Deep subsurface water can sustain giant sequoias

Giant sequoias (Sequoiadendron giganteum) are adapted to a narrow ecological niche where they endure long, dry summers, during which their water use may exceed ~2 m3/day. To meet this demand, sequoias rely on subsurface water stores, the volume and distribution of which remains uncharacterized. We use elastic full-waveform inversion and geostatistical rock physics modeling to map and quantify subsurface water content in the Mariposa Grove of Giant Sequoias in Yosemite National Park. Our results show zones of high water content within the upper 2 m of the subsurface near drainages, whereas on hillslopes and ridges, areas of high water content tend to occur deeper or in more isolated zones. Additional analysis of the water content models shows that to avoid water stress throughout the summer, hillslope and ridgetop sequoias probably access substantial volumes of deep ( > 2 m) rock moisture from weathered bedrock, implying that the extensive rooting systems of giant sequoias probe deeper into the subsurface than previously thought. Giant sequoias on hillslopes and ridgetops can access rock moisture stored in weathered bedrock over 2 m deep, helping them avoid summer water stress, suggests a study using hydrogeophysics to quantify subsurface water content in the Yosemite National Park, USA.

Authors

Institutions

Publication Details

Journal
Communications Earth & Environment
Published
2026-09-05
DOI
https://doi.org/10.1038/s43247-026-04034-5
Primary Topic
Biocrusts and Microbial Ecology
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Deep subsurface water can sustain giant sequoias

W. Steven Holbrook, Benjamin J Eppinger, C. S. Riebe, Sean P. Bemis et al.
Communications Earth & Environment
Biocrusts and Microbial Ecology
article

Deep subsurface water can sustain giant sequoias

W. Steven Holbrook, Benjamin J Eppinger, C. S. Riebe, Sean P. Bemis, Claire E. Lukens, Darío Graña, Denise Burgett, Shiv M. Gupta, Anya R. Gupta, Anthony R. Ambrose
article en

Abstract

Giant sequoias (Sequoiadendron giganteum) are adapted to a narrow ecological niche where they endure long, dry summers, during which their water use may exceed ~2 m3/day. To meet this demand, sequoias rely on subsurface water stores, the volume and distribution of which remains uncharacterized. We use elastic full-waveform inversion and geostatistical rock physics modeling to map and quantify subsurface water content in the Mariposa Grove of Giant Sequoias in Yosemite National Park. Our results show zones of high water content within the upper 2 m of the subsurface near drainages, whereas on hillslopes and ridges, areas of high water content tend to occur deeper or in more isolated zones. Additional analysis of the water content models shows that to avoid water stress throughout the summer, hillslope and ridgetop sequoias probably access substantial volumes of deep ( > 2 m) rock moisture from weathered bedrock, implying that the extensive rooting systems of giant sequoias probe deeper into the subsurface than previously thought. Giant sequoias on hillslopes and ridgetops can access rock moisture stored in weathered bedrock over 2 m deep, helping them avoid summer water stress, suggests a study using hydrogeophysics to quantify subsurface water content in the Yosemite National Park, USA.

Communications Earth & Environment
University of Wyoming (US), University of California, Merced (US), Tahoe Forest Hospital (US), Virginia Tech (US)
National Science Foundation
Zero hunger
Openalex Percentile: Top 7%
Biocrusts and Microbial Ecology
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.