The slow downwearing of Madagascar: Inferring patterns and controls on long‐term basin‐averaged erosion rates from in situ10Be at the catchment and regional level

Liesa Brosens, Rónadh Cox, Benjamin Campforts, Liesbet Jacobs, Veerle Vanacker, Paul Bierman, Vao Fenotiana Razanamahandry, Amos Fety Michel Rakotondrazafy, Tantely Razafimbelo, Tovonarivo Rafolisy, Gerard Govers

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Abstract

Cosmogenic nuclide analysis of river sediment provides insight into catchment-wide erosion rates and dynamics. Here, we investigate spatial patterns and controls on 10Be-inferred erosion rates in Madagascar, a moderately seismically active microcontinent surrounded by passive margins with locally steep topography and a climate that varies from humid tropical to semiarid. We use a compiled dataset of 99 detrital 10Be measurements, 63 of which are new, covering more than 30% of the country and a wide range of topographic, bioclimatic and geologic characteristics. Overall, 10Be erosion rates are low (2.4–51.1 mm kyr−1), with clear differences between regions. The lowest rates are measured on the central highlands ( 8 mm kyr−1), in the Alaotra–Ankay graben ( 11 mm kyr−1) and in the large north-central catchments ( 11 mm kyr−1). Higher rates are found on the steep eastern escarpment ( 20 mm kyr−1), in the northwest ( 31 mm kyr−1) and in the southwest ( 29 mm kyr−1). A stepwise linear regression model identified elevation as the main factor associated with variations in 10Be erosion rates (lower rates for higher catchments). Random within-between statistical models (REWB), on the other hand, indicated that the differences between different regions can be explained by differences in river concavity, seismic events and gully (lavaka) densities, whereas additional variation within regions is only linked to seismicity. We find no correlation between catchment or river steepness and 10Be-inferred erosion rates. Our results indicate that in Madagascar, long-term erosion rates are overall low and that simple topography-based models do not explain variations in rates of landscape change inferred from 10Be concentrations in river sediment. We demonstrate that identifying different regions aids in interpreting spatial patterns of erosion rates and that REWB models can be a powerful tool in deciphering environmental controls on 10Be erosion rates.
Original languageEnglish
Pages (from-to)1765-1782
Number of pages18
JournalEarth Surface Processes and Landforms
Volume48
Issue number9
Early online date29 Mar 2023
DOIs
Publication statusPublished - Jul 2023

Funding

This research is part of the MaLESA (Malagay Lavaka, Environmental reconstruction and Sediment Archives) project funded by KU Leuven (Special Research Fund). This work was financially supported by the Research Foundation Flanders (FWO) (11B6921N, 12Z6518N, V436719N and V436319N), YouReCa and VLIRUOS. R. Cox gratefully acknowledges support from the National Science Foundation (EAR-0415439). Special thanks go to M. Bravin and the team of V. Vanacker at UC Louvain for the help and guidance with the cosmogenic laboratory work and to M. Christl for facilitating the 10Be measurements at the Tandy facility at ETH Zürich. We thank MNP (Madagascar National Parks) and MEDD (Ministére de l'Environment et de Development Durable) of Madagascar for authorising sample collection in the protected area of the Zahamena National Park. Bouillon S., Broothaerts N. and Dewaele M. are wholeheartedly thanked for the field assistance and inspiring discussions on this topic. We would like to thank Yanyan Wang, two anonymous reviewers and the editorial team for their thoughtful and constructive comments that considerably improved the quality of the manuscript. This research is part of the MaLESA (Malagay Lavaka, Environmental reconstruction and Sediment Archives) project funded by KU Leuven (Special Research Fund). This work was financially supported by the Research Foundation Flanders (FWO) (11B6921N, 12Z6518N, V436719N and V436319N), YouReCa and VLIRUOS. R. Cox gratefully acknowledges support from the National Science Foundation (EAR‐0415439). Special thanks go to M. Bravin and the team of V. Vanacker at UC Louvain for the help and guidance with the cosmogenic laboratory work and to M. Christl for facilitating the Be measurements at the Tandy facility at ETH Zürich. We thank MNP (Madagascar National Parks) and MEDD (Ministére de l'Environment et de Development Durable) of Madagascar for authorising sample collection in the protected area of the Zahamena National Park. Bouillon S., Broothaerts N. and Dewaele M. are wholeheartedly thanked for the field assistance and inspiring discussions on this topic. We would like to thank Yanyan Wang, two anonymous reviewers and the editorial team for their thoughtful and constructive comments that considerably improved the quality of the manuscript. 10

FundersFunder number
MaLESA
Madagascar National Parks
Ministére de l'Environment et de Development Durable
National Science FoundationEAR‐0415439
Fonds Wetenschappelijk OnderzoekV436719N, 11B6921N, V436319N, 12Z6518N
KU Leuven
VLIRUOS

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