DOI: 10.1016/j.epsl.2020.116555
论文题名: Lithology, topography, and spatial variability of vegetation moderate fluvial erosion in the south-central Andes
作者: Seagren E.G. ; Schoenbohm L.M. ; Owen L.A. ; Figueiredo P.M. ; Hammer S.J. ; Rimando J.M. ; Wang Y. ; Bohon W.
刊名: Earth and Planetary Science Letters
ISSN: 0012821X
出版年: 2020
卷: 551 语种: 英语
中文关键词: 10Be terrestrial cosmogenic nuclides
; Bayesian regression
; Central Andes
; fluvial erosion
; vegetation
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
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. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/165260
Appears in Collections: 气候变化与战略
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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
Recommended Citation:
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]. Earth and Planetary Science Letters,2020-01-01,551