-0 11717(t 2 9614 7) ]3 。生长拐点tr=6 41龄。其食性是以底栖动物为主的杂食性鱼类。性成熟年龄雌鱼为 3 龄 ,雄鱼为 2 龄 ,相对繁殖力为 5 5～ 88粒 g体重。一年多次产卵 ,产卵盛期为 4～ 5月 ,胚胎发育所需积温约为 2 3 0 0℃·h。     

嗜酸氧化亚铁硫杆菌生长动力学方程的应用

基于Monod模型推导出了A．f的生长动力学方程模型,采用Gauss-Newton算法确定了在不同初始条件下细菌生长的动力学参数,即最大比生长速率‰、Monod常数K及R0。通过在不同初始条件下细菌生长特性的研究,得到了相应初始生长条件下以限制性底物亚铁离子浓度为表征的生长动力学方程,理论上揭示了动力学参数变化对细菌生长的影响规律,其中生长动力学方程的数值模拟与实验数据相吻合。     

应用多模型推论估算北部湾多齿蛇鲻的生长参数

生长参数是渔业资源评估和管理策略中的关键参数,因而对目标鱼种选择合适的生长模型至关重要.本文以北部湾多齿蛇鲻为例,采用2006年12月至2009年7逐月采集的体长与年龄鉴定数据(n=2046),运用5个候选生长模型,利用最大似然法在加性误差条件下估算生长参数,并通过模型近似解释率(R²_adj)、根平均方差(RMSE)、赤井信息准则(AIC)和贝叶斯信息准则(BIC)检验模型拟合度.结果表明: 在当前大样本的情况下,4种统计方法在模型拟合度排序上表现一致;多模型推论检验结果表明,Generalized VBGF获得足够的模型支持,并占到AIC权重的95.9%,可以独立描述多齿蛇鲻的体长与年龄的生长关系,生长方程为:L_t=578.49^{\[1-e-0.051(t-0.14)\]0.361.}     

不同日粮蛋白水平对昆明小鼠仔鼠断奶前生长发育的影响

分别给5组昆明小鼠雌鼠14%、16%、18%、20%和22%蛋白水平的日粮后配种。测定其产仔数、仔鼠初生重,每隔两日称重至3周龄断奶,然后采用生长曲线方程拟合生长曲线。根据所获得的参数计算相对生长率,拟合相对生长曲线。结果表明:Gompertz 方程能够很好地拟合仔鼠断奶前的生长发育过程。通过分析蛋白水平对参数估计值、累积生长曲线、相对生长率、相对生长曲线的影响,表明14%蛋白水平显著影响仔鼠的生长发育,妊娠和哺乳期昆明小鼠的蛋白质需要为18%。     

洞庭湖黄颡鱼生物学特性

20 0 0年 3～ 5月 ,收集洞庭湖黄颡鱼 1 5 5尾 ,对其生物学特性进行研究。结果表明 ,黄颡鱼鳍式为D Ⅱ ,2～ 6,A 1 9～ 2 2 ,主要以虾、小型底栖鱼类、软体动物为食。体重 (W :g)与体长 (L :cm)关系为 :W =7 9861× 1 0 -2 L2 4471;体长生长方程为Lt=2 3 0 482 [1 -e-0 592 8(t+ 0 13 54) ];体重生长方程为 :Wt=3 68 3 90 9[1 -e-0 592 8(t+ 0 13 54) ]3 。生长速度以 1～ 2龄最快 ,以后逐步减慢 ,绝对繁殖力为 1 3 45～ 72 0 8粒 ,相对繁殖力为 48～ 78 3粒 g。繁殖力系数F =1 1 5 4977L1 453 9;性成熟年龄为 1 + 龄 ,自然性成熟雌鱼W =3 0 67g,L =1 0 2 9cm ,黄颡鱼人工养殖宜用 2年生产周期。     

作物生长温度效应的非线性模型及其比较研究

通过严密的数学证明,发现了前人关于作物生长温度效应非线性模型之间的内在联系,修正了有关学者对模型参数定义的局限性,提出了一个通用的作物生长温度效应非线性模型,本研究还将该模型与笔者最近提出的基于高斯方程的非线性模型进行了比较研究,介绍了应用SAS软件求取两个模型相关参数的方法,并以马铃薯生育期模拟为例进行了实证研究,表明这两个模型均有良好的适用性。     

分批培养条件下细菌群体生长阶段的区分及生长参数的确定

用样条插值法光滑实测数据后, 再用数值微分法对分批培养条件下细菌群体生长过程进行分析, 由此提出了区分群体生长阶段的新方法: 依据瞬时生长速度和瞬时生长加速度规律性的变化, 把细菌群体生长过程区分为加速生长期、恒速生长期、减速生长期和衰亡期四个阶段. 进一步应用Gaussian函数方程进行拟合, 得到新的生长参数. 测定了群体生长过程中DNA含量, 对其倍性变化的特点进行了讨论. 将新的表征群体生长的建模方法(Spline-Numerical-Gaussian, SNG)与依据Logistic方程划分生长阶段的传统方法作了比较, 并对SNG方法的生物学内涵作了进一步讨论.     

陆地碳循环研究中植物生理生态过程模拟进展

植物生理生态过程的模拟是陆地碳循环模型研究中的关键过程之一,就与碳循环过程密切相关的3个关键的植物生理生态过程;光合作用,碳分配和物候等过程的数学模式进行分类：（1）光合作用模式,根据光合作用模式基础的不同把光合作用模式分为：半经验模式;机理模式和使用卫星遥感资料的模式等;（2）植物碳分配模式介绍了功能平衡模式;运输-阻力模式;光合作用与生长模式;环境反应模式和大尺度生态系统模式等5类。（3）植被物候模式;根据观测和参数化方法的不同可以将现有的物候数值模式分为两类;观测统计模式和使用卫星遥感资料的物候模式,对各类模式的主要控制方程,研究进展和应用分别进行了简要评述。     

放射形土壤杆菌Q9415发酵产胞外多糖动力学研究*

放射形土壤杆菌Q941 5产胞外多糖PS 941 5的发酵为混合型发酵。应用logistic方程和L P方程对PS 941 5发酵过程的菌体生长 ,多糖合成以及底物消耗的动力学进行了讨论。研究发现 :logistic方程和L P方程建立的动力学模型较好地拟合了实验数据。     

红松单木高生长模型的研究

１引言生长模型是定量研究树木生长过程的有效手段。它既可对林木生长作出现实的评价,也可用来预估将来各测树因子的变化;既是编制修订各种数表的基础,也是森林经营中各种措施实施的依据。在林学上,生长模型主要包括单木生长模型和林分生长模型,其中单木生长模型是林...     

Modeling the role of myosin 1c in neuronal growth cone turning

We addressed the mechanical basis for how embryonic chick dorsal root ganglion growth cones turn on a uniform substrate of laminin-1. Turning is significantly correlated with lamellipodial area but not with filopodial length. We assessed the lamellipodial contribution to turning by asymmetric micro-CALI of myosin isoforms that causes localized lamellipodial expansion (myosin 1c) or filopodial retraction (myosin V). Episodes of asymmetric micro-CALI of myosin 1c (or myosin 1c and V together) caused significant turning of the growth cone. In contrast, repeated micro-CALI of myosin V or irradiation without added antibody did not turn growth cones. These findings argue that lamellipodia and not filopodia are necessary for growth cone turning. To model the role of myosin 1c on growth cone turning, we fitted the measured trajectories from asymmetric micro-CALI of myosin 1c-treated and untreated growth cones to the persistent random walk model. The first parameter in this equation, root-mean-square speed, is indistinguishable between the two data sets whereas the second parameter, the persistence of motion, is significantly increased (2.5-fold) as a result of asymmetric inactivation of myosin 1c by micro-CALI. This analysis demonstrates that growth cone turning results from an increase in the persistence of directional motion rather than a change in speed. Taken together, our results suggest that myosin 1c is a molecular correlate for directional persistence underlying growth cone motility.     

Growth kinetics of a yeast grown on glucose or hexadecane

The kinetics of growth of a Torulopsis sp. was investigated in a continuous culture with glucose or hexadecane as the carbon source; growth was limited by either carbon or nitrogen. The relationship between the concentration of the limited substrate and the steady-state growth rate of the organism was examined and tested against various models of growth. No existing model was found to describe the growth accurately and a new model has been proposed: It is postulated that this behavior would result from a simple first order reaction between the reactants of the rate-limiting enzymic reaction of the organism's metabolism.     

Growth with seasonally varying temperatures: an expansion of the von Bertalanffy growth model

The von Bertalanffy growth function has limitations for describing the growth of fishes in seasonal climates. In the present work, a new equation is proposed where the growth parameter k is substituted by a function related to monthly water temperatures. The computer program GROWTHS was developed to fit and simulate the growth for seasonally varying temperatures. Examples for natural populations of Barbatula barbatula and Cottus gobio are presented.     

Growth characteristics of a thermotolerant strain of lodderomyces elongisporus grown on sucrose

A thermotolerant yeast species of Lodderomyces elongisporus EH 60 was isolated and physiologically characterized. This yeast possesses a high specific growth rate with μ_max = 0.61 h^?1. The dependence of the specific growth rate and cell yield on temperature, dilution rate, sucrose concentration and pH-value is investigated. Sucrose concentrations greater than 10 g/l inhibit the growth velocity. The specific growth rate μ can be calculated by a simple combination equation in the form: . The total optimum values for a sucrose-based continuous growth process with regard to the optimum cell yeild are: Y_S = 0.50 g DM/g S. T_opt. = 38,6 °C and D_opt. = 0,35 h^?1. The function Y_S = f(D, T) is represented by a total model.     

A New Generalized Logistic Sigmoid Growth Equation Compared with the Richards Growth Equation

A new sigmoid growth equation is presented for curve-fitting,analysis and simulation of growth curves. Like the logisticgrowth equation, it increases monotonically, with both upperand lower asymptotes. Like the Richards growth equation, itcan have its maximum slope at any value between its minimumand maximum. The new sigmoid equation is unique because it alwaystends towards exponential growth at small sizes or low densities,unlike the Richards equation, which only has this characteristicin part of its range. The new sigmoid equation is thereforeuniquely suitable for circumstances in which growth at smallsizes or low densities is expected to be approximately exponential,and the maximum slope of the growth curve can be at any value.Eleven widely different sigmoid curves were constructed withan exponential form at low values, using an independent algorithm.Sets of 100 variations of sequences of 20 points along eachcurve were created by adding random errors. In general, thenew sigmoid equation fitted the sequences of points as closelyas the original curves that they were generated from. The newsigmoid equation always gave closer fits and more accurate estimatesof the characteristics of the 11 original sigmoid curves thanthe Richards equation. The Richards equation could not estimatethe maximum intrinsic rate of increase (relative growth rate)of several of the curves. Both equations tended to estimatethat points of inflexion were closer to half the maximum sizethan was actually the case; the Richards equation underestimatedasymmetry by more than the new sigmoid equation. When the twoequations were compared by fitting to the example dataset thatwas used in the original presentation of the Richards growthequation, both equations gave good fits. The Richards equationis sometimes suitable for growth processes that may or may notbe close to exponential during initial growth. The new sigmoidis more suitable when initial growth is believed to be generallyclose to exponential, when estimates of maximum relative growthrate are required, or for generic growth simulations.Copyright1999 Annals of Botany Company Asymptote,Cucumis melo,curve-fitting, exponential growth, intrinsic rate of increase, logistic equation, maximum growth rate, model, non-linear least-squares regression, numerical algorithm, point of inflexion, relative growth rate, Richards growth equation, sigmoid growth curve.     

生物生长的Richrds模型

生物的生长过程若用图形来描述将是一条S曲线,随生物物种、生态环境等因素不同,这一曲线是多样性变化．Richards生长方程当其参数m在数轴上滑动取值时,不仅包含了Mitscherlich,Brody,Bertalanffy,Gompertz,Logistic等生长方程,而且包含了它们的中间过渡类型和更为广义的形状,因而对众多生物物种的多样性生长过程,在细胞、器官、个体与群体等不同层次上具有广泛的适用性．本文中以变形虫、水稻、新疆乌伦古河鲈鱼、福建黄牛与海南坡鹿的Richards生长模型,图示了它的可塑性．     

Growth curves of body weight changes in laboratory-bred female African green monkeys (Cercopithecus aethiops)

Nonlinear growth models having three or four parameter family were applied to individual weight data of female African green monkeys for estimating their growth pattern. The body weight was measured continuously from birth to six years of age with five female laboratory-bred monkeys. A total of 95 weight data were collected from each monkey. The average body weight was 330 g with the standard deviation of +/- 15 g at birth, and 2.71 +/- 0.33 kg at four years of age. The body weight of female African green monkeys was judged to reach a plateau after about four years of age. Five growth models (Gompertz, Logistic, Richards, Bertalanffy, Brody) were applied to these weight to age data. The most suitable coefficient of determination between growth data and growth model was obtained by the application of Gompertz equation. Three parameters of Gompertz equation, mature size (A), rate of maturing (K) and inflexion point (e-1 A) were analyzed in relation to age of menarche. Strong correlations between age of menarche and maturing rate, as well as between age of menarche and inflexion point were observed.     

Integrated Kinetic and Probabilistic Modeling of the Growth Potential of Bacterial Populations

When bacteria are exposed to osmotic stress, some cells recover and grow, while others die or are unculturable. This leads to a viable count growth curve where the cell number decreases before the onset of the exponential growth phase. From such curves, it is impossible to estimate what proportion of the initial cells generates the growth because it leads to an ill-conditioned numerical problem. Here, we applied a combination of experimental and statistical methods, based on optical density measurements, to infer both the probability of growth and the maximum specific growth rate of the culture. We quantified the growth potential of a bacterial population as a quantity composed from the probability of growth and the “suitability” of the growing subpopulation to the new environment. We found that, for all three laboratory media studied, the probability of growth decreased while the “work to be done” by the growing subpopulation (defined as the negative logarithm of their suitability parameter) increased with NaCl concentration. The results suggest that the effect of medium on the probability of growth could be described by a simple shift parameter, a differential NaCl concentration that can be accounted for by the change in the medium composition. Finally, we highlighted the need for further understanding of the effect of the osmoprotectant glycine betaine on metabolism.