环丙沙星对土壤微生物量碳和土壤微生物 群落碳代谢多样性的影响

采用氯仿熏蒸浸提法和Biolog法,分析环丙沙星作用下的土壤微生物量碳和微生物群落碳代谢多样性,以揭示环丙沙星在环境中残留对土壤微生物学性状的影响.结果表明,环丙沙星(wCIP≥0.1 μg/g)对土壤微生物量碳含量影响显著(P＜0.05),土壤中环丙沙星浓度愈高,微生物量碳含量愈低,100μg/g的环丙沙星处理使土壤微生物量碳含量下降58.69％.环丙沙星对土壤微生物群落碳代谢功能影响显著,环丙沙星降低了土壤微生物对碳水化合物、羧酸、氨基酸、聚合物、酚类和胺类的碳源利用率;环丙沙星(wCIP≥0.1 μg/g)显著影响了土壤微生物群落碳源代谢强度和代谢多样性,但不同浓度的环丙沙星对土壤微生物群落碳代谢功能的影响不同,0.1、1、10 μg/g的环丙沙星处理对土壤微生物群落碳代谢功能的影响主要表现在处理前期(用药第7天、21天),这种影响在处理后期(用药第35天)表现不明显,100μg/g的环丙沙星在用药的前期和后期均显著影响土壤微生物群落碳代谢功能,土壤中环丙沙星积累到该浓度可能对土壤微生物群落碳代谢功能产生难以逆转的长期影响.     

广东省不同土地利用方式对土壤微生物量碳氮的影响

通过野外调查与室内分析,研究了广东省韶关红壤、广州赤红壤、雷州砖红壤3个地区4种不同土地利用方式(林地、果园、草地和农田)表层土壤(0～20cm)微生物量C、N特征.研究结果表明:不同土壤类型和不同土地利用方式对土壤微生物量C、N均有一定影响,其中土地利用方式影响更为明显.不同土地利用方式下土壤微生物量C、N差异显著,均表现为果园和林地高于农田和草地.土壤有机C、全N同样以果园较高.而对微生物商分析结果表明,不同的土地利用方式对土壤有机C总量和微生物生物量C的影响程度并不一致.相关分析表明,土壤微生物量C、N与全N、有机C、速效N显著正相关;土壤微生物量C、N之间显著相关,证实土壤微生物量C、N是可以表征土壤肥力的敏感因子.     

冬季作物对稻田土壤微生物量碳、氮和微生物熵的短期影响

研究不同的冬季作物马铃薯、黑麦草、紫云英、油菜在\"冬季作物-双季稻\"轮作种植制度下短期内对稻田土壤微生物碳、氮和微生物熵的影响,在湖南省土壤肥料研究所的实验网室内设置了小区试验.试验结果表明:几种冬季作物均提高了稻田土壤微生物碳、氮含量,黑麦草明显提高了土壤微生物量碳和微生物熵,紫云英明显提高了土壤微生物量氮.冬季作物对土壤微生物量碳和土壤微生物量氮的季节性影响变化趋势基本一致,紫云英、马铃薯处理的土壤微生物量C、N含量均在水稻生育期间8月中旬达到最大值.     

鼎湖山季风常绿阔叶林土壤微生物量碳和有机碳对模拟酸雨的响应

在鼎湖山季风常绿阔叶林设置人工模拟酸雨实验,研究土壤总有机碳含量、微生物量碳含量、土壤p H值和土壤呼吸速率几个指标对不同酸处理梯度(CK:p H值4.5的天然湖水;T1:p H值4.0;T2:p H值3.5;T3:p H值3.0)的响应。结果表明,在模拟酸雨的持续作用下,样地土壤酸化有加剧趋势。2011年的6月(CK:(603.76±46.18)mg/kg,T1:(565.41±44.48)mg/kg,T2:(521.58±30.92)mg/kg,T3:(509.49±19.40)mg/kg)、12月(CK:(488.92±22.71)mg/kg,T1:(379.65±49.46)mg/kg,T2:(346.08±33.81)mg/kg,T3:(318.00±52.35)mg/kg)和2012年6月(CK:(540.48±39.11)mg/kg,T1:(492.30±43.15)mg/kg,T2:(489.65±51.39)mg/kg,T3:(428.53±49.66)mg/kg)3次测定的土壤微生物量碳含量有随模拟酸雨强度增加而显著降低的趋势,高强度的酸处理T3显著低于CK值(P0.05);土壤呼吸速率在各处理中的响应与土壤微生物量碳含量变化一致。由于旱季和湿季的土壤温湿度相差较大,以上各指标在旱湿两季的差异明显,表现为湿季大于旱季。由于土壤总有机碳含量变化缓慢,其在各酸梯度处理下无显著差异(P0.05)。以上结果显示,长期酸雨作用使土壤酸化不断加剧,并降低了土壤微生物量碳的含量,抑制了土壤的呼吸速率,有利于土壤碳的累积,但对土壤总有机碳的影响仍需长期实验研究。     

26年长期施肥对土壤微生物量碳、氮及土壤呼吸的影响

研究长期小麦连作施肥条件下土壤微生物量碳、氮,土壤呼吸的变化及其与土壤养分的相关性。以陕西长武长期定位试验为平台,应用氯仿熏蒸-K2SO4提取法、碱液吸收法和化学分析法分析了长达26a不同施肥处理农田土壤微生物量碳、微生物量氮和土壤呼吸之间的差异及其调控土壤肥力的作用。长期施肥及种植作物,均能提高土壤微生物量碳、氮含量,尤其是施用有机肥,土壤微生物量碳、氮含量高于单施无机肥的处理,土壤呼吸量也提高15.91%—75.73%,而施用无机肥对于土壤呼吸无促进作用。土壤微生物生物量碳氮、土壤呼吸与土壤有机质、全氮呈极显著相关。长期有机无机肥配施可以提高土壤微生物量碳氮、土壤呼吸,氮磷肥与厩肥配施对提高土壤肥力效果最好。微生物量碳氮及土壤呼吸可以反映土壤质量的变化,作为评价土壤肥力的生物学指标。     

土壤微生物碳泵概念体系2.0

土壤微生物在陆地生态系统元素循环中扮演着关键角色,对土壤健康、粮食安全和全球气候变化发挥着重要的调节作用。土壤微生物同化代谢产物对土壤碳储存与有机质维持的贡献不容忽视。近年来,以微生物代谢和死亡残体生成过程为核心提出的土壤微生物碳泵概念体系得到了广泛关注,它主要描述了以土壤异养微生物代谢为驱动的土壤有机碳形成和稳定化过程,是目前陆地生态系统碳固存的重要机制体系与研究热点。本文对该体系的研究进展进行了梳理,并提出了引入自养微生物固碳通道与结合土壤矿物碳泵概念的土壤微生物碳泵概念体系2.0,以期丰富和完善现有的微生物介导的陆地生态系统土壤碳循环与固持机制,为实现我国“双碳”目标提供理论支撑。     

哈尼梯田生态系统土壤微生物量碳的影响因素

土壤微生物量碳(MBC,Microbial Biomass Carbon)是土壤微生物量的重要组成部分,也是土壤肥力变化的重要指标之一。哈尼梯田肥沃的土壤对哈尼梯田生态系统的维持与循环起到重要作用。以哈尼梯田水源区(乔木林、灌木林、荒草地)和梯田为研究对象,采用氯仿熏蒸法测定了4种不同土地利用类型0—20、20—40、40—60 cm 3个土层的土壤MBC,并分析了其与季节变化、地上植被及土壤理化性质之间的关系。结果表明:4种土地利用类型土壤MBC 3个土层皆以乔木林最高,其次是灌木林、荒草地、梯田,且4种土地利用类型土壤MBC含量都随土层深度的增加而减少,其中乔木林0—20 cm土层土壤MBC含量是40—60 cm土层的3.19倍。4种土地利用类型土壤MBC含量均具有明显的季节变化,总体呈\"夏季偏高冬季偏低\"的变化模式。相关分析表明,不同土地利用类型地上植被的多样性指数、盖度、优势种高度、枯落物层厚度与每一土层土壤MBC都具有很强的相互关系。土壤MBC与土壤有机碳和土壤孔隙度呈正相关性,与土壤容重呈负相关性。植被生长情况、土壤有机碳和孔隙度含量及季节变化是导致不同土地利用类型土壤微生物量碳差异的主要因素。     

不同密度巨桉人工林土壤有机碳及微生物量碳氮特征

通过原位试验,对华西雨屏区不同密度[833株·hm-2(A1)、1 333株·hm-2(A2)、2 222株·hm-2(A3)]巨桉(Eucalyptus grandis)人工林土壤有机碳和微生物生物量碳氮动态特征进行了研究。结果显示:(1)各密度巨桉林分土壤有机碳含量在夏季和秋季较高,春季和冬季较低,但季节变化相对平稳,而它们土壤有机碳含量年平均值分别为22.54g·kg-1(A1)、19.76g·kg-1(A2)、16.84g·kg-1(A3),且密度间差异达到显著水平。(2)各密度林分土壤微生物生物量碳氮呈现出与土壤有机碳相似的规律性季节变化,随着林分密度增加,林下土壤微生物生物量碳氮含量减小。(3)土壤微生物熵一年内的波动较小,分别处于2.30%~2.44%(A1)、2.14%~2.39%(A2)、2.47%~2.69%(A3)之间。(4)各密度林分土壤微生物生物量碳氮含量与其立地土壤有机碳、水解氮、有效磷、速效钾均存在显著相关关系。研究表明,华西雨屏区不同密度巨桉人工林土壤有机碳含量、微生物生物量碳氮含量、微生物熵季节变化相对平稳,但受到人工林密度的显著影响,并随巨桉密度增加土壤有机碳含量、微生物生物量碳氮含量有降低的趋势。     

不同培肥措施对红壤茶园土壤微生物量碳的影响

研究了经过4年不同培肥措施后红壤茶园土壤微生物量碳变化.结果表明:稻草覆盖后不同比例有机无机肥配施、间作三叶草以及全施化肥处理对土壤微生物量碳均有明显提高;全年土壤微生物量碳年变化都呈现\"低-高-低-高\"的趋势,且在不同时期对微生物量碳的影响不同;与对照(CK)相比,稻草覆盖 100%有机肥(T1)、稻草覆盖 75%有机肥 25%化肥(T2)、稻草覆盖 50%有机肥 50%化肥(T3)、稻草覆盖 25%有机肥 75%化肥(T4)、100%化肥(T5)和间作三叶草 不施肥(T6)土壤微生物量碳全年平均值分别高出17.05%、32.38%、32.05%、24.30%、26.23%和24.63%,且差异均达到显著水平(P＜0.05);土壤微生物量碳与活性有机质、土壤全氮、微生物量氮、微生物量磷呈显著正相关,与速效氮、土壤全磷、土壤全钾、土壤含水量之间关系不显著;与单施化肥和全量投入有机物料相比,有机物和化肥配合施用更有利于提高土壤肥力.     

鸡粪对铜污染土壤微生物生物量碳的影响

采用室内恒温好气培养法,研究了2．0％、4．0％、6．0％添加量鸡粪对铜污染土壤微生物生物量碳的影响。结果表明：向土壤中施入2．0％、4．0％、6．0％的鸡粪后,有机碳总量比对照分别增加了0．85、1．49、2．04倍,而可浸提有机碳含量分别增加了3．13、5．70、8．23倍,鸡粪的添加促进了土壤可浸提有机碳含量的增加,土壤可浸提有机碳含量和鸡粪添加量呈正相关（r=0．994^＊＊,n=12）。各处理土壤有机碳和可浸提有机碳含量随培养时间逐渐下降,90d后有机碳含量趋于稳定;土壤可浸提有机碳含量120d后趋于稳定。鸡粪显著促进了土壤微生物生物量碳含量和土壤微生物商的增加（P〈0．01）,与对照相比,2．0％、4．0％和6．0％鸡粪处理土壤微生物生物量碳含量分别增加2．88、5．19、6．98倍,土壤微生物生物量碳（SMBC）含量和土壤微生物商（SMQ）都与鸡粪的添加量呈正相关（rSMBC=0．998^＊＊,rSMQ=0．858,n=12）。在培养过程中士壤微生物生物量碳与土壤微生物商都呈现先下降再升高再下降的趋势。在培养试验的早期,鸡粪的添加有利于缓解铜污染土壤微生物生物量碳的下降,添加鸡粪的处理在培养的第10d后土壤微生物生物量碳含量开始上升,而对照则在30d以后才开始上升;添加鸡粪的处理在培养前期微生物生物量碳的最大下降幅度分别为：2．0％处理（52．74％）、4．0％处理（45．92％）、6．0％处理（55．52％）,而对照的下降幅度为92．02％。培养后期添加鸡粪处理土壤微生物生物量碳仍保持较高的水平。     

土壤微生物量测定方法概述

土壤微生物量是土壤生态系统研究的重要参数之一。常用的土壤微生物量的测定方法主要包括:直接镜检法、熏蒸系列方法、底物诱导系列方法、成分分析法和比色法。对这些具体测定方法、原理及其优缺点进行了简要的评述,并指出了应用这些方法须注意的问题和今后的研究方向。     

贵州山区土壤中微生物担是能源物质碳流动的源与汇

在传统的农业生态系统的研究中 ,主要精力放在营养物 (如Ｎ)上 ,认为它们是限制生产力的因素 ;而往往忽略了土壤中碳的重要性 ,认为收获不受Ｃ限制的影响。然而 ,碳循环中的有机碳的分解作用部分控制着出现在地表下和显露在地表上的农业过程[4]。土壤中所储存的有机质 ,其数量既反映土壤从植物残留物的输入所获得的有机质与微生物群落的能量和营养需求之间的平衡 ,又反映植物对营养物的需求与有机质分解作用之间的平衡。因此 ,土壤中碳的平衡能反映出有机质中能量物质的储存[5]。大部分由光合作用形成的碳 ,是通过地表下的生态系统来流动的[…     

Differences of Soil Microbial Biomass and Nitrogen Transformation under Two Forest Types in Central Germany

In order to observe the tree species effect on soil N status, soil microbial biomass C and N (C_mic, N_mic), potential N mineralization and potential nitrification (under laboratory incubation conditions, 22 °C) in different subhorizons (LOf₁, Of₂, Oh and mineral soil at 0–10 cm depth) were determined at three forest sites in central Germany. At each site, two contrasting stands (Beech, Norway spruce or Scots pine) were selected, where the initial soil conditions were similar. Three sampling dates that represented different stages of tree growth were selected: growing season - August, dormant season - November, after budbreak – April. In organic layers, C_mic-to-total C (C_t) ratios under beech and under conifer were 0.72–4.74% and 0.34–2.11%, respectively. N_mic-to-total N (N_t) ratios were 2.47–11.61% and 0.71–5.77%, respectively. Both concentrations of C_mic and N_mic were significantly affected by the stand type and sampling time. Potential N mineralization rates, ranging from 3.7 to 19.7 mg N kg⁻¹ d⁻¹, showed no clear pattern in relation to stand type. However, potential nitrification rates were mostly significantly higher under beech than under contrasting conifer. In mineral soils, concentrations of C_mic and N_mic showed a clear temporal pattern in the order: August>November>April. The average N_mic and N_mic-to-N_t were higher in soils from beech than conifer, while C_mic and C_mic-to-C_t ratios were similar between the two forest types. In organic layers, the highest values of C_mic-to-N_mic ratio and C_mic were found in November samples, especially under beech. By contrast, in mineral soils the highest value of C_mic-to-N_mic ratios were found in April samples, and at that time the C_mic concentrations were the lowest, especially under conifer. These results revealed the differences in microbial growth form and survival strategy associated with different tree species and soil layers.     

Heterotrophic Soil Respiration in Relation to Environmental Factors and Microbial Biomass in Two Wet Tropical Forests

We examined the correlation between fungal and bacterial biomass, abiotic factors such as soil moisture, carbon in the light soil fraction and soil nitrogen to a depth of 0–25 cm and heterotrophic soil respiration using a trenching technique – in a secondary forest (Myrcia splendens, Miconia prasina and Casearia arborea) and a pine (Pinus caribeae) plantation in the Luquillo Experimental Forest in Puerto Rico. Soil respiration was significantly reduced where roots were excluded for 7 years in both the secondary forest and the pine plantation. Microbial biomass was also significantly reduced in the root exclusion plots. In root exclusion treatment, total fungal biomass was on average 31 and 65% lower than the control plots in the pine plantation and the secondary forest, respectively, but the total bacterial biomass was 24 and 8.3% lower than the control plots in the pine plantation and the secondary forest, respectively. Heterotrophic soil respiration was positively correlated with fungal biomass (R²=0.63, R²=0.39), bacterial biomass (R²=0.16, R²=0.45), soil moisture (R²=0.41, R²=0.56), carbon in light fraction (R²=0.45, R²=0.39) and total nitrogen (R²=0.69, R²=0.67) in the pine plantation and the secondary forest, respectively. The regression analysis suggested that fungal biomass might have a greater influence on heterotrophic soil respiration in the pine plantation, while the bacterial biomass might have a greater influence in the secondary forest. Heterotrophic soil respiration was more sensitive to total N than to carbon in the light fraction, and soil moisture was a major factor influencing heterotrophic soil respiration in these forests where temperature is high and relatively invariable.     

热带次生林利用方式与土壤微生物活性

热带次生林利用方式与土壤微生物活性许炼烽,朱伍坤（国家环保局华南环境科学研究所,广州５１０６５５）ＷａｙｓｏｆＵｔｉｌｉｚｉｎｇＴｒｏｐｉｃａｌＳｅｃｏｎｄａｒｙＦｏｒｅｓｔａｎｄＳｏｉｌＭｉｃｒｏｂｉａｌＡｃｔｉｖｉｔｙ．￥ＸｕＬｉａｎｆｅｎｇ;Ｚ...     

从土壤中提取DNA方法比较

设计并比较了3种直接从土壤中提取DNA的方法。试验结果表明:3种方法都可以从土壤中提取到分子量大于23.13 kb的DNA的片段,每克干土DNA的提取量为2.5~31μg,不同方法间在DNA产量、纯度等方面存在较大差异。     

Ecological Stoichiometry of Microbial Biomass Carbon,Nitrogen and Phosphorus on Bauxite Residue Disposal Areas

Abstract

Ecological succession by microbial activity on bauxite residue disposal areas (BRDAs) would accumulate nutrients and convert the residue into a soil-like material. However, the role of microorganisms in nutrient cycling remains elusive on BRDAs. Carbon (C), nitrogen (N) and phosphorus (P) ecological stoichiometry is a critical indicator of nutrient cycling in an ecosystem. In order to investigate the changes in nutrients following long-term natural weathering process, the contents of C, N, P, microbial biomass carbon (MBC), nitrogen (MBN), and phosphorus (MBP) were measured in chronological stacks of bauxite residue. Deeply, their ecological stoichiometric characteristics were analyzed. Compared to freshly stacked residue, organic carbon (OC), total nitrogen (TN) and available phosphorus (AP) have increased 89%, 1640%, and 369% after 20?years, respectively. The C/N in 20-year-old residue (BR20) is 12.41, which close to the mean range of soil C/N in China. Bauxite residue C/P and N/P increased significantly with the stacking age increased. MBC/MBN decreased from 6.75 to 4.52 after stacked for 5?years, whilst MBC/MBP increased from 23.74 to 59.16 with stacking age. Data analysis of C, N, P and MBC, MBN, MBP in bauxite residue correlated significantly, indicating that microbial biomass can be used as a biological indicator to evaluate bauxite residue quality. This study revealed that BRDAs ecosystem development reaches homeostasis gradually, whilst CNP and MBCNP substrate ratio can be used as an effective tool to explore the mechanism of nutrient cycling.     

用于微生物多样性分析的棉田土壤总DNA的提取

目的：探讨适用于微生物多样性研究的棉田土壤微生物总DNA提取方法。方法：采用4种方法提取不同连作和轮作处理的棉田土壤微生物总DNA,比较其纯度、产率、片段大小,并应用ARDRA技术验证其质量。结果：其中3种方法均可获得23kb的DNA片段,但不同方法提取的DNA的产率和纯度上有明显差异。改良CTAB-SDS法提取的DNA完整性好,得率为24.20μg.g-1干土,纯化后A260/A280和A260/A230为分别为1.80和1.70,纯化回收率可达70.1%,完全适用于后续的PCR分析。结论：采用该法提取棉田土壤总DNA简便而高效。对该法提取获得的棉田土壤微生物总DNA进行ARDRA和DGGE分析,所得图谱能较全面地反映不同处理间微生物多样性及群落结构的差别,为不同栽培体系下棉田土壤微生物的分子生态学研究提供了基础。     

Variables of Microbial Response in Natural Soil Aggregates for Soil Characterization in Different Fluvial Land Shapes

The main objective of this study was to determine changes in microbial response in natural soil aggregates for soil characterization in different fluvial land shapes. This study was carried out in fluvial lands formed on accumulated sediment depositions carried by K?z?l?rmak River. The majority soils of the study area were classified as Typic Ustifluvent and Typic Haplustept in Soil Taxonomy. It was found that macroaggregates (especially >6300 μm and 2000–4750 μm diameters) of all soil samples were higher than microaggregate of soils. In addition, it was determined that the C_org content varies between 0.41–0.91% in soil samples. C_mic content was also found higher level in aggregates involved <250 and 250–425 μm diameters as compared to other aggregate size classes. Moreover, we detected that C_org:C_mic ratio was much higher in macroaggregates than in microaggregate fractions. BR levels were also greater in macroaggregates of >6,300, 4,750–6,300 and 2,000–4,750 μm than in the other macroaggregates sizes and microaggregates. Consequently, macroaggregates have relatively more C_org level than the C_org level in microaggregates, even if the absolute values of C_mic were the lower. This study thus evidenced contrasting microbial habitats and their response in different soil aggregate size formed in various developed soils.     

四种土壤微生物总DNA的纯化方法的比较

比较了4种从土壤中直接抽提的微生物总DNA的纯化方法,实验结果表明1 %的琼脂糖凝胶电泳纯化方法及葡聚糖凝胶G 2 0 0离心层析纯化方法均不能完全纯化从土壤中抽提的微生物总DNA。若将直接抽提的总DNA先经葡聚糖凝胶G 2 0 0离心层析纯化,再用1 %的琼脂糖凝胶电泳纯化,则能取得较好的纯化效果。含2 %PVP的1 %琼脂糖凝胶电泳纯化,用DNA凝胶回收试剂盒回收后没有得到纯化后的土壤微生物总DNA。