Major element stream water chemistry, compiled 10Be erosion rates, and analyses of weathering across an erosion-rate gradient in in southern Taiwan
Cite as:
Bufe, Aaron; Hovius, Niels; Emberson, Robert; Rugenstein, Jeremy K. C.; Galy, Albert; Hassenruck-Gudipati, Hima J.; Chang, Jui-Ming (2021): Major element stream water chemistry, compiled 10Be erosion rates, and analyses of weathering across an erosion-rate gradient in in southern Taiwan. V. 02. GFZ Data Services. https://doi.org/10.5880/GFZ.4.6.2021.001
Status
I N R E V I E W : Bufe, Aaron; Hovius, Niels; Emberson, Robert; Rugenstein, Jeremy K. C.; Galy, Albert; Hassenruck-Gudipati, Hima J.; Chang, Jui-Ming (2021): Major element stream water chemistry, compiled 10Be erosion rates, and analyses of weathering across an erosion-rate gradient in in southern Taiwan. V. 02. GFZ Data Services. https://doi.org/10.5880/GFZ.4.6.2021.001
Abstract
This dataset was used to analyse the link between chemical weathering and erosion rates across the southern tip of Taiwan. The weathering of silicate minerals is a key component of Earth’s long-term carbon cycle, and it stabilises Earth’s climate by sequestering carbon dioxide (CO2) from the atmosphere – thereby balancing CO2-emissions from the mantle. Conversely, the weathering of accessory carbonate and sulphides acts as a CO2 source. Chemical weathering is fundamentally dependent on the exposure of fresh minerals by erosion. With these data we investigated the link between the exposure of rocks by erosion and the chemical weathering of silicates, carbonates, and sulphides across a landscape with a significant erosion-rate gradient and comparatively little variation in runoff and lithology.
This dataset includes new major element chemistry and water isotopes of river waters collected from across the southern tip of Taiwan as well as associated topographic and lithologic data (tab 1 in the excel table). Moreover, the data include a compilation of published 10Be-derived erosion rates from a subset of the sampled rivers (tab 2 in the excel file) and available major element chemistry from hotsprings in the region (tab 3 in the excel file). Using a mixing model, we derived the cation contributions from silicate and carbonate weathering as well as from hotspring and cyclic sources. Further, we estimated the erosion rates for each sample from the compiled 10Be data and the steepness of river channels, and we estimated saturation and pH in the weathering zone.
For more information please refer to the associated data description file and especially to Bufe et al. (2021). This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 841663.
Additional Information
Version History
• 2 March 2021: Publication of first version
• 21 August 2023: Publication of Version 02, the first version is available in the “previous-versions” subfolder of the data folder. Version 02 includes a correction of the data calculat-ed with equation 21 in the related manuscript (Bufe et al., 2021). The correction impacts the absolute values of the medium-term effect of weathering on the inorganic CO2 balance presented in Table S5 in columns AG, AU, AZ, BF, and BN and the uncertainties in columns CU, DI, DN, DT, and EB"
Authors
Bufe, Aaron;GFZ German Research Centre for Geosciences, Potsdam, Germany
Hovius, Niels;GFZ German Research Centre for Geosciences, Potsdam, Germany;Institute of Geosciences, University of Potsdam, Potsdam, Germany
Emberson, Robert;NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
affiliation (affiliationIdentifier=0000-0002-8551-7265 affiliationIdentifierScheme=ORCID): GFZ German Research Centre for Geosciences, Potsdam, Germany
affiliation (affiliationIdentifier=0000-0002-9158-9871 affiliationIdentifierScheme=ORCID): GFZ German Research Centre for Geosciences, Potsdam, Germany
affiliation: Institute of Geosciences, University of Potsdam, Potsdam, Germany
affiliation: Department of Geosciences, National Taiwan University, 10617 Taipei, Taiwan
titles
title: Major element stream water chemistry, compiled 10Be erosion rates, and analyses of weathering across an erosion-rate gradient in in southern Taiwan
CharacterString: Major element stream water chemistry, compiled 10Be erosion rates, and analyses of weathering across an erosion-rate gradient in in southern Taiwan
CharacterString: This dataset was used to analyse the link between chemical weathering and erosion rates across the southern tip of Taiwan. The weathering of silicate minerals is a key component of Earth’s long-term carbon cycle, and it stabilises Earth’s climate by sequestering carbon dioxide (CO2) from the atmosphere – thereby balancing CO2-emissions from the mantle. Conversely, the weathering of accessory carbonate and sulphides acts as a CO2 source. Chemical weathering is fundamentally dependent on the exposure of fresh minerals by erosion. With these data we investigated the link between the exposure of rocks by erosion and the chemical weathering of silicates, carbonates, and sulphides across a landscape with a significant erosion-rate gradient and comparatively little variation in runoff and lithology.
This dataset includes new major element chemistry and water isotopes of river waters collected from across the southern tip of Taiwan as well as associated topographic and lithologic data (tab 1 in the excel table). Moreover, the data include a compilation of published 10Be-derived erosion rates from a subset of the sampled rivers (tab 2 in the excel file) and available major element chemistry from hotsprings in the region (tab 3 in the excel file). Using a mixing model, we derived the cation contributions from silicate and carbonate weathering as well as from hotspring and cyclic sources. Further, we estimated the erosion rates for each sample from the compiled 10Be data and the steepness of river channels, and we estimated saturation and pH in the weathering zone.
For more information please refer to the associated data description file and especially to Bufe et al. (2021). This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 841663.
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