A5088360311- Soil Carbon and Nitrogen Dynamics
- Soil Geostatistics and Mapping
- Geochemistry and Geologic Mapping
- Soil and Water Nutrient Dynamics
- Isotope Analysis in Ecology
- Geology and Paleoclimatology Research
- Peatlands and Wetlands Ecology
- Heavy metals in environment
- Soil and Unsaturated Flow
- Fire effects on ecosystems
- Tree Root and Stability Studies
- Spectroscopy and Chemometric Analyses
- Clay minerals and soil interactions
- Soil erosion and sediment transport
- Atmospheric and Environmental Gas Dynamics
- Coal and Its By-products
- Agriculture Sustainability and Environmental Impact
- Geophysical Methods and Applications
- Marine and environmental studies
- Advanced Neuroimaging Techniques and Applications
- Hate Speech and Cyberbullying Detection
- Agriculture, Soil, Plant Science
- Aeolian processes and effects
- Plant Ecology and Soil Science
- Spectroscopy Techniques in Biomedical and Chemical Research
Technical University of Munich
2016-2023
University of Hagen
2022
Johann Heinrich von Thünen-Institut
2019
University of New England
2015-2016
University of Newcastle Australia
2013-2014
Technische Universität Berlin
2005
Abstract Subsurface soil organic carbon ( SOC ) is a large but still poorly understood component of the global cycle. We investigated depth distribution in eastern Australia, testing hypotheses that content near surface linked with water availability, whereas land use, site factors and temperature. To do this, we measured concentration to 1 m at 100 sites across fitted three parameter exponential depletion models results. Three machine learning algorithms were used identify predictors...
This study gives an overview of soil organic carbon (SOC) stocks in Germany's agricultural soils, and quantifies explains the influence explanatory variables such as land use management, type climate. Over 2500 sites were sampled their SOC determined, together with other properties. Machine‐learning algorithms used to identify most important variables. Land use, land‐use history, clay content electrical conductivity main predictors topsoil, whereas bedrock material, relief governed variation...
Agricultural management can influence soil organic carbon (SOC) stocks and thus may contribute to sequestration climate change mitigation. The depth which agricultural practices affect SOC is uncertain. Soil have an important bearing on dynamics, so it consider effects capture fully changes in stocks. This applies particular the evaluation of farming measures, are becoming increasingly due change. We sampled analysed upper metre mineral cropland soils from ten long-term experiments (LTEs)...
Abstract Subsoils contain large amounts of organic carbon which is generally believed to be highly stable when compared with surface soils. We investigated subsurface storage and dynamics by analysing concentrations, fractions isotopic values in 78 samples from 12 sites under different land‐uses climates eastern Australia. Despite radiocarbon ages several millennia subsoils, contrasting native systems agriculturally managed revealed that reactive on decadal timeframes land‐use change, leads...
Abstract Subsoil organic carbon (OC) is generally lower in content and more heterogeneous than topsoil OC, rendering it difficult to detect significant differences subsoil OC storage. We tested the application of laboratory hyperspectral imaging with a variety machine learning approaches predict distribution undisturbed soil cores. Using bias-corrected random forest we were able reproduce cores very good excellent model goodness-of-fit, enabling us map spatial at high resolution (~53 × 53...
Crop production often leads to soil organic carbon (SOC) losses. However, under good management practice it is possible maintain and even re-accumulate SOC. We evaluated how different cropland techniques affected SOC stocks in the topsoil (0–30 cm depth) of 10 long-term experiments (LTE) Germany. found that were particularly enhanced by mineral fertilization amendments like straw incorporation a smaller degree irrigation, but only slightly choice preceding crops. In agreement with global...
Summary Vis–NIR spectroscopy is a low‐cost method for proximal soil sensing, enabling rapid analysis of texture as an alternative to more laborious analytical methods. In this study we used partial least squares regression (PLSR) and random forest (RF) models trained on vis–NIR spectra 173 samples from across Germany estimate sand (63–2000 µm), silt (2–63 µm) clay (< 2 contents. Models were with different spectral processing Texture was also estimated by averaging results calculating each...
Both aggregation and mineral association have been previously found to enhance soil organic carbon (SOC) storage (the amount of C retained in a soil), stability length time is soil). These mechanisms are therefore attractive targets for sequestration. In this study, we investigate compare SOC associated with fine minerals stored within aggregates using combination particle-size fractionation, elemental analysis radiocarbon dating. heavy-textured, highly aggregated soil, was be preferentially...
Summary This study uses diffuse reflectance infrared F ourier T ransform ( DRIFT ) spectrometry and field emission scanning electron microscopy to investigate the vertical distribution of charcoal in a sandy soil from SE A ustralia. The was sampled bedrock (120 cm) at varying depths bulk samples were fractionated into three particle‐sizes: macro‐ (2000–200 µm), micro‐ (200–60 µm) mineral‐associated organic matter MAOM , < 60 µm). Charcoal isolated 0–30 30–60‐cm depths. Soil detected by...
Abstract The Food and Agriculture Organization considers around a quarter of global land to be degraded. Of particular concern are threats soils in water‐limited regions, which critical food economic security countries across the globe but under increasing pressure due human use climatic forcing. These have been used feed provide resources services societies for millennia, with earliest land‐uses dating back prehistoric times. With adoption modern, frequently unsuitable agricultural...
Abstract Electromagnetic induction ( EMI ) data are often used to investigate spatial and temporal patterns of soil texture, water content salinity. We hypothesized that the methodology might thus also offer potential detect agricultural legacy effects originating from fertilizer application irrigation different fields. Therefore, we performed measurements on two long‐term field experiments LTFE at Thyrow near Berlin (Germany) differed in management with regard combination mineral NPK lime)...
Despite strong evidence for the importance of charcoal as a long-term carbon sink in soils, simple methods to quantify soil are still lacking. In this study, we tested application attenuated total reflectance mid-infrared spectroscopy (ATR-MIR) quantification soil. To do this, created calibration samples from defined quantities pulverised rock, and litter sampled forest floor Guy Fawkes National Park, New South Wales, Australia, analysed them via ATR-MIR dry combustion. The organic...
Despite recent advances in machine learning based hate speech detection, classifiers still struggle with generalizing knowledge to out-of-domain data samples. In this paper, we investigate the generalization capabilities of deep models different target groups under clean experimental settings. Furthermore, assess efficacy three strategies unsupervised domain adaptation improve these capabilities. Given diversity and its rapid dynamics online world (e.g. evolution new like virologists during...