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Investigating links between climate and orography in the central Andes: Coupling erosion and precipitation using a physical-statistical model

Publication ,  Journal Article
Lowman, LEL; Barros, AP
Published in: Journal of Geophysical Research: Earth Surface
January 1, 2014

Prior studies evaluated the interplay between climate and orography by investigating the sensitivity of relief to precipitation using the stream power erosion law (SPEL) for specified erosion rates. Here we address the inverse problem, inferring realistic spatial distributions of erosion rates for present-day topography and contemporaneous climate forcing. In the central Andes, similarities in the altitudinal distribution and density of first-order stream outlets and precipitation suggest a direct link between climate and fluvial erosion. Erosion rates are estimated with a Bayesian physical-statistical model based on the SPEL applied at spatial scales that capture joint hydrogeomorphic and hydrometeorological patterns within five river basins and one intermontane basin in Peru and Bolivia. Topographic slope and area data were generated from a high-resolution (∼90 m) digital elevation map, and mean annual precipitation was derived from 14 years of Tropical Rainfall Measuring Mission 3B42v.7 product and adjusted with rain gauge data. Estimated decadal-scale erosion rates vary between 0.68 and 11.59 mm/yr, with basin averages of 2.1-8.5 mm/yr. Even accounting for uncertainty in precipitation and simplifying assumptions, these values are 1-2 orders of magnitude larger than most millennial and million year timescale estimates in the central Andes, using various geological dating techniques (e.g., thermochronology and cosmogenic nuclides), but they are consistent with other decadal-scale estimates using landslide mapping and sediment flux observations. The results also reveal a pattern of spatially dependent erosion consistent with basin hypsometry. The modeling framework provides a means of remotely estimating erosion rates and associated uncertainties under current climate conditions over large regions. © 2014. American Geophysical Union. All Rights Reserved. ©2014. American Geophysical Union. All Rights Reserved.

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Published In

Journal of Geophysical Research: Earth Surface

DOI

EISSN

2169-9011

Publication Date

January 1, 2014

Volume

119

Issue

6

Start / End Page

1322 / 1353

Related Subject Headings

  • 41 Environmental sciences
  • 37 Earth sciences
  • 04 Earth Sciences
 

Citation

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ICMJE
MLA
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Lowman, L. E. L., & Barros, A. P. (2014). Investigating links between climate and orography in the central Andes: Coupling erosion and precipitation using a physical-statistical model. Journal of Geophysical Research: Earth Surface, 119(6), 1322–1353. https://doi.org/10.1002/2013JF002940
Lowman, L. E. L., and A. P. Barros. “Investigating links between climate and orography in the central Andes: Coupling erosion and precipitation using a physical-statistical model.” Journal of Geophysical Research: Earth Surface 119, no. 6 (January 1, 2014): 1322–53. https://doi.org/10.1002/2013JF002940.
Lowman LEL, Barros AP. Investigating links between climate and orography in the central Andes: Coupling erosion and precipitation using a physical-statistical model. Journal of Geophysical Research: Earth Surface. 2014 Jan 1;119(6):1322–53.
Lowman, L. E. L., and A. P. Barros. “Investigating links between climate and orography in the central Andes: Coupling erosion and precipitation using a physical-statistical model.” Journal of Geophysical Research: Earth Surface, vol. 119, no. 6, Jan. 2014, pp. 1322–53. Scopus, doi:10.1002/2013JF002940.
Lowman LEL, Barros AP. Investigating links between climate and orography in the central Andes: Coupling erosion and precipitation using a physical-statistical model. Journal of Geophysical Research: Earth Surface. 2014 Jan 1;119(6):1322–1353.

Published In

Journal of Geophysical Research: Earth Surface

DOI

EISSN

2169-9011

Publication Date

January 1, 2014

Volume

119

Issue

6

Start / End Page

1322 / 1353

Related Subject Headings

  • 41 Environmental sciences
  • 37 Earth sciences
  • 04 Earth Sciences