Country-scale carbon accounting of the vegetation and mineral soils of Finland

The increase in global temperature has been attributed to increased atmospheric concentrations of greenhouse gases (GHG), mainly that of CO2. The threat of severe and complex socio-economic and ecological implications of climate change have initiated an international process that aims to reduce emissions, to increase C sinks, and to protect existing C reservoirs. The famous Kyoto protocol is an offspring of this process. The Kyoto protocol and its accords state that signatory countries need to monitor their forest C pools, and to follow the guidelines set by the IPCC in the preparation, reporting and quality assessment of the C pool change estimates. The aims of this thesis were i) to estimate the changes in carbon stocks vegetation and soil in the forests in Finnish forests from 1922 to 2004, ii) to evaluate the applied methodology by using empirical data, iii) to assess the reliability of the estimates by means of uncertainty analysis, iv) to assess the effect of forest C sinks on the reliability of the entire national GHG inventory, and finally, v) to present an application of model-based stratification to a large-scale sampling design of soil C stock changes. The applied methodology builds on the forest inventory measured data (or modelled stand data), and uses statistical modelling to predict biomasses and litter productions, as well as a dynamic soil C model to predict the decomposition of litter. The mean vegetation C sink of Finnish forests from 1922 to 2004 was 3.3 Tg C a-1, and in soil was 0.7 Tg C a-1. Soil is slowly accumulating C as a consequence of increased growing stock and unsaturated soil C stocks in relation to current detritus input to soil that is higher than in the beginning of the period. Annual estimates of vegetation and soil C stock changes fluctuated considerably during the period, were frequently opposite (e.g. vegetation was a sink but soil was a source). The inclusion of vegetation sinks into the national GHG inventory of 2003 increased its uncertainty from between -4% and 9% to ± 19% (95% CI), and further inclusion of upland mineral soils increased it to ± 24%. The uncertainties of annual sinks can be reduced most efficiently by concentrating on the quality of the model input data. Despite the decreased precision of the national GHG inventory, the inclusion of uncertain sinks improves its accuracy due to the larger sectoral coverage of the inventory. If the national soil sink estimates were prepared by repeated soil sampling of model-stratified sample plots, the uncertainties would be accounted for in the stratum formation and sample allocation. Otherwise, the increases of sampling efficiency by stratification remain smaller. The highly variable and frequently opposite annual changes in ecosystem C pools imply the importance of full ecosystem C accounting. If forest C sink estimates will be used in practice average sink estimates seem a more reasonable basis than the annual estimates. This is due to the fact that annual forest sinks vary considerably and annual estimates are uncertain, and they have severe consequences for the reliability of the total national GHG balance. The estimation of average sinks should still be based on annual or even more frequent data due to the non-linear decomposition process that is influenced by the annual climate. The methodology used in this study to predict forest C sinks can be transferred to other countries with some modifications. The ultimate verification of sink estimates should be based on comparison to empirical data, in which case the model-based stratification presented in this study can serve to improve the efficiency of the sampling design.

Retrieving clay minerals from stabilised soil compacts

Stabilised soil products such as stabilised soil blocks, rammed earth and stabilised adobe are being used for building construction since the last 6-7 decades. Major advantages of stabilised soil products include low embodied carbon, use of local materials, decentralized production, and easy to adjust the strength, texture, size and shape. Portland cement and lime represent the most commonly used stabilisers for stabilised soil products. The mechanism of strength development in cement and lime stabilised soils is distinctly different. The paper presents results of scientific investigations pertaining to the status of clay minerals in the 28 day cured cement and lime stabilised soil compacts. XRD, SEM imaging, grain size distribution and Atterberg's limits of the ground stabilised soil products and the natural soil were determined. Results reveal that clay minerals can be retrieved from cement stabilised soil products, whereas in lime stabilised soil products clay minerals get consumed in the lime-clay reactions and negligible percentage of clay minerals are left in the stabilised soil compacts. The results of the present investigation clearly demonstrate that cement stabilisation is superior to lime stabilisation in retrieving the clay minerals from the stabilised soil compacts. (C) 2014 Elsevier B.V. All rights reserved.

开垦和放牧对内蒙古草原土壤碳库和温室气体通量的影响

本文采用野外观测和室内测定相结合的方法，研究了内蒙古草原两种主要的土地利用方式（开垦和放牧）对土壤碳库和温室气体通量的影响，结果如下： 1．内蒙古草甸草原开垦后30年后，与天然草原相比，在休闲年份0～20 cm土壤有机碳和土壤微生物量碳含量均没有显著下降，但开垦导致土壤易分解碳下降了24%。土壤易氧化碳受季节性水热因子的驱动，表现出明显的季节变化动态。因此，土壤易分解碳的较土壤碳库的其他组分对开垦更敏感，是表征土壤管理措施引起有机质变化的一个重要指标。 草原开垦后，土壤-植物系统氧化大气甲烷的能力明显提高，农田和天然草原CH4平均吸收通量分别是48.9 和 29.0 μg C m-2 h-1，开垦后增加了1.7倍。开垦没有改变CH4吸收通量 “夏季高秋季低” 的季节变化规律（由降水决定）;开垦使N2O的平均释放通量增加了47%，农田和天然草原N2O平均吸收通量分别是56.6 和 38.6 ugN m-2 h-1;开垦同时也增大了通量的变异幅度;但没有改变N2O季节变化规律，只是出现高峰的时间较天然草原推后约10天左右。 2．开垦后的农田土壤在模拟添加厩肥后，刺激了土壤微生物的呼吸代谢，使CO2的释放量增加了5-7倍。试验期间总体排放的CO2中，约60%来源于羊粪，40% 来源于土壤。两种土壤即羊草顶级草原土壤（高碳高氮）和冷蒿－小禾草退化草原土壤（低碳低氮），在CO2的释放总量和释放比例上都没有显著性差异。添加厩肥均造成两种土壤碳库的净碳损失，并且退化草原土壤（7.0%）的土壤净碳损失要大于羊草草原（2.6%）。说明与开垦后的高C土壤相比，在已经退化草原的低C土壤上施厩肥将趋向于土壤更大的净碳损失。 3．自由放牧22年后，羊草草原0～10 cm土壤有机碳、微生物量碳和易分解碳分别下降了14.1%、27.9%和22.0%;大针茅草原0～5 cm土壤有机碳和微生物量碳分别下降了27.6%和38.2%。两类草原土壤碳组分的季节变化受水热因子的驱动，大针茅草原季节波动出现高峰的时间较羊草草原迟。土壤微生物量碳在表征羊草草原和大针茅草原土壤碳素的动态变化时，要敏感于土壤总有机碳。放牧对冷蒿-小禾草草原土壤各碳素组分影响不明显。在表征放牧对冷蒿-小禾草草原土壤的影响指示上，MB-C/ Org-C和Lab-C/ Org-C要比MB-C和Lab-C更加敏感。这说明在研究放牧对草原土壤碳库影响时，不同的草原类型应使用不同的指标来表征其变化。 内蒙古羊草草原是大气CH4的汇，自由放牧增加土壤对CH4的吸收。CH4平均吸收通量增加了27%，但CH4吸收的季节变化形式没有改变;放牧使。自由放牧还增大了N2O的排放通量，将原来N2O源、汇的双重功能改变为单一的源功能;放牧使N2O平均释放通量增加了1倍;放牧显著增加了羊草草原向大气排放CO2的量（p<0.05），并且年度排放量范围也有所增大。 4．草原羊尿斑土壤的pH和NH4+浓度在施后显著升高，但土壤微生物C和N没有明显变化，尿斑N素会发生大量的流失。粪斑和厩肥斑中各有46%和27%的N素分解后转移到植物中。羊草种群斑块上粪尿斑引起CO2和N2O通量的变化，要大于星毛委陵菜种群斑块。与植被类型的影响相比，羊粪尿斑尤其是尿斑对温室气体通量的影响更大。尿斑既降低了土壤对CH4的吸收，又增加了CO2和N2O的释放，使粪尿斑上相当于CO2的净排放量比对照土壤增加了15%。 在内蒙古草原中等放牧条件下，家畜粪尿斑在放牧草地上的覆盖面积约只有2%，与未被家畜排泄物覆盖的草原土壤 相比，粪尿斑对内蒙古草原温室气体总体收支产生的影响可以忽略不计。因此内蒙古草原地区温室气体减排措施的重点，应放在家畜的食性食量对温室气体的影响以及厩肥的科学利用上。但随放牧强度的加大，家畜排泄物覆盖草地的面积将大大增加，加之放牧生态系统中家畜瘤胃代谢产生的的大量温室气体，其对草原温室气体的核算将会产生的影响也是不容忽视的。

黄土旱塬区冬小麦不同施肥处理的土壤呼吸及土壤碳动态

依据黄土旱塬区黑垆土上中国科学院长武站长期定位试验(始于1984年),于2008年3月到6月,测定了冬小麦连作系统中返青期、拔节期、抽穗期、灌浆期和收获期土壤呼吸日变化、生育期变化以及土壤可溶性有机碳(Dissolved organic C,DOC)和微生物量碳(Soil microbial biomass C,MBC),研究了施肥措施对土壤呼吸、DOC和MBC的影响以及土壤呼吸与碳组分之间的关系。研究涉及6个处理:休闲地(F)、不施肥(CK)、有机肥(M)、氮肥(N)、氮磷肥(NP)和氮磷有机肥(NPM)。结果表明,冬小麦连作系统中土壤呼吸的日变化格局呈单峰曲线,最高值出现在12:00左右(拔节期)和14:30左右(成熟期),最小值出现在0:00～3:00之间或6:00左右;冬小麦土壤呼吸速率拔节期最高,其次是灌浆后期,抽穗期最低;不同施肥条件下,各生育期土壤呼吸速率大小顺序:NPM>M>NP>N>CK>F。土壤水分亏缺是导致抽穗期和灌浆期土壤呼吸速率降低的重要原因。各施肥处理DOC含量高低顺序为灌浆期>抽穗期>成熟期>返青期>拔节期;除M,NPM处理MBC含量拔节期>灌浆期外,各施肥处理MBC含量高低顺序...

松辽平原农田土壤碳氮磷分布特征研究

本文对东北地区松辽平原不同纬度农田土壤碳氮磷剖面分布特征进行比较研究，从北到南依次采集了黑土区的海伦、哈尔滨、德惠、公主岭和棕壤区的昌图、沈阳、大石桥玉米地土壤样品。所得主要结论如下： 各样点土壤有机碳含量随土层深度的增加而下降。海伦、哈尔滨和公主岭样点40～60cm土层土壤有机碳含量及其储量显著低于0～40cm土层；海伦、哈尔滨、德惠、公主岭和昌图样点土壤水溶性有机碳表现出随深度增加先升高后降低，在沈阳和大石桥样点土壤水溶性有机碳表现出随深度而下降的趋势；各样点0～20cm土层土壤微生物量碳含量高于20～40cm土层。典型黑土区海伦点0～100cm的SOC储量为213.4t•hm-2, 棕壤区昌图、沈阳、大石桥样点分别为69.9、87.9和73.4t•hm-2，海伦点SOC储量是棕壤区三样点的3倍左右。 土壤全氮、碱解氮、硝态氮及氮储量随剖面深度增加而下降。德惠点在20～40cm土层、沈阳点在40～60cm土层、昌图点在60～80cm土层的全磷含量最低；其他样点土壤全磷、有机磷含量和磷储量总体上呈现随土层深度增加而下降的趋势。黑土区样点土壤有机磷含量在40cm以下各土层迅速下降，而棕壤区各样点20cm以下各土层差异不显著。除公主岭和大石桥点外, 其他各样点土壤Olsen-P含量在0～20cm 土层显著高于20～40cm土层。 土壤有机碳、全氮、碱解氮、全磷和有机磷含量随纬度增加而增加。营养元素在纬度上的分异主要受成土母质、气候条件等自然因素影响，施肥、耕作等人为活动对表层土壤营养元素分布的影响较大。除土壤水溶性有机碳外，土壤碳、氮和磷之间及其与其他基本理化性质间均存在显著的相关关系。

Prediction of soil organic carbon partition coefficients by soil column liquid chromatography

To avoid the limitation of the widely used prediction methods of soil organic carbon partition coefficients (K-OC) from hydrophobic parameters, e.g., the n-octanol/water partition coefficients (K-OW) and the reversed phase high performance liquid chromatographic (RP-HPLC) retention factors, the soil column liquid chromatographic (SCLC) method was developed for K-OC prediction. The real soils were used as the packing materials of RP-HPLC columns, and the correlations between the retention factors of organic compounds on soil columns (k(soil)) and K-OC measured by batch equilibrium method were studied. Good correlations were achieved between k(soil) and K-OC for three types of soils with different properties. All the square of the correlation coefficients (R-2) of the linear regression between log k(soi) and log K-OC were higher than 0.89 with standard deviations of less than 0.21. In addition, the prediction of K-OC from K-OW and the RP-HPLC retention factors on cyanopropyl (CN) stationary phase (k(CN)) was comparatively evaluated for the three types of soils. The results show that the prediction of K-OC from k(CN) and K-OW is only applicable to some specific types of soils. The results obtained in the present study proved that the SCLC method is appropriate for the K-OC prediction for different types of soils, however the applicability of using hydrophobic parameters to predict K-OC largely depends on the properties of soil concerned. (C) 2004 Elsevier B.V. All rights reserved.

开垦草地对土壤有机碳库构成与来源的效应

以广西西北部喀斯特地区的开垦草地生态系为对象,研究了草地开垦变为不同农田后对土壤有机碳库的效应。结果表明,草地开垦为农田后,土壤可溶性有机碳、微生物生物量碳及总有机碳的含量显著下降。自然草地开垦后,柑桔地土壤有机碳含量高于农作用地土壤。玉米与甘蔗轮作土壤有机碳含量高于甘蔗连作。13C示踪结果表明,柑桔地土壤有机碳中来源于草地的含量高于农田土壤;农田土壤有机碳中来源于草地的随种植年限的增加而降低。在玉米与甘蔗轮作的农田中,土壤有机碳中来源于玉米的高于甘蔗连作土壤有机碳中来源于甘蔗的。

Effects of afforestation on soil carbon turnover in China's subtropical region

Afforestation in China's subtropics plays an important role in sequestering CO2 from the atmosphere and in storage of soil carbon (C). Compared with natural forests, plantation forests have lower soil organic carbon (SOC) content and great potential to store more C. To better evaluate the effects of afforestation on soil C turnover, we investigated SOC and its stable C isotope (delta C-13) composition in three planted forests at Qianyanzhou Ecological Experimental Station in southern China. Litter and soil samples were collected and analyzed for total organic C, delta C-13 and total nitrogen. Similarly to the vertical distribution of SOC in natural forests, SOC concentrations decrease exponentially with depth. The land cover type (grassland) before plantation had a significant influence on the vertical distribution of SOC. The SOC delta C-13 composition of the upper soil layer of two plantation forests has been mainly affected by the grass biomass C-13 composition. Soil profiles with a change in photosynthetic pathway had a more complex C-13 isotope composition distribution. During the 20 years after plantation establishment, the soil organic matter sources influenced both the delta C-13 distribution with depth, and C replacement. The upper soil layer SOC turnover in masson pine (a mean 34% of replacement in the 10 cm after 20 years) was more than twice as fast as that of slash pine (16% of replacement) under subtropical conditions. The results demonstrate that masson pine and slash pine plantations cannot rapidly sequester SOC into long-term storage pools in subtropical China.

Soil Carbon stocks and schanges in the Republic of Ireland

The soil carbon (C) stock of the Republic of Ireland is estimated to have been 2048 Mt in 1990 and 2021 Mt in 2000. Peat holds around 53% of the soil C stock, but on 17% of the land area. The C density of soils (t C ha-1) is mapped at 2 km*2 km resolution. The greatest soil C densities occur where deep raised bogs are the dominant soil; in these grid squares C density can reach 3000 t C ha-1. Most of the loss of soil C between 1990 and 2000-up to 23 Mt C (1% of 1990 soil C stock)-was through industrial peat extraction. The average annual change in soil C stocks from 1990 to 2000 due to land use change was estimated at around 0.02% of the 1990 stock. Considering uncertainties in the data used to calculate soil C stocks and changes, the small average annual 'loss' could be regarded as 'no change'.

CO2 uptake by a soil microcosm

Sequestration of CO2 via biological sinks is a matter of great scientific importance due to the potential lowering of atmospheric CO2. In this study, a custom built incubation chamber was used to cultivate a soil microbial community to instigate chemoautotrophy of a temperate soil. Real-time atmospheric CO2 concentrations were monitored and estimations of total CO2 uptake were made. After careful background flux corrections, 4.52 +/- 0.05 g CO2 kg I dry soil was sequestered from the chamber atmosphere over 40 h. Using isotopically labelled (CO2)-C-13 and GCMS-IRMS, labelled fatty acids were identified after only a short incubation, hence confirming CO2 sequestration for soil. The results of this in vivo study provide the ground work for future studies intending to mimic the in situ environment by providing a reliable method for investigating CO2 uptake by soil microorganisms.(C) 2012 Elsevier Ltd. All rights reserved.

Arbuscular mycorrhizal fungi and collembola non-additively increase soil aggregation

Soil aggregation is a principal ecosystem process mediated by soil biota. Collembola and arbuscular mycorrhizal (AM) fungi are important groups in the soil, and can interact in various ways. Few studies have examined collembola effects on soil aggregation, while many have quantified AM effects. Here, we asked if collembola have any effect on soil aggregation, and if they alter AM fungi-mediated effects on soil aggregation.

We carried out a factorial greenhouse study, manipulating the presence of both collembola and AM fungi, using two different plant species, Sorghum vulgare and Daucus carota. We measured root length and biomass, AMF (and non-AMF) soil hyphal length, root colonization, and collembolan populations, and quantified water stable soil aggregates (WSA) in four size classes.

Soil exposed to growth of AMF hyphae and collembola individually had higher WSA than control treatments. Moreover, the interaction effects between AMF and collembola were significant, with nonadditive increases in the combined application compared to the single treatments.

Our findings show that collembola can play a crucial role in maintaining ecological sustainability through promoting soil aggregation, and point to the importance of considering organism interactions in understanding formation of soil structure. (C) 2011 Elsevier Ltd. All rights reserved.

Micro-arthropod communities under human disturbance: is taxonomic aggregation a valuable tool for detecting multivariate change? Evidence from Mediterranean soil oribatid coenoses

Animal communities are sensitive to environmental disturbance, and several multivariate methods have recently been developed to detect changes in community structure. The complex taxonomy of soil invertebrates constrains the use of the community level in monitoring environmental changes, since species identification requires expertise and time. However, recent literature data on marine communities indicate that little multivariate information is lost in the taxonomic aggregation of species data to high rank taxa. In the present paper, this hypothesis was tested on two oribatid mite (oribatida, Acari) assemblages under two different kinds of disturbance: metal pollution and fires. Results indicate that data sets built at the genus and family systematic rank can detect the effects of disturbance with little loss of information. This is an encouraging result in view of the use of the community level as a preliminary tool for describing patterns of human-disturbed soil ecosystems. (c) 2006 Elsevier SAS. All rights reserved.

Composition and stability of organic matter fractions in soils under different land use regimes

Soil organic matter (SOM) vitally impacts all soil functions and plays a key role in the global carbon (C) cycle. More than 70% of the terrestric C stocks that participate in the active C cycle are stored in the soil. Therefore, quantitative knowledge of the rates of C incorporation into SOM fractions of different residence time is crucial to understand and predict the sequestration and stabilization of soil organic carbon (SOC). Consequently, there is a need of fractionation procedures that are capable of isolating functionally SOM fractions, i.e. fractions that are defined by their stability. The literature generally refers to three main mechanisms of SOM stabilization: protection of SOM from decomposition by (i) its structural composition, i.e. recalcitrance, (ii) spatial inaccessibility and/or (iii) interaction with soil minerals and metal ions. One of the difficulties in developing fractionation procedures for the isolation of functional SOM fractions is the marked heterogeneity of the soil environment with its various stabilization mechanisms – often several mechanisms operating simultaneously – in soils and soil horizons of different texture and mineralogy. The overall objective of the present thesis was to evaluate present fractionation techniques and to get a better understanding of the factors of SOM sequestration and stabilization. The first part of this study is attended to the structural composition of SOM. Using 13C cross-polarization magic-angle spinning (CPMAS) nuclear magnetic resonance (NMR) spectroscopy, (i) the effect of land use on SOM composition was investigated and (ii) examined whether SOM composition contributes to the different stability of SOM in density and aggregate fractions. The second part of the present work deals with the mineral-associated SOM fraction. The aim was (iii) to evaluate the suitability of chemical fractionation procedures used in the literature for the isolation of stable SOM pools (stepwise hydrolysis, treatments using oxidizing agents like Na2S2O8, H2O2, and NaOCl as well as demineralization of the residue obtained by the NaOCl treatment using HF (NaOCl+HF)) by pool sizes, 13C and 14C data. Further, (iv) the isolated SOM fractions were compared to the inert organic matter (IOM) pool obtained for the investigated soils using the Rothamsted Carbon Model and isotope data in order to see whether the tested chemical fractionation methods produce SOM fractions capable to represent this pool. Besides chemical fractionation, (v) the suitability of thermal oxidation at different temperatures for obtaining stable SOC pools was evaluated. Finally, (vi) the short-term aggregate dynamics and the factors that impact macroaggregate formation and C stabilization were investigated by means of an incubation study using treatments with and without application of 15N labeled maize straw of different degradability (leaves and coarse roots). All treatments were conducted with and without the addition of fungicide. Two study sites with different soil properties and land managements were chosen for these investigations. The first one, located at Rotthalmünster, is a Stagnic Luvisol (silty loam) under different land use regimes. The Ah horizons of a spruce forest and continuous grassland and the Ap and E horizons of two plots with arable crops (continuous maize and wheat cropping) were examined. The soil of the second study site, located at Halle, is a Haplic Phaeozem (loamy sand) where the Ap horizons of two plots with arable crops (continuous maize and rye cropping) were investigated. Both study sites had a C3-/C4-vegetational change on the maize plot for the purpose of tracing the incorporation of the younger, maize-derived C into different SOM fractions and the calculation of apparent C turnover times of these. The Halle site is located near a train station and industrial areas, which caused a contamination with high amounts of fossil C. The investigation of aggregate and density fractions by 13C CPMAS NMR spectroscopy revealed that density fractionation isolated SOM fractions of different composition. The consumption of a considerable part (10–20%) of the easily available O-alkyl-C and the selective preservation of the more recalcitrant alkyl-C when passing from litter to the different particulate organic matter (POM) fractions suggest that density fractionation was able to isolate SOM fractions with different degrees of decomposition. The spectra of the aggregate fractions resembled those of the mineral-associated SOM fraction obtained by density fractionation and no considerable differences were observed between aggregate size classes. Comparison of plant litter, density and aggregate size fractions from soil under different land use showed that the type of land use markedly influenced the composition of SOM. While SOM of the acid forest soil was characterized by a large content (> 50%) of POM, which contained high amounts of spruce-litter derived alkyl-C, the organic matter in the biologically more active grassland and arable soils was dominated by mineral-associated SOM (> 95%). This SOM fraction comprised greater proportions of aryl- and carbonyl-C and is considered to contain a higher amount of microbially-derived organic substances. Land use can alter both, structure and stability of SOM fractions. All applied chemical treatments induced considerable SOC losses (> 70–95% of mineral-associated SOM) in the investigated soils. The proportion of residual C after chemical fractionation was largest in the arable Ap and E horizons and increased with decreasing C content in the initial SOC after stepwise hydrolysis as well as after the oxidative treatments with H2O2 and Na2S2O8. This can be expected for a functional stable pool of SOM, because it is assumed that the more easily available part of SOC is consumed first if C inputs decrease. All chemical treatments led to a preferential loss of the younger, maize-derived SOC, but this was most pronounced after the treatments with Na2S2O8 and H2O2. After all chemical fractionations, the mean 14C ages of SOC were higher than in the mineral-associated SOM fraction for both study sites and increased in the order: NaOCl < NaOCl+HF ≤ stepwise hydrolysis << H2O2 ≈ Na2S2O8. The results suggest that all treatments were capable of isolating a more stable SOM fraction, but the treatments with H2O2 and Na2S2O8 were the most efficient ones. However, none of the chemical fractionation methods was able to fit the IOM pool calculated using the Rothamsted Carbon Model and isotope data. In the evaluation of thermal oxidation for obtaining stable C fractions, SOC losses increased with temperature from 24–48% (200°C) to 100% (500°C). In the Halle maize Ap horizon, losses of the young, maize-derived C were considerably higher than losses of the older C3-derived C, leading to an increase in the apparent C turnover time from 220 years in mineral-associated SOC to 1158 years after thermal oxidation at 300°C. Most likely, the preferential loss of maize-derived C in the Halle soil was caused by the presence of the high amounts of fossil C mentioned above, which make up a relatively large thermally stable C3-C pool in this soil. This agrees with lower overall SOC losses for the Halle Ap horizon compared to the Rotthalmünster Ap horizon. In the Rotthalmünster soil only slightly more maize-derived than C3-derived SOC was removed by thermal oxidation. Apparent C turnover times increased slightly from 58 years in mineral-associated SOC to 77 years after thermal oxidation at 300°C in the Rotthalmünster Ap and from 151 to 247 years in the Rotthalmünster E horizon. This led to the conclusion that thermal oxidation of SOM was not capable of isolating SOM fractions of considerably higher stability. The incubation experiment showed that macroaggregates develop rapidly after the addition of easily available plant residues. Within the first four weeks of incubation, the maximum aggregation was reached in all treatments without addition of fungicide. The formation of water-stable macroaggregates was related to the size of the microbial biomass pool and its activity. Furthermore, fungi were found to be crucial for the development of soil macroaggregates as the formation of water-stable macroaggregates was significantly delayed in the fungicide treated soils. The C concentration in the obtained aggregate fractions decreased with decreasing aggregate size class, which is in line with the aggregate hierarchy postulated by several authors for soils with SOM as the major binding agent. Macroaggregation involved incorporation of large amounts maize-derived organic matter, but macroaggregates did not play the most important role in the stabilization of maize-derived SOM, because of their relatively low amount (less than 10% of the soil mass). Furthermore, the maize-derived organic matter was quickly incorporated into all aggregate size classes. The microaggregate fraction stored the largest quantities of maize-derived C and N – up to 70% of the residual maize-C and -N were stored in this fraction.

Spatial covariation of Azotobacter abundance and soil properties: A case study using the wavelet transform

The soil microflora is very heterogeneous in its spatial distribution. The origins of this heterogeneity and its significance for soil function are not well understood. A problem for understanding spatial variation better is the assumption of statistical stationarity that is made in most of the statistical methods used to assess it. These assumptions are made explicit in geostatistical methods that have been increasingly used by soil biologists in recent years. Geostatistical methods are powerful, particularly for local prediction, but they require the assumption that the variability of a property of interest is spatially uniform, which is not always plausible given what is known about the complexity of the soil microflora and the soil environment. We have used the wavelet transform, a relatively new innovation in mathematical analysis, to investigate the spatial variation of abundance of Azotobacter in the soil of a typical agricultural landscape. The wavelet transform entails no assumptions of stationarity and is well suited to the analysis of variables that show intermittent or transient features at different spatial scales. In this study, we computed cross-variograms of Azotobacter abundance with the pH, water content and loss on ignition of the soil. These revealed scale-dependent covariation in all cases. The wavelet transform also showed that the correlation of Azotobacter abundance with all three soil properties depended on spatial scale, the correlation generally increased with spatial scale and was only significantly different from zero at some scales. However, the wavelet analysis also allowed us to show how the correlation changed across the landscape. For example, at one scale Azotobacter abundance was strongly correlated with pH in part of the transect, and not with soil water content, but this was reversed elsewhere on the transect. The results show how scale-dependent variation of potentially limiting environmental factors can induce a complex spatial pattern of abundance in a soil organism. The geostatistical methods that we used here make assumptions that are not consistent with the spatial changes in the covariation of these properties that our wavelet analysis has shown. This suggests that the wavelet transform is a powerful tool for future investigation of the spatial structure and function of soil biota. (c) 2006 Elsevier Ltd. All rights reserved.