Publications

Advised students/scholars are underscored.

2024

DRMAT: A multivariate algorithm for detecting breakpoints in multispectral time series
Li, Y., Wulder, M.A., Zhu, Z., Verbesselt, J., Masiliūnas, D., Liu, Y., Bohrer, G., Cai, Y., Zhou, Y., Ding, Z., Zhao, K. (2024). DRMAT: A multivariate algorithm for detecting breakpoints in multispectral time series. Remote Sensing of Environment, 315, 114402.

Large divergence of projected high latitude vegetation composition and productivity due to functional trait uncertainty
Liu, Y.Holm, J. A.Koven, C. D.Salmon, V. G.Rogers, A., & Torn, M. S. (2024). Large divergence of projected high latitude vegetation composition and productivity due to functional trait uncertaintyEarth’s Future12, e2024EF004563.

Structural constraints in current stomatal conductance models preclude accurate prediction of evapotranspiration
Raghav, P.Kumar, M., & Liu, Y. (2024). Structural constraints in current stomatal conductance models preclude accurate prediction of evapotranspirationWater Resources Research60, e2024WR037652.

Explicit Consideration of Plant Xylem Hydraulic Transport Improves the Simulation of Crop Response to Atmospheric Dryness in the U.S. Corn Belt
Yang, Y., Guan, K.Peng, B.Liu, Y., & Pan, M. (2024). Explicit consideration of plant xylem hydraulic transport improves the simulation of crop response to atmospheric dryness in the U.S. Corn BeltWater Resources Research60, e2023WR036468.

2023

Crop yield prediction via explainable AI and interpretable machine learning: Dangers of black box models for evaluating climate change impacts on crop yield
Hu, T., Zhang, X., Bohrer, G., Liu, Y., Zhou, Y., Martin, J., Li., Y., & Zhao, K. (2023). Crop yield prediction via explainable AI and interpretable machine learning: Dangers of black box models for evaluating climate change impacts on crop yield. Agricultural and Forest Meteorology336, 109458.

2022

Evapotranspiration frequently increases during droughts
Zhao, M., A, G., Liu, Y., & Kongings, A.G. (2022). Evapotranspiration frequently increases during droughts. Nature Climate Change, 12, 1024–1030.

Hydraulic sensitivity and stomatal regulation of two desert riparian species
Bai, Y.Liu, Y.Kueppers, L. M.Li, E.Zhang, C.Yu, K., Yang, X., & Li, X. (2022). Hydraulic sensitivity and stomatal regulation of two desert riparian speciesJournal of Geophysical Research: Biogeosciences127, e2022JG006971.

Increasing sensitivity of dryland vegetation greenness to precipitation due to rising atmospheric CO2
Zhang, Y., Gentine, P., Luo, X., Lian, X., Liu, Y., Zhou, S., Michalak, A.M., Sun, W., Fisher, J.B., Piao, S., & Keenan, T.F. (2022). Increasing sensitivity of dryland vegetation greenness to precipitation due to rising atmospheric CO2. Nature Communications, 13, 4875.

Canopy height and climate dryness parsimoniously explain spatial variation of unstressed stomatal conductance
Liu, Y., Flournoy, O., Zhang, Q., Novick, K.A., Koster, R.D., & Konings, A.G. (2022). Canopy height and climate dryness parsimoniously explain spatial variation of unstressed stomatal conductance. Geophysical Research Letters, 49, e2022GL099339.

Dispersal and fire limit Arctic shrub expansion
Liu, Y., Riley, W.J., Keenan, T.F., Mekonnen, Z.A., Holm, J.A., Zhu, Q., & Torn, M.S. (2022). Dispersal and fire limit Arctic shrub expansion. Nature Communications, 13, 3843.

Impacts of forest loss on local climate across the conterminous United States: Evidence from satellite time-series observations
Li, Y., Liu, Y., Bohrer, G., Cai, Y., Wilson, A., Hu, T., Wang, Z., & Zhao, K. (2022). Impacts of forest loss on local climate across the conterminous United States: Evidence from satellite time-series observations. Science of The Total Environment, 802, p.149651.

2021

Reduced ecosystem resilience quantifies fine-scale heterogeneity in tropical forest mortality responses to drought
Wu, D., Vargas, G.G., Powers, J.S., McDowell, N.G., Becknell, J.M., Pérez-Aviles, D., Medvigy, D., Liu, Y., Katul, G.G., Calvo-Alvarado, J.C., Calvo-Obando, A., Sanchez-Azofeifa, A., & Xu, X. (2021). Reduced ecosystem resilience quantifies fine-scale heterogeneity in tropical forest mortality responses to drought. Global Change Biology, 282081– 2094.

The coupled effect of soil and atmospheric constraints on the vulnerability and water use of two desert riparian ecosystems.
Bai, Y., Liu, Y., Kueppers, L. M., Feng, X., Yu, K., Yang, X., Li, X., & Huang, J. (2021). The coupled effect of soil and atmospheric constraints on the vulnerability and water use of two desert riparian ecosystems. Agricultural and Forest Meteorology, 311, 108701.

Detecting Forest Response to Droughts with Global Observations of Vegetation Water Content
Konings, A. G., Saatchi, S. S., Frankenberg, C., Keller, M., Leshyk, V., Anderegg, W. R., …, Liu, Y., … & Zuidema, P. A. (2021). Detecting Forest Response to Droughts with Global Observations of Vegetation Water Content. Global Change Biology, 276005– 6024.

Global ecosystem-scale plant hydraulic traits retrieved using model–data fusion
Liu, Y., Holtzman, N. M., & Konings, A. G. (2021). Global ecosystem-scale plant hydraulic traits retrieved using model–data fusion, Hydrology and Earth System Sciences, 25, 2399–2417.

Arctic tundra shrubification: a review of mechanisms and impacts on ecosystem carbon balance
Mekonnen, Z. A., Riley, W. J., Berner, L. T., Bouskill, N. J., Torn, M. S., Iwahana, G., Breen, A. L., Myers-Smith, I. H., Criado, M. G., Liu, Y., Euskirchen, E. S., Goetz, S. J., Mack, M. C., & Grant, R. F. (2021). Arctic tundra shrubification: a review of mechanisms and impacts on ecosystem carbon balance. Environmental Research Letters, 16(5), 053001.

2020

Plant hydraulics accentuates the effect of atmospheric moisture stress on transpiration
Liu, Y., Kumar, M., Katul, G. G., Feng, X., & Konings, A. G. (2020). Plant hydraulics accentuates the effect of atmospheric moisture stress on transpiration. Nature Climate Change, 10, 691–695.

Forecasting semi-arid biome shifts in the anthropocene
Kulmatiski, A., Yu, K., Mackay, D. S., Holdrege, M. C., Staver, A. C., Parolari, A. J., Liu, Y., Majumder, S., & Trugman, A. T. (2020). Forecasting semi-arid biome shifts in the Anthropocene. The New Phytologist, 226(2), 351–361.

2019

Reduced resilience as an early warning signal of forest mortality
Liu, Y., Kumar, M., Katul, G. G., & Porporato, A. (2019). Reduced resilience as an early warning signal of forest mortality. Nature Climate Change, 9, 880-885.

A dynamic optimality principle for water use strategies explains isohydric to anisohydric plant responses to drought
Mrad, A., Sevanto, S., Domec, J.-C., Liu, Y., Nakad, M., & Katul, G. (2019). A Dynamic Optimality Principle for Water Use Strategies Explains Isohydric to Anisohydric Plant Responses to Drought. Frontiers in Forests and Global Change, 2, 49.

2018

Using nested discretization for a detailed yet computationally efficient simulation of local hydrology in a distributed hydrologic model
Wang, D., Liu, Y., & Kumar, M. (2018). Using nested discretization for a detailed yet computationally efficient simulation of local hydrology in a distributed hydrologic model. Scientific Reports, 8(1), 5785.

2017

Increasing atmospheric humidity and CO2 concentration alleviate forest mortality risk
Liu, Y., Parolari, A. J., Kumar, M., Huang, C.-W., Katul, G. G., & Porporato, A. (2017). Increasing atmospheric humidity and CO2 concentration alleviate forest mortality risk. Proceedings of the National Academy of Sciences of the United States of America, 114(37), 9918–9923.

2016

Role of meteorological controls on interannual variations in wet-period characteristics of wetlands
Liu, Y., & Kumar, M.(2016). Role of meteorological controls in interannual variations in wet-period characteristics of wetlands. Water Resources Research, 52(7): 5056-5074.

2015

Responses of Natural Vegetation Dynamics to Climate Drivers in China from 1982 to 2011
Liu, Y., & Lei, H. (2015). Responses of natural vegetation dynamics to climate drivers in China from 1982 to 2011. Remote Sensing, 7(8): 10243-10268.