Fluctuations of the soil environment and fine root growth in a young Sitka spruce plantation

Summary From soil cores extracted at 5 day intervals from 3 May to 6 August it was found that the biomass of fine roots in a Sitka spruce plantation, 14 years old, fluctuated with maxima in late May and mid July. The earlier peak coincides with increasing soil temperatures during a period of high incident precipitation and the latter developed when the soil profile was rewetted. Fine root biomass and soil moisture tension (SMT) were significantly and negatively correlated in three of four soil horizons. Root mortality occurred whenever incident precipitation failed to maintain soil moisture tension near zero. In the very open pored horizons the critical SMT for root death was unexpected small, <0.1 bars; in the peat horizons it wasc 0.2 bars.     

苏北海滨湿地互花米草种子特征及实生苗生长

摘　要　在江苏盐城新洋港滩涂由海向陆建立样地：零星互花米草(Spartina alterniflora)斑块(SAP)?稳定互花米草滩下边缘(SAFI)?2003年互花米草定居处(SAF03)?1989年互花米草定居处(SAF89),对互花米草的种子特征及幼苗生长进行了研究。结果表明：(1) 各样地种子产量有极显著差异(p< 0.01),大小顺序为SAP > SAF03 > SAFI > SAF89,种子产量与植株结实率、穗长、单穗种子数成正比。(2) 4月份SAP、SAFI、SAF03和SAF89互花米草短暂土壤种子库分别为673.7 /m2、2328.7 /m2、5948.8 /m2和3990.4 /m2,种子保存率分别为0.5%、3.9%、6.9%和15.8%,且在各样地差异极显著(p< 0.01)。(3) 7月份SAP、SAFI、SAF03和SAF89实生苗数分别为72 /m2、5 /m2、0和0。SAP与SAFI种子萌发率显著高于SAF03与SAF89(p< 0.01)。(4)表层土壤水分含量和种群内部光照衰减是影响实生苗生长的关键因素。在表层土壤水分含量高和低光照衰减的生境中种子繁殖对互花米草种群延续和扩张贡献较大。     

基于生物质谱的蛋白质C末端研究进展

蛋白质的C末端在蛋白质进行各项生命活动过程中都起着极其重要的作用。它不仅标志着DNA转录翻译成蛋白质过程的初步完成,更是参与和调控了蛋白质的各种生理功能。研究蛋白质的C末端不仅有利于完整蛋白质的鉴定,对于在分子水平理解蛋白质的信号传导和生化功能是十分必要的。文中结合我们的研究工作,综述了近年来基于生物质谱的蛋白质C末端研究的相关进展,包括了C末端的识别、鉴定以及蛋白质C末端肽段富集的新方法和新技术。     

土壤中水溶性有机质及其对重金属化学与生物行为的影响

土壤水溶性有机质是陆地生态系统和水生生态系统中一种重要的、很活跃的化学组分,已成为环境科学、土壤学和生态学等学科的研究热点．土壤DOM对重金属化学与生物行为有重要影响。但其机理尚不清楚．文中从土壤性质、环境条件、人为因素等方面阐述了土壤DOM产生及影响因素,总结评述了DOM对重金属化学行为和生物有效性的影响,将DOM对重金属的影响机制归纳为络合机制、竞争吸附机制、酸碱缓冲机制．在此基础上,提出了DOM研究存在的问题及其展望．     

Microbial structural diversity estimated by dilution-extinction of phenotypic traits and T-RFLP analysis along a land-use intensification gradient

The present work tested whether the relationship between functional traits and inoculum density reflected structural diversity in bacterial communities from a land-use intensification gradient applying a mathematical model. Terminal restriction fragment length polymorphism (T-RFLP) analysis was also performed to provide an independent assessment of species richness. Successive 10-fold dilutions of a soil suspension were inoculated onto Biolog GN(R) microplates. Soil bacterial density was determined by total cell and plate counts. The relationship between phenotypic traits and inoculum density fit the model, allowing the estimation of maximal phenotypic potential (Rmax) and inoculum density (KI) at which Rmax will be half-reduced. Though Rmax decreased with time elapsed since clearing of native vegetation, KI remained high in two of the disturbed sites. The genetic pool of bacterial community did not experience a significant reduction, but the active fraction responding in the Biolog assay was adversely affected, suggesting a reduction in the functional potential.     

油蒿(Artemisia ordosica)的蒸腾作用及其群落的水分状况

 本文对比研究了处于不同生境的油蒿群落中油蒿的水分生理生态特性。结果表明：(1)半固定沙丘的油蒿比固定沙丘油蒿长势好,前者的生物量约为后者的4—5倍;(2)半固定沙丘土壤导水率是固定沙丘的10倍左右;(3)叶温与气温之差和水势能较好地反映油蒿的生长状况,而蒸腾速率与扩散阻力反映不十分敏感。     

不列颠·哥伦比亚省北部小杆松及白云杉立地指数与生态立地质量的关系

为在ＰｒｉｎｃｅＲｕｐｅｒｔ林区的“亚北方”部分建立生态立地质量与森林生产力的联系,对从９３个小杆松林分和７７个白云杉林分获得的数据进行了分析．所研究的林分处于两个气候状况、８个土壤水分状况以及５个土壤养分状况．这些气候、土壤水分和养分状况被视为等级变量用于林地分类和回归分析．小杆松和白云杉的立地指数随土壤水分和养分状况变化而变化,但不依赖于气候变化．与土壤水分相关的变化格局对两个种来说很相似,但与土壤养分相关的变化格局则全然不同．在所建立的５类回归模型中,土壤小区模型对于两个种都显示出立地指数与土壤水分和养分状况具有很强的相互关系（Ｒ２＞０．８０,ＳＥＥ≤１．６ｍ）．可以认为土壤水分和养分的等级度量在大范围内可作为小杆松和白云杉立地指数的预测预报因子．     

‘勐海大叶茶’种子萌发特性

以大叶茶品种‘勐海大叶茶’ （Camellia sinensis var. assamica cv. Menghai Dayecha） 种子为材料,进行种子萌发特性的初步研究。研究发现,种皮对‘勐海大叶茶’种子的萌发存在一定的作用,含水量较高时,人为破除种皮有助于种子的萌发,随着含水量的降低,人为破除种皮反而降低了种子的萌发率。‘勐海大叶茶’种子的最适萌发温度为30℃,15℃以下时萌发率较低,容易发生低温伤害,变温处理对提高种子萌发率的效果不明显。基质对大叶茶种子萌发的影响不明显,四种不同种植基质条件下,种子的萌发率趋于相同水平,证明基质类型并非影响种子萌发的关键因子。     

Short-term effects of wildfire on microbial biomass and abundance in black pine plantation soils in Turkey

Measurement of soil microbial biomass and abundance offers a means of assessing the response of all microbial populations to changes in the soil environment after a fire. We examined the effects of wildfire on microbial biomass C and N, and abundance of bacteria and fungi 2 months after a fire in a pine plantation. Soil organic carbon (C_org), total nitrogen (N_tot), and electrical conductivity (EC) increased following the fire. In terms of microbial abundance, the overall results showed that burned forest soils had the most bacteria and fungi. Microbial biomass C and N from soil in the burned forest were not significantly different from their unburned forest counterparts. However, microbial indices indicated that fire affects soil microbial community structure by modifying the environmental conditions. The results also suggested that low-intensity fire promotes microorganism functional activity and improves the chemical characteristics of soils under humid climatic conditions.     

DGGE fingerprinting of bacteria in soils from eight ecologically different sites around Casey Station,Antarctica

Bacterial community structures in soils collected from eight sites around Casey Station, Antarctica, were investigated using denaturing gradient gel electrophoresis (DGGE) of amplified 16S rRNA gene fragments. Higher bacterial diversity was found in soils from protected or relatively low human-impacted sites in comparison to highly impacted sites. However, the highest diversity was detected in samples from Wilkes Tip, a former waste disposal site that has been undisturbed for the last 50 years. Comparison of community structure based on non-metric multidimensional scaling plots revealed that all sites, except the hydrocarbon-contaminated (oil spill) site, were clustered with a 45% similarity. A total of 23 partial 16S rRNA gene sequences were obtained from the excised DGGE bands, with the majority of the sequences closely related to those of the Cytophaga–Flexibacter–Bacteroides group. No significant correlation was established between environmental variables, including soil pH, electrical conductivity, carbon, nitrogen, water content and heavy metals, with bacterial diversity across the eight study sites.