Slope Gradient Controls Soil Thickness and Chemical Weathering in Subtropical Brazil: Understanding Rates and Timescales of Regional Soilscape Evolution Through a Combination of Field Data and Modeling

Liesa Brosens, Benjamin Campforts, Jérémy Robinet, Veerle Vanacker, Sophie Opfergelt, Yolanda Ameijeiras-Mariño, Jean P. G. Minella, Gerard Govers

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

©2020. American Geophysical Union. All Rights Reserved.Soil thickness and residence time are regulated by a dynamic interplay between soil formation and lateral transport of soil particles and solutes. To unravel this interplay and infer patterns and rates of chemical weathering, soil physical and chemical properties can be used. Here, we present an integrated approach combining numerical modeling with field measurements to assess the impact of slope gradient on soil thickness and chemical weathering at a regional scale. We first perform a number of synthetic model runs simulating soil formation, weathering, erosion, and deposition, which show that soil thickness and weathering degree decline with increasing slope gradient. We then evaluate how those functional relationships compare to soil-landscape data observed in the field. Soils are sampled at 100 midslope positions under varying slope gradient. The weathering degree is determined using three chemical weathering indices: ratio of iron oxides to total iron (Fed/Fet), chemical index of alteration (CIA), and total reserve in bases (TRB). Finally, we calibrate the Be2D model to our field data to constrain soil residence times and chemical weathering rates. The modeled weathering rates decrease with increasing soil residence time and decreasing slope gradient. The application of the soil-landscape evolution model in Southern Brazil shows that weathering rates can vary up to 2 orders of magnitude and depend on hillslope gradient. Notwithstanding model limitations and data uncertainties, we demonstrate the potential of an integrated approach, where field data and numerical modeling are integrated to unravel the timescale of soil weathering along transport over hillslopes.
Original languageEnglish
Article numbere2019JF005321
JournalJournal of Geophysical Research: Earth Surface
Volume125
Issue number6
DOIs
Publication statusPublished - 1 Jun 2020
Externally publishedYes

Funding

This research has been supported by the Belgian Development Cooperation through VLIR‐UOS. VLIR‐UOS supports partnerships between universities and university colleges in Flanders (Belgium) and the South looking for innovative responses to global and local challenges. This study was supported by the Belgian Science Policy Office (BelSPO) in the framework of the Inter University Attraction Pole project (P7/24): SOGLO—The soil system under global change. L. Brosens and B. Campforts received, respectively, a doctoral (11B6919N) and postdoctoral (12Z6518N) grant from the Research Foundation Flanders (FWO). We would like to thank the team of the Department of Soils of the University of Santa Maria (RS, Brazil) for their help during the field campaign. Data sets for this research are available at Brosens et al. ( 2020 ). We would like to thank Pedro Val and two other anonymous reviewers for their constructive and extensive feedback, enabling significant improvement of the manuscript. This research has been supported by the Belgian Development Cooperation through VLIR-UOS. VLIR-UOS supports partnerships between universities and university colleges in Flanders (Belgium) and the South looking for innovative responses to global and local challenges. This study was supported by the Belgian Science Policy Office (BelSPO) in the framework of the Inter University Attraction Pole project (P7/24): SOGLO?The soil system under global change. L. Brosens and B. Campforts received, respectively, a doctoral (11B6919N) and postdoctoral (12Z6518N) grant from the Research Foundation Flanders (FWO). We would like to thank the team of the Department of Soils of the University of Santa Maria (RS, Brazil) for their help during the field campaign. Data sets for this research are available at Brosens et al.?(2020). We would like to thank Pedro Val and two other anonymous reviewers for their constructive and extensive feedback, enabling significant improvement of the manuscript.

FundersFunder number
Pedro Val
VLIR-UOS
Universidad Técnica Federico Santa María
Belgian Federal Science Policy Office12Z6518N, P7/24, 11B6919N
Fonds Wetenschappelijk Onderzoek
Belgisch Ontwikkelingsagentschap

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