This study analyzes seasonal biomechanical traits of marram grass at two coastal dune sites using monthly field and lab data from 2022. Observed differences in density, leaf length, and flower stems were found to be wind-independent and transferable across sites. The results support surrogate model development for numerical and physical experiments alike, where using live vegetation is impractical. Results address the knowledge gap on how vegetation influences dune stability and erosion resistance.

This study shows that climate-driven changes in spring flood patterns, especially hydrograph shape and peak sequencing, strongly affect sediment transport and river morphology in a subarctic river. Rising temperatures and more rain-on-snow events are increasing flood variability, leading to more event-driven and unpredictable sediment dynamics. Adaptive management is needed to respond to these emerging changes.

A soil-landscape evolution model was used to calculate hillslope erosion rates from OSL-based (Optically Stimulated Luminescence) deposition ages through inverse modelling, with consideration of uncertainties in model input. The results show that erosion rates differ systematically from the deposition rates, highlighting important shortcomings of assessing land degradation through measurable deposition rates.

Rainfall caused clustered landslides in a granite area. Different types of landslides occurred in similar geologic settings, which triggered us to make the assumption that the material variability and the residual layer thickness affect the damage pattern. We designed three slope models with different residual layer thicknesses for tests. The landslide damage patterns were summarized. The E1 slope is overall flow-slip damage, the E2 slope is a traction-type slide, and the E3 slope is a thrust-type slide.

Sediments deposited within river channels form the stratigraphic record, which has been used to interpret tectonic events, basin subsidence, and changes in precipitation long after ancient mountain chains have eroded away. Our work combines methods for estimating gravel fining with a landscape evolution model in order to analyze the grain size preserved within the stratigraphic record with greater complexity (e.g. considering topography and channel dynamics) than past approaches.

Sediments deposited within river channels form the stratigraphic record, which has been used to interpret tectonic events, basin subsidence, and changes in precipitation long after ancient mountain chains have eroded away. Our work combines methods for estimating gravel fining with a Landscape Evolution Model in order to analyze the grain size preserved within the stratigraphic record with greater complexity (e.g. considering topography and channel dynamics) than past approaches.

Sediments deposited within river channels form the stratigraphic record, which has been used to interpret tectonic events, basin subsidence, and changes in precipitation long after ancient mountain chains have eroded away. Our work combines methods for estimating gravel fining with a landscape evolution model in order to analyze the grain size preserved within the stratigraphic record with greater complexity (e.g. considering topography and channel dynamics) than past approaches.

Our study presents a computer-based method to detect and measure pebbles in 3D models reconstructed from camera photos. We tested it in a controlled setup and achieved 98 % accuracy in detecting pebbles. Unlike traditional 2D methods, our approach provides full 3D size and orientation data. This improves sediment analysis and riverbed studies by offering more precise measurements. Our work highlights the potential of 3D modeling for studying natural surfaces.

Marine terrace sequences – staircase-shaped coastal landforms – record sea-level changes, vertical motions, and erosional processes that are difficult to untangle. To achieve this, we developed a numerical inversion approach: using the observed landscape as input, we constrained the ensemble of parameter ranges that could have created this landscape. We applied the model to marine terrace sequences in Santa Cruz (US) and Corinth (Greece) to reveal past sea or lake levels, uplift rates, and hydroclimates.

Changes in sediment mass is accompanied by shape change. We studied downstream changes in particle shape near a channel head using image-based analysis. Although the particles tended to become smoother and more circular, such trend was significantly disrupted by the addition of rock fragment supplied from hillslopes or detached from larger particles during transport. Our findings indicated the dominant process that determine particle shape changes over short distance in headwater streams.

This study establishes a methodology for the study of slow-moving rock glaciers in marginal permafrost and provides the basic knowledge for understanding rock glaciers in South East Europe. By using a combination of different methods (remote sensing, geophysical survey, thermal measurements), we found out that, on the transitional rock glaciers, low ground ice content (i.e. below 20 %) produces horizontal displacements of up to 3 cm per year.

We run many computer models that describe how landscapes evolve through time. We change how randomness (noise) is added to the models to explore how it affects the shapes and properties of the final landscape. We add different types of noise at the start, during, and at the end of models, aiming to mimic reality. The range of shapes and properties produced from different noises can be as large as ranges possibly caused by climate, but running many models can help with measuring this uncertainty.

In 2018, 6 moderate-large earthquakes occurred in Lombok, Indonesia over a 3-week period, triggering landslides across the island. Their locations were previously mapped with optical satellite images, but information on which earthquake triggered which landslide was limited. Here we use Sentinel-1 satellite images to determine when during the earthquake sequence many of the landslides failed and so build a more complete picture of how landslide activity evolved through time.

Alluvial rivers form networks, but many concepts we use to analyse their long-term evolution derive from models that treat them as single streams. We develop a model including tributary interactions and show that, while patterns of sediment output can be similar for network and single-segment models, complex signal propagation affects aggradation and incision within networks. We argue that understanding a specific catchment's evolution requires a model with its specific network structure.