Soilscape evolution model Lorica

We develop and maintain LORICA, a soilscape evolution model, which links multiple processes affecting the landscape (e.g. erosion, creep, tillage, landsliding etc.) to soil profile evolution. It does so by dynamically adapting the number and thickness of soil layers depending on the topographical and lithological characteristics of the area and of the process which is modelled.

Here you can find the model LORICA .

If you would like to work with us, need help with LORICA or have further questions, please do not hesitate to contact us.

References

Temme, A. J., & Vanwalleghem, T. (2016). LORICA–A new model for linking landscape and soil profile evolution: Development and sensitivity analysis. Computers & Geosciences, 90, 131-143.

van der Meij, W. M., Temme, A. J., Binnie, S. A., & Reimann, T. (2022). ChronoLorica–Introduction of a soil-landscape evolution model combined with geochronometers. EGUsphere, 2022, 1-35.

van der Meij, W. M., Temme, A. J., de Kleijn, C. M., Reimann, T., Heuvelink, G., Zwoliński, Z., Rachlewicz, G., Rymer, C. & Sommer, M. (2016). Arctic soil development on a series of marine terraces on central Spitsbergen, Svalbard: a combined geochronology, fieldwork and modelling approach. Soil, 2(2), 221-240.

PDF Geocoder script (Python)

The goal of the PDF geocoder script is to visualize the spatial distribution of investigated geographical areas from a large number of pdf documents, typically research abstracts. The results can be interpreted to identify spatial patterns (and inversely spatial knowledge gaps). Examples include identifying cases of helicopter science on a global scale (when researchers from wealthier countries conduct research in developing areas without meaningfully involving local scientists or communities) and identifying gaps of spatial (field) data within a defined region.

Here you can find the PDF Geocoder script (Python).