Search NASA⌕ Search

DOE OSTI · 1787458

Root traits as drivers of plant and ecosystem functioning: current understanding, pitfalls and future research needs

Abstract

The effects of plants on the biosphere, atmosphere and geosphere are key determinants of terrestrial ecosystem functioning. However, despite substantial progress made regarding plant belowground components, we are still only beginning to explore the complex relationships between root traits and functions. Drawing on the literature in plant physiology, ecophysiology, ecology, agronomy and soil science, we reviewed 24 aspects of plant and ecosystem functioning and their relationships with a number of root system traits, including aspects of architecture, physiology, morphology, anatomy, chemistry, biomechanics and biotic interactions. Based on this assessment, we critically evaluated the current strengths and gaps in our knowledge, and identify future research challenges in the field of root ecology. Most importantly, we found that belowground traits with the broadest importance in plant and ecosystem functioning are not those most commonly measured. Also, the estimation of trait relative importance for functioning requires us to consider a more comprehensive range of functionally relevant traits from a diverse range of species, across environments and over time series. Finally, we also advocate that establishing causal hierarchical links among root traits will provide a hypothesis-based framework to identify the most parsimonious sets of traits with the strongest links on functions, and to link genotypes to plant and ecosystem functioning.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Freschet, Grégoire T., Roumet, Catherine, Comas, Louise H., Weemstra, Monique, Bengough, A. Glyn, Rewald, Boris, Bardgett, Richard D., De Deyn, Gerlinde B., Johnson, David, Klimešová, Jitka, Lukac, Martin, McCormack, M. Luke, Meier, Ina C., Pagès, Loïc, Poorter, Hendrik, Prieto, Ivan, Wurzburger, Nina, Zadworny, Marcin, Bagniewska‐Zadworna, Agnieszka, Blancaflor, Elison B., Brunner, Ivano, Gessler, Arthur, Hobbie, Sarah E., Iversen, Colleen M., Mommer, Liesje, Picon‐Cochard, Catherine, Postma, Johannes A., Rose, Laura, Ryser, Peter, Scherer‐Lorenzen, Michael, Soudzilovskaia, Nadejda A., Sun, Tao, Valverde‐Barrantes, Oscar J., Weigelt, Alexandra, York, Larry M., Stokes, Alexia. 2020-11-07. Root traits as drivers of plant and ecosystem functioning: current understanding, pitfalls and future research needs. https://doi.org/10.1111/nph.17072

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related reports

Water4Energy Step-1 Band-M Ready-to-Train Samples for TVA Weeks-to-Years Prediction, Version 0

AI-ready Band-M (monthly) labelled training pack for the Water4Energy Genesis Task-1 project on weeks-to-years prediction of Tennessee Valley temperature and precipitation. The deposit includes leakage-aware issue-time samples (samples_M_v0.nc; N=486), train-only scalers, issue-time split table, supporting monthly panels, and Python generation scripts to recreate the pack from the companion Tier-1 raw observation collection (https://doi.org/10.13139/ORNLNCCS/3398576). Each sample pairs a 12-month lookback of teleconnection indices and SST box anomalies with TVA-mean ERA5 anomaly targets (t2m, tp, msl) at leads 1–3 months.

54 ENVIRONMENTAL SCIENCES↗

Multi-Angle Snowflake Camera, particle analysis

The c1 level data product for the Mutli-Angle Snowflake Camera contains snowflake fall speeds and particle size, among other analysis for images associated with each hydrometeor.

54 ENVIRONMENTAL SCIENCES↗

Multi-Angle Snowflake Camera, time bins

The c1 level data product for the Mutli-Angle Snowflake Camera contains snowflake fall speeds and particle size, among other analysis for images associated with each hydrometeor.

54 ENVIRONMENTAL SCIENCES↗