Yanlan Liu
Environmental Science · The Ohio State University
Publications
77
Citations
3,165
Est. group size
~2
Recurring co-author estimate
Active years
18
Publishing since 2009
Yanlan Liu's research focuses on how plants and forests respond to water stress and drought, using models of plant hydraulics (how water moves through plants) and land-surface models to predict processes like evapotranspiration (water loss from soil and plants to the atmosphere) and forest carbon dynamics. The work spans scales from individual tree traits to global satellite-based assessments of the land carbon sink and forest resilience to disturbances such as drought and storms. Prospective students would likely engage with ecosystem modeling, remote sensing, and data analysis connecting plant physiology to broader climate and hydrology questions.
Publication output has grown fairly steadily over the past decade, rising from just 1 paper in 2017 to a peak of 14 in 2026, with some year-to-year fluctuation but an overall increasing trend.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Parameterizing Stomatal Conductance Based on Trait‐Environment Relationships Often Improves Land Surface Model Predictions of Evapotranspiration and Streamflow
Journal of Advances in Modeling Earth Systems · 2026
- Scaling plant hydraulic traits to predict ecosystem fluxes under drought
New Phytologist · 2026
- Increasing atmospheric dryness and storms accelerates biomass turnover in Amazonian forests
Nature Climate Change · 2026
- Multilayer canopy model outperforms big-leaf model for evapotranspiration predictions under high water and heat stress conditions
2026
- Climate‐Driven Hydraulic Traits Shift in Natural and Planted Forests: Patterns, Drivers, and Future Acclimation
Earth s Future · 2026
- wls_pht
Zenodo (CERN European Organization for Nuclear Research) · 2026
- Mechanisms of egg white delaying the retrogradation of rice bread during short-term low-temperature storage
Agricultural Products Processing and Storage · 2026
- Codes and data for detecting structural overshoot in boreal forests across northwestern North America
Zenodo (CERN European Organization for Nuclear Research) · 2026
- Codes and data for detecting structural overshoot in boreal forests across northwestern North America
Zenodo (CERN European Organization for Nuclear Research) · 2026
- Modeled and observed evapotranspiration time series for 28 flux sites (CLM multilayer canopy vs. single-layer canopy)
Zenodo (CERN European Organization for Nuclear Research) · 2026
- Modeled and observed evapotranspiration time series for 28 flux sites (CLM multilayer canopy vs. single-layer canopy)
Zenodo (CERN European Organization for Nuclear Research) · 2026
- Mechanisms and scales in modeling forest responses to changing disturbance regimes
New Phytologist · 2026
- Structural overshoot erodes boreal forest resilience
Research Square · 2026
- MitochondrialRedox Cascade-Directed Covalent NIRFluorogenic Imaging of Therapy-Induced Senescence Integrates Tumorand Host Responses
Figshare · 2026
- Modeling optimal nitrogen application rate and placement for maximizing wheat yield in a semi-arid environment using APSIM
Agricultural Water Management · 2025
- Figshare×7
- Zenodo (CERN European Organization for Nuclear Research)×7
- Research Square×6
- Nature Climate Change×4
- Water Resources Research×3
- Taehee Hwang
Environmental Science · Indiana University
- Ana Maria Restrepo Acevedo
Environmental Science · Indiana University
- Golnazalsadat Mirfenderesgi
Environmental Science · The Ohio State University
- Yue Li
Environmental Science · Indiana University
- Kimberly A. Novick
Environmental Science · Indiana University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 19, 2026.
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