TY - JOUR A1 - Rasigraf, Olivia A1 - Wagner, Dirk T1 - Landslides BT - an emerging model for ecosystem and soil chronosequence research JF - Earth science reviews : the international geological journal bridging the gap between research articles and textbooks N2 - Erosion by landslides is a common phenomenon in mountain regions around the globe, affecting all climatic zones. Landslides facilitate bedrock weathering, pedogenesis and ecological succession, being key drivers of biodiversity. Landslide chronosequences have long been used for studies of vegetation succession in initial ecosystems, but they further offer ideal model systems for studies of soil development and microbial community succession. In this review we synthesize the state of knowledge on the role of landslides in ecosystems, their influence on element cycles and interactions with biota. Further, we discuss feedback mechanisms between global warming, landslide activity and greenhouse gas emissions. In the view of increasing anthropogenic influence and climate change, soils are becoming a critical resource. Due to their ubiquity, landslide chronosequences have the potential to provide critical insights into soil development under different climates and thereby contribute to future soil restoration efforts. KW - Landslides KW - Greenhouse gas emissions KW - Landslide chronosequences KW - Soil KW - microbial community KW - Erosion KW - Biodiversity KW - Microbial processes KW - Climate KW - change Y1 - 2022 U6 - https://doi.org/10.1016/j.earscirev.2022.104064 SN - 0012-8252 SN - 1872-6828 VL - 231 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Fournier, Bertrand A1 - Steiner, Magdalena A1 - Brochet, Xavier A1 - Degrune, Florine A1 - Mammeri, Jibril A1 - Carvalho, Diogo Leite A1 - Siliceo, Sara Leal A1 - Bacher, Sven A1 - Peña-Reyes, Carlos Andrés A1 - Heger, Thierry Jean T1 - Toward the use of protists as bioindicators of multiple stresses in agricultural soils BT - a case study in vineyard ecosystems JF - Ecological indicators : integrating monitoring, assessment and management N2 - Management of agricultural soil quality requires fast and cost-efficient methods to identify multiple stressors that can affect soil organisms and associated ecological processes. Here, we propose to use soil protists which have a great yet poorly explored potential for bioindication. They are ubiquitous, highly diverse, and respond to various stresses to agricultural soils caused by frequent management or environmental changes. We test an approach that combines metabarcoding data and machine learning algorithms to identify potential stressors of soil protist community composition and diversity. We measured 17 key variables that reflect various potential stresses on soil protists across 132 plots in 28 Swiss vineyards over 2 years. We identified the taxa showing strong responses to the selected soil variables (potential bioindicator taxa) and tested for their predictive power. Changes in protist taxa occurrence and, to a lesser extent, diversity metrics exhibited great predictive power for the considered soil variables. Soil copper concentration, moisture, pH, and basal respiration were the best predicted soil variables, suggesting that protists are particularly responsive to stresses caused by these variables. The most responsive taxa were found within the clades Rhizaria and Alveolata. Our results also reveal that a majority of the potential bioindicators identified in this study can be used across years, in different regions and across different grape varieties. Altogether, soil protist metabarcoding data combined with machine learning can help identifying specific abiotic stresses on microbial communities caused by agricultural management. Such an approach provides complementary information to existing soil monitoring tools that can help manage the impact of agricultural practices on soil biodiversity and quality. KW - Biomonitoring KW - Machine learning KW - Predictive model KW - Soil function KW - Soil KW - quality KW - Microbial ecology Y1 - 2022 U6 - https://doi.org/10.1016/j.ecolind.2022.108955 SN - 1470-160X SN - 1872-7034 VL - 139 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Vaidya, Shrijana A1 - Schmidt, Marten A1 - Rakowski, Peter A1 - Bonk, Norbert A1 - Verch, Gernot A1 - Augustin, Jürgen A1 - Sommer, Michael A1 - Hoffmann, Mathias T1 - A novel robotic chamber system allowing to accurately and precisely determining spatio-temporal CO2 flux dynamics of heterogeneous croplands JF - Agricultural and forest meteorology N2 - The precise and accurate assessment of carbon dioxide (CO2) exchange is crucial to identify terrestrial carbon (C) sources and sinks and for evaluating their role within the global C budget. The substantial uncertainty in disentangling the management and soil impact on measured CO2 fluxes are largely ignored especially in cropland. The reasons for this lies in the limitation of the widely used eddy covariance as well as manual and automatic chamber systems, which either account for short-term temporal variability or small-scale spatial heterogeneity, but barely both. To address this issue, we developed a novel robotic chamber system allowing for dozens of spatial measurement repetitions, thus enabling CO2 exchange measurements in a sufficient temporal and high small-scale spatial resolution. The system was tested from 08th July to 09th September 2019 at a heterogeneous field (100 m x 16 m), located within the hummocky ground moraine landscape of northeastern Germany (CarboZALF-D). The field is foreseen for a longer-term block trial manipulation experiment extending over three erosion induced soil types and was covered with spring barley. Measured fluxes of nighttime ecosystem respiration (R-eco) and daytime net ecosystem exchange (NEE) showed distinct temporal patterns influenced by crop phenology, weather conditions and management practices. Similarly, we found clear small-scale spatial differences in cumulated (gap-filled) R-eco, gross primary productivity (GPP) and NEE fluxes affected by the three distinct soil types. Additionally, spatial patterns induced by former management practices and characterized by differences in soil pH and nutrition status (P and K) were also revealed between plots within each of the three soil types, which allowed compensating for prior to the foreseen block trial manipulation experiment. The results underline the great potential of the novel robotic chamber system, which not only detects short-term temporal CO2 flux dynamics but also reflects the impact of small-scale spatial heterogeneity. KW - Automatic chamber KW - Net ecosystem exchange (NEE) KW - Gross primary KW - productivity (GPP) KW - Ecosystem respiration (R-eco) KW - Soil erosion KW - Soil KW - heterogeneity Y1 - 2021 U6 - https://doi.org/10.1016/j.agrformet.2020.108206 SN - 0168-1923 SN - 1873-2240 VL - 296 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Rühlmann, Madlen A1 - Büchele, Dominique A1 - Ostermann, Markus A1 - Bald, Ilko A1 - Schmid, Thomas T1 - Challenges in the quantification of nutrients in soils using laser-induced breakdown spectroscopy BT - a case study with calcium JF - Spectrochimica Acta Part B: Atomic Spectroscopy N2 - The quantification of the elemental content in soils with laser-induced breakdown spectroscopy (LIBS) is challenging because of matrix effects strongly influencing the plasma formation and LIBS signal. Furthermore, soil heterogeneity at the micrometre scale can affect the accuracy of analytical results. In this paper, the impact of univariate and multivariate data evaluation approaches on the quantification of nutrients in soil is discussed. Exemplarily, results for calcium are shown, which reflect trends also observed for other elements like magnesium, silicon and iron. For the calibration models, 16 certified reference soils were used. With univariate and multivariate approaches, the calcium mass fractions in 60 soils from different testing grounds in Germany were calculated. The latter approach consisted of a principal component analysis (PCA) of adequately pre-treated data for classification and identification of outliers, followed by partial least squares regression (PLSR) for quantification. For validation, the soils were also characterised with inductively coupled plasma optical emission spectroscopy (ICP OES) and X-ray fluorescence (XRF) analysis. Deviations between the LIBS quantification results and the reference analytical results are discussed. KW - Laser-induced breakdown spectroscopy (LIBS) KW - Soil KW - Multivariate data analysis KW - Principal component analysis (PCA) KW - Partial least squares regression (PLSR) Y1 - 2018 U6 - https://doi.org/10.1016/j.sab.2018.05.003 SN - 0584-8547 VL - 146 SP - 115 EP - 121 PB - Elsevier CY - Oxford ER - TY - THES A1 - Büchele, Dominique T1 - Entwicklung einer robusten Online-Methode zur Bestimmung von Nährelementen in Ackerböden mit einem Energie-dispersiven RFA-Sensor N2 - Im Rahmen der vom Bundesministerium für Bildung und -forschung geförderten Forschungsinitiative „BonaRes – Boden als nachhaltige Ressource der Bioökonomie“ soll sich das Teilprojekt „I4S – integrated system for site-specific soil fertility management“ der Entwicklung eines integrierten Systems zum ortsspezifischen Management der Bodenfruchtbarkeit widmen. Hierfür ist eine Messplattform zur Bestimmung relevanter Bodeneigenschaften und der quantitativen Analyse ausgewählter Makro- und Mikronährstoffe geplant. In der ersten Phase dieses Projekts liegt das Hauptaugenmerk auf der Kalibrierung und Validierung der verschiedenen Sensoren auf die Matrix Boden, der Probennahme auf dem Acker und der Planung sowie dem Aufbau der Messplattform. Auf dieser Plattform sollen in der zweiten Phase des Projektes die verschiedenen Bodensensoren installiert, sowie Modelle und Entscheidungsalgorithmen zur Steuerung der Düngung und dementsprechend Verbesserung der Bodenfunktionen erstellt werden. Ziel der vorliegenden Arbeit ist die Grundlagenuntersuchung und Entwicklung einer robusten Online-Analyse mittels Energie-dispersiver Röntgenfluoreszenzspektroskopie (EDRFA) zur Quantifizierung ausgewählter Makro- und Mikronährstoffe in Böden für eine kostengünstige und flächendeckende Kartierung von Ackerflächen. Für die Entwicklung eines Online-Verfahrens wurde ein dem Stand der Technik entsprechender Röntgenfluoreszenzmesskopf in Betrieb genommen und die dazugehörigen Geräteparameter auf die Matrix Boden optimiert. Die Bestimmung der analytischen Qualitäts-merkmale wie Präzision und Nachweisgrenzen fand für eine Auswahl an Nährelementen von Aluminium bis Zink statt. Um eine möglichst Matrix-angepasste Kalibrierung zu erhalten, wurde sowohl mit zertifizierten Referenzmaterialien (CRM), als auch mit Ackerböden kalibriert. Da einer der größten Nachteile der Röntgenfluoreszenzanalyse die Beeinflussung durch Matrixeffekte ist, wurde neben der klassischen univariaten Datenauswertung auch die chemometrische multivariate Methode der Partial Least Squares Regression (PLSR) eingesetzt. Die PLSR bietet dabei den Vorteil, Matrixeffekte auszugleichen, wodurch robustere Kalibriermodelle erhalten werden können. Zusätzlich wurde eine Hauptkomponentenanalyse (PCA) durchgeführt, um Gemeinsamkeiten und Ausreißer innerhalb des Probensets zu identifizieren. Es zeigte sich, dass eine Klassifizierung der Böden anhand ihrer Textur Sand, Schluff, Lehm und Ton möglich ist. Aufbauend auf den Ergebnissen idealer Bodenproben (zu Tabletten gepresste luftgetrocknete Proben mit Korngrößen < 0,5 mm) wurde im Verlauf dieser Arbeit die Probenvorbereitung immer weiter reduziert und der Einfluss verschiedener Kenngrößen untersucht. Diese Einflussfaktoren können die Dichte und die Homogenität der Probe, sowie Korngrößeneffekte und die Feuchtigkeit sein. Anhand des RMSE (Wurzel der mittleren Fehlerquadratsumme) und unter Berücksichtigung der Residuen werden die jeweils erstellten Kalibriermodelle miteinander verglichen. Um die Güte der Modelle zu bewerten, wurden diese mit einem Testset validiert. Hierfür standen 662 Bodenproben von 15 verschiedenen Standorten in Deutschland zur Verfügung. Da die Ergebnisse an gepressten Tabletten für die Elemente Al, Si, K, Ca, Ti, Mn, Fe und Zn den Anforderungen für eine spätere Online-Analyse entsprechen, wurden im weiteren Verlauf dieser Arbeit Kalibriermodelle mit losen Bodenproben erstellt. Auch hier konnten gute Ergebnisse durch ausreichende Nachweisgrenzen und eine niedrige gemittelte Messabweichung bei der Vorhersage unbekannter Testproben erzielt werden. Es zeigte sich, dass die Vorhersagefähigkeit mit der multivariaten PLSR besser ist als mit der univariaten Datenauswertung, insbesondere für die Elemente Mn und Zn. Der untersuchte Einfluss der Feuchtigkeit und der Korngrößen auf die Quantifizierung der Elementgehalte war vor allem bei leichteren Elementen deutlich zu sehen. Es konnte schließlich eine multivariate Kalibrierung unter Berücksichtigung dieser Faktoren für die Elemente Al bis Zn erstellt werden, so dass ein Einsatz an Böden auf dem Acker möglich sein sollte. Eine höhere Messunsicherheit muss dabei einkalkuliert werden. Für eine spätere Probennahme auf dem Feld wurde zudem der Unterschied zwischen statischen und dynamischen Messungen betrachtet, wobei sich zeigte, dass beide Varianten genutzt werden können. Zum Abschluss wurde der hier eingesetzte Sensor mit einem kommerziell erhältlichen Hand-Gerät auf sein Quantifizierungspotential hin verglichen. Der Sensor weist anhand seiner Ergebnisse ein großes Potential als Online-Sensor für die Messplattform auf. Die Ergebnisse unter Laborbedingungen zeigen, dass eine robuste Analyse Ackerböden unter Berücksichtigung der Einflussfaktoren möglich ist. N2 - As part of the research initiative "BonaRes – soil as sustainable resource of the bioeconomy", funded by the Federal Ministry of Education and Research, the subproject I4S is responsible for the development of an integrated system for site-specific soil fertility management. For this purpose, a measuring platform for the determination of relevant soil properties and the quantitative analysis of selected macro- and micronutrients is planned. In the first part of this project, the focus will be on calibration and validation of different sensors on the matrix soil, sampling on the field as well as designing and construction of the measurement platform. In the second part of the project, the soil sensors were installed and models as well as decision making algorithms for the control of fertilization and corresponding improvement of soil functions were established. The aim of the present work is the investigation and development of a robust online-analysis with energy-dispersive X-ray fluorescence spectroscopy (EDXRF) for the quantification of selected macro- and micronutrients in soils for a low-cost and area-wide mapping of arable land. For the development of an online method, a state-of-the-art X-ray fluorescence sensor was launched, and the corresponding device parameters were optimized for the matrix soil. The determination of the analytical figures of merit such as precision and detection limit took place for a selection of nutrients Al, Si, P, S, K, Ca, Ti, Mn, Fe, Cu and Zn. In order to obtain a matrix-specific calibration, certified reference materials (CRM) as well as a selection of agricultural soils was used. Since one of the biggest disadvantages of X-ray fluorescence analysis is the influence of matrix effects, the multivariate method of partial least squares regression (PLSR) in addition to the classical univariate data analysis was applied. PLSR offers the advantage of compensating matrix effects, resulting in more robust calibration models. Furthermore, a principal component analysis (PCA) was performed to identify similarities and outliers within the sample set. A classification of the soils based on their texture sand, silt, loam and clay was possible. Based on the results of ideal soil samples: pelleted air-dried samples with particle sizes < 0.5 mm, the sample preparation was reduced, and the influence of different properties was investigated. These factors can be the density and homogeneity of the sample, as well as grain size and moisture. Based on the parameter RMSE and considering the residuals, the created calibration models were compared with each other. To evaluate the quality of the models, validation with a test set was done. For this purpose, 662 soil samples from 15 different locations in Germany were available. Since the results on pressed pellets for the elements Al, Si, K, Ca, Ti, Mn, Fe and Zn correspond to the requirements for later online-analysis, further calibration models with loose soil samples were prepared. Again, good results could be achieved with sufficient detection limits and a low mean error in the prediction of unknown test samples. The predictive capability of the multivariate PLSR is better than that of the univariate data analysis, especially for the elements Mn and Zn. The influence of moisture and grain sizes on the quantification of elemental contents is clearly visible, especially for lighter elements. A multivariate calibration for the elements Si to Zn was possible, so that it is possible to measure soils in the field. A higher measurement uncertainty must be considered. For any subsequent sampling on the field, the difference between static and dynamic measurements was also considered showing that both variants could be used. Finally, the used sensor was compared with a commercially available handheld device for its quantification potential. Based on the results, the sensor has great potential as an online-sensor on the platform. The results under laboratory conditions show that the robust analysis of arable soils is possible considering the influencing factors. T2 - Development of a robust online-method for determination of nutrients in agricultural soils using an EDXRF-sensor KW - Chemometrie KW - Boden KW - RFA KW - PCA KW - PLSR KW - ICP-OES KW - Nährelemente KW - Soil KW - Chemometrics KW - Nutrients KW - XRF KW - PCA KW - PLSR KW - ICP-OES Y1 - 2020 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-483735 ER - TY - JOUR A1 - Maass, Stefanie A1 - Daphi, Daniel A1 - Lehmann, Anika A1 - Rillig, Matthias C. T1 - Transport of microplastics by two collembolan species JF - Environmental pollution N2 - Plastics, despite their great benefits, have become a ubiquitous environmental pollutant, with micro-plastic particles having come into focus most recently. Microplastic effects have been intensely studied in aquatic, especially marine systems; however, there is lack of studies focusing on effects on soil and its biota. A basic question is if and how surface-deposited microplastic particles are transported into the soil. We here wished to test if soil microarthropods, using Collembola, can transport these particles over distances of centimeters within days in a highly controlled experimental set-up. We conducted a fully factorial experiment with two collembolan species of differing body size, Folsomia candida and Proisotoma minuta, in combination with urea-formaldehyde particles of two different particle sizes. We observed significant differences between the species concerning the distance the particles were transported. F. candida was able to transport larger particles further and faster than P. minuta. Using video, we observed F candida interacting with urea-formaldehyde particles and polyethylene terephthalate fibers, showing translocation of both material types. Our data clearly show that microplastic particles can be moved and distributed by soil microarthropods. Although we did not observe feeding, it is possible that microarthropods contribute to the accumulation of microplastics in the soil food web. (C) 2017 Elsevier Ltd. All rights reserved. KW - Microplastics KW - Soil KW - Collembolans KW - Transport KW - Pollution Y1 - 2017 U6 - https://doi.org/10.1016/j.envpol.2017.03.009 SN - 0269-7491 SN - 1873-6424 VL - 225 SP - 456 EP - 459 PB - Elsevier CY - Oxford ER - TY - JOUR A1 - Schulz, Katharina A1 - Voigt, Karsten A1 - Beusch, Christine A1 - Almeida-Cortez, Jarcilene S. A1 - Kowarik, Ingo A1 - Walz, Ariane A1 - Cierjacks, Arne T1 - Grazing deteriorates the soil carbon stocks of Caatinga forest ecosystems in Brazil JF - Forest ecology and management N2 - Grazing by domestic ungulates can have substantial impacts on forests in arid and semi-arid regions, possibly including severe loss of carbon from the soil. Predicting net livestock impacts on soil organic carbon stocks remains challenging, however, due to the dependence on animal loads and on soil and environmental parameters. The objective of this study was to better understand grazing effects on soil organic carbon in seasonal tropical dry forests of north-eastern Brazil (Caatinga) by quantifying carbon stocks of the upper soil profile (0–5 cm depth) and greater soil depths (>5 cm depth down to bedrock) along a gradient of grazing intensity while accounting for other influencing factors such as soil texture, vegetation, landscape topography, and water availability. We analysed soil organic carbon, soil clay content, altitude above sea level, soil depth to bedrock, distance to the nearest permanent water body, species diversity of perennial plants and aboveground biomass on 45 study plots located in the vicinity of the Itaparica Reservoir, Pernambuco, Brazil. Livestock (mainly goats and cattle) are unevenly distributed in the studied ecosystem, thus grazing intensity was accounted for based on the weight of livestock droppings per square metre and classified as no or light, intermediate, or heavy grazing. The mean soil organic carbon in the area was 16.86 ± 1.28 Mg ha−1 C with approximately one-quarter found in the upper 5 cm of the soil profile (4.14 ± 0.43 Mg ha−1 C) and the remainder (12.57 ± 0.97 Mg ha−1 C) in greater soil depths (>5 cm). Heavy grazing led to significantly lower soil organic carbon stocks in the upper 5 cm, whereas no effect on soil organic carbon of the soil overall or in greater soil depths was detectable. The soil’s clay content and the altitude proved to be the most relevant factors influencing overall soil organic carbon stocks and those in greater soil depths (>5 cm). Our findings suggest that grazing causes substantial release of carbon from Brazilian dry forest soils, which should be addressed through improved grazing management via a legally compulsory rotation system. This would ultimately contribute to the conservation of a unique forest system and associated ecosystem services. KW - Carbon cycle KW - Degradation KW - Desertification KW - Livestock KW - Semi-arid KW - Soil Y1 - 2016 U6 - https://doi.org/10.1016/j.foreco.2016.02.011 SN - 0378-1127 SN - 1872-7042 VL - 367 SP - 62 EP - 70 PB - Elsevier CY - Amsterdam ER - TY - JOUR A1 - Aichner, Bernhard A1 - Bussian, Bernd M. A1 - Lehnik-Habrink, Petra A1 - Hein, Sebastian T1 - Regionalized concentrations and fingerprints of polycyclic aromatic hydrocarbons (PAHs) in German forest soils JF - Environmental pollution N2 - Samples of 474 forest stands in Germany were analysed for concentrations of polycyclic aromatic hydrocarbons (PAHs) in three sampling depths. Enhanced concentrations were mainly found at spots relatively close to densely industrialized and urbanized regions and at some topographically elevated areas. Average enrichment factors between mineral soil and humic layer depend on humus type i.e. decrease from mull via moder to more Based on their compound-patterns, the observed samples could be assigned to three main clusters. For some parts of our study area a uniform assignment of samples to clusters over larger regions could be identified. For instance, samples taken at vicinity to brown-coal strip-mining districts are characterized by high relative abundances of low-molecular-weight PAHs. These results suggest that PAHs are more likely originated from local and regional emitters rather than from long-range transport and that specific source-regions can be identified based on PAH fingerprints. (C) 2015 Elsevier Ltd. All rights reserved. KW - Organic pollutants KW - PAHs KW - Soil KW - Emissions KW - Long-range transport KW - Enrichment factor KW - Humic layer KW - Mineral soil KW - O horizon Y1 - 2015 U6 - https://doi.org/10.1016/j.envpol.2015.03.026 SN - 0269-7491 SN - 1873-6424 VL - 203 SP - 31 EP - 39 PB - Elsevier CY - Oxford ER - TY - THES A1 - Kobabe, Svenja T1 - Charakterisierung der mikrobiellen Lebensgemeinschaft eines sibirischen Permafrostbodens T1 - Characterisation of microbial community composition of a Siberian tundra soil N2 - Die vorliegende Arbeit wurde im Rahmen des multidisziplinären Deutsch-Russischen Verbundprojektes "Laptev See 2000" erstellt. Die dargestellten bodenkundlichen und mikro-biologischen Untersuchungen verfolgten das Ziel die mikrobielle Lebensgemeinschaft eines Permafrostbodens im sibirischen Lena Delta zu charakterisieren, wobei den methanogenen Archaea besondere Beachtung zukam. Die Probennahme wurde im August 2001 im zentralen Lenadelta, auf der Insel Samoylov durchgeführt. Das Delta liegt im Bereich des kontinuierlichen Permafrostes, was bedeutet, dass nur eine flache saisonale Auftauschicht während der Sommermonate auftaut. Das untersuchte Bodenprofil lag im Zentrum eines für die Landschaft repräsentativen Low Center Polygons. Zum Zeitpunkt der Beprobung betrug die Auftautiefe des untersuchten Bodens 45 cm.. Der Wasserstand lag zum Untersuchungszeitpunkt 18 cm unter der Geländeoberfläche, so dass alle tiefer liegenden Horizonte durch anaerobe Verhältnisse charakterisiert waren. Die Untersuchung der bodenkundlichen Parameter ergab unter anderem eine mit zunehmender Tiefe abnehmende Konzentration von Kohlenstoff und Stickstoff, sowie eine Abnahme von Temperatur und Wurzeldichte. Um die Auswirkungen der sich mit der Tiefe verändernden Bodeneigenschaften auf die Mikroorganismen zu ermitteln, wurden die Mikroorganismenpopulationen der verschiedenen Bodentiefen mit Hilfe der Fluoreszenz in situ Hybridisierung hinsichtlich ihrer Anzahl, Aktivität und Zusammensetzung beschrieben. Für die Charakterisierung des physiologischen Profils dieser Gemeinschaften, bezüglich der von ihr umsetzbaren Kohlenstoffverbindungen, wurden BIOLOG Mikrotiterplatten unter den in situ Bedingungen angepassten Bedingungen eingesetzt. Die sich im Profil verändernden Bodenparameter, vor allem die abnehmende Substratversorgung, die geringe Temperatur und die anaeroben Verhältnisse in den unteren Bodenschichten führten zu einer Veränderung der Mikroorganismenpopulation im Bodenprofil. So nahm von oben nach unten die Gesamtanzahl der ermittelten Mikroorganismen von 23,0 × 108 auf 1,2 × 108 Zellen g-1 ab. Gleichzeitig sank der Anteil der aktiven Zellen von 59% auf 33%. Das bedeutet, dass im Bereich von 0-5 cm 35mal mehr aktive Zellen g-1 als im Bereich von 40-45 cm gefunden wurden. Durch den Einsatz spezieller rRNS-Sonden konn-te zusätzlich eine Abnahme der Diversität mit zunehmender Bodentiefe nachgewiesen werden. Die geringere Aktivität der Population in den unteren Horizonten sowie die Unterschiede in der Zusammensetzung wirkten sich auf den Abbau der organischen Substanz aus. So wur-den die mit Hilfe der BIOLOG Mikrotiterplatten angebotenen Substanzen in größerer Tiefe langsamer und unvollständiger abgebaut. Insbesondere in den oberen 5 cm konnten einige der angebotenen Polymere und Kohlehydrate deutlich besser als im restlichen Profil umge-setzt werden. Das außerdem unter anaeroben Versuchsbedingungen diese Substrate deutlich schlechter umgesetzt wurden, kann so interpretiert werden, dass die konstant anaeroben Bedingungen in den unteren Horizonten ein Auftreten der Arten, die diese Substrate umset-zen, erschweren. Die in den oberen, aeroben Bodenabschnitten wesentlich höheren Zellzahlen und Aktivitäten und die dadurch schnellere C-Umsetzung führen auch zu einer besseren Substratversorgung der methanogenen Archaea in den makroskopisch aeroben Horizonten. Die erhöhte Substratverfügbarkeit erklärt die Tatsache, dass im Bereich von 0-5 cm die meisten methanogenen Archaea gefunden wurden, obwohl sich dieser Bereich zum Zeitpunkt der Probennahme oberhalb des wassergesättigten Bodenbereichs befand. Trotz der aeroben Bedingungen in, liegt im Bereich von 5 10 cm die für die methanogenen Archaea am besten geeignete Kombination aus Substratangebot und anaeroben Nischen vor. Hinzu kommt, dass in diesen Tiefen die Sommertemperaturen etwas höher liegen als in den tieferen Horizonten, was wiederum die Aktivität positiv beeinflusst. Bei zusammenfassender Betrachtung der Untersuchungsergebnisse von Anzahl, Aktivität, Zusammensetzung und Leistung der gesamten, aber im besonderen auch der methanogenen Mikroorganismenpopulation wird deutlich, dass in dem untersuchten Bodenprofil unter ökologischen Gesichtspunkten die oberen 15-20 cm den für den C-Umsatz relevantesten Bereich darstellen. Das Zusammenspiel wichtiger Bodenparameter wie Bodentemperatur, Wasserstand, Nährstoffversorgung und Durchwurzelung führt dazu, dass in dem untersuchten Tundraboden in den oberen 15-20 cm eine wesentlich größere und diversere Anzahl an Mikroorganismen existiert, die für einen schnelleren und umfassenderen Kohlenstoffumsatz in diesem Bereich des active layers sorgt. N2 - The soil characteristics and the bacterial community of the active layer (0-45 cm) of a permafrost affected tundra soil were analysed. The composition of the bacterial community was investigated by fluorescence in situ hybridisation (FISH) while BIOLOG Ecoplates were used to characterize microbial communities by determining the ability of the communities to oxidize various carbon sources. Arctic tundra soils contain large amounts of organic carbon, accumulated in thick soil layers and are known as a major sink of atmospheric CO2. These soils are totally frozen throughout the year and only a thin active layer is unfrozen and shows biological activity during the short summer. To improve the understanding of how the carbon fluxes in the active layer are controlled, detailed analysis of composition, functionality and interaction of soil microorganisms was done. The FISH analyses of the active layer showed large variations in absolute cell numbers and in the composition of the active microbial community between the different horizons, which is caused by the different environmental conditions (e.g. soil temperature, amount of organic matter, aeration) in this vertically structured ecosystem. Results obtained by universal protein stain 5-(4,6-dichlorotriazin-2-yl)aminofluorescein (DTAF) showed an exponential decrease of total cell counts from the top to the bottom of the active layer (2.3 × 109 to 1.2 × 108 cells per g dry soil). By using FISH, up to 59% of the DTAF-detected cells could be detected in the surface horizon, and up to 84% of these FISH-detected cells could be affiliated to a known phylogenetic group. With increasing depth the amount of FISH-detectable cells decreased as well as the diversity of ascertained phylogenetic groups. The turnover of substrates offered on the BIOLOG Ecoplates was slower and less complete in the deeper soil horizons. Especially in the upper 5 cm the turnover of some of the polymeric substances and some carbohydrates was much better than in deeper parts of the soil. The interaction of important soil parameters (water table, nutrient availability, roots) leads to a larger and more diverse community in the upper 20 cm of the soil, which again cause a faster and more complete turnover in this part of the active layer. KW - Mikrobiologie KW - Angewandte Mikrobiologie KW - Bodenmikrobiologie KW - Methanemission KW - Dauerfrostboden KW - Sibirien KW - Fluoreszenz-in-situ-Hybridisierung KW - Len KW - Microbiology KW - Soil KW - methane KW - Siberia Y1 - 2005 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus-5467 ER -