Influence of agricultural practices and seasons on the abundance and community structure of culturable pseudomonads in soils under no-till management in Argentina

Background and aims

Members of the genus Pseudomonas are common inhabitants of rhizospheres and soils, and it is known that soil types and crop species influence their population density and structure. 20?×?10⁶ ha are cultivated under no-tillage in Argentina and there is a need to find new biologically-based soil quality indexes to distinguish between sustainable and non-sustainable agricultural practices. Pseudomonads abundance and community structure were analyzed in no-till soils with different agricultural practices, in productive fields along 400 km of Argentinean Pampas.

Methods

We sampled soils and root systems from agricultural plots in which sustainable or non-sustainable agricultural practices have been applied. Samples were collected in summer and winter during 2010 and 2011. Culturable fluorescent and total pseudomonads were enumerated by plating on Gould’s selective medium S1. Colonies from these plates served as DNA source to carry out PCR-RFLP community structure analysis of the pseudomonads-specific marker genes oprF and gacA.

Results

Abundance of total and fluorescent culturable pseudomonads in bulk soils was influenced by seasonal changes and agricultural practices. Rhizospheric counts from the same crop were affected by agricultural treatments. Also, crop species influenced pseudomonads density in the rhizosphere. Combined PCR-RFLP profile of both genes showed a seasonal grouping of samples.

Conclusions

Sustainable soil management seems to promote pseudomonads development in soils, favoring root colonization of crops from those plots. Crop species influence total pseudomonads load of rhizospheres and its community structure. Total or relative pseudomonads load could function as soil quality indicator of good agricultural practices.     

Bacterial Indicator of Agricultural Management for Soil under No-Till Crop Production

The rise in the world demand for food poses a challenge to our ability to sustain soil fertility and sustainability. The increasing use of no-till agriculture, adopted in many areas of the world as an alternative to conventional farming, may contribute to reduce the erosion of soils and the increase in the soil carbon pool. However, the advantages of no-till agriculture are jeopardized when its use is linked to the expansion of crop monoculture. The aim of this study was to survey bacterial communities to find indicators of soil quality related to contrasting agriculture management in soils under no-till farming. Four sites in production agriculture, with different soil properties, situated across a west-east transect in the most productive region in the Argentinean pampas, were taken as the basis for replication. Working definitions of Good no-till Agricultural Practices (GAP) and Poor no-till Agricultural Practices (PAP) were adopted for two distinct scenarios in terms of crop rotation, fertilization, agrochemicals use and pest control. Non-cultivated soils nearby the agricultural sites were taken as additional control treatments. Tag-encoded pyrosequencing was used to deeply sample the 16S rRNA gene from bacteria residing in soils corresponding to the three treatments at the four locations. Although bacterial communities as a whole appeared to be structured chiefly by a marked biogeographic provincialism, the distribution of a few taxa was shaped as well by environmental conditions related to agricultural management practices. A statistically supported approach was used to define candidates for management-indicator organisms, subsequently validated using quantitative PCR. We suggest that the ratio between the normalized abundance of a selected group of bacteria within the GP1 group of the phylum Acidobacteria and the genus Rubellimicrobium of the Alphaproteobacteria may serve as a potential management-indicator to discriminate between sustainable vs. non-sustainable agricultural practices in the Pampa region.     

Short-term response of soil enzyme activities in a chlorpyrifos-treated mesocosm: Use of enzyme-based indexes

Soil enzyme activities have been long used as indicators of soil contamination, and their integration into numerical indexes of microbial functional diversity is a practical approach in the environmental risk assessment of soil pollutants. However, suitable numerical indexes need to be developed and standardized for monitoring deterioration of soil quality by agrochemicals. Herein, a mesocosm study was performed to examine short-term responses of selected soil enzyme activities to chlorpyrifos (Lorsban^® 4E). Hydrolases (carboxylesterase, acid phosphatase, β-glucosidase, urease and protease) and oxidoreductases (dehydrogenase and catalase) were measured in Andisols 14 d after an application with two doses (4.8 and 24 kg a.i. ha⁻¹) of chlorpyrifos. Both application rates caused a strong inhibition of carboxylesterase (62–78% of controls), acid phosphatase (56–60%) and β-glucosidase (43–58%) activities. Soil microbial activity was also reduced in pesticide-sprayed soils as indicated by the decreased dehydrogenase (47%) and catalase (38%) activities compared with control soils. However, only carboxylesterase activity showed a dose-dependent response with the chlorpyrifos application rate. An in vitro trial was further performed to provide evidence of a direct interaction between the enzyme (carboxylesterase, acid phosphatase and β-glucosidase) and the pesticide (chlorpyrifos and its main metabolites chlorpyrifos-oxon and 3,5,6-trichloro-2-pyridinol). Results of these in vitro assays showed that the activity of carboxylesterase was directly affected by chlorpyrifos-oxon and, at less extend, by chlorpyrifos, whereas variations of both acid phosphatase and β-glucosidase activities were likely dependent on changes in microbial activity. Urease and protease activities did not change in pesticide-treated soils compared with pesticide-free soils. Despite the absence of response in these two N-cycling enzyme activities, four enzymatic indexes (geometric mean, weighted mean, “treated-soil quality index” [T-SQI] and “integrated biological response” [IBRv2] index) were significantly lower in the chlorpyrifos-sprayed soils compared with controls. Moreover, there was a significant (r² = 0.87, P < 0.0001) correlation between T-SQI and IBRv2 scores, which suggested that the IBRv2 index (an index used for assessing animal’s health inhabiting contaminated sites) may be a complementary index in soil quality assessment.     

Global Potential of Soil Carbon Sequestration to Mitigate the Greenhouse Effect

An increase in atmospheric concentration of CO₂ from 280?ppmv in 1750 to 367?ppmv in 1999 is attributed to emissions from fossil fuel combustion estimated at 270±30?Pg C and land use change at 136±55?Pg. Of the emissions from land use change, 78±12?Pg is estimated from depletion of soil organic carbon (SOC) pool. Most agricultural soils have lost 50 to 70% of their original SOC pool, and the depletion is exacerbated by further soil degradation and desertification. The restoration of degraded soils, conversion of agriculturally marginal lands to appropriate land use, and the adoption of recommended management practices on agricultural soils can reverse degradative trends and lead to SOC sequestration. Technological options for SOC sequestration on agricultural soils include adoption of conservation tillage, use of manures, and compost as per integrated nutrient management and precision farming strategies, conversion of monoculture to complex diverse cropping systems, meadow-based rotations and winter cover crops, and establishing perennial vegetation on contours and steep slopes. The global potential of SOC sequestration and restoration of degraded/desertified soils is estimated at 0.6 to 1.2?Pg C/y for about 50 years with a cumulative sink capacity of 30 to 60?Pg. The SOC sequestration is a costeffective strategy of mitigating the climate change during the first 2 to 3 decades of the 21^st century. While improving soil quality, biomass productivity and enhanced environment quality, the strategy of SOC sequestration also buys us time during which the non-carbon fuel alternatives can take effect.     

Soil Enzyme Activities and Their Relationship with Soil Physico-Chemical Properties and Oxide Minerals in Coastal Agroecosystem of Puducherry

The objectives of our research were to assess the soil enzyme activities in relation with soil physicochemical and oxide minerals in the coastal agroecosystem of Puducherry region, India. Soils from nine farms in organic (ORG), sustainable (SUS), and conventional (CON) farming were sampled. Organically managed farming system soils contain significantly higher amounts of soil total N, organic carbon, and a higher level of microbial biomass C and N. Urease, protease, β-glucosidase, cellulose, saccharase, xylanase, and alkaline phosphatase enzyme activities were higher in organic farming system soils compared to sustainable and conventional farming soils. In addition, silt, clay, Al₂O₃, CaO, Fe₂O₃, K₂O, MgO, MnO, Na₂O, and P₂O₅ oxides were higher in organic farming soil and they showed a significant positive correlation with soil enzyme activities. Our study revealed that soil enzyme activities and soil minerals were significantly affected by farm management practices. The organic farming system had improved the soil health, enzyme activities, and plant available nutrients in coastal agro-ecosystem.     

Phosphorus in agricultural soils: drivers of its distribution at the global scale

Phosphorus (P) availability in soils limits crop yields in many regions of the World, while excess of soil P triggers aquatic eutrophication in other regions. Numerous processes drive the global spatial distribution of P in agricultural soils, but their relative roles remain unclear. Here, we combined several global data sets describing these drivers with a soil P dynamics model to simulate the distribution of P in agricultural soils and to assess the contributions of the different drivers at the global scale. We analysed both the labile inorganic P (P_ILAB), a proxy of the pool involved in plant nutrition and the total soil P (P_TOT). We found that the soil biogeochemical background corresponding to P inherited from natural soils at the conversion to agriculture (BIOG) and farming practices (FARM) were the main drivers of the spatial variability in cropland soil P content but that their contribution varied between P_TOT vs. P_ILAB. When the spatial variability was computed between grid cells at half‐degree resolution, we found that almost all of the P_TOT spatial variability could be explained by BIOG, while BIOG and FARM explained 38% and 63% of P_ILAB spatial variability, respectively. Our work also showed that the driver contribution was sensitive to the spatial scale characterizing the variability (grid cell vs. continent) and to the region of interest (global vs. tropics for instance). In particular, the heterogeneity of farming practices between continents was large enough to make FARM contribute to the variability in P_TOT at that scale. We thus demonstrated how the different drivers were combined to explain the global distribution of agricultural soil P. Our study is also a promising approach to investigate the potential effect of P as a limiting factor for agroecosystems at the global scale.     

The effect of nutrient application and aeration on oil degradation in soil

Oil degradation was determined in oil-polluted (1 or 2 ml of light Nigerian crude/20 g soil, equivalent to 5 and 10% pollution) soils treated with (NH₄)₂SO₄ and with nutrient elements with and without enhanced aeration. There was no significant difference in oil degradation in soils with and without enhanced aeration, nor in soils treated with and without (NH₄)₂SO₄ and/or nutrients after 4 weeks incubation. After 12 weeks, oil degradation was significantly higher (p = 0·05) in the (NH₄)₂SO₄ and nutrient treated soils in comparison to the untreated soils, and in soils with enhanced aeration in comparison to the undisturbed soil, at the 5% oil pollution level.Warburg respirometer studies showed more oxygen consumption (significant at p = 0·05) in the polluted soils compared with the unpolluted soils. In oil-polluted soils oxygen consumption was depressed significantly (p = 0·05) by the addition of (NH₄)₂SO₄, but was enhanced significantly (p = 0·05) by the addition of (NH₄)₂SO₄ and nutrient elements. The respiratory quotient (RQ) was reduced from 0·81 in unpolluted soils to 0·62 in oil-polluted soils.     

Greenhouse gas fluxes respond to different N fertilizer types due to altered plant-soil-microbe interactions

The application of inorganic nitrogen (N) fertilizers strongly influences the contribution of agriculture to the greenhouse effect, especially by potentially increasing emissions of nitrous oxide (N₂O), carbon dioxide (CO₂) and methane (CH₄) from soils. The present microcosm-study investigates the effect of different forms of inorganic N fertilizers on greenhouse gas (GHG) emissions from two different agricultural soils. The relationship between greenhouse gas emissions and soil microbial communities, N transformation rates and plant (Hordeum vulgare L. cv. Morex) growth were investigated. Repeated N fertilization led to increased N₂O emissions. In a parallel survey of functional microbial population dynamics we observed a stimulation of bacterial and archaeal ammonia oxidisers accompanied with these N₂O emissions. The ratio of archaeal to bacterial ammonium monooxygenase subunit A (amoA) gene copies (data obtained from Inselsbacher et al., 2010) correlated positively with N₂O fluxes, which suggests a direct or indirect involvement of archaea in N₂O fluxes. Repeated N fertilization also stimulated methane oxidation, which may also be related to a stimulation of ammonia oxidizers. The fertilizer effects differed between soil types: In the more organic Niederschleinz soil N-turnover rates increased more strongly after fertilization, while in the sandy Purkersdorf soil plant growth and soil respiration were accelerated depending on fertilizer N type. Compared to addition of NH ₄ ⁺ and NO ₃ ^? , addition of NH₄NO₃ fertilizer resulted in the largest increase in global warming potential as a summary indicator of all GHG related effects. This effect resulted from the strongest increase of both N₂O and CO₂ emission while plant growth was not equally stimulated, compared to e.g. KNO₃ fertilization. In order to decrease N losses from agricultural ecosystems and in order to minimize soil derived global warming potential, this study points to the need for interdisciplinary investigations of the highly complex interactions within plant-soil-microbe-atmosphere systems. By understanding the microbial processes underlying fertilizer effects on GHG emissions the N use efficiency of crops could be refined.     

The results of an assessment of the ecological state of zoobenthos communities according to the difference of evenness index (D E′ )

The difference of the evenness index (D _E′ ) is offered for an assessment of the ecological state of zoobenthos communities. The index is deduced on the basis of the Shannon indexes calculated according to abundance and biomass data and differentiates between these informational estimations (Shannon diversity) of evenness of species in any given community. Conclusions made by Pianka about the predomination of organisms with r and K life strategy in communities impacted and unimpacted by ecological stress, as well as the ABC-curves method suggested by Warwick, were used as the basis of the functioning mechanism for the suggested index. The examples of index applicability are demonstrated by an assessment of materials collected in freshwater, estuarine, and marine waterbodies during one-time surveys and long-term monitoring observations. The results are compared with zoobenthos assessments made on the basis of some other indexes. Conclusions concerning the efficiency of the D _E′ have been made and some of its advantages over other indexes are shown.     

Reforestation: A potential approach to mitigate excess atmospheric CH4 build‐up

Summary Methane (CH₄) is a very dangerous greenhouse gas, and its atmospheric concentration is rising due to natural and anthropogenic disturbances. Anthropogenic disturbances such as forest clearing, land‐use changes and farming practices all result in considerable increases in N inputs and alterations in soil properties, including the CH₄ sink potential of the soil. Forest soils contribute to the consumption of CH₄ due to the presence of methanotrophic bacteria. It is proposed that the restoration of degraded forest ecosystems or unused degraded land may significantly contribute to the recovery of methanotrophic activity in the soil and thereby the soil CH₄ sink potential.     

Desert farming benefits from microbial potential in arid soils and promotes diversity and plant health

Background

To convert deserts into arable, green landscapes is a global vision, and desert farming is a strong growing area of agriculture world-wide. However, its effect on diversity of soil microbial communities, which are responsible for important ecosystem services like plant health, is still not known.

Methodology/Principal Findings

We studied the impact of long-term agriculture on desert soil in one of the most prominent examples for organic desert farming in Sekem (Egypt). Using a polyphasic methodological approach to analyse microbial communities in soil as well as associated with cultivated plants, drastic effects caused by 30 years of agriculture were detected. Analysing bacterial fingerprints, we found statistically significant differences between agricultural and native desert soil of about 60%. A pyrosequencing-based analysis of the 16S rRNA gene regions showed higher diversity in agricultural than in desert soil (Shannon diversity indices: 11.21/7.90), and displayed structural differences. The proportion of Firmicutes in field soil was significantly higher (37%) than in the desert (11%). Bacillus and Paenibacillus play the key role: they represented 96% of the antagonists towards phytopathogens, and identical 16S rRNA sequences in the amplicon library and for isolates were detected. The proportion of antagonistic strains was doubled in field in comparison to desert soil (21.6%/12.4%); disease-suppressive bacteria were especially enriched in plant roots. On the opposite, several extremophilic bacterial groups, e.g., Acidimicrobium, Rubellimicrobium and Deinococcus-Thermus, disappeared from soil after agricultural use. The N-fixing Herbaspirillum group only occurred in desert soil. Soil bacterial communities were strongly driven by the a-biotic factors water supply and pH.

Conclusions/Significance

After long-term farming, a drastic shift in the bacterial communities in desert soil was observed. Bacterial communities in agricultural soil showed a higher diversity and a better ecosystem function for plant health but a loss of extremophilic bacteria. Interestingly, we detected that indigenous desert microorganisms promoted plant health in desert agro-ecosystems.     

Co-Occurring Anammox,Denitrification, and Codenitrification in Agricultural Soils

Anammox and denitrification mediated by bacteria are known to be the major microbial processes converting fixed N to N₂ gas in various ecosystems. Codenitrification and denitrification by fungi are additional pathways producing N₂ in soils. However, fungal codenitrification and denitrification have not been well investigated in agricultural soils. To evaluate bacterial and fungal processes contributing to N₂ production, molecular and ¹⁵N isotope analyses were conducted with soil samples collected at six different agricultural fields in the United States. Denitrifying and anammox bacterial abundances were measured based on quantitative PCR (qPCR) of nitrous oxide reductase (nosZ) and hydrazine oxidase (hzo) genes, respectively, while the internal transcribed spacer (ITS) of Fusarium oxysporum was quantified to estimate the abundance of codenitrifying and denitrifying fungi. ¹⁵N tracer incubation experiments with ¹⁵NO₃⁻ or ¹⁵NH₄⁺ addition were conducted to measure the N₂ production rates from anammox, denitrification, and codenitrification. Soil incubation experiments with antibiotic treatments were also used to differentiate between fungal and bacterial N₂ production rates in soil samples. Denitrifying bacteria were found to be the most abundant, followed by F. oxysporum based on the qPCR assays. The potential denitrification rates by bacteria and fungi ranged from 4.118 to 42.121 nmol N₂-N g⁻¹ day⁻¹, while the combined potential rates of anammox and codenitrification ranged from 2.796 to 147.711 nmol N₂-N g⁻¹ day⁻¹. Soil incubation experiments with antibiotics indicated that fungal codenitrification was the primary process contributing to N₂ production in the North Carolina soil. This study clearly demonstrates the importance of fungal processes in the agricultural N cycle.     

Assay of nitrogen supplying capacity of tropical rice soils

Summary The nitrogen supplying capacity of 39 wetland rice soils evaluated by two anaerobic incubation methods and six chemical methods was compared with N uptake of IR 26 rice grown on these soils under flooded conditions in a greenhouse pot study. The uptake of N by rice correlated highly with the N supplying capacity determined by anaerobic incubation methods involving incubation of soils at 30°C for 2 weeks (r=0.84^**) or at 40°C for 1 week (r=0.82^**) as well as with the organic carbon (r=0.82^**) and total N (r=0.84^**) contents of soils. Among the chemical indexes, available N determined by the oxidative release of soil N by alkaline permanganate, acid permanganate, acid dichromate and hydrogen peroxide also provided good index of soil N availability to rice. According to these results soil organic carbon and total N contents seem to be good indexes of available nitrogen in tropical wetland rice soils.     

Wildfire Effects on Soil Gross Nitrogen Transformation Rates in Coniferous Forests of Central Idaho, USA

Forest fires often result in a series of biogeochemical processes that increase soil nitrate (NO₃ ^?) concentrations for several years; however, the dynamic nature of inorganic nitrogen (N) cycling in the plant–microbe–soil complex makes it challenging to determine the direct causes of increased soil NO₃ ^?. We measured gross inorganic N transformation rates in mineral soils 2 years after wildfires in three central Idaho coniferous forests to determine the causes of the elevated soil NO₃ ^?. We also measured key factors that could affect the soil N processes, including temperature during soil incubation in situ, soil water content, pH and carbon (C) availability. We found no significant differences (P = 0.461) in gross nitrification rates between burned and control soils. However, microbial NO₃ ^? uptake rates were significantly lower (P = 0.078) in burned than control soils. The reduced consumption of NO₃ ^? caused slightly elevated NO₃ ^? concentrations in the burned soils. C availability was positively correlated with microbial NO₃ ^? uptake rates. Despite reduced microbial NO₃ ^? uptake capacity in the burned soils, soil microbes were a strong enough N sink to maintain low soil NO₃ ^? concentrations 2 years post fire. Soil NH₄ ⁺ concentrations between the treatments were not significantly different (P = 0.673). However, gross NH₄ ⁺ production and microbial uptake rates in burned soils were significantly lower (P = 0.028 and 0.035, respectively) than in the controls, and these rates were positively correlated with C availability. Our results imply that C availability is an important factor regulating soil N cycling of coniferous forests in the region.     

Relationship between soil organic carbon and microbial biomass on chronosequences of reclamation sites

The interrelationship between soil microorganisms and soil organic carbon was studied on an agricultural and on a forest chronosequence of open-pit mine reclamation soils. Thirty years after reclamation, soil carbon levels of 0.8% on the agricultural sites and 1.7% on the forest sites (A-horizon) were reached. Microbial biomass rose very fast to levels characteristic of undisturbed soils. Microbial carbon (C_mier) was 57 mg·100 g^–1 soil after 15 years on the agricultural sites and 43 mg·100 g^–1 on the forest sites. The contribution of C_mier to the total organic carbon (C_org) decreased with time, more rapidly on the forest sites than on the agricultural ones. From the C_mierr/C_org ratio it became evident that both chronosequences had not yet reached a steady state within the 50 years of reclamation. A significant decrease of the metabolic quotient qCO₂ (microbial respiration per unit biomass) with time was observed on the agricultural sites but not on the forest sites. The C_mier/C_org ratio proved to be a reliable soil microbial parameter for describing changes in man-made ecosystems. For evaluating reclamation efforts, the C_mier/C_org ratio can be considered superior to its single components (C_mier or C_org) and to other parameters.     

海蜇养殖对池塘底泥营养盐和大型底栖动物群落结构的影响

2009年5-9月,对荣成靖海湾大型养殖池塘海蜇(Rhopilema esculentum Kishinouye)养殖期间与养殖期前后底泥营养盐及大型底栖动物群落结构变化进行了研究。结果表明,7月份海蜇养殖期间,由于海蜇的避光性而产生的上下浮动的行为特征造成了对水体的扰动作用, 与海蜇的生物沉积作用共同导致养殖海区(实验点)与邻近非养殖海区(对照点)之间各项底泥营养盐指标均存在显著性差异,其中,实验点氨氮(NH₄-N)、硝氮(NO₃-N)和沉降速率(sedimentation rate, SR)显著高于对照点,实验点叶绿素a(Chla)、总有机物(TOM)和总有机碳(TOC)含量显著低于对照点。多变量聚类分析结果表明,海蜇养殖对养殖池塘的大型底栖动物群落结构产生显著影响,并且7月份实验点大型底栖动物生物多样性指数(H')和均匀度指数(J) 随海蜇放养显著增大,并显著高于对照点。大型底栖动物群落多样性指数与沉降速率(SR)和底泥TOM含量分别表现出显著正相关和负相关,而与其他营养盐指标无显著相关性。     

木荷次生林林木更新与土壤特征的相关性

以湖南省青石冈林场木荷次生林为研究对象,在测定其土壤特征基础上,分析了林木天然更新指数和土壤理化性质的相关性。结果表明:1)8种林分更新状况有差异,更新状况由差到好的排序为:S-CP(0.46)S-DC(0.52)S-CD(0.64)S-CL(0.68)S-CM(0.69)S-CQ(0.69)S-PC(0.74)S-CP(0.88),其中与针叶树种混交的林分更新效果好。2)酸性环境更有利于林分的更新,且林地养分含量越高林分更新效果越好,有机碳、全N以及全P的含量高的林分更新指数明显大于其含量低的林分,土壤pH值、容重与更新指数变化规律相反,全K的含量与更新指数没有明显联系。3)林木更新指数与土壤容重呈显著性负相关关系(r=-0.86**),与土壤含水量(r=0.93**)、有机碳(r=0.90**)、全N(r=0.88**)、水解性氮(r=0.83*)和全P(r=0.78*)呈显著正相关关系,相关性依次减弱,且相关性在不同林分有一定差异,更新状况属于中等水平的林分相关性强,且15—45cm土层土壤理化性质与更新指数的相关性最强;经主成分分析发现,在众多影响林分天然更新的土壤特性当中,含水量、有机碳和全N决定该地区木荷次生林更新的关键因素。研究的结果为森林可持续利用以及木荷次生林的恢复和管理提供科学依据。     

Microbial Activity and 13C/12C Ratio as Evidence of N-Hexadecane and N-Hexadecanoic Acid Biodegradation in Agricultural and Forest Soils

The dynamics of microbial degradation of exogenous contaminants, n-hexadecane and its primary microbial oxidized metabolite, n-hexadecanoic (palmitic) acid, was studied for topsoils, under agricultural management and beech forest on the basis the changes in O₂ uptake, CO₂ evolution and its associated carbon isotopic signature, the respiratory quotient (RQ) and the priming effect (PE) of substrates. Soil microbial communities in agricultural soil responded to the n-hexadecane addition more rapidly compared to those of forest soil, with lag-periods of about 23 ± 10 and 68 ± 13 hours, respectively. Insignificant difference in the lag-period duration was detected for agricultural (t_lag = 30 ± 13 h) and forest (t_lag = 30 ± 14 h) soils treated with n-hexadecanoic (palmitic) acid. These results demonstrate that the soil microbiota has different metabolic activities for using n-hexadecane as a reductive hydrocarbon and n-hexadecanoic acid as a partly oxidized hydrocarbon. The corresponding δ¹³C of respired CO₂ after the addition of the hydrocarbon contaminants to soils indicates a shift in microbial activity towards the consumption of exogenous substrates with a more complete degradation of n-hexadecane in the agricultural soil, for which some initial contents of hydrocarbons are inherent. It is supposed that the observed deviation of RQ from theoretically calculated value under microbial substrate mineralization is determined by difference in the time (Δt_i) of registration of CO₂ production and O₂ consumption. Positive priming effect (PE) of n-hexadecane and negative PE of n-hexadecanoic (palmitic) acid were detected in agricultural and forest soils. It is suggested that positive PE of n-hexadecane is conditioned by the induction of microbial enzymes that perform hydroxylation/oxygenation of stable SOM compounds mineralized by soil microbiota to CO₂. The microbial metabolism coupled with oxidative decarboxylation of n-hexadecanoic acid is considered as one of the most probable causes of the revealed negative PE value.     

Soil CO2 emission estimated by different interpolation techniques

Soil CO₂ emissions are highly variable, both spatially and across time, with significant changes even during a one-day period. The objective of this study was to compare predictions of the diurnal soil CO₂ emissions in an agricultural field when estimated by ordinary kriging and sequential Gaussian simulation. The dataset consisted of 64 measurements taken in the morning and in the afternoon on bare soil in southern Brazil. The mean soil CO₂ emissions were significantly different between the morning (4.54 ??mol m^?2 s^?1) and afternoon (6.24 ??mol m^?2 s^?1) measurements. However, the spatial variability structures were similar, as the models were spherical and had close range values of 40.1 and 40.0 m for the morning and afternoon semivariograms. In both periods, the sequential Gaussian simulation maps were more efficient for the estimations of emission than ordinary kriging. We believe that sequential Gaussian simulation can improve estimations of soil CO₂ emissions in the field, as this property is usually highly non-Gaussian distributed.     

Soil Carbon, Nitrogen and Phosphorus Dynamics as Affected by Solarization Alone or Combined with Organic Amendment

Soil solarization, alone or combined with organic amendment, is an increasingly attractive approach for managing soil-borne plant pathogens in agricultural soils. Even though it consists in a relatively mild heating treatment, the increased soil temperature may strongly affect soil microbial processes and nutrients dynamics. This study aimed to investigate the impact of solarization, either with or without addition of farmyard manure, in soil dynamics of various C, N and P pools. Changes in total C, N and P contents and in some functionally-related labile pools (soil microbial biomass C and N, K₂SO₄-extractable C and N, basal respiration, KCl-exchangeable ammonium and nitrate, and water-soluble P) were followed across a 72-day field soil solarization experiment carried out during a summer period on a clay loam soil in Southern Italy. Soil physico-chemical properties (temperature, moisture content and pH) were also monitored. The average soil temperature at 8-cm depth in solarized soils approached 55 °C as compared to 35 °C found in nonsolarized soil. Two-way ANOVA (solarization×organic amendment) showed that both factors significantly affected most of the above variables, being the highest influence exerted by the organic amendment. With no manure addition, solarization did not significantly affect soil total C, N and P pools. Whereas soil pH, microbial biomass and, at a greater extent, K₂SO₄-extractable N and KCl-exchangeable ammonium were greatly affected. An increased release of water-soluble P was also found in solarized soils. Yet, solarization altered the quality of soluble organic residues released in soil as it lowered the C-to-N ratio of both soil microbial biomass and K₂SO₄-extractable organic substrates. Additionally, in solarized soils the metabolic quotient (qCO₂) significantly increased while the microbial biomass C-to-total organic C ratio (microbial quotient) decreased over the whole time course. We argued that soil solarization promoted the mineralization of readily decomposable pools of the native soil organic matter (e.g. the microbial biomass) thus rendering larger, at least over a short-term, the available fraction of some soil mineral nutrients, namely N and P forms. However, over a longer prospective solarization may lead to an over-exploitation of labile organic resources in agricultural soils. Manure addition greatly increased the levels of both total and labile C, N and P pools. Thus, addition of organic amendments could represent an important strategy to protect agricultural lands from excessive soil resources exploitation and to maintain soil fertility while enhancing pest control.