A continental scale analysis reveals widespread root bimodality

An improved understanding of root vertical distribution is crucial for assessing plant-soil-atmosphere interactions and their influence on the land carbon sink. Here, we analyze a continental-scale dataset of fine roots reaching 2 meters depth, spanning from Alaskan tundra to Puerto Rican forests. Contrary to the expectation that fine root abundance decays exponentially with depth, we found root bimodality at ~20% of 44 sites, with secondary biomass peaks often below 1 m. Root bimodality was more likely in areas with low total fine root biomass and was more frequent in shrublands than grasslands. Notably, secondary peaks coincided with high soil nitrogen content at depth. Our analyses suggest that deep soil nutrients tend to be underexploited, while root bimodality offers plants a mechanism to tap into deep soil resources. Our findings add to the growing recognition that deep soil dynamics are systematically overlooked, and calls for more research attention to this deep frontier in the face of global environmental change.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2025-06-17
DOI
https://doi.org/10.1038/s41467-025-60055-2
Citations
9
Primary Topic
Geology and Paleoclimatology Research
Type
article
Field-Weighted Citation Impact
11.71

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A continental scale analysis reveals widespread root bimodality

Samantha R. Weintraub, Shersingh Joseph Tumber‐Dávila, Xingchen Wang, Robert B. Jackson et al.
9 citations
Nature Communications
Geology and Paleoclimatology Research
11.71
article

A continental scale analysis reveals widespread root bimodality

Samantha R. Weintraub, Shersingh Joseph Tumber‐Dávila, Xingchen Wang, Robert B. Jackson, Sili Wang, Avni Malhotra, Mingzhen Lu, Michael McCormack
article en
9 citations

Abstract

An improved understanding of root vertical distribution is crucial for assessing plant-soil-atmosphere interactions and their influence on the land carbon sink. Here, we analyze a continental-scale dataset of fine roots reaching 2 meters depth, spanning from Alaskan tundra to Puerto Rican forests. Contrary to the expectation that fine root abundance decays exponentially with depth, we found root bimodality at ~20% of 44 sites, with secondary biomass peaks often below 1 m. Root bimodality was more likely in areas with low total fine root biomass and was more frequent in shrublands than grasslands. Notably, secondary peaks coincided with high soil nitrogen content at depth. Our analyses suggest that deep soil nutrients tend to be underexploited, while root bimodality offers plants a mechanism to tap into deep soil resources. Our findings add to the growing recognition that deep soil dynamics are systematically overlooked, and calls for more research attention to this deep frontier in the face of global environmental change.

Nature CommunicationsVol. 16(1)
Boston College (US), Dartmouth College (US), Santa Fe Institute (US), Harvard University (US), Pacific Northwest National Laboratory (US), University of Zurich (CH), Morton Arboretum (US), National Ecological Observatory Network (US), Dana-Farber/Harvard Cancer Center (US), New York University (US), Columbia University (US), Stanford University (US)
National Science Foundation, U.S. Department of Energy, Battelle, Santa Fe Institute, Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung, Office of Science, Biological and Environmental Research, Pacific Northwest National Laboratory
Climate action
Openalex Percentile: Top 1%
Geology and Paleoclimatology Research
11.71
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.