千烟洲针叶林的比叶面积及叶面积指数

根据实测数据计算了湿地松(Pinus elliotii)、马尾松(P. massoniana) 和杉木(Cunninghamia lanceolata)不同年龄、不同类型叶片的生物量和比叶面积,并结合样地调查数据和相对生长方程计算了中国科学院千烟洲试验站20年生湿地松林、马尾松林、杉木林和针叶混交林的叶面积指数。根据拟合结果,选择如下方程计算3个树种的叶生物量:湿地松W=12.074 1D^{2.151 5}、马尾松W=6.972 7D^{2.197 3}和杉木W=5.261 9D^{2.302 7}。湿地松林的叶生物量(0.822 kg·m^-2)最大,其次为针叶混交林(0.679 kg·m^-2),马尾松林和杉木林相差不大(分别为林0.528和0.572 kg·m^-2)。不同树种、不同年龄、不同类型叶片的比叶面积比较发现,新叶的比叶面积大于老叶,三针一束叶的比叶面积略大于两针一束叶,马尾松的平均半比表面积(8.62 m²·kg^-1)大于湿地松(6.04 m²·kg^-1)和杉木(7.91 m²·kg^-1)。胸径与单木叶片半表面积之间的经验方程为:湿地松LA=0.073D^{2.151 5}、马尾松LA=0.060D^{2.197 3}和杉木LA=0.042D^{2.302 7}。据此计算湿地松林的叶面积指数为5.03,马尾松林和杉木林为4.31,针叶混交林为4.77,该结果比利用CI-110植被冠层数字图像仪测得的结果偏大。     

极端干旱区多枝柽柳叶片气孔导度的环境响应模拟

气孔通过调节植物体水分散失和CO₂吸收在植物适应环境变化和环境胁迫中发挥重要作用。该文在对极端干旱区多枝柽柳(Tamarix ramosissma)叶片气体交换参数观测的基础上, 引入诊断函数f(H)对BWB模型和BBL模型提出的气孔导度(g_s)模型中的空气湿度(h_s或D_s)进行了评价, 并将评价结果引入叶子飘和于强推导出的g_s机理模型。结果表明: (1) BWB和BBL模型对h_s (或D_s)的模拟效果存在很大差异: BWB模型拟合效果较好(R² = 0.5354), BBL模型的结果显著但效果较差(R² = 0.1103)。试验结果显示: 随h_s(或D_s)的增大, g_s呈先增大后减小的趋势, 可用Gauss模型进行拟合, R²分别为0.593和0.258, 说明g_s与h_s的关系要比D_s更密切; (2)叶子飘和于强给出的简化模型(Simple模型)和该文给出的指数模型(Gauss-h模型)均具有较好的模拟效果(R²分别为0.8707和0.8286), η值分别为0.1245和0.0171, 其值均介于0-1之间; (3)模型验证中Gauss-h模型较Simple模型明显低估了观测值, 当观测条件无限趋近于Simple模型的假设时, Simple模型的拟合效果可得到显著提高(R² = 0.9606)。     

基于物候相机归一化植被指数估算高寒草地植物地上生物量的季节动态

准确评估地上生物量对优化草地资源管理和理解草地碳、水和能量平衡具有重要意义。该文通过近地遥感归一化植被指数(NDVI)构建最优经验模型, 对青藏高原高寒草地地上生物量进行估算。该文利用2018-2019年5-9月野外实测的地上生物量和植物冠层光谱仪(RapidSCAN)测定的NDVI_RS数据, 构建了生长季不同时期地上生物量的估算模型; 并结合2018年NetCam物候相机测定的NDVI_Cam时间序列数据, 实现地上生物量季节动态的模拟。主要结果: (1) NDVI_Cam、NDVI_RS与地上生物量具有相似的单峰型季节变化格局, 但NDVI峰值出现的时间(7月)较地上生物量(8月)更早; (2)基于NDVI的生物量估算最优经验模型在5、7和9月是幂函数, 在6和8月是二次多项式, 估算精度为0.29-0.77; (3)基于NDVI_Cam时间序列数据, 生长季不同时期建模(R² = 0.91)较单一时期(9月)建模(R² = 0.49)对地上生物量季节动态的估算更为准确。这些结果表明, 近地遥感是估算高寒草地植物地上生物量的有效手段, 开展季节性植物生长调查将有助于准确评估草地资源。     

黑龙江省红松人工林枝条分布数量模拟

基于黑龙江省佳木斯市孟家岗林场的12块样地65株人工红松解析木的955个枝解析数据,以Poisson回归模型和负二项回归模型作为备选模型,构建了人工红松二级枝条数量分布模型,并采用AIC、Pseudo-R²、均方根误差(RMSE)和Vuong检验对模型的拟合优度进行比较.结果表明: 每轮一级枝条分布数量集中在3~5个,均值为4个,一级枝条分布数量与人工红松自身的枝条属性相关.一级标准枝上二级枝条分布的离散程度较大,利用全部子回归技术构建二级枝条分布数量模型,最终选择以负二项回归模型为基础的E(Y)=exp(β₀+β₁lnRDINC+β₂RDINC²+β₃HT/DBH+β₄CL+β₅DBH)作为二级枝条分布数量最优预测模型(β为参数;RDINC为相对着枝深度;HT为树高;DBH为胸径;CL为冠长).最优模型的Pseudo-R²为0.79,平均偏差接近于0,平均绝对偏差<7.对于所建立的模型,lnRDINC、CL和DBH的参数为正值,RDINC²和HT/DBH的为负值,随着RDINC增大,在树冠内二级枝条分布数量存在最大值.总的来说,所建立的人工红松二级枝条分布数量模型的预测精度为96.4%,可以很好地预估该研究区域人工红松二级枝条分布数量,为以后枝条的光合作用和生物量的研究提供了理论基础.     

东江外来齐氏罗非鱼个体繁殖力初步研究

于2011年1月至2011年12月,逐月在东江采集齐氏罗非鱼样本, 研究其个体繁殖力。结果表明, 齐氏罗非鱼属于多次产卵类型, 在东江的繁殖期约为5月初到10月底。个体绝对繁殖力(F)在4913~13129粒之间, 平均为7991粒;一次产卵量(F_b)在1997~6369粒之间, 平均为4114粒;体长相对繁殖力(F_L)在49~83粒/mm之间, 平均为62粒/mm;体质量相对繁殖力(F_W)在66~154粒/g之间, 平均为98粒/g。个体绝对繁殖力及一次产卵量与体长(L)呈幂函数相关, 与体质量(W)及净体质量(W_n)呈线性相关。相关回归式分别为:F=2.186L^1.6886 ;F_b =0.7243L^1.7796;F=50.184W + 3627.3;F_b=25.008W + 1952.2;F=58.783 W_n + 3553.4, F_b=28.939 W_n +1942。     

利用随机效应模型模拟东北三省胡桃楸地位指数

通过精确模拟东北三省胡桃楸多形地位指数混合效应模型,为胡桃楸立地质量评价提供科学依据,本研究在辽宁、吉林和黑龙江三省23个典型区域内,采用样圆法布设样地197块,测定样地内胡桃楸树高-年龄数据,共得到数据1537组,同时将立地因子进行划分和赋值,应用方差分析和模型拟合进行计算。结果表明: 坡位是影响胡桃楸优势木生长最显著的因素,其次为土壤深度、坡度和坡向等;对8种常见基础模型进行拟合与分析,发现逻辑斯蒂模型H=a/[1+exp(b+cA)]为最优基础模型(R²=0.70),平均绝对误差(MAE)为2.52;对4种主要影响因素进行随机组合,得到随机组合因素最优地位指数模型M_8.15,其R²=0.90,提高了基础模型的拟合精度;采用K均值聚类分组法进一步将初始的立地类型划分为6个立地类型组,按6个立地类型组建立的非线性混合效应模型M_final,即H=(20.1837+u_i)/[1+exp (1.7352-0.0961A)]+ε_ij,其R²=0.92,AIC=912.65,模型的拟合度和精确度显著提高,可以用于东北三省复杂立地类型下胡桃楸立地质量的准确评价。     

基于线性混合效应的红松人工林枝条生物量模型

基于黑龙江省孟家岗林场60株红松解析木3643个枝条生物量的实测数据,利用全部子回归技术建立了枝条生物量模型(枝、叶和枝总生物量模型),最终选择lnw=k₁+k₂lnL_b+k₃lnD_b为枝条生物量最优基础模型.利用SAS 9.3统计软件的PROC MIXED模块建立枝条生物量混合模型,并采用AIC、BIC、对数似然值和似然比等统计指标评价不同模型的拟合效果.结果表明: 红松解析木的叶和枝总生物量混合模型以k₁、k₂、k₃作为随机效应参数的拟合效果最好,而枝生物量混合模型以k₁、k₂作为随机效应参数的拟合效果最好.最后将枝条生物量最优基础模型与最优混合模型进行模型检验.混合模型各项指标优于基础模型,能有效地提高模型的预估精度,并且通过方差协方差结构校正随机参数来反映树木之间的差异.     

林分密度对马尾松林下植物与土壤种子库多样性的影响

林分密度是影响林下植物多样性的重要因子。本研究以马尾松人工林为对象,设置低密度(1575株·hm^-2,D₁)、中密度(2474株·hm^-2,D₂)和高密度(3550株·hm^-2,D₃)3个林分密度,分析林下植物和土壤种子库多样性及二者的关系,为马尾松人工林实现多目标可持续发展提供科学依据。结果表明: 3种林分密度林下草本与灌木植物共有42科62属70种,D₁密度以喜光植物种类分布较多,而D₂、D₃密度以耐阴植物为主;3种林分密度间的草本、灌木的Margalef (M)、Shannon (H)、Simpson (D)、Pielou (J_sw)、Alatalo (Al)指数均随林分密度增加而呈下降趋势,且在草本与灌木层中对密度的响应不同。在草本层中,D₁与D₃的H、D、J_sw、Al指数均存在显著差异;在灌木层中,不同林分密度J_sw和Al指数存在显著差异,H和D指数差异不显著。土壤种子库H、D、J_sw和Al指数均随林分密度增加呈先下降后升高趋势,D₁密度的物种丰富度及多样性最高;不同林分密度下土壤种子库Jaccard与Sorensen相似性系数均较低。草本层M与J_sw指数呈显著正相关;灌木层林分密度与H、D、J_sw、Al指数的相关性大于草本层,而草本、灌木层的林分密度与J_sw指数均呈显著负相关。林分密度1575株·hm^-2是马尾松林下植被生长发育较为合适的密度,能够维持林下植物多样性,有利于马尾松人工林的可持续经营。     

水蚀风蚀交错区不同土地利用方式的土壤水气传输特性

研究水蚀风蚀交错区土地利用方式转变对土壤水气传输的影响,可为黄土高原生态恢复过程中有限水土资源的高效利用提供参考.为了分析不同土地利用方式下的土壤水气传输特性,探究饱和导水率(K_s)、导气率(K_a)和相对气体扩散率(D_P/D₀)间的关系,对柠条地、撂荒地、苜蓿地、农地和裸地样地0~5 cm深度土层原状土,采用定水头法测定K_s,气室法测定D_P/D₀,土壤导气率测定仪测定田间持水量(FC)下的K_a.结果表明: 土壤0~5 cm容重(ρ_b)的大小顺序为苜蓿地>裸地>撂荒地>柠条地>农地,撂荒地、裸地和苜蓿地ρ_b与农地差异显著.土壤总孔隙度(Φ)的大小顺序为农地>柠条地>撂荒地>裸地>苜蓿地,相比农地,苜蓿地、裸地和撂荒地土壤Φ分别低7.5%、4.7%和3.1%.充气孔隙度(ε₁₀₀)的大小顺序为农地>撂荒地>柠条地>裸地>苜蓿地,苜蓿地、裸地、柠条地和撂荒地ε₁₀₀分别较农地低38.3%、33.6%、12.8%和10.1%.土壤K_s的大小顺序为撂荒地>柠条地>苜蓿地>裸地>农地,其中,撂荒地K_s显著高于其他4种土地利用方式;土壤K_a的大小顺序为撂荒地>苜蓿地>柠条地>裸地>农地,撂荒地与农地之间差异显著;土壤D_P/D₀的大小顺序为撂荒地>柠条地>苜蓿地>农地>裸地,其中,柠条地和撂荒地土壤D_P/D₀显著大于农地,分别较农地高36.8%和61.6%.土壤K_s和FC条件下的K_a、D_P/D₀之间呈显著相关.土地利用方式转变显著改变了土壤的通透性,耕地撂荒或者种植柠条及苜蓿改善了表层土壤导水和导气性能,农地和裸地土壤水气传输能力较差.     

基于线性混合模型的红松人工林一级枝条大小预测模拟

基于黑龙江省孟家岗林场60株人工红松955个标准枝数据,采用线性混合效应模型理论和方法,考虑树木效应,利用SAS软件中的MIXED模块拟合红松人工林一级枝条各因子(基径、枝长、着枝角度)的预测模型.结果表明： 通过选择合适的随机参数和方差协方差结构能够提高模型的拟合精度;把相关性结构包括复合对称结构CS、一阶自回归结构AR(1)及一阶自回归与滑动平均结构ARMA(1,1)加入到一级枝条大小最优混合模型中,AR(1)可显著提高枝条基径和角度混合模型的拟合精度,但3种结构均不能提高枝条角度混合模型的精度.为了描述混合模型构建过程中产生的异方差现象,把CF₁和CF₂函数加入到枝条混合模型中,CF₁函数显著提高了枝条角度混合模型的拟合效果,CF₂函数显著提高了枝条基径和长度混合模型拟合效果.模型检验结果表明：对于红松人工林一级枝条大小预测模型,混合效应模型的估计精度比传统回归模型估计精度明显提高.
     

基于贝叶斯似乎不相关回归方法的天然蒙古栎生物量模型构建

以胸径和树高作为自变量,基于多元似然分析、似乎不相关回归等方法研建了黑龙江省天然蒙古栎可加性生物量模型系统。结果表明: 树高显著提高了树干生物量模型的效果,决定系数(R²)从0.953提高到0.988,均方根误差(RMSE)减小14 kg,对树枝、树叶和树根生物量的影响并不显著。单变量(仅含胸径)和双变量(胸径、树高)幂函数形式的生物量模型系统的误差结构均为相乘型,表明对数转换后的线性模型形式更合适。树干、树枝、树叶、树根生物量模型的R²分别为0.953～0.988、0.982～0.983、0.916～0.917、0.951～0.952,RMSE分别为13.42～27.03、6.84～7.00、1.95～1.97、9.71～9.84 kg。与广义最小二乘法(FGLS)相比,贝叶斯估计产生了相似的模型拟合效果,却提供了不同变异大小的参数估计值。FGLS各参数标准误为0.054～0.211,而使用Jeffreys不变先验的两种贝叶斯估计方法(DMC和Gibbs1)产生相似的参数变异(标准差为0.055～0.221);使用均值向量为0、方差为1000且协方差为0的多元正态先验(Gibbs2)和使用来自栎属树种生物量模型历史研究汇总的先验(Gibbs3)产生了更大的变异(标准差为0.080～0.278),使用自身数据获取的先验(Gibbs4)估计得到的各参数变异小于其他方法(标准差为0.004～0.013)。当使用Gibbs4法建立模型时,两类模型不仅能提供最窄的95%预测区间,还能产生更小的预估偏差,树干、树枝、树叶、树根和总生物量在单变量模型中的平均绝对偏差百分比(MAPE)分别为19.8%、24.7%、24.6%、29.0%和13.1%,树干和总生物量在双变量模型中的MAPE分别减小到10.5%和9.8%,其他组织MAPE未改变,表明Gibbs4法能提供更准确的生物量预测值。与传统回归方法相比,准确的先验信息使贝叶斯统计在估计稳定性和不确定性减小方面具有优势。     

样本量对云南松幼苗生物量模型构建及预估精度的影响

为探究不同样本量对生物量模型构建及建模精度的影响，以实际调查的20个家系，共615株云南松幼苗为例，通过编写计算机程序建立进行简单随机抽样，构建不同样本量云南松幼苗各器官及单株生物量异速生长方程。利用决定系数（R²）、估计值标准误（SEE）、均方根误差（RMSE）、总相对误差（RS）及平均误差绝对值（MAB），对模型拟合优度与精度进行比较分析。结果表明：幂函数方程可较好地用于估测云南松幼苗生物量；随着样本量的增加模型精度评估指数MAB呈幂函数形式逐渐减小；当样本数量小于200时MAB较为敏感，模型精度较差，样本量大于200时，其精度随样本量逐渐增加，但变化幅度逐步减小并趋于稳定。因此，根据MAB的变化趋势，样本量达到200时可以构建精度较高且稳定模型。     

Estimation of biomass allocation and carbon density of Rhododendron simsii shrubland in the subtropical mountainous areas of China

Aims As an important potential carbon sink, shrubland ecosystem plays a vital role in global carbon balance and climate regulation. Our objectives were to derive appropriate regression models for shrub biomass estimation, and to reveal the biomass allocation pattern and carbon density in Rhododendron simsii shrubland.
Methods We conducted investigations in 27 plots, and developed biomass regression models for shrub species to estimate shrub biomass. The biomass of herb and litterfall were obtained through harvesting. Plant samples were collected from each plot to measure carbon content in different organs.
Important findings The results showed that the power and linear models were the most appropriate equation forms. The D and D²H (where D was the basal diameter (cm) and H was the shrub height (m)) were good predictors for organ biomass and total biomass of shrubs. All of the biomass models reached extremely significant level, and could be used to estimate shrub biomass with high accuracy. It was more difficult to predict leaf and annual branch biomass than stem biomass, because leaf and annual branch were susceptible to herbivores and inter-plant competition. The mean biomass of the shrub layer was 20.78 Mg·hm^-2, in which Rhododendron simsii and Symplocos paniculata biomass accounted for 93.63%. Influenced by both environment and species characteristics, the biomass of the shrub layer organs was in the order of stem > root > leaf > annual branch. The root:shoot ratio of the shrub layer was 0.32, which was less than other shrubs in subtropical regions. The relative higher aboveground biomass allocation reflected the adaptation of plants to the warm and humid environment for more photosynthesis. The mean total community biomass was 26.26 Mg·hm^-2, in which shrub layer, herb layer and litter layer accounted for 79.14%, 7.62% and 13.25%, respectively. Litter biomass was relatively high, which suggested that this community had high nutrient return. There were significant correlations among aboveground biomass, belowground biomass and total biomass of shrub layer and herb layer. The mean biomass carbon density of the community was 11.70 Mg·hm^-2 and the carbon content ratio was 44.55%. The carbon density was usually obtained using the conversion coefficient of 0.5 in previous studies, which could overestimate carbon density by 12.22%.     

Extracting absolute titanium-alkyl and-hydride bond enthalpies from relative D(TiR(H)) in (silox)2(Bu3SiNH)TiR: electronegativity and ECT models

Relative D(Ti-R)_rel have been measured previously for (silox)₂(^tBu₃SiNH)TiR (1-R). Pauling and Matcha equations of D(MR) that contain elements of electronegativity, D(MM), D(HH) and D(RH) were used to estimate absolute D(TiR) in 1 with minimal success. The electronegativity approaches need a variety of substituents with a wide spread in χ_R, hence examination of 1-H and 1-R are heavily and incorrectly weighted by D(TiH)-D(TiR). Absolute D(TiR) generated in this manner approach those of related systems only when χX_Ti = 2.9, a value shown to be irrational. Drago's ECT parameters were used in the hope that the three parameter fit would compensate for inadequacies in electronegativity-based methods. The limited set of alkyl parameters available, and a lack of distinguishing parameters that can significantly differentiate one alkyl from another, render this potentially useful method imprecise.     

Biomass allocation patterns of Loropetalum chinense

Aims Biomass is the most fundamental quantitative character of an ecosystem. Biomass allocation patterns reflect the strategies of plants to adapt various habitat conditions and play a vital role in evolution, biodiversity conservation and global carbon cycle. Loropetalum chinense shrub is one of the most dominant shrub types in subtropical China. The objectives of this study were to quantify the allometric relationships and the biomass allocation pattern among organs, and to investigate the effects of body size, shrub regeneration origin and site factors on allometry and biomass allocation.
Methods Individual samples of L. chinense were harvested from shrublands in subtropical China and were further divided into leaves, stems and roots. The allometric relationships between different organs were modeled with standard major axis (SMA) regression and the biomass allocation to different organs was quantified. The effects of body size, shrub regeneration origin and other habitat factors on allometry and allocation were examined using Pearson’s correlation analysis and multiple linear regressions.
Important findings The isometric scaling relationships between shoot and root changed to allometric relationships with increasing basal diameter. The scaling relationships between leaf and stem and between leaf and root were isometric for smaller diameter classes, while for larger diameter classes they were allometric. These relationships were significantly different among shrub regeneration origin types. The scaling relationships between different organs were not affected by habitat factors; while the coverage of shrub layer and slope affected biomass allocation due to their influences on the allometric relationships between different organs at the initial stage of growth. The mean dry mass ratios of leaf, stem, root and the mean root to shoot ratio were 0.11, 0.55, 0.34 and 0.65, respectively. With the increase of basal diameter class, stem mass ratio (0.50-0.64) increased, while leaf mass ratio (0.12-0.08) and root mass ratio (0.38-0.28) decreased, and consequently root to shoot ratio (0.91-0.43) also decreased. In secondary shrublands, the leaf mass ratio was 0.12 and the root mass ratio was 0.33, while these values were 0.07 and 0.36 respectively in natural shrublands. The ratio of aboveground allocation was significantly correlated to shrub layer coverage (r = 0.44, p < 0.05). Leaf mass ratio was significantly correlated to slope (r = -0.36, p < 0.05) and root mass ratio was significantly correlated to mean annual temperature (r = 0.34, p < 0.05). Results showed that with the increase of body size, the scaling relationships between different organs of L. chinense changed from isometric to allometric, and more biomass was allocated to aboveground part, and concretely, to stems. Human disturbance affected biomass allocation by its influences on the allometric relationships between different organs, and by increasing biomass allocation to leaves and decreasing allocation to roots. Reduced light resource promoted the biomass allocation to aboveground part, and higher slope resulted in decreased biomass allocation to leaves, while higher mean annual temperature promoted biomass allocation to roots. The variation in annual precipitation had no significant influences on biomass allocation. The biomass allocation strategies of L. chinense partially support the optimal partitioning theory.     

Hydrodynamic properties of the fractions of mannan formed by Rhodotorula rubra yeast

Aqueous solutions of fractions of an extracellular linear mannan formed by Rhodotorula rubra yeast have been investigated by hydrodynamic methods (high-speed sedimentation, translation isothermic diffusion and viscometry). The molecular weight was determined according to Svedberg ( ) and the polydispersity parameters of the initial sample were also determined (M_w/M_n = 1·20 and M_z/M_w = 1·21). Relationships between the molecular weight (M) and s_o, D_o and [η] in the range were: [η] = 2·33 × 10⁻² M^0.75, D_o = 1·65 × 10⁻⁴ M^0·58, s_o = 2·24 × 10⁻¹⁵ M^0·43. The equilibrium rigidity and hydrodynamic diameter of chains representing mannan molecules were evaluated.     

The radiosensitivity of spermatogonial stem cells in C3H/101 F1 hybrid mice

The radiosensitivity of spermatogonial stem cells of C3H/HeH × 101/H F₁ hybrid mice was determined by counting undifferentiated spermatogonia at 10 days after X-irradiation. During the spermatogenic cycle, differences in radiosensitivity were found, which were correlated with the proliferative activity of the spermatogonial stem cells. In stage VIII_irr, during quiescence, the spermatogonial stem cells were most radiosensitive with a D₀ of 1.4 Gy. In stages XI_irr−V_irr, when the cells were proliferatively active, the D₀ was about 2.6 Gy. Based on the D₀ values for sensitive and resistant spermatogonia and on the D₀ for the total population, a ratio of 45:55% of sensitive to resistant spermatogonial stem cells was estimated for cell killing.

When the present data were compared with data on translocation induction obtained in mice of the same genotype, a close fit was obtained when the translocation yield (Y; in % abnormal cells) after a radiation dose D was described by Y = e^τD, with τ = 1 for the sensitive and τ = 0.1 for the resistant spermatogonial stem cells, with a maximal e^τD of 100.