Individual approaches to observe water dynamics across our landscape, from the land surface to groundwater, are many though they individually only provide glimpses into the real world due to their specific space–time scales. Comprehensive integration across all available observations is still largely…
A data-driven approach employing machine learning holds promise for applications in ecological informatics. Machine learning can automatically find unexpected relationships between variables and will help generate hypotheses. Despite recognizing such an advantage, many ecologists may feel uncomfortable…