A5065698378- Soil erosion and sediment transport
- Soil Geostatistics and Mapping
- Soil Carbon and Nitrogen Dynamics
- Ecology and Vegetation Dynamics Studies
- Soil and Unsaturated Flow
- Geology and Paleoclimatology Research
- Biocrusts and Microbial Ecology
- Climate change and permafrost
- Plant Water Relations and Carbon Dynamics
- Geochemistry and Geologic Mapping
- Hydrology and Watershed Management Studies
- Aeolian processes and effects
- Tree-ring climate responses
- Forest ecology and management
- Lichen and fungal ecology
- Peatlands and Wetlands Ecology
- Hydrology and Sediment Transport Processes
- Cryospheric studies and observations
- Climate variability and models
- Archaeology and ancient environmental studies
- Landslides and related hazards
- Soil and Land Suitability Analysis
- Remote Sensing in Agriculture
- Microbial Community Ecology and Physiology
- Image Processing and 3D Reconstruction
University of Tübingen
2016-2025
TH Bingen University of Applied Sciences
2013-2024
Ardakan University
2024
Bernstein Center for Computational Neuroscience Tübingen
2019-2024
BOKU University
2024
Kiel University
2022
Clausthal University of Technology
2020
Swiss Federal Institute for Forest, Snow and Landscape Research
2018
University of Twente
2017
University of Freiburg
2011
Tree diversity improves forest productivity Experimental studies in grasslands have shown that the loss of species has negative consequences for ecosystem functioning. Is same true forests? Huang et al. report first results from a large biodiversity experiment subtropical China. The study combines many replicates, realistic tree densities, and plot sizes with wide range richness levels. After 8 years experiment, findings suggest strong positive effects on carbon accumulation. Thus, changing...
Forest ecosystems are an integral component of the global carbon cycle as they take up and release large amounts C over short time periods (C flux) or accumulate it longer stock). However, there remains uncertainty about whether in which direction fluxes particular stocks may differ between forests high versus low species richness. Based on a comprehensive dataset derived from field-based measurements, we tested effect richness (3-20 tree species) stand age (22-116 years) six compartments...
Summary Biodiversity–ecosystem functioning ( BEF ) experiments address ecosystem‐level consequences of species loss by comparing communities high richness with from which have been gradually eliminated. originally started microcosms in the laboratory and grassland ecosystems. A new frontier experimental research is manipulating tree diversity forest ecosystems, compelling researchers to think big comprehensively. We present discuss some major issues be considered design trees illustrate...
Human-induced biodiversity change impairs ecosystem functions crucial to human well-being. However, the consequences of this for multifunctionality are poorly understood beyond effects plant species loss, particularly in regions with high across trophic levels. Here we adopt a multitrophic perspective analyze how affects biodiverse subtropical forests. We consider 22 independent measurements nine central energy and nutrient flow find that individual more strongly affected by diversity...
As a mountainous country, Nepal is most susceptible to precipitation extremes and related hazards, including severe floods, landslides droughts that cause huge losses of life property, impact the Himalayan environment, hinder socioeconomic development country. Given countrywide assessment such still lacking, we present comprehensive picture prevailing observed across Nepal. First, spatial distribution daily extreme indices as defined by Expert Team on Climate Change Detection, Monitoring...
Estimation of the soil organic carbon (SOC) content is utmost importance in understanding chemical, physical, and biological functions soil. This study proposes machine learning algorithms support vector machines (SVM), artificial neural networks (ANN), regression tree, random forest (RF), extreme gradient boosting (XGBoost), conventional deep network (DNN) for advancing prediction models SOC. Models are trained with 1879 composite surface samples, 105 auxiliary data as predictors. The...
Considering agroecosystem multifunctionality is essential for designing sustainable cropping systems.
Abstract It has been shown that reactive soil minerals, specifically iron(III) (oxyhydr)oxides, can trap organic carbon in soils overlying intact permafrost, and may limit mobilization degradation as it is observed other environments. However, the use of iron(III)-bearing minerals terminal electron acceptors permafrost environments, thus their stability capacity to prevent during thaw, poorly understood. We have followed dynamic interactions between iron using a space-for-time approach...
Understanding the spatial distribution of soil organic carbon (SOC) content over different climatic regions will enhance our knowledge gains and losses due to change. However, little is known about SOC in contrasting arid sub-humid Iran, whose complex SOC–landscape relationships pose a challenge analysis. Machine learning (ML) models with digital mapping framework can solve such relationships. Current research focusses on ensemble ML increase accuracy prediction. The usual method boosting or...
Land suitability assessment is essential for increasing production and planning a sustainable agricultural system, but such information commonly scarce in the semi-arid regions of Iran. Therefore, our aim to assess land two main crops (i.e., rain-fed wheat barley) based on Food Agriculture Organization (FAO) “land framework” 65 km2 Kurdistan province, Soil samples were collected from genetic layers 100 soil profiles physical-chemical properties analyzed. Topography climate data also...
Abstract In the context of a growing demand high‐resolution spatial soil information for environmental planning and modeling, fast accurate prediction methods are needed to provide high‐quality digital maps. Thus, this study focuses on development methodology based artificial neural networks (ANN) that is able spatially predict units. Within test area in Rhineland‐Palatinate (Germany), covering an about 600 km 2 , map was predicted. Based feed‐forward ANN with resilient backpropagation...
Subtropical broad-leaved forests in southeastern China support a high diversity of woody plants. Using comparative study design with 30 × m plots (n = 27) from five successional stages (<20, <40, <60, <80, and ≥80 yr), we investigated how the gradient species composition reflects underlying processes community assembly. In particular, tested whether richness adult trees shrubs decreased or increased assessed to which degree this pattern was caused by negative density dependence continuous...
Abstract We investigated the main parameters [e.g. mean annual air temperature , soil temperature, precipitation, moisture (SM), chemistry, and physics] influencing organic carbon (C org ), total nitrogen (N t ) as well plant available min at 47 sites along a 1200 km transect across high‐altitude low‐latitude permafrost region of central‐eastern Tibetan Plateau. This large‐scale survey allows testing hypothesis that beside commonly used ecological variables, diversity pedogenesis is another...
Abstract Naturally occurring wetting‐and‐drying cycles often enhance aggregation and give rise to a stable soil structure. In comparatively dry regions, such as large areas of Australia, organic‐matter (OM) contents in topsoils arable land are usually small. Therefore, the effects wetting drying almost solely reliant on clay content. To investigate relations between cycles, aggregation, content, OM Australian environment, an experiment was set up determine relative influence both content...
Abstract. Climate warming is expected to induce treelines advance higher elevations. Empirical studies in diverse mountain ranges, however, give evidence of both advancing alpine and rather insignificant responses. The inconsistency findings suggests distinct differences the sensitivity global recent climate change. It still unclear where Himalayan treeline ecotones are located along response gradient from rapid dynamics apparently complete inertia. This paper reviews current state knowledge...
This study tested the hypothesis that soil organic carbon (SOC) and total nitrogen (TN) spatial distributions show clear relationships with properties vegetation composition as well climatic conditions. Further, this aimed to find corresponding controlling parameters of SOC TN storage in high-altitude ecosystems. The was based on soil, climate data from 42 pits taken 14 plots. plots were investigated during summers 2009 2010 at northeastern margin Qinghai–Tibetan Plateau. Relationships...
Summary This study introduces a hybrid spatial modelling framework, which accounts for non‐stationarity, autocorrelation and environmental correlation. A set of geographic spatially autocorrelated Euclidean distance fields (EDF) was used to provide additional relevant predictors the covariates commonly mapping. The approach in combination with machine‐learning methods, so we called method (EDM). provides advantages over other prediction methods that integrate dependence state factor models,...