ArticleScientific reports2025
A lagrangian particle tracking approach of evapotranspiration partitioning to explore evaporation and transpiration travel time distributions in the root zone.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Evapotranspiration is a key component of the hydrological cycle, influencing water and biogeochemical cycles in the critical zone. Particularly, the travel time of evapotranspired water is critical for describing the origin and young water contribution to evapotranspiration, but is yet poorly understood. In this study, we revisited the Lagrangian particle-tracking model, EcoSLIM, to separate evaporation and transpiration particles using a mass balance approach. This separation allowed us to determine the travel time distribution of particles with different sources (i.e., rainfall, snowmelt, and pre-stored groundwater) captured by evaporation and transpiration. We validated the mass of evapotranspiration, evaporation and transpiration particles against those computed by the physically-based ParFlow-CLM model, which yields the expected mass of target fluxes by simulating the physical processes controlling water and energy balances. Our results demonstrated the high accuracy of the modified EcoSLIM in closing the mass balance, as evidenced by R
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.