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DOI10.1016/j.epsl.2020.116555
Lithology, topography, and spatial variability of vegetation moderate fluvial erosion in the south-central Andes
Seagren E.G.; Schoenbohm L.M.; Owen L.A.; Figueiredo P.M.; Hammer S.J.; Rimando J.M.; Wang Y.; Bohon W.
发表日期2020
ISSN0012821X
卷号551
英文摘要Understanding how tectonics, climate and lithology interact to control fluvial erosion is complicated because these factors are spatially-variable and they may not be well-represented by mean values. We address these complications using eight new and 54 published 10Be catchment-wide fluvial erosion rates from the south-central Andes. We assess how tectonics, climate, lithology, and topography control erosion through bivariate and multivariate Bayesian regression analysis. We first compare catchment-wide mean values of independent variables compared to other summary statistics and find that metrics that capture extreme values (e.g., 90th percentile) and spatial variability (e.g., 90th minus 10th percentile) produce stronger correlations. This suggests that catchment-wide means may oversimplify the roles of tectonics, climate, and lithology in influencing erosion rates. We find that the overall variability of erosion rates in the south-central Andes is best explained by a combination of lithologic resistance and spatial variability in both vegetation (using the normalized difference vegetation index, NDVI) and topography (using specific stream power). Despite poor bivariate correlations, both lithologic resistance and spatial variability of specific stream power are significant regressors in our multivariate modeling. Lithology influences the relationship (i.e., linearity) between topography and erosion rates. Spatial variability of NDVI produces the strongest correlation with erosion rates of any of the variables we consider. Hence, spatial variability of NDVI both accounts for potential non-uniform vegetation responses to climate and also incorporates the role of both humid climates (high 90th percentile) and large bare regions (low 10th percentile) within a single catchment. © 2020 Elsevier B.V.
关键词10Be terrestrial cosmogenic nuclidesBayesian regressionCentral Andesfluvial erosionvegetation
英文关键词Catchments; Erosion; Lithology; Regression analysis; Runoff; Tectonics; Vegetation; Bivariate correlations; Independent variables; Multivariate Bayesian regressions; Multivariate modeling; Normalized difference vegetation index; Spatial variability; Specific stream power; Topography controls; Topography; beryllium isotope; cosmogenic radionuclide; erosion rate; lithology; NDVI; regression analysis; spatial variation; tectonic setting; topography; vegetation; Andes
语种英语
来源期刊Earth and Planetary Science Letters
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/202882
作者单位Department of Earth Sciences, University of Toronto, Toronto, ON, Canada; Department of Chemical and Physical Sciences, University of Toronto Mississauga, Mississauga, ON, Canada; Department of Marine, Earth, and Atmospheric Sciences, North Carolina State University, Raleigh, NC 27695, United States; Department of Geology, University of Cincinnati, Cincinnati, OH 45221, United States; School of Earth Sciences and Engineering, Sun Yat-sen University, Guangzhou, Guangdong, China; Incorporated Research Institutions for Seismology, Washington, DC, United States
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Seagren E.G.,Schoenbohm L.M.,Owen L.A.,et al. Lithology, topography, and spatial variability of vegetation moderate fluvial erosion in the south-central Andes[J],2020,551.
APA Seagren E.G..,Schoenbohm L.M..,Owen L.A..,Figueiredo P.M..,Hammer S.J..,...&Bohon W..(2020).Lithology, topography, and spatial variability of vegetation moderate fluvial erosion in the south-central Andes.Earth and Planetary Science Letters,551.
MLA Seagren E.G.,et al."Lithology, topography, and spatial variability of vegetation moderate fluvial erosion in the south-central Andes".Earth and Planetary Science Letters 551(2020).
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