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Cover–biomass relationships of an invasive annual grass, Bromus rubens, in the Mojave Desert

Published online by Cambridge University Press:  04 November 2020

Scott R. Abella Open the ORCID record for Scott R. Abella [Opens in a new window]
Scott R. Abella*
Affiliation:
Associate Professor, School of Life Sciences, University of Nevada Las Vegas, Las Vegas, NV, USA
*
Author for correspondence: Scott R. Abella, School of Life Sciences, University of Nevada Las Vegas, 4505 South Maryland Parkway, Las Vegas, NV 89154-4004. (Email: scott.abella@unlv.edu)
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Abstract

Estimates of plant biomass are helpful for many applications in invasive plant science and management, but measuring biomass can be time-consuming, costly, or impractical if destructive sampling is inappropriate. The objective of this study was to assess feasibility of developing regression equations using a fast, nondestructive measure (cover) to estimate aboveground biomass for red brome (Bromus rubens L.), a widespread nonnative annual grass in the Mojave Desert, USA. At three study sites, including one measured for three consecutive years, B. rubens cover spanned 0.1% to 85% and aboveground biomass 1 to 321 g m−2. In log10-transformed linear regressions, B. rubens cover accounted for 68% to 96% of the variance in B. rubens biomass among sites, with all coefficients of determination significant at P < 0.05. For every doubling of percent cover, biomass was predicted to increase by 78%, 83%, and 144% among the three sites. At the site measured for three consecutive years, which ranged in rainfall from 65% to 159% of the long-term average, regression slopes each year differed from other years. Regression results among sites were insensitive to using cover classes (10 classes encompassing 0% to 100% cover) compared with simulated random distribution of integer cover within classes. Biomass of B. rubens was amenable to estimation in the field using cover, and such estimates may have applications for modeling invasive annual plant fuel loads and ecosystem carbon storage.

Keywords

Allometric equationsdouble samplingfuel modelingred bromewildfire
Type
Note
Information
Invasive Plant Science and Management , Volume 13 , Issue 4 , December 2020 , pp. 288 - 292
Copyright
© The Author(s), 2020. Published by Cambridge University Press on behalf of the Weed Science Society of America

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Footnotes

Associate Editor: Steven S. Seefeldt, Washington State University

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