- Topic:Water and matter cycles
Using stable water isotopes to understand ecohydrological partitioning under contrasting land uses in a drought-sensitive rural, lowland catchment
To analyse the influence of vegetation on water partitioning under land management strategies, the authors used stable water isotopes with contrasting land covers and soil types in the Demnitzer Millcreek. The study underlined the need for long-term observations of land use changes and drought-sensitive vegetation to evolve a drought resilient land management considering time lags.
Dynamics in impervious urban and non-urban areas and their effects on run-off, nutrient emissions, and macroinvertebrate communities
About 20 % of the newly sealed area is not in urban areas, but in rural areas, according to the model calculations of this study. Calculations of nutrient fluxes into water bodies have not taken these new sealings in rural areas into account, because these are often based on land use maps and consider urban areas. As a result, the nutrient loads of water bodies are systematically underestimated.
The role of boundary mixing for diapycnal oxygen fluxes in a stratified marine system
The research team investigated the vertical oxygen flux through the halocline in the Baltic Sea using high-resolution temperature and oxygen profiles during different seasons. Oxygen transport showed a strong seasonality and was higher in autumn compared to summer and winter. The shoreline regions were responsible for >80% of the total oxygen transport through the halocline.
Formation of vivianite in digested sludge and its controlling factors in municipal wastewater treatment
Phosphorus as scare raw material can be recovered from municipal wastewater treatment as iron phosphate mineral vivianite. Vivianite formation increased with higher iron and lower sulphur content. The study suggests that the use of sulphur-free precipitants for chemical P elimination may enhance vivianite formation. The new insights are also of high relevance for the research on aquatic sediments.
Fate of trace organic compounds in the hyporheic zone: influence of microbial metabolism
The authors investigated the influence of microbial processes on the fate of trace organic compounds in stream sediments. The study demonstrates the usefulness of the fluorescent tracer system resazurin-resorufin for determining microbial metabolism and disentangling specific reactive properties and ultimately their influence on the fate of contaminants in natural hyporheic zones.
Spatial and temporal dynamics of water isotopes in the riverine-marine mixing zone along the German Baltic Sea coast
The spatial and temporal variability of stable water isotopes were investigated in the Schlei and in the Baltic Sea boddens. The data improve the understanding of hydrological processes behind those dynamics. Further they will be a helpful contribution to multiple IGB projects, e.g. in context of migration studies of pike and analysis of biochemical processes in macrophytes
The LOTUS initiative for open knowledge management in natural products research
Scientists integrated data about natural chemical compounds and the organisms they have been documented in, provided literature references and exposed the information both as a stand-alone database and via Wikidata.The database enables queries that relate natural chemical compounds to the taxa they have been found in and the literature documenting the evidence.
Organizational principles of hyporheic exchange flow and biogeochemical cycling in river networks across scales
Understanding organizational principles of hyporheic exchange flow and biogeochemical cycling in landscapes is key for generalizing process knowledge.
Dynamics of greenhouse gases (CH4 and CO2) in meromictic Lake Burgsee, Germany
At its deepest point, Lake Burgsee has one of the highest methane concentrations ever measured in a natural freshwater lake.
A hybrid empirical and parametric approach for managing ecosystem complexity: water quality in Lake Geneva under nonstationary futures
A hybrid model which combines a classical 1D lake model with data-driven machine learning was used to predict changes in deepwater oxygen concentrations under varying climatic conditions and nutrient concentrations. The model predicted deepwater oxygen concentrations of Lake Geneva more precisely than a classical approach. Increasing air temperatures have similar effects as phosphorus inputs.