2024
Lapides, D; Hahm, WJ; Rempe, D; Dralle, DN
Missing snowmelt runoff following drought explained by root-zone storage deficits Journal Article
In: PNAS, 2024.
Links | BibTeX | Tags: Drought, ERCZO, root zone, snow melt
@article{Lapides2022,
title = {Missing snowmelt runoff following drought explained by root-zone storage deficits},
author = {D Lapides and WJ Hahm and D Rempe and DN Dralle},
doi = {http://doi.org/10.31223/X5591F},
year = {2024},
date = {2024-06-30},
urldate = {2024-06-30},
journal = {PNAS},
keywords = {Drought, ERCZO, root zone, snow melt},
pubstate = {published},
tppubtype = {article}
}
2023
Tune, AK; Druhan, JL; Lawrence, CR; Rempe, DM
Deep root activity overprints weathering of petrogenic organic carbon in shale Journal Article
In: Earth and Planetary Science Letters, vol. 607, no. 118048, 2023.
Links | BibTeX | Tags: ERCZO, root zone, Weathering
@article{Tune2023,
title = {Deep root activity overprints weathering of petrogenic organic carbon in shale},
author = {AK Tune and JL Druhan and CR Lawrence and DM Rempe},
editor = {A Jacobson},
doi = {https://doi.org/10.1016/j.epsl.2023.118048},
year = {2023},
date = {2023-04-01},
urldate = {2023-04-01},
journal = {Earth and Planetary Science Letters},
volume = {607},
number = {118048},
keywords = {ERCZO, root zone, Weathering},
pubstate = {published},
tppubtype = {article}
}
2021
McCormick, E.; Dralle, D. N.; Hahm, W. J.; Tune, A. K.; Schmidt, L. M.; Chadwick, K. D.; Rempe, D. M.
Evidence for widespread woody plant use of water stored in bedrock Journal Article
In: Nature, 2021.
Abstract | Links | BibTeX | Tags: bedrock water, ERCZO, root zone, transpiration, woody plants
@article{McCormick2021,
title = {Evidence for widespread woody plant use of water stored in bedrock},
author = {E. McCormick and D. N. Dralle and W. J. Hahm and A. K. Tune and L. M. Schmidt and K. D. Chadwick and D. M. Rempe},
doi = {https://doi.org/10.1038/s41586-021-03761-3},
year = {2021},
date = {2021-09-08},
urldate = {2021-01-14},
journal = {Nature},
abstract = {Woody plant transpiration is a major control on Earth’s climate system, streamflow, and human water supply. Soils are widely considered to be the primary reservoir of water for woody plants, however, plants also access water stored in the fractures and pores of bedrock, either as rock moisture (water stored in the unsaturated zone) (Schwinning, 2010) or bedrock groundwater (below the water table) (Miller et al., 2010). Bedrock as a water source for plants has not been evaluated over large scales, and consequently, its importance to terrestrial water and carbon cycling is poorly known (Fan et al., 2019). Here, we show that woody plants routinely access significant quantities of water stored in bedrock —commonly as rock moisture —for transpiration across diverse climates and biomes. For example, in California, the volume of bedrock water transpired by woody vegetation annually exceeds that stored in man-made reservoirs, and woody vegetation that withdraws bedrock water accounts for over 50% of the aboveground carbon stocks in the state. Our findings show that bedrock water storage dynamics are a critical element of terrestrial water cycling and therefore necessary to capture the effect of shifting climate on woody ecosystems, above- and belowground carbon storage, and water resources.},
keywords = {bedrock water, ERCZO, root zone, transpiration, woody plants},
pubstate = {published},
tppubtype = {article}
}
Woody plant transpiration is a major control on Earth’s climate system, streamflow, and human water supply. Soils are widely considered to be the primary reservoir of water for woody plants, however, plants also access water stored in the fractures and pores of bedrock, either as rock moisture (water stored in the unsaturated zone) (Schwinning, 2010) or bedrock groundwater (below the water table) (Miller et al., 2010). Bedrock as a water source for plants has not been evaluated over large scales, and consequently, its importance to terrestrial water and carbon cycling is poorly known (Fan et al., 2019). Here, we show that woody plants routinely access significant quantities of water stored in bedrock —commonly as rock moisture —for transpiration across diverse climates and biomes. For example, in California, the volume of bedrock water transpired by woody vegetation annually exceeds that stored in man-made reservoirs, and woody vegetation that withdraws bedrock water accounts for over 50% of the aboveground carbon stocks in the state. Our findings show that bedrock water storage dynamics are a critical element of terrestrial water cycling and therefore necessary to capture the effect of shifting climate on woody ecosystems, above- and belowground carbon storage, and water resources.
Dralle, D. N.; Hahm, W. J.; Chadwick, K. D.; McCormick, E.; Rempe, D. M.
Technical note: Accounting for snow in the estimation of root zone water storage capacity from precipitation and evapotranspiration fluxes Journal Article
In: Hydrology and Earth System Sciences, vol. 25, no. 5, pp. 2861–2867, 2021.
Abstract | Links | BibTeX | Tags: ERCZO, evapotranspiration, hydrologic modeling, root zone, snow melt, water storage
@article{Dralle2021,
title = {Technical note: Accounting for snow in the estimation of root zone water storage capacity from precipitation and evapotranspiration fluxes},
author = {D. N. Dralle and W. J. Hahm and K. D. Chadwick and E. McCormick and D. M. Rempe},
doi = {10.5194/hess-25-2861-2021},
year = {2021},
date = {2021-05-27},
journal = {Hydrology and Earth System Sciences},
volume = {25},
number = {5},
pages = {2861–2867},
abstract = {A common parameter in hydrological modeling frameworks is root zone water storage capacity (SR[L]), which mediates plant water availability during dry periods as well as the partitioning of rainfall between runoff and evapotranspiration. Recently, a simple flux-tracking-based approach was introduced to estimate the value of SR (Wang-Erlandsson et al., 2016). Here, we build upon this original method, which we argue may overestimate SR in snow-dominated catchments due to snow melt and evaporation processes. We propose a simple extension to the method presented by Wang-Erlandsson et al. (2016) and show that the approach provides a lower estimate of SR in snow-dominated watersheds. This SR dataset is available at a 1 km resolution for the continental USA, along with the full analysis code, on the Google Colab and Earth Engine platforms. We highlight differences between the original and new methods across the rain–snow transition in the Southern Sierra Nevada, California, USA. As climate warms and precipitation increasingly arrives as rain instead of snow, the subsurface may be an increasingly important reservoir for storing plant-available water between wet and dry seasons; therefore, improved estimates of SR will better clarify the future role of the subsurface as a storage reservoir that can sustain forests during seasonal dry periods and episodic drought.},
keywords = {ERCZO, evapotranspiration, hydrologic modeling, root zone, snow melt, water storage},
pubstate = {published},
tppubtype = {article}
}
A common parameter in hydrological modeling frameworks is root zone water storage capacity (SR[L]), which mediates plant water availability during dry periods as well as the partitioning of rainfall between runoff and evapotranspiration. Recently, a simple flux-tracking-based approach was introduced to estimate the value of SR (Wang-Erlandsson et al., 2016). Here, we build upon this original method, which we argue may overestimate SR in snow-dominated catchments due to snow melt and evaporation processes. We propose a simple extension to the method presented by Wang-Erlandsson et al. (2016) and show that the approach provides a lower estimate of SR in snow-dominated watersheds. This SR dataset is available at a 1 km resolution for the continental USA, along with the full analysis code, on the Google Colab and Earth Engine platforms. We highlight differences between the original and new methods across the rain–snow transition in the Southern Sierra Nevada, California, USA. As climate warms and precipitation increasingly arrives as rain instead of snow, the subsurface may be an increasingly important reservoir for storing plant-available water between wet and dry seasons; therefore, improved estimates of SR will better clarify the future role of the subsurface as a storage reservoir that can sustain forests during seasonal dry periods and episodic drought.