Published March 28, 2013 | Version Supplemental Material + Published
Journal Article Open

Vegetation and wildfire controls on sediment yield in bedrock landscapes

  • 1. ROR icon California Institute of Technology

Abstract

Steep, rocky landscapes commonly exhibit high sediment yields and are especially sensitive to climate, tectonics, and wildfire. Predicting landscape response to these perturbations demands a quantitative understanding of erosion processes. However, existing models for hillslope sediment production and transport do not apply to landscapes with patchy soil and slopes that exceed the angle for sediment stability. Here we present field measurements in southern California, USA, which indicate that sediment storage on steep slopes is enabled by vegetation that traps sediment upslope. We find that the storage capacity of unburned vegetation dams follows a geometric scaling model with a cubic dependence on effective plant width and an inverse dependence on local slope. Measured sediment volumes behind burned vegetation dams indicate a loss of at least 75% relative to unburned dams, and when expanded to the catchment scale, our measurements match records of postfire sediment yield from nearby retention basins. Contrary to existing models, our observations indicate that wildfire-induced sediment yield is driven by transient storage and release of sediment by vegetation dams, rather than increased bedrock-to-soil conversion rates. Without a feedback between soil production and wildfire, fire may play little role in long-term landscape evolution, and increasing fire frequency in response to climate change may not result in heightened sedimentation hazards due to supply limitations.

Additional Information

© 2013 American Geophysical Union. Received 3 January 2013; revised 16 February 2013; accepted 19 February 2013; published 27 March 2013. This work was supported by funding from the Davidow Foundation grant to M.P.L. Laser altimetry was acquired and processed by the National Center for Airborne Laser Mapping (NCALM) with support from the California Institute of Technology, Arizona State University, and the U.S. Geological Survey. Ben Mackey assisted with the fieldwork. Comments from two anonymous reviewers helped improve an earlier version of this manuscript.

Attached Files

Published - grl50277.pdf

Supplemental Material - grl50277-sup-0001-readme.txt

Supplemental Material - grl50277-sup-0002-t01.docx

Files

grl50277-sup-0001-readme.txt

Files (840.0 kB)

Name Size
md5:aa1b6c8eb8e9a36f86980f773c1e010e
416 Bytes Preview Download
md5:dcde401b0e62ea1417a52011cc07cf48
21.2 kB Download
md5:6cbf75006e1b39be4209734315debea2
818.4 kB Preview Download

Additional details

Identifiers

Eprint ID
39129
Resolver ID
CaltechAUTHORS:20130627-151357833

Funding

Davidow Foundation

Dates

Created
2013-06-28
Created from EPrint's datestamp field
Updated
2021-11-09
Created from EPrint's last_modified field

Caltech Custom Metadata