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.

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.

Hulskemper et al. report on a data-driven investigation and predictive modelling of Earth surface dynamics captured by high-resolution 4D remote sensing datasets. Their study shows how to integrate massive remote sensing observations to increase our process understanding in coastal morphodynamic research.

The paper by Leger et al. presents a large-scale reconstruction of glacial sediment transport in the Alps, offering both novel insights and a versatile computational framework for investigating glacial processes at Quaternary time scales. The study's relevance spans paleo-glacier dynamics, sediment transport, and landscape evolution in alpine environments, making it highly valuable to geomorphologists, glacial geologists, and sedimentologists, as well as applied sectors. The developed model has the potential to unlock numerous key research questions relating to past and present glacier behavior.

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.

A common perception is that changes in rock type (lithology) directly alter the long profile (or longtitudinal shape) of a river bed. However, this study finds that changes in lithology cannot be directly detected by looking at the long profile of a river, and the reason why it cannot be detected, is of broad interest to students of bedrock rivers and landscapes.