Articles | Volume 18, issue 18
https://doi.org/10.5194/bg-18-5163-2021
https://doi.org/10.5194/bg-18-5163-2021
Research article
 | 
22 Sep 2021
Research article |  | 22 Sep 2021

Spatial patterns of aboveground phytogenic Si stocks in a grass-dominated catchment – results from UAS-based high-resolution remote sensing

Marc Wehrhan, Daniel Puppe, Danuta Kaczorek, and Michael Sommer

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Cited articles

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Anderson, G. L., Hanson, J. D., and Haas, R. H.: Evaluating Landsat Thematic Mapper derived vegetation Indices for estimating above-ground biomass on semiarid rangelands, Remote Sens. Environ., 45, 165–175, https://doi.org/10.1016/0034-4257(93)90040-5, 1993. 
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Berni, J. A. J., Zarco-Tejada, P. J., Suárez, L., and Fereres, E.: Thermal and Narrowband Multispectral Remote Sensing for Vegetation Monitoring From an Unmanned Aerial Vehicle, IEEE T. Geosci. Remote, 47, 722–738, https://doi.org/10.1109/TGRS.2008.2010457, 2009. 
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Short summary
UAS remote sensing provides a promising tool for new insights into Si biogeochemistry at catchment scale. Our study on an artificial catchment shows surprisingly high silicon stocks in the biomass of two grass species (C. epigejos, 7 g m−2; P. australis, 27 g m−2). The distribution of initial sediment properties (clay, Tiron-extractable Si, nitrogen, plant-available potassium) controlled the spatial distribution of C. epigejos. Soil wetness determined the occurrence of P. australis.
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