With Knowledge Comes Responsibility: Increasing Conservation Scientists’ Impact in a Time of Global Crises
Development of a New Generic AI Model for Spatio-Temporal Prediction of Soil Moisture and Soil Water Isotopes
The overlooked conservation values of saline lakes
High-Resolution Regional Atmospheric Simulation of Precipitation and Isotopes in Central America
The authors used an isotope-enabled spectral model to improve the simulation of precipitation and its isotopic composition over Costa Rica to assess the feasibility of using atmospheric model outputs as forcing data for ecohydrological models. When simulating long-term hydrological processes the model outputs provide a reliable source of forcing data and can be used for hydrological forecasts.
Tracing the occurrence and spatial drivers of organic contaminants in urban ponds along urbanization gradients
This study presents a multi-tracer approach to investigate the impacts of urbanization on pond pollution at the city-scale, linking trace organic contaminant data, urban hydrology, and urbanization measures. In Berlin, urban ponds contained a wide variety of dissolved organic contaminants, with water inflow being a more important driver of high contaminant concentrations than surrounding land use.