A5036557943- Land Use and Ecosystem Services
- Climate change impacts on agriculture
- Greenhouse Technology and Climate Control
- Species Distribution and Climate Change
- Sustainable Agricultural Systems Analysis
- Soil Carbon and Nitrogen Dynamics
- Plant Water Relations and Carbon Dynamics
- Agricultural Economics and Policy
- Agriculture Sustainability and Environmental Impact
- Aeolian processes and effects
- Mosquito-borne diseases and control
- Remote Sensing in Agriculture
- Botany and Plant Ecology Studies
- Ecology, Conservation, and Geographical Studies
- Soil Geostatistics and Mapping
- Horticultural and Viticultural Research
- demographic modeling and climate adaptation
- History and advancements in chemistry
- Computational Drug Discovery Methods
- Rangeland Management and Livestock Ecology
- Crop Yield and Soil Fertility
- Coastal and Marine Dynamics
- Sustainability and Ecological Systems Analysis
- Urban Heat Island Mitigation
- Soil erosion and sediment transport
Leibniz Centre for Agricultural Landscape Research
2015-2024
Humboldt-Universität zu Berlin
2020
Leipzig University of Applied Sciences
1990
Abstract Knowledge of hydraulic functions is required for various hydrological and plant‐physiological studies. The evaporation method frequently used the simultaneous determination unsaturated soil samples, i.e. , water‐retention curve hydraulic‐conductivity function. All methodic variants suffer from limitation that can only be determined to a mean tension ≈ 60 kPa. This caused by limited measurement range tensiometers typically 80 kPa on dry end. We present new, cost‐ time‐saving approach...
Decisions for agricultural management are taken at farm scale. However, such decisions may well impact upon regional sustainability. Two of the likely responses to future challenges extended use irrigation and increased production energy crops. The drivers these high commodity prices subsidy policies renewable energy. impacts sustainability unknown. Thus, we conducted integrated assessments intensification scenarios in federal state Brandenburg, Germany, 2025. One Irrigation scenario one...
Land degradation occurs in all kinds of landscapes over the world, but drivers land vary from region to region. Identifying these at appropriate spatial scale is an essential prerequisite for developing and implementing area-specific policies. In this study, we investigate nine different driving factors three categories: human disturbance, water condition, urbanisation. Using partial order theory Hasse diagram technique, analyse temporal dynamics identify major county level Xilingol League,...
Abstract. Machine learning (ML) and data-driven approaches are increasingly used in many research areas. Extreme gradient boosting (XGBoost) is a tree method that has evolved into state-of-the-art approach for ML challenges. However, it rarely been simulations of land use change so far. Xilingol, typical region on serious grassland degradation its drivers, was selected as case study to test whether XGBoost can provide alternative insights conventional land-use models unable generate. A set...
Forest microclimate can buffer biotic responses to summer heat waves, which are expected become more extreme under climate warming. Prediction of forest is limited because meteorological observation standards seldom include situations inside forests. We use eXtreme Gradient Boosting ‒ a Machine Learning technique predict the sites in Brandenburg, Germany, using seasonal data comprising weather features. The analysis was amended by applying SHapley Additive explanation show interaction effect...
We tested four machine learning methods for their performance in the classification of mosquito species occurrence related to weather variables: support vector machine, random forest, logistic regression and decision tree. The objective was find a method which showed most accurate model prediction potential geographical distribution Aedes japonicus japonicus, an invasive Germany. evaluation trainings conducted using derivations confusion matrix. Furthermore, we introduced two quality...
The Asian bush mosquito Aedes japonicus is an invasive species native to East Asia and has become established in North America Europe. On both continents, the spread over wide areas. Since it a potential vector of human livestock pathogens, distribution dissemination maps are urgently needed implement targeted surveillance control case disease outbreaks. Previous models for Europe Germany particular focused on climate data. Until now, effects other environmental variables such as land use...
Besides invasive mosquito species also several native are proven or suspected vectors of arboviruses as West Nile Usutu virus in Western Europe. Habitat models these can be a helpful tool for assessing the risk autochthonous occurrence, outbreaks and spread diseases caused by such arboviruses. Modelling mosquitoes is complicated because perfect adaptation to climatic landscape conditions their high abundance contrast species. Here we present new approach habitat model Germany, which...
The effects of land cover configuration on surface temperature (LST) have been extensively documented. However, few studies examined the woody features and their LST in agricultural landscapes. A study was conducted Brandenburg, Germany to examine potential impacts small (SWF) adjacent areas. High-resolution maps at regional scale, together with remotely sensed proxies vegetation conditions (such as topography crop types), were used quantify impact SWFs gradient different distances during...