Root volume distribution of maturing perennial grasses revealed by correcting for minirhizotron surface effects
Root architecture drives plant ecology and physiology, but current detection methods limit understanding of root placement within soil profiles. We developed a statistical model of root volume along depth gradients and used it to infer carbon storage potential of land-use changes from conventional agriculture to perennial bioenergy grasses.
We estimated root volume of maize-soybean rotation and three perennial grass systems (Miscanthus × giganteus, Panicum virgatum, tallgrass prairie mix) by Bayesian modeling from minirhizotron images, correcting for small images and near-surface underdetection. We monitored seasonal and inter-annual changes in root volume distribution, then validated our estimates against root mass from core samples.
The model explained 29% of root volume variation and validated well against core mass. Seventh-year perennials had greater belowground biomass than maize-soybean both in total (11-16×) and throughout the profile (2-17× at every depth < 120 cm). Perennials’ relative depth allocations were stable over time, while total root volume increased through five years. In 2012 a historically hot, dry summer damaged maize while perennials appeared resilient, suggesting their large-deep root systems aid drought resistance.
Perennial root systems are large, deep, and persistent. Converting row crops to perennial bioenergy grasses likely sequesters carbon in a large, potentially very stable, soil pool.
KeywordsMinirhizotron Stan Bayesian modeling Root volume Root allocation
We are grateful to R. J. Cody Markelz, John Brehm, and Laurel Brehm for statistical advice, and to Abisheik Pal, Christopher Sligar, Edwin Albrarran, Jacob Rosenthal, Michael Donovan, and Taylor Wright for their endless patience performing the root tracing. This research was funded by the Energy Biosciences Institute. The authors declare that they have no conflict of interest.
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