Soil type

Summary

A soil type is a taxonomic unit in soil science. All soils that share a certain set of well-defined properties form a distinctive soil type. Soil type is a technical term of soil classification, the science that deals with the systematic categorization of soils. Every soil of the world belongs to a certain soil type. Soil type is an abstract term. In nature, you will not find soil types. You will find soils that belong to a certain soil type. In hierarchical soil classification systems, soil types mostly belong to the higher or intermediate level. A soil type can normally be subdivided into subtypes, and in many systems several soil types can be combined to entities of higher category. However, in the first classification system of the United States (Whitney, 1909), the soil type was the lowest level and the mapping unit. For the definition of soil types, some systems use primarily such characteristics that are the result of soil-forming processes (pedogenesis). An example is the Ge

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Due to human activities, organic pollutants are spilled to the environment where they threaten public health, often as contaminants of soil or groundwater. Living organisms are able to transform or mineralize many organic pollutants, and bioremediation techniques have been developed to remove pollutants from a contaminated site. However, fast and easy methods to document both the efficacy of bioremediation and the changes in soil microbial communities during bioremediation are not well developed. The major aim of this thesis was to develop miniaturized methods targeting the physiology of microbial communities during pollutant degradation in soil and to assess pollution-induced community changes. Furthermore, the methods should identify factors limiting efficient pollutant biodegradation. Petroleum hydrocarbons have been chosen as pollutants because these compounds are frequently spilled, readily water-soluble, partly toxic and carcinogenic, and therefore undesirable in soils and drinking water supplies. The influence of petroleum hydrocarbons on a microbial community in the vadose zone was assessed under field conditions. An artificial hydrocarbon mixture consisting of volatile and semi-volatile compounds similar to jet-fuel was emplaced in a previously uncontaminated vadose zone in nutrient-poor glacial melt water sand. The experiment included monitoring of microbial parameters and CO2 concentrations in soil gas over 3 months, in- and outside the hydrocarbon vapor plume that formed around the buried petroleum. Microbial and chemical analyses of vadose zone samples were performed on material from 9 cores drilled on 3 days at 3 distances from the buried petroleum mass to 3.3 m depth. Significantly elevated CO2 concentrations were observed after contamination. Total cell numbers as determined by fluorescence microscopy were strongly correlated with soil organic carbon and nitrogen content but varied little with contamination. Redundancy analysis (RDA) allowed direct analysis of effects of selected environmental variables or the artificial contamination on microbiological parameters. Variation in biomass and CO2 production was to 46 % explained by soil parameters and to 39.8 % by the duration of contamination. The microbial community structure was assessed by community-level physiological profile analysis using BiologTM EcoPlates. Only 35.9 % of variation in BiologTM data could be attributed to soil parameters and contamination, however, the samples with greatest exposure to hydrocarbons grouped together on RDA plots. It is concluded that at this nutrient-poor site, the microbial community was dominated by the natural heterogeneity and that the influence of petroleum hydrocarbon vapor was weak. BiologTM Eco-Plates combined with RDA were able to distinguish between samples with high and low hydrocarbon exposure. However, the method was not sensitive enough to produce consistent patterns in three replicates when extracts from subsurface soils with low cell numbers were inoculated. A more sensitive, MPN-based system was therefore developed and its ability to provide information about specific pollutant degraders was tested in alluvial sand. Eight dilutions of sand extracts were inoculated on medium- and substrate-containing polypropylene deep-well plates. To keep the concentrations of the volatile substrates constant over several days of incubation without intoxicating the soil community, a substrate-containing organic carrier phase was applied to each vial. The biochemically inert 2,2,4,4,6,8,8-heptamethylnonane (HMN) was appropriate for this purpose. Thus, the volatile substrates partition from HMN into the microorganism-containing soil water where they achieve relatively low concentrations. The sensitive watersoluble tetrazolium dye (WST-1) was added to each well after 7 days incubation to detect dehydrogenase activity. A dark yellow signal was developed for the substrates toluene, n-octane, n-dodecane, 1,2,4-trimethylbenzene and methylcyclohexane but not for isooctane, being strongest in n-alkane amended wells. With this method, more hydrocarbon degrading bacteria were detected in an alluvial sand exposed to kerosene for 72 hours compared to the community in the pristine sand. Both communities were mainly composed of n-alkane degraders. Although encouraging results were achieved, we noticed that the tetrazolium reduction was inhibited in some cases. Wells with high cell numbers, in which obvious growth occurred, did not produce a signal. In a next step, the two-liquid phase system with HMN was applied to modify a miniaturized respiration detection system using whole soil samples instead of soil extracts (Campbell et al., AEM 69, p. 3593). Soil was incubated in deep-well plates in presence of single volatile organic hydrocarbons. The carrier phase was added to the interstitial space in a bead layer on the bottom of the well (below the soil sample), and the hydrocarbons diffused into the soil-water. The soil activity was determined by means of an agar plate containing a pH indicator, which changes color as a function of the produced CO2. Physiological profiles specific to petroleum hydrocarbons in pristine and contaminated soils were assessed. The substrate concentrations, which induced highest microbial activity, as well as concentrations causing inhibition, were determined with effect-concentration curves. Community-level physiological profiles based on hydrocarbon degradation were obtained by applying multivariate analysis on the CO2 yields. The first measurement period of 0-6 hours after addition of relatively high hydrocarbon concentrations to the system yields values, which best separated soil types as well as pristine and contaminated soils. If low concentrations were applied, we obtained only significant separations after 24 hours incubation, probably after a growth step. The same micro-respiration system equipped with a 14CO2 detection plate was applied to study N and P limitation of aerobic mineralization of 14C-toluene in a soil previously exposed to petroleum. Significant nutrient limitation during short-term tests (24-48 hours) was identified and the optimized combination of nutrient addition was determined. Conclusively, miniaturized physiological methods have been proven to detect soil microbial community changes in petroleum hydrocarbon-contaminated soils. Adding an organic carrier phase to the miniaturized systems allowed assuring a volatile organic hydrocarbon supply in non-toxic concentrations in the soil water or the medium for several days. Thus simple, cost-effective systems to investigate the soil community during bioremediation and to address questions of nutrient shortage in soils have been provided with this thesis.

EPFL2004

Improved framework to estimate travel time and derived distributions in hydrological control volumes

Mitra Asadollahi

Crossing properties of soil saturation, defined as the duration and excursion of soil saturation below and above certain thresholds, are key variables to ecosystem functioning and evolution by primarily influencing the plant and soil microbes physiological dynamics. Under climate change, the variability in the precipitation patterns is expected to be more ubiquitous and directly translate to a shift in soil saturation levels. This, in turn, will influence crossing properties of soil saturation and thus be expected to leave a mark on ecosystems. However, the lack of a deep understanding of the links between biological processes and the change in soil saturation patterns hinders foretelling the impact of climate variability on ecohydrological systems even at the smallest scale, that is, the level of a single plant.To that end, this thesis presents experimental results from laboratory soil column experiments and extensive computational studies on the interactions between soil saturation and biological activities, that is, plants and microbes. To this aim, the depth-time soil saturation patterns are mapped by means of modeling the transport processes of relevance and experimental tools at a minimal hydrological control volume in search for upscaling methods. In this context, two modeling approaches can be employed. Physically based models that explicitly represent transport processes with high costs of application at larger scales. Age-based models that rely on generic functions with a focus on time past since arrival, that is, the age of event water in the storage. This thesis work combines models (HYDRUS-1D as physically based and tran-SAS as age-based) with soil column experimental data and Bayesian inference methods to explore the links between age characteristics and transport processes. In this thesis, data from four different experimental designs on monthly to yearly timescale under varied environmental conditions are examined in terms of tracer type, precipitation pattern, vegetation, soil type, resolution and type of collected data. Of the modeled data, two sets of results from specific experiments were carried out within the framework of this thesis.This thesis addresses also the role of the balance between dispersive and convective forces, known as Péclet number, in controlling the shape of age functions in drainage. While sole reliance on drainage flow and tracer data (reflective of Péclet number) suffice to capture age dynamics in drainage, un- certainties may arise for predictions on (evapo)transpiration. This thesis deals also with the role of root distributions as controls in determining the age to root uptake and shows plants with similar uniform-equivalent root distribution render very similar age dynamics. It was shown in this thesis that nitrate consumption by microbes can be linked to age characteristics of a conservative tracer and that the relation between microbial respiration and soil saturation may bear more complexity than is currently integrated in most models. Overall, this thesis lays steps to the development of modeling tools with high predictive power for soil saturation by originating upscaling methods and bridging the gaps between physically based and age-based models with a view on the consequences of (possi- bly changing) variable soil saturation on adaptations of microbial communities and their metabolic product.

EPFL2022

Comparaison des caractéristiques climatiques sous couvert forestier et hors couvert

Valentine Renaud

We compared open-site and below-canopy climatic conditions from 14 different sites in Switzerland based on LWF data (Long-term Forest Ecosystem Research). The 14 sites represent different locations, orientations and elevations, from the Jura Mountains to the southern side of the Alps, composed of deciduous, coniferous and mixed forests. Meteorological measurements were carried out under the canopy at the observation plots, and in open areas outside the forest plots. We analysed air temperature during summer 2003, in connection with the exceptionally high temperatures measured during that summer and during the 11-day August heat wave. From April to October 2003, there was a significant correlation between the absolute value of temperature and the difference between open-site and below-canopy temperature: the warmer the temperature, the stronger the impact of the forest. For maximum temperature, the difference was higher in deciduous and mixed forests, especially those with beech as the dominant tree species, compared to conifer forests. For minimum temperature, the discrepancy was higher in conifer forests but, generally, the north-oriented slopes showed greater differences than the other slopes. The results are similar for a decade period of temperature analysis between below-canopy and open-field, from 1998 to 2007. We also compared below-canopy and open-field data for minimum, maximum and daily mean temperature, relative humidity (RH), maximum and daily mean photosynthetically active radiation (PAR) and wind speed (m/s) from 1998 to 2007. We analysed the forest influence on local summer and winter climate according to the forest type (coniferous, mixed, deciduous), soil type, basal area (m2/ha) and tree height (m). In summer, deciduous and mixed forests generally have the strongest impact on daytime temperatures, from 3 to 5 K cooler under the canopy, with a higher RH, up to 17%. Coniferous forests have a moderating effect on night temperatures, from 1 to 4 K warmer below-canopy, with a lower HR, from 4 to 15% less humid under the canopy. In winter, the forest lowered the day-time temperatures, from 0.2 to 5K, accordingly to the orientation and the dominant specie, and generally increased night-time temperatures, up to 6.2 K in north-oriented conifer sites. The day-time RH was enhanced in all forest types compared to open-field, from 5 to 22%, except in an open Scots pine forest, and the night-time RH was generally reduced below-canopy, especially in coniferous stands, being up to 22% less humid below-canopy in pine forests. We applied the Heat Index (HI) and the NET (Net effective temperature) index to the open-field and below-canopy meteorological data (maximum temperature, relative humidity and wind speed) in order to determine the bioclimatic potential of the different forest stands in summer from 1998 to 2007, and more specifically during the summer 2003 heat wave. We applied the NET index and the Windchill index to determine the forest bioclimatic potential for human wellbeing during winter from 1998 to 2007. In summer, generally, the bioclimatic conditions were clearly more comfortable for humans in the forest than in open-field. When the conditions came out as very hot or requiring extreme caution in open-field, they were in the more comfortable zone in the deciduous and mixed forest at hill and mountain level. This was particularly evident during the exceptionally hot summer of 2003. In winter, bioclimatic conditions were also more comfortable below-canopy, mainly due to the forest effectively reducing wind speed. In order to cope with the likely increasing frequency and intensity of heat waves, our results show and quantify the role of forests in providing a cool shelter. The results are of particular value to urban areas, where forested parks could provide an important source of relief during heatwaves. It is therefore necessary to maintain and develop the accessibility of forested areas to city dwellers. Accordingly to our sample, the most efficient ecosystems for this purpose appear to be generally the deciduous and mixed forests and more specifically the beech and beech–silver fir stands. The opposite effect was seen in mugo pine and Scots pine forests, with warmer temperatures under the canopy compared to open-site.

EPFL2010