This study provides sorely needed insights into the spatial and temporal variability in marram grass traits in relation to aeolian sand transport. This information will be highly relevant to developing and refining coastal dune formation models.

Using the enigmatic peak of the Matterhorn, this work nicely illustrates how anthropogenic climate warming is changing the face of our mountains. Warming permafrost and changing rock-strength destabilizes rock-mass and results in rockfall that poses serious hazards for adjacent valleys.

Understanding and modeling plastic transport in rivers is crucial because rivers act as major conduits for plastic waste from land to ocean. The study presents a model that provides insights into how plastics move through river systems. This work not only advances scientific understanding of pollutant dynamics but also supports environmental management, and helps protect aquatic ecosystems from the escalating threat of plastic pollution.

This research letter presents a conceptual model and data from physical experiments for a new mechanism of sediment entrainment on the seafloor during the huge co-seismic motion imposed by the large subduction earthquakes. This new mechanism introduces the concept of sediment entrainment being due to the motion of the sediment bed instead caused my movement of the water above. Furthermore, by identifying the sedimentary fingerprint of megathrust ruptures with high tsunamigenic potential, the authors propose a new approach to constraining the seismic and tsunami hazard in subduction zones.

How does grainsize vary along rivers, and what are the controls? Based on an extensive dataset compiled in a citizen-science survey across Scotland, Towers et al. find that in post-glacial landscapes commonly used global environmental factors provide little explanation. Instead, the local sediment input from glacially sculpted landforms and emplaced deposits largely determine the high spatial variability of grainsizes.

Grainsize distributions in rivers are highly variable while difficult to measure over long river reaches or entire river networks. Jordan Gilbert‘s work offers a statistical approach and numerical toolset to spatially estimate grainsize distributions.