土壤藻生物量及其在荒漠结皮的影响因子

土壤藻生物量方法方面的不统一和操作性误差已长时间影响着土壤藻的研究进展。以沙坡头不同龄荒漠土壤为样点,通过直接计数、培养计数、体积换算法等方法的比较分析,提出了土壤藻生物量相对规范测定和计量方法——体积法;测定当地无浇灌溉人工区结皮中生物量为5.99-8.58mm^3/g dry soil,灌溉区1.28mm^3/g dry soil,最高值出现在8月份,最低值出现在2月份;与当地小气候、土壤理化性质等33项环境因子逐步回归显示,它们与当地降水量、土壤中总钾、水解氮、Fe^3 、粉粘粒含量显著正相关,与土壤pH、有机质、Cu、Zn含量显著负相关,同时受土壤中Co含量的影响。     

用氨基葡萄糖含量的测定值间接表示红曲菌固态发酵过程中生物量的研究

【目的】为准确快速地了解紫色红曲菌固态发酵中生物量的变化,【方法】采用理化方法测定菌体量和氨基葡萄糖含量,研究了不同培养时间、培养基组成、培养方式下菌体量与氨基葡萄糖含量的关系,建立生物量和氨基葡萄糖含量的换算关系式;构建关联该菌固态培养物近红外光谱数据与实测氨基葡萄糖含量的PLS模型。【结果】建立了可通过近红外光谱法测定氨基葡萄糖来快速预测固态发酵生物量的方法,其中最优近红外模型的校正集内部交叉验证均方根误差(RMSECV)为0.209 4,预测集相关系数(Rp)和均方根误差(RMSEP)分别为0.993 4和0.217 3;同时利用所建的换算关系式也大大提高了生物量计算的准确性。【结论】基于所建立的生物量和氨基葡萄糖的换算关系式,利用近红外光谱法可以快速并且较准确地测定紫色红曲菌固态发酵过程中生物量的变化。     

长期不同施肥制度对潮棕壤微生物生物量碳、氮及细菌群落结构的影响

以沈阳生态站长期定位试验为研究平台,采用传统氯仿熏蒸方法和现代PCR-DGGE技术探讨了长期不同施肥制度对土壤微生物生物量碳和氮及细菌群落结构的影响.结果表明:在整个试验期,土壤微生物生物量碳和氮的动态变化趋势基本相同;长期施用有机肥可显著提高土壤有机碳和土壤微生物生物量碳和氮含量,而长期施用化肥明显降低土壤pH,土壤微生物生物量碳和氮含量也显著降低.DGGE图谱表明:不同施肥处理的细菌16S rDNA多数条带分布相同,28条带中有18条为共有条带,说明潮棕壤中细菌类群较稳定,但其数量受到施肥的影响;长期施用有机肥促进潮棕壤细菌群落结构的多样性,而施用化肥处理则降低了其多样性.     

秦岭北坡几种人工林根系及土壤有机碳剖面分布特征的研究

对秦岭北坡浅山区刺槐、油松、侧柏人工林根系生物量、土壤有机碳含量以及土壤氮素进行了测定分析.结果表明,3种人工林之间的根系生物量存在差异,变异系数达到27.75%;土壤有机碳含量差异不明显,变异系数只有3.36%;在土壤剖面上,3种人工林根系生物量的垂直分布有明显差异,但土壤有机碳含量的层次变化基本一致,土壤有机碳主要集中在0~10 cm土层中,其含量超过0~60 cm土层总量的40%;3种人工林土壤全氮与土壤有机碳含量之间都呈显著的线性正相关.     

新疆天山中段巴音布鲁克高山草地碳含量及其垂直分布

对新疆天山中段巴音布鲁克高山草地(高山草原和高山草甸)的生物量和土壤有机碳进行了测定。结果表明积分和分层两种估算方法得到的土壤有机碳含量没有显著差异,但积分算法的优势在于能推算不同深度的土壤有机碳含量,便于与以往的研究进行比较;高山草甸的生物量和土壤有机碳含量均大于高山草原;其地上生物量分别为71.4和94.9 g C·m^-2,地下生物量分别为1 033.5和1 285.2 g C·m^-2; 1 m深度的土壤有机碳含量分别为25.7和38.8 kg·m^-2;地上生物量呈现较为明显的垂直分布格局,即随着海拔的增加,地上生物量先呈增加趋势,但当海拔超过一定界限后生物量突然下降;土壤含水率是导致南坡(阳坡)土壤有机碳含量空间分异的重要因素,但北坡(阴坡) 土壤有机碳含量还可能与地形、土壤质地等其它因素有关;两种高山草地(高山草原和高山草甸)的根系集中分布在40 cm以内,0~20 cm根系分别占其总量的76%和80%;土壤有机碳集中分布在60 cm以内,0~20 cm土壤有机碳分别占其总量的55%和49%;高山草原根系分布比高山草甸深,但较低的地下/地上比使得其有机碳分布比高山草甸浅。     

喀斯特地区不同土地利用方式对土壤有机碳、全氮以及微生物生物量碳和氮的影响

以广西环江大才为代表,选择亚热带典型喀斯特峰林谷地样区,通过对样区土壤进行密集采样和测定分析,研究了土地利用方式对土壤有机碳（O_C）和全氮（TN）含量及土壤微生物生物量碳（B_C）和氮（B_N）含量的影响.结果表明,3种土地利用方式下,土壤有机碳含量在稻田和林地中基本相同,而旱地显著低于稻田和林地.土壤全氮含量为稻田显著高于林地,而林地显著高于旱地.土壤微生物生物量碳含量为稻田显著高于林地,林地显著高于旱地.土壤微生物生物量氮含量在稻田和林地中基本相同,而旱地显著低于稻田和林地.旱地土壤pH值显著低于稻田和林地土壤.3种土地利用方式下,土壤微生物生物量碳与土壤有机碳、土壤微生物生物量氮与全氮含量之间均呈显著的正相关关系.土壤微生物生物量碳和氮含量可以作为评价喀斯特地区土壤质量和肥力的指标之一,对土地利用方式响应较为敏感.     

黄土高原不同植被类型土壤微生物残体碳的积累及其对有机碳的贡献

微生物残体碳是土壤有机碳的重要来源。黄土高原自退耕还林(还草)以来土壤碳储量显著增加,但不同植被类型土壤微生物残体碳对有机碳积累的贡献及其影响因素尚不明晰。本研究利用生物标志物(氨基糖)技术,测定黄土高原天然草地、柠条灌丛、辽东栎林地0～5和5～20 cm土层土壤中的微生物残体碳含量,并分析其与土壤理化指标的关系,探究不同植被类型土壤中微生物残体碳对有机碳的贡献及其影响因素。结果表明：1)同一土层,土壤pH值由草地、灌丛至林地依次显著降低,而有机碳、全氮、微生物生物量碳、微生物生物量氮表现为林地>灌丛>草地,差异显著,且0～5 cm土层显著高于5～20 cm土层。2)土壤微生物残体碳含量在3种植被类型的两个土层中的变化范围为0.69～16.41 g·kg^-1,其中,在0～5 cm土层,细菌、真菌和微生物残体碳含量均由草地、灌丛至林地依次显著增加,林地微生物残体碳含量是灌丛的2.9倍,灌丛是草地的4.2倍;在5～20 cm土层,林地真菌和微生物残体碳含量显著高于灌丛和草地。真菌残体碳含量高于细菌残体碳含量,是细菌残体碳的2.16～10.83倍。3)微生物...     

玉米种植模式对褐土微生物特性的影响

土壤微生物群落组成及其酶活性是表明土壤肥力的重要敏感指标。本研究以辽西北褐土区设置的玉米等行距(对照)、二比空、三比空和大垄双行4种种植模式为对象,调查了玉米不同种植模式对褐土微生物特性的影响。结果表明:在4种种植模式的微生物群落组成中,细菌为优势类群,其中三比空、大垄双行磷脂脂肪酸总量、细菌、丛枝菌根真菌、革兰氏阳性细菌和革兰氏阴性细菌丰度均显著高于等行距和二比空模式;大垄双行种植模式土壤β-1,4-葡糖苷酶活性、腐生真菌丰度、微生物生物量碳和碱解氮含量均显著高于等行距种植模式,而酸性磷酸酶含量则显著低于等行距种植模式。相关分析表明:碱解氮含量与腐生真菌丰度呈极显著正相关(P0.01),与酸性磷酸酶活性呈显著负相关(P0.05)。大垄双行种植模式较高的腐生真菌丰度有利于分泌更多的β-1,4-葡糖苷酶,提高微生物生物量碳和碱解氮含量,进而促进碳氮循环过程,有利于玉米的生长。     

海拔对辽东栎林地土壤微生物群落的影响

以北京东灵山辽东栎林地土壤为对象,运用氯仿熏蒸-浸提法及磷脂脂肪酸分析(PLFA)法,研究林木生长季节土壤微生物群落随海拔梯度的变化特征.结果表明:随着海拔升高,辽东栎林土壤微生物生物量碳、氮,以及微生物各类群含量均有差异但不显著;土壤细菌/真菌升高,而革兰氏阳性菌(G+)/革兰氏阴性菌(G-)降低.土壤微生物生物量碳、氮以及细菌、真菌、G+细菌、G-细菌的含量与土壤含水量、有机碳、全氮呈显著正相关,土壤真菌含量与土壤碳氮比值呈正相关.土壤微生物群落组成结构(细菌/真菌和G+细菌/G-细菌)的变化主要受土壤温度和土壤含水量的显著影响,说明土壤微生物群落结构对环境条件的变化敏感.随着全球变暖的加剧,暖温带辽东栎林地土壤真菌和G+细菌的比例有升高的趋势.     

湿生中小型土壤动物生物量测定方法

对于体型较小的湿生中小型土壤动物,目前还没有较好的方法可以直接测定其生物量。模型估算法作为一种间接测定法,由于测定费时没有得到广泛应用。因而,目前发表的大部分文献中均缺少湿生中小型土壤动物生物量这一指标。本文采用重铬酸钾容量法和氯仿熏蒸浸提法测定了湿生中小型土壤动物的有机碳含量,同时与模型估算法的测定结果进行了比较。结果表明,重铬酸钾容量法快速,操作简便,适合于大批量样品采集情况下湿生中小型土壤动物生物量的测定。     

Particle Counter Determination of Bacterial Biomass in Seawater

The applicability of the Elzone particle counter to the determination of marine bacterial biomass was investigated. The biomass of bacterial pure cultures and a mixed natural population were followed by using the particle counter, a CHN analyzer, and an ATP analyzer. The particle counter showed the precise size distribution of number and volume of submicron-size particles in seawater. For the pure cultured bacterial strains, the conversion factor from volume to carbon is 0.209 mg of C per mm³, and for natural bacterial cells of >0.6 μm in diameter, it is 0.184 mg of C per mm³. It is recommended that 0.2 be used as the conversion factor for both pure cultured marine bacterial cells and natural bacteria from coastal and near-shore marine environments.     

Estimation of carbon biomass and community structure of planktonic bacteria in Lake Biwa using respiratory quinone analysis

The relationship between bacterial respiratory quinone (RQ) concentration and biomass was assessed for Lake Biwa bacterial assemblages to evaluate the utility of bacterial RQ concentration as an indicator of bacterial carbon. The biomass estimated from the RQ concentration correlated well with that from cell volume, indicating that RQ concentration is an appropriate indicator of bacterial biomass. The estimated carbon content per unit of RQ (carbon conversion factor) of bacteria was 0.67 mg C nmol RQ^?1. Bacterial carbon biomass, which was estimated from the RQ concentration using the conversion factor, ranged between 0.008 and 0.054 mg C L^?1 (average 0.025 mg C L^?1) at 5 m depth and between 0.010 and 0.024 mg C L^?1 (average 0.015 mg C L^?1) at 70 m depth. Ubiquinone-8-containing bacteria dominated the epilimnion and hypolimnion. Compared to conventional image analysis, bacterial RQ analysis is a less laborious method of simultaneously determining bacterial biomass and community.     

Bacterial Biovolume and Biomass Estimations

The biomass of bacterial populations in aquatic ecosystems is often estimated by measuring bacterial biovolume and converting this into biomass in terms of carbon. A reliable conversion factor relating the measured bacterial biovolume to bacterial carbon content is essential for this approach. Based on direct measurements of bacterial cell carbon content, cell number, and biovolume, I have derived an average conversion factor of 5.6 × 10⁻¹³ g of C μm⁻³. This conversion factor is 3.4 to 6.6 times higher than most theoretically derived factors currently in use. Both bacterial biomass and bacterial production in aquatic ecosystems may thus have been seriously underestimated.     

Conversion of Biovolume Measurements of Soil Organisms, Grown Under Various Moisture Tensions, to Biomass and Their Nutrient Content

Direct microscopic measurements of biomass in soil require conversion factors for calculation of the mass of microorganisms from the measured volumes. These factors were determined for two bacteria, five fungi, and a yeast isolated from soil. Moisture stress conditions occurring in nature were simulated by growth in two media using shake cultures, on agar plates, and on membranes held at 34, 330, and 1,390 kPa of suction. The observed conversion factors, i.e., the ratio between dry weight and wet volume, generally increased with increasing moisture stress. The ratios for fungi ranged from 0.11 to 0.41 g/cm³ with an average of 0.33 g/cm³. Correction of earlier data assuming 80% water and a wet-weight specific gravity of 1.1 would require a conversion factor of 1.44. The dry-weight specific gravity of bacteria and yeasts ranged from 0.38 to 1.4 g/cm³ with an average of 0.8 g/cm³. These high values can only occur at 10% ash if no more than 50% of the cell is water, and a specific conversion factor to correct past data for bacterial biomass has not yet been suggested. The high conversion factors for bacteria and yeast could not be explained by shrinkage of cells due to heat fixing, but shrinkage during preparation could not be completely discounted. Moisture stress affected the C, N, and P content of the various organisms, with the ash contents increasing with increasing moisture stress. Although further work is necessary to obtain accurate conversion factors between biovolume and biomass, especially for bacteria, this study clearly indicates that existing data on the specific gravity and the water and nutrient content of microorganisms grown in shake cultures cannot be applied when quantifying the soil microbial biomass.     

Relationships between Biovolume and Biomass of Naturally Derived Marine Bacterioplankton

Microscopic estimation of bacterial biomass requires determination of both biovolume and biovolume-to-biomass conversion. Both steps have uncertainty when applied to the very small bacteria typically found in natural seawater. In the present study, natural bacterioplankton assemblages were freshly collected, passed through 0.6-μm-pore-size Nuclepore filters to remove larger particulate materials, and diluted for growth in 0.22-μm-pore-size Millipore filter-sterilized unenriched seawater. This provided cells comparable in size and morphology to those in natural seawater, but the cultures were free of the interfering particulate detritus naturally present. Cells were collected on glass-fiber GF/F filters, and biovolumes were corrected for cells passing these filters; C and N were measured with a CHN analyzer. Our criteria for size measurement by epifluorescence photomicrography were confirmed with fluorescent microspheres of known diameters. Surprisingly, in six cultures with average per-cell biovolumes ranging from 0.036 to 0.073 μm³, the average per-cell carbon biomass was relatively constant at 20 ± 0.08 fg of C (mean ± standard error of the mean). The biovolume-to-biomass conversion factor averaged 0.38 ± 0.05 g of C cm⁻³, which is about three times higher than the value previously estimated from Escherichia coli, and decreased with increasing cell volume. The C:N ratio was 3.7 ± 0.2. We conclude that natural marine bacterial biomass and production may be higher than was previously thought and that variations in bacterial size may not reflect variations in biomass per cell.     

Models for high cell density bioreactors must consider biomass volume fraction: Cell recycle example

Intrinsic models, which take into account biomass volume fraction, must be formulated for adequate simulation of high-biomass-density fermentations with cell recycle. Through comparison of corresponding intrinsic and non-intrinsic models in dimensionless form, constraints for non-intrinsic model usage in terms of biokinetic and fermenter operating parameters can be identified a priori. Analysis of a simple product-inhibition model indicates that the non-intrinsic approach is suitable only when the attainable biomass volume fraction in the fermentation broth is less than about 0.10. Inappropriate application of a non-intrinsic model can lead to gross errors in calculated substrate and product concentrations, substrate conversion, and volumetric productivity.     

Buoyant Densities and Dry-Matter Contents of Microorganisms: Conversion of a Measured Biovolume into Biomass

Several isolates of bacteria and fungi from soil, together with cells released directly from soil, were studied with respect to buoyant density and dry weight. The specific volume (cubic centimeters per gram) of wet cells as measured in density gradients of colloidal silica was correlated with the percent dry weight of the cells and found to be in general agreement with calculations based on the partial specific volume of major cell components. The buoyant density of pure bacterial cultures ranged from 1.035 to 1.093 g/cm³, and their dry-matter content ranged from 12 to 33% (wt/wt). Average values proposed for the conversion of bacterial biovolume into biomass dry weight are 1.09 g/cm³ and 30% dry matter. Fungal hyphae had buoyant densities ranging from 1.08 to 1.11 g/cm³, and their dry-matter content ranged from 18 to 25% (wt/wt). Average values proposed for the conversion of hyphal biovolume into biomass dry weight are 1.09 g/cm³ and 21% dry matter. Three of the bacterial isolates were found to have cell capsules. The calculated buoyant density and percent dry weight of these capsules varied from 1.029 g/cm³ and 7% dry weight to 1.084 g/cm³ and 44% dry weight. The majority of the fungi were found to produce large amounts of extracellular material when grown in liquid cultures. This material was not produced when the fungi were grown on either sterile spruce needles or membrane filters on an agar surface. Fungal hyphae in litter were shown to be free from extracellular materials.     

Carbon and Nitrogen Content of Natural Planktonic Bacteria

A method of estimating carbon and nitrogen content per unit of natural bacterial cell volume was developed. This method is based on the difference in the retentiveness of bacteria between two kinds of glass fiber filter, GF/C and GF/F (Whatman, Inc., Clifton, N.J.). Biovolume and biomass (carbon and nitrogen content) of bacteria which passed through the GF/C but not the GF/F filter were estimated with an epifluorescence microscopy and a CHN analyzer, respectively. From seasonal determinations of natural planktonic bacteria in epilimnetic waters of a mesotrophic lake, the conversion factors of 106 fg of C/μm³ and 25 fg of N/μm³ were derived as average values. By using these values, the contribution of bacteria to the biomass of lake plankton is discussed.     

Specific gravity of the dried biomass of pure bacterial cultures

The weight of wet and dry biomass taken from colonies after growth on MPA was determined in pure bacterial cultures of Pseudomonas denitrificans and Brevibacterium imperiale, and the number and dimensions of bacterial cells in dry preparations of the same colonies were measured by means of membrane filters. The average specific weight of dry biomass was found to be 1.68 and 1.62. In calculating the weight of bacterial biomass in pure cultures and natural cenoses, its volume should be assayed taking into account the number and dimensions of the cells in dry preparations on membrane filters and multiplying by a coefficient 1.6.     

天然云杉相容性生物量估算模型

基于150株天然云杉实测材积和生物量数据,利用非线性度量误差方法,建立相容性立木材积与生物量方程,并采用总量直接控制方案和分级联合控制方案研建了地上总生物量与4个分项(干材、干皮、树枝、树叶)的相容性方程系统,其中又采取了独立估计和联合估计两种处理方法进行地上生物量的估计.结果表明: 所建一元、二元相容性立木材积和地上生物量模型的材积和生物量决定系数均在0.85以上,最高达0.99,在胸径基础上增加树高变量能显著提高材积的预估效果,但对生物量的预估效果改进不大.就总量与分量相容性模型而言,分级联合控制方案所建的一元模型好于总量直接控制所建的一元模型,两种方案所建的二元模型效果相当.对一元、二元相容性生物量模型的拟合效果进行对比,结果显示,解释变量的增加明显提高了树枝和树叶生物量的拟合效果,对其他几个分量的拟合效果改善不大.对独立估计和联合估计的对比分析显示,两种估计方法几乎没有差异.