不同土地利用对土壤有机碳储量及土壤呼吸的影响

为了探讨土地利用方式对土壤碳储及土壤呼吸的影响,对安徽沿淮洼地杞柳纯林、杞柳-杨树混交林及杨树纯林3种不同土地利用方式下土壤有机碳储量及土壤呼吸特点进行了比较。结果表明:杞柳纯林、杞柳-杨树混交林、杨树纯林0～30cm土壤有机碳含量分别为6.80、8.50和7.71g·kg-1,土壤有机碳密度分别为2.88、3.26和2.95kg·m-2,土壤有机碳含量和土壤碳密度随土层深度的增加而降低。不同土地利用类型土壤呼吸年平均值分别为1.68μmol·m-2·s-1(杞柳纯林)、2.33μmol·m-2·s-1(杞柳-杨树混交林)、1.61μmol·m-2·s-1(杨树纯林),土壤呼吸日均值最高出现在夏季(6.64μmol·m-2·s-1),最低为冬季(0.13μmol·m-2·s-1)。相关分析表明,土壤呼吸速率与地表气温之间呈显著的指数关系,杞柳纯林、杞柳-杨树混交林、杨树纯林的相关系数R2分别为0.71、0.62、0.54。杞柳-杨树混交林较杞柳纯林有利于土壤有机碳的固定,杞柳纯林土壤有机碳储量偏低,与其粗放经营有关。在今后的栽植管理中,应采取合理的耕作施肥措施,在提高土壤肥力的同时增强土壤的碳固定。     

湿地松林分结构调整对土壤活性有机碳的影响

以21 a湿地松纯林为对照,研究了间伐后补植阔叶树(间伐补阔,补植枫香)对不同年限(3、6、9 a)湿地松林分和21 a湿地松×枫香混交林土壤活性有机碳的影响.结果表明：间伐补阔后,6和9 a湿地松林分的土壤可溶性有机碳(DOC)、易氧化有机碳(ROC)和微生物生物量碳(MBC)含量均比21 a湿地松纯林显著增高;21 a湿地松×枫香混交林的土壤各活性碳组分含量显著高于3、6、9 a湿地松林分,其DOC、ROC和MBC含量分别比21 a湿地松纯林增加113.1%、53.3%和54.6%.说明间伐补阔结构调整是改善人工湿地松纯林土壤生态功能的有效措施.     

杭州湾滨海湿地土壤有机碳含量及其分布格局

通过研究杭州湾自然潮滩湿地和围垦湿地土壤有机碳含量及其分布格局,揭示湿地植被演替、外来物种入侵和围垦活动对土壤有机碳分布的影响.结果表明:潮滩湿地土壤表层有机碳含量在4.41～8.58 g·kg-1,平均值6.45 g·kg-1.不同植被类型下表层土壤有机碳表现为:芦苇(8.56±0.04 g·kg-1)＞互花米草(7.31±0.08 g·kg-1)＞海三棱蔗草(5.48±0.29 g·kg-1)＞光滩(4.47±0.09 g·kg-1);围垦湿地表层土壤有机碳表现为:20世纪60年代(7.46±0.25 g·kg-1)＞2003年(5.12±0.16 g·kg-1)＞20世纪80年代(1.96±0.46 g·kg-1),即土壤有机碳含量随围垦时间延长表现为先降低后升高的趋势;土壤有机碳在垂直剖面上均表现为由表向下逐渐降低的趋势.潮滩湿地和围垦湿地的土壤有机碳与pH呈显著负相关,与总氮呈显著正相关,表明在土壤中氮主要以有机氮的形态存在.潮滩湿地有机碳与碳氮比相关性不明显,而围垦湿地具有显著正相关性,说明围垦利用对湿地土壤碳氮比产生了一定影响.研究表明,潮滩湿地土壤固碳能力随着植物群落演替逐步增强,而外来入侵种互花米草的大量入侵和扩散将有可能降低潮滩湿地生态系统土壤的储碳功能.围垦引起的土壤水分、颗粒组成的变化以及耕作、土地利用和利用历史是影响围垦湿地土壤有机碳分布的主要原因.     

不同类型毛竹林土壤活性有机碳

以江西省安福县毛竹纯林、竹阔混交林、竹杉混交林为研究对象,探讨不同类型毛竹林的土壤活性有机碳的变化.结果表明:(1)土壤总有机碳和易氧化态碳含量以毛竹纯林最高,分别为13.1和2.15 g·kg-1;微生物生物量碳和热水浸提有机碳以竹杉混交林最高,分别为123.3和349.0 mg· kg-1.(2)3种类型毛竹林土壤活性有机碳的含量均随土层深度的增加而呈现出先快后慢的下降趋势.(3)土壤总有机碳、微生物生物量碳、热水浸提有机碳和易氧化态碳之间的相关性均达到极显著水平(P＜0.01),后三者在一定程度上表征了土壤中活性较高部分的碳含量.     

辽东山区三种典型林型土壤有机碳及其组分含量

分析森林土壤有机碳及其组分含量特征是研究森林生态系统碳循环的基础。本研究以辽东山区典型的天然次生林(阔叶混交林)、落叶松人工纯林和落叶松-水曲柳人工混交林为对象,通过对其不同土层深度(0~10、10~20和20~30 cm)土壤进行样品采集和分析,研究不同林型土壤有机碳(TOC)及其活性有机碳组分的变化特征。结果表明:3种林型土壤有机碳和活性有机碳均随土层深度的增加逐渐降低;3种林型土壤有机碳和活性有机碳含量均是天然次生林落叶松-水曲柳人工混交林落叶松人工纯林;其中,表层(0~10cm)土壤有机碳含量分别为61.52、49.22和41.16 g·kg~(-1),活性有机碳以颗粒有机碳(POC)含量最多,分别为20.18、15.84和12.92 g·kg~(-1),轻组有机碳(LFOC)和微生物生物量碳(MBC)次之,分别为13.51、10.04、8.24 g·kg~(-1)和9.06、6.13、5.11 g·kg~(-1),易氧化有机碳(EOC)含量最少,仅为3.54、2.78、2.26 g·kg~(-1);统计分析表明,土壤有机碳与LFOC、POC、EOC和MBC均存在极显著正相关关系(P0.01)。     

典型喀斯特山区植被类型对土壤有机碳、氮的影响

选取典型喀斯特山区荒草地、灌丛地、次生林地和原生林地作为研究对象,分别在4个季节对选定区域分层(0~15和15~30 cm)进行土壤采集,探讨不同植被类型下土壤养分的动态变化。结果表明:不同植被类型下,土壤有机碳和全氮含量差异较大,其中原生林2项指标全年平均分别为72.61和7.39 g·kg-1,显著高于次生林(30.33和2.90 g·kg-1)、灌丛地(19.32和2.04 g·kg-1)和荒草坡(17.75和1.83 g·kg-1)。在土壤各理化指标中,土壤有机碳、氮储量与其他指标均有良好相关性,影响研究区土壤理化指标的主要因素是植被因素(74.31%),次要因素是季节因素(14.85%)。不同植被类型土壤有机碳、全氮含量及其储量在各个季节变化趋势大致相同,表现为春秋两季较高,夏冬两季较低。     

互花米草入侵对沿海湿地甲烷排放的影响

采集互花米草不同入侵年限(8、11和15年)的原状土壤,采用盆栽试验,研究了土壤有机碳含量对沿海湿地CH4排放的影响。结果表明,土壤有机碳含量随着互花米草入侵年限的增加而增加。在植物生长季,互花米草入侵15年的土壤有机碳含量为12.97g·kg-1,土壤CH4排放通量为2.94mg·m-2·h-1,显著高于入侵年限为8和11a(有机碳含量为8.11和9·16g·kg-1)的土壤,其土壤CH4排放通量分别为1.95和2.34mg·m-2·h-1。这主要是由于随着土壤有机碳含量提高,不仅为产甲烷菌提供了更多底物,同时也促进了产甲烷菌数量增加,从而导致更多CH4排放。因此,在评价互花米草入侵的综合环境效应时,需要兼顾土壤固碳能力和温室气体排放。     

不同施肥模式下稻田土壤微生物生物量磷对土壤有机碳和磷素变化的响应

通过15年的红壤稻田长期定位试验,研究了不同施肥模式下土壤微生物生物量磷(MB-P)对土壤有机碳和磷素变化的响应.结果表明红壤稻田有机碳源的长期投入和土壤有机碳的逐年升高使土壤微生物生物量碳(MB-C)维持在较高水平(＞800 mg·kg-1),是稻田土壤MB-P(＞16.0 mg·kg-1)提高的主要原因.长期不施磷肥条件下,土壤全磷含量与试验前相比显著降低(P＜0.05),而土壤有机磷含量平均提高了29.3%;土壤亏损的磷形态主要是无机磷(Al-P、Fe-P、Ca-P和O-P),其中Al-P含量处于最低水平(平均0.5 mg·kg-1).另外,长期不施磷肥土壤的MB-P远高于Olsen法提取态磷(Olsen-P)(＜7.0 mg·kg-1),而稻田土壤MB-P与Al-P呈显著相关(P＜0.05),表明土壤微生物对稻田土壤Al-P、Fe-P、Ca-P和O-P的利用是促进其向有效磷方向转化的关键途径.磷肥配合有机养分循环利用不仅提高了土壤磷库的积累,而且通过土壤微生物的活化有效地提高了土壤磷的有效性.     

广东省桉树人工林土壤有机碳密度及其影响因子

研究了广东省粤北、粤东、粤西和珠江三角洲4个地区桉树人工林土壤有机碳含量和有机碳密度,以及土壤有机碳密度的主要影响因子.结果表明:土壤A层和B层有机碳含量分别为(23.94±2.97)g·kg-1和(9.68±1.05)g·kg-1,二者差异显著;A层和B层有机碳密度分别为(27.64±7.72)t·hm-2和(108.36±9.37)t·hm-2,有显著差异;0～50 cm土层有机碳密度为(66.72±6.53)t·hm-2,略高于同一地区马尾松和杉木人工林.有机碳密度与海拔、A层和B层土壤总孔隙度、毛管孔隙度、毛管持水量和全氮含量呈显著正相关;土壤毛管孔隙度、毛管持水量和pH值是影响有机碳密度的主导因子.     

黄河三角洲刺槐白蜡混交对土壤细菌群落结构及多样性的影响

为探讨黄河三角洲刺槐白蜡混交对土壤细菌群落结构及多样性的影响,通过高通量测序技术分析比较了刺槐白蜡混交林及刺槐纯林、白蜡纯林土壤细菌群落结构及多样性。结果表明:(1)混交林与两种纯林土壤细菌群落共36门。酸杆菌门、变形菌门、放线菌门(相对丰度大于10%)为刺槐白蜡混交林与两种纯林土壤中共有的优势菌群;硝化螺旋菌门为刺槐纯林土壤中的优势菌群。不同人工林土壤中各门细菌相对丰度差异显著。(2)混交改变了土壤细菌群落结构,提高了细菌多样性。刺槐白蜡混交林土壤细菌物种数、Chao1指数、Shannon指数分别为1934.5、2629.1、9.1,显著高于两种纯林。(3)相关性分析表明,土壤含水量与放线菌门细菌呈显著正相关;pH与芽单胞菌门细菌呈极显著正相关,与酸杆菌门细菌呈显著负相关。细菌多样性与土壤含水量呈显著正相关,与速效钾、有机质含量呈显著负相关。研究表明,刺槐白蜡混交林土壤细菌群落结构与两种纯林之间有一定差异,多样性差异显著,刺槐白蜡混交改变细菌群落结构,提高细菌多样性。     

植物、土壤及土壤管理对土壤微生物群落结构的影响

土壤微生物是土壤生态系统的重要组成部分,对土壤微生物群落结构多样性的研究是近年来土壤生态学研究的热点。本文综述了有关植物、土壤类型以及土壤管理措施对土壤微生物群落结构影响的最新研究结果,指出植物的作用因植物群落结构多样性、植物种类、同种植物不同的基因型,甚至同一植物不同根的区域而异;而土壤的作用与土壤质地和有机质含量等因素有关;植物和土壤类型在对土壤微生物群落结构影响上的作用存在互作关系。不同的土壤管理措施对土壤微生物群落结构影响较大,长期连作、大量的外援化学物质的应用降低了土壤微生物的多样性;而施用有机肥、免耕可以增加土壤微生物群落结构多样性,有利于维持土壤生态系统的功能。     

Estimating respiration of roots in soil: Interactions with soil CO2, soil temperature and soil water content

Little information is available on the variability of the dynamics of the actual and observed root respiration rate in relation to abiotic factors. In this study, we describe I) interactions between soil CO₂ concentration, temperature, soil water content and root respiration, and II) the effect of short-term fluctuations of these three environmental factors on the relation between actual and observed root respiration rates. We designed an automated, open, gas-exchange system that allows continuous measurements on 12 chambers with intact roots in soil. By using three distinct chamber designs with each a different path for the air flow, we were able to measure root respiration over a 50-fold range of soil CO₂ concentrations (400 to 25000 ppm) and to separate the effect of irrigation on observed vs. actual root respiration rate. All respiration measurements were made on one-year-old citrus seedlings in sterilized sandy soil with minimal organic material.Root respiration was strongly affected by diurnal fluctuations in temperature (Q₁₀ = 2), which agrees well with the literature. In contrast to earlier findings for Douglas-fir (Qi et al., 1994), root respiration rates of citrus were not affected by soil CO₂ concentrations (400 to 25000 ppm CO₂; pH around 6). Soil CO₂ was strongly affected by soil water content but not by respiration measurements, unless the air flow for root respiration measurements was directed through the soil. The latter method of measuring root respiration reduced soil CO₂ concentration to that of incoming air. Irrigation caused a temporary reduction in CO₂ diffusion, decreasing the observed respiration rates obtained by techniques that depended on diffusion. This apparent drop in respiration rate did not occur if the air flow was directed through the soil. Our dynamic data are used to indicate the optimal method of measuring root respiration in soil, in relation to the objectives and limitations of the experimental conditions.     

Available soil nitrogen in relation to fractions of soil nitrogen and other soil properties

The available N of 27 soils from England and Wales was assessed from the amounts of N taken up over a 6-month period by perennial ryegrass grown in pots under uniform environmental conditions. Relationships between availability and the distribution of soil N amongst various fractions were then examined using multiple regression. The relationship: available soil N (mg kg^–1 dry soil)=(N_min×0.672)+(N_inc×0.840)+(N_mom×0.227)–5.12 was found to account for 91% of the variance in available soil N, where N_min=mineral N, N_inc=N mineralized on incubation and N_mom=N in macro-organic matter. The N mineralized on incubation appeared to be derived largely from sources other than the macro-organic matter because these two fractions were poorly correlated. When availability was expressed in terms of available organic N as % of soil organic N (N_ao) the closest relationship with other soil characteristics was: N_ao=[N_inc×(1.395–0.0347×CN_mom]+[N_mom×0.1416], where CN_mom=CN ratio of the macro-organic matter. This relationship accounted for 81% of the variance in the availability of the soil organic N.The conclusion that the macro-organic matter may contribute substantially to the available N was confirmed by a subsidiary experiment in which the macro-organic fraction was separated from about 20 kg of a grassland soil. The uptake of N by ryegrass was then assessed on two subsamples of this soil, one without the macro-organic matter and the other with this fraction returned: uptake was appreciably increased by the macro-organic matter.     

Linking soil bacterial biodiversity and soil carbon stability

Native soil carbon (C) can be lost in response to fresh C inputs, a phenomenon observed for decades yet still not understood. Using dual-stable isotope probing, we show that changes in the diversity and composition of two functional bacterial groups occur with this ‘priming'' effect. A single-substrate pulse suppressed native soil C loss and reduced bacterial diversity, whereas repeated substrate pulses stimulated native soil C loss and increased diversity. Increased diversity after repeated C amendments contrasts with resource competition theory, and may be explained by increased predation as evidenced by a decrease in bacterial 16S rRNA gene copies. Our results suggest that biodiversity and composition of the soil microbial community change in concert with its functioning, with consequences for native soil C stability.Substrate inputs can stimulate decomposition of native soil organic carbon (SOC; Kuzyakov et al., 2000), a phenomenon known as the ‘priming effect'' (Kuzyakov, 2010), and is considered large enough to influence ecosystem C balance (Wieder et al., 2013). Two functionally distinct groups of microorganisms are postulated to mediate priming: one that grows rapidly utilizing labile C, and one that grows slowly, breaking down recalcitrant SOC (Fontaine et al., 2003; Blagodatskaya et al., 2007). However, distinguishing these groups is technically challenging. Here, we used dual-stable isotope probing with ¹³C-glucose and ¹⁸O-water to identify bacteria in these two groups growing in response to single and repeated pulses of glucose. Organisms that utilize labile C for growth assimilate both ¹³C-glucose and ¹⁸O-water into their DNA, whereas organisms that grow using SOC incorporate only ¹⁸O-water. Differential isotope incorporation leads to a range of DNA densities separable through isopycnic centrifugation, which can then be characterized by sequencing (Radajewski et al., 2000).We sequenced fragments of bacterial 16S rRNA genes following single and repeated glucose pulses. We hypothesized that the single pulse of labile C would stimulate growth of opportunistic organisms, thus immobilizing nutrients and suppressing growth and diversity of the SOC-utilizing community, decreasing SOC decomposition (negative priming), a response analogous to that observed in plant communities in response to chronic N additions (Tilman, 1987; Clark and Tilman, 2008). We hypothesized that multiple glucose additions would stimulate growth of a more diverse bacterial community, including more native SOC-utilizing organisms that possess enzymes to decompose recalcitrant compounds, causing positive priming (Fontaine et al., 2003; Kuzyakov, 2010).Soil from a ponderosa pine ecosystem was amended weekly for 7 weeks with 500 μg C-glucose per gram soil (2.65 atom % ¹³C) in 100 μl deionized water or with 100 μl deionized water (n=5). Measurements of δ¹³C–CO₂ and [CO₂] enabled the partitioning of CO₂ into that derived from added glucose or from native SOC (C_SOC):where C_total is CO₂–C from glucose-amended samples, δ_total is the δ¹³C–CO₂ from glucose-amended samples, δ_glucose is the δ¹³C of the added glucose and δ_SOC is the δ¹³C–CO₂ evolved from the non-amended samples. Priming was calculated as the difference between SOC oxidation of the amended and non-amended samples. With this approach, any evolved CO₂ carrying the ¹³C signature of the added glucose is considered respiration of glucose, including ¹³C-labeled biomass and metabolites derived from prior glucose additions. Thus, this approach quantifies priming as the oxidation of SOC present at the beginning of the experiment, consistent with many other studies of priming (Cheng et al., 2003; De Graaff et al., 2010).In a parallel incubation for dual-stable isotope probing, the repeated-pulse samples received unlabeled glucose (500 μg C-glucose per gram soil) for 6 weeks while the non-amended and single-pulse samples received sterile deionized water. In week 7, samples received one of four isotope treatments (n=3): 97 atom % H₂ ¹⁸O (non-amended soil), 99 atom % ¹³C-glucose and 97 atom % H₂ ¹⁸O (single- and repeated-pulse soil), ¹²C-glucose and 97 atom % H₂ ¹⁸O (repeated-pulse soil) or ¹²C-glucose and H₂ ¹⁶O (repeated-pulse soil). After incubating for 7 days, soil was frozen at −40 °C. DNA was extracted, separated through isopycnic centrifugation, and two density ranges were sequenced for the bacterial 16S rRNA gene (Supplementary Figure 1): 1.731–1.746 g ml⁻¹ (hereafter called the SOC-utilizing community) and 1.759–1.774 g ml⁻¹ (hereafter called the glucose-utilizing community).Amplicons of the V3–V6 16S rRNA region were bar coded with broad-coverage fusion PCR primers and pooled before sequencing on a Genome Sequencer FLX instrument. These sequence data have been submitted to the GenBank database under accession number SRP043371. Data were checked for chimeras (Edgar et al., 2011), demultiplexed and quality checked (Caporaso et al., 2010). Taxonomy was assigned to genus at the ⩾80% bootstrap confidence level (Cole et al., 2009).We used the Shannon''s diversity index (H′), commonly used in microbial systems (Fierer and Jackson, 2006), to assess changes in microbial diversity. Analysis of variance was used to compare the amount of DNA within densities between isotope treatments (Supplementary Figure 2) and to test the effects of the treatments on the Shannon''s diversity (Figure 2) and Pielou''s evenness (Supplementary Figure 3) of the active bacterial communities, with post hoc Student''s t-tests, α=0.05. PRIMER 6 and PERMANOVA were used to create the nonmetric multidimensional scaling ordination and to compare bacterial communities between glucose treatments and the two sequenced density ranges.The single pulse of glucose suppressed SOC oxidation, whereas repeated pulses increased SOC oxidation (Figure 1). Few experiments to date have examined priming in response to repeated substrate amendments (Hamer and Marschner, 2005; Qiao et al., 2014), even though in nature soil receives repeated substrate pulses from litterfall and rhizodeposition. Our results demonstrate the dynamic response of SOC decomposition to repeated labile C inputs.Open in a separate windowFigure 1Weekly priming rates calculated as the difference in SOC respired between glucose-amended and non-amended soil (n=5).Dual-stable isotope probing was able to separate the growing bacteria into two groups with distinct DNA densities (P<0.001, PERMANOVA; Figure 3a), indicating differential uptake of ¹³C-glucose and ¹⁸O-water. In response to the initial glucose addition, the diversity of the growing glucose- and SOC-utilizing bacterial communities declined compared with the non-amended community (P<0.001, t-tests; Figure 2), driven by a strong decrease in evenness (Supplementary Figure 3). In the SOC-utilizing community, where DNA was labeled with ¹⁸O only, the relative abundance of Bacillus increased 4.9-fold compared with the non-amended control to constitute 31.6% of the community (Figure 3b). Bacillus survives well under low-nutrient conditions (Panikov, 1995), and is able to synthesize a suite of extracellular enzymes capable of degrading complex substrates (Priest, 1977), traits that are conducive for using SOC for growth. In the glucose-utilizing community, where DNA was labeled with both ¹³C and ¹⁸O, Arthrobacter increased 67.7-fold relative to the non-amended control to constitute 75.5% of the growing bacteria (Figure 3b). In culture experiments, Arthrobacter can rapidly take up and store glucose for later use (Panikov, 1995) and here we find it dominating the high-density DNA fractions, signifying that it is using the labeled glucose to grow. The increased biomass of Arthrobacter may have resulted in greater resource competition, thus reducing the diversity of the growing community, as is frequently found in plant communities (Bakelaar and Odum, 1978; Clark and Tilman, 2008).Open in a separate windowFigure 2Shannon''s diversity index (H′) of the non-amended, single-pulse, and repeated-pulse treatments (n=3) in the SOC- (mid-density) and glucose-utilizing (high-density) communities. Treatments with the same letter are not significantly different from each other (Student''s t, α=0.05).Open in a separate windowFigure 3(a) Nonmetric multidimensional scaling ordination showing differences in growing bacterial communities at the genus taxonomic level in the SOC-utilizing (mid-density; open symbols) and glucose-utilizing (high-density; closed symbols) groups of non-amended (Δ), single-pulse (○) and repeated-pulse (□) treatments (n=3). (b) Pie charts of genera in the SOC- and glucose-utilizing communities of the single- and repeated-pulse treatments (n=3). Genera with relative abundances >5% are listed in the figure legend.After repeated glucose amendments, the diversity of the growing community recovered to non-amendment levels (Figure 2) without strongly dominant organisms (Figure 3b and Supplementary Figure 3). The higher diversity found after repeated glucose pulses may be explained by trophic interactions where predators graze on prey populations that have been enlarged by resource addition, suppressing competition between prey species and causing secondary mobilization of nutrients (Clarholm, 1985). The decrease in total bacterial 16S rRNA gene copies in the repeated-pulse—compared with the single-pulse—treatment (Supplementary Figure 4) supports predation as a potential mechanism explaining the observed diversity increase after repeated glucose pulses.The recovery of diversity after repeated glucose pulses contrasts with resource competition theory (Tilman, 1987). When chronic additions of a limiting resource are applied, species diversity and evenness typically decrease (Bakelaar and Odum, 1978; Clark and Tilman, 2008) because competitive organisms become dominant. We observed this after the single glucose pulse, but not after repeated pulses. This diversity response may be the result of community shifts facilitated by short bacterial life cycles and the tens to hundreds of generations expected during the 7-week incubation (Behera and Wagner, 1974). In contrast, systems on which most ecological theory is based (for example, plants) might achieve perhaps 20 generations in a multi-decadal field experiment (Bakelaar and Odum, 1978; Clark and Tilman, 2008). With more generations, more community dynamics can occur, including increased resource cascades in which extracellular enzymes, metabolites or lysed cells of one functional group increase substrates for another (Blagodatskaya and Kuzyakov, 2008). Our results highlight the opportunity to test ecological theories in microbial ecosystems (Prosser et al., 2007), particularly as the short life cycles of microbes makes them well suited for pursuing ecological questions in an evolutionary framework (Jessup et al., 2004).The priming effect is ubiquitous, yet its drivers remain elusive. Our results suggest that changes in the diversity and composition of the growing bacterial community contribute to priming, and thus that ecosystem properties such as soil C storage may be sensitive to soil microbial biodiversity.     

生物质炭对水稻土团聚体微生物多样性的影响

生物质炭施用对土壤微生物群落结构的影响已有报道,但土壤团聚体粒组中微生物群落对生物质炭施用的响应的研究还相对不足。以施用玉米秸秆生物质炭两年后的水稻土为对象,采用团聚体湿筛法,通过高通量测序对土壤团聚体的微生物群落结构与多样性进行分析,结果表明:(1)与对照相比,生物质炭施用显著促进了大团聚体(2000—250μm)的形成,并提高了团聚体的稳定性。(2)不同粒径团聚体间微生物相对丰度存在显著差异。在未施生物质炭的处理(C0)中,随着团聚体粒径增大,变形菌门、子囊菌门、β-变形杆菌目、格孢腔菌目的相对丰度逐渐降低,而酸杆菌门、担子菌门、粘球菌目、类球囊霉目的相对丰度逐渐升高。(3)生物质炭施用显著改变了团聚体间的微生物群落结构。与C0处理相比,生物质炭施用处理的大团聚体中变形菌门、鞭毛菌门和β-变形杆菌目的相对丰度分别显著提高了14.37%、33.28%和33.82%;微团聚体(250—53μm)中酸杆菌门、子囊菌门和粘球菌目的相对丰度分别显著降低了20.15%、19.93%和17.66%;粉、黏粒组分(53μm)中担子菌门的相对丰度升高90.25%,而子囊菌门和鞭毛菌门的相对丰度分别降低12.15%和12.58%。由此可见,生物质炭不仅改变土壤团聚体组成和分布,同时伴随着土壤微生物群落结构的改变。     

The porosity of soil aggregates from bulk soil and from soil adhering to roots

Summary Total porosity and pore-size distribution (p.s.d.) were determined in soil aggregates taken in plots planted with maize and treated with farmyard manure and three rates of compost. Soil aggregates were collected from the soil adherent to the maize roots (root soil aggregates) and from bulk soil (bulk soil aggregates). Mercury intrusion porosimetry was used to evaluate the total porosity and the p.s.d. Treatments did not affect the total porosity of the bulk soil aggregates. The same was observed for the root soil aggregates. However the total porosity of the root soil aggregates was always lower than that of the bulk soil aggregates. The loss of total porosity was found to be due to a decrease in the percentage of larger pores with respect to the total.     

酸性硫酸盐土水改旱后土壤化学性状的变异初报

探讨了酸性硫酸盐水稻土改为旱作后土壤化学性状的变异以及比较不同利用方式之间的经济效益．结果表明,酸性硫酸盐水稻土改种甜玉米和蔬菜后,土壤化学性状发生显著变化．耕层土壤酸度、水溶性硫酸根含量、土壤活性铝和活性铁含量均显著降低．经济效益得到显著提高．建议对水改旱后的环境效应进行深入研究以及进行定位观测,以便合理利用这一特殊的土壤资源     

耕作方式对潮土土壤团聚体微生物群落结构的影响

为探究不同耕作方式对潮土土壤团聚体微生物群落结构和多样性的影响,采用磷脂脂肪酸(PLFA)法测定了土壤团聚体中微生物群落。试验设置4个耕作处理,分别为旋耕+秸秆还田(RT)、深耕+秸秆还田(DP)、深松+秸秆还田(SS)和免耕+秸秆还田(NT)。结果表明:与RT相比,DP处理显著提高了原状土壤和>5 mm粒级土壤团聚体中真菌PLFAs量和真菌/细菌,为真菌的繁殖提供了有利条件,有助于土壤有机质的贮存,提高了土壤生态系统的缓冲能力;提高了5～2 mm粒级土壤团聚体中细菌PLFAs量,降低了土壤革兰氏阳性菌/革兰氏阴性菌,改善了土壤营养状况;提高了<0.25 mm粒级土壤团聚体中微生物丰富度指数。总的来说,深耕+秸秆还田(DP)对土壤团聚体细菌和真菌生物量有一定的提高作用,并且在一定程度上改善了土壤团聚体微生物群落结构,有利于增加土壤固碳能力和保持土壤微生物多样性。冗余分析结果表明,土壤团聚体总PLFAs量、细菌、革兰氏阴性菌和放线菌PLFAs量与土壤有机碳相关性较强,革兰氏阳性菌PLFAs量与总氮相关性较强。各处理较大粒级土壤团聚体微生物群落主要受碳氮比、含水量、pH值和团聚体质量分数的影响,较小粒级土壤团聚体微生物群落则主要受土壤有机碳和总氮的影响。     

Carbon input to soil may decrease soil carbon content

It is commonly predicted that the intensity of primary production and soil carbon (C) content are positively linked. Paradoxically, many long‐term field observations show that although plant litter is incorporated to soil in large quantities, soil C content does not necessarily increase. These results suggest that a negative relationship between C input and soil C conservation exists. Here, we demonstrate in controlled conditions that the supply of fresh C may accelerate the decomposition of soil C and induce a negative C balance. We show that soil C losses increase when soil microbes are nutrient limited. Results highlight the need for a better understanding of microbial mechanisms involved in the complex relationship between C input and soil C sequestration. We conclude that energy available to soil microbes and microbial competition are important determinants of soil C decomposition.