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Spatial Patterns and Controls on Wind Erosion in the Great Basin

  • Ronald S. Treminio
  • , Nicholas P. Webb
  • , Brandon L. Edwards
  • , Akasha Faist
  • , Beth Newingham
  • , Emily Kachergis
  • New Mexico State University
  • United States Department of Agriculture
  • U.S. Department of the Interior

Research output: Contribution to journalArticlepeer-review

10 Scopus citations

Abstract

The Great Basin of the western United States is experiencing dramatic increases in wildfire and Bromus species invasion that potentially accelerate wind erosion and plant community change. We used a wind erosion model parameterized for rangelands and standard ecological monitoring data sets collected at 10,779 locations from 2011 to 2019 to characterize potential wind erosion in the Great Basin, assess relationships between factors affecting wind erosion, and quantify effects of wildfire and invasive Bromus species on aeolian horizontal sediment flux, Q. There were 403 monitoring plots (∼3.7% of plots) with Q > 100 g m−1 d−1. Median values for the highest Q category (>100) ranged from 196.5 to 308.5 g m−1 d−1. Locations with Q > 100 g m−1 d−1 were associated with dry, low elevation areas of the Great Basin with low perennial grass and perennial forb cover, and with large bare gaps between plants. Areas with high perennial grass, perennial forb, and shrub cover had small Q (≤10 g m−1 d−1). Substantial wind erosion was predicted in areas that have experienced wildfires, but areas with multiple wildfires had a lower predicted probability of Q particularly as invasive Bromus species cover increased. Modeled Q was up to two orders of magnitude higher post-wildfire (median 44.2 g m−1 d−1) than in intact or annual grass-invaded regions of the Great Basin (median 0.4 g m−1 d−1). Our results reveal the complex interplay among plant community composition, wildfire, and the amount of bare ground controlling wind erosion on Great Basin rangelands.

Original languageEnglish
Article numbere2023JG007792
JournalJournal of Geophysical Research: Biogeosciences
Volume129
Issue number1
DOIs
StatePublished - Jan 2024

Funding

This research was funded by the U.S. National Science Foundation (NSF) and Natural Environment Research Council (NERC), Grant: 1853853. The authors gratefully acknowledge the contribution of Adrian Chappell for providing conceptual discussion and editing to the article, Sarah McCord for input and insights to BLM data, Darren James for statistical advice, and Brandi Wheeler, Katie Young, Dylan Burruss, and Joslynn Romero for input with analyses. This research was a contribution of the Long-Term Agroecosystem Research (LTAR) network supported by the U.S. Department of Agriculture (USDA). Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the US Government. This research was funded by the U.S. National Science Foundation (NSF) and Natural Environment Research Council (NERC), Grant: 1853853. The authors gratefully acknowledge the contribution of Adrian Chappell for providing conceptual discussion and editing to the article, Sarah McCord for input and insights to BLM data, Darren James for statistical advice, and Brandi Wheeler, Katie Young, Dylan Burruss, and Joslynn Romero for input with analyses. This research was a contribution of the Long‐Term Agroecosystem Research (LTAR) network supported by the U.S. Department of Agriculture (USDA). Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the US Government.

FundersFunder number
Natural Environment Research Council1853853

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