Influence of climate and erodibility on mountain building processes

PI: Christoph v.Hagke

Using global data sets, we study how climate, in particular glacial-interglacial cycles influence mountain-building processes.

Fig. 2. A Map of the global erodibility index. The spatial distribution is based on the GLiM v1.0 lithological map (Hartmann & Moosdorf, 2012).

 https://ars.els-cdn.com/content/image/1-s2.0-S0143622817306859-gr2_lrg.jpg

Fig. 2 Worldwide compilation of erosion rate estimates over a range of averaging time scales.(A) Estimated erosion rates in glaciated landscapes show marked increase with a decrease in averaging time scale, which correlates with age and is characterized by an inverse power-law trend (Materials and Methods). My, million years; NW, Northwest. (B) Estimated erosion rates in landscapes where glacial processes are not dominant. The colored boxes around the square markers indicate the SE in averaging time scale and erosion rate estimates (table S2). The colored dashed lines indicate the best power-law fit to the data of estimated erosion rates and the averaging time scale (Materials and Methods). The dashed black lines denote a slope of −1, which could be expected because of plotting a rate against time (45).

 https://www.science.org/doi/full/10.1126/sciadv.1600204

Project-related publications

Moosdorf, N., Cohen, S., von Hagke, C. (2018):  A global erodibility index to represent sediment production potential of different rock types, Applied Geography 101, pp.36-44
Ganti, V., von Hagke, C., Scherler, D., Lamb, M.P., Fischer, W., and Avouac, J.-P., (2016): Timescale bias in erosion rates of glaciated landscapes, Science Advances, vol. 2, e1600204, doi:10.1126/sciadv.1600204. – first two authors contributed equally to this work