266 citations as recorded by crossref.

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13. A generalised dynamic model of leaf-level C3 photosynthesis combining light and dark reactions with stomatal behaviour C. Bellasio https://doi.org/10.1007/s11120-018-0601-1
14. The coupled effect of soil and atmospheric constraints on the vulnerability and water use of two desert riparian ecosystems Y. Bai et al. https://doi.org/10.1016/j.agrformet.2021.108701
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27. Priorities, opportunities, and challenges for integrating microorganisms into Earth system models for climate change prediction J. Lennon et al. https://doi.org/10.1128/mbio.00455-24
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41. Disentangling Thermal and Hydraulic Drivers of Stomatal Conductance Under Hot Versus Dry Vapour Pressure Deficit Increases Using Water‐Use Efficiency A. Potkay et al. https://doi.org/10.1111/pce.70781
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46. Accelerated photosynthesis routine in LPJmL4 J. Niebsch et al. https://doi.org/10.5194/gmd-16-17-2023
47. Local-scale evaluation of the simulated interactions between energy, water and vegetation in ISBA, ORCHIDEE and a diagnostic model J. De Pue et al. https://doi.org/10.5194/bg-19-4361-2022
48. Ozone and particle fluxes in a Mediterranean forest predicted by the AIRTREE model S. Fares et al. https://doi.org/10.1016/j.scitotenv.2019.05.109
49. Historic and projected changes in vapor pressure deficit suggest a continental‐scale drying of the United States atmosphere D. Ficklin & K. Novick https://doi.org/10.1002/2016JD025855
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51. Maximizing leaf carbon gain in varying saline conditions: An optimization model with dynamic mesophyll conductance R. Qiu & G. Katul https://doi.org/10.1111/tpj.14553
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55. Forest fluxes and mortality response to drought: model description (ORCHIDEE-CAN-NHA r7236) and evaluation at the Caxiuanã drought experiment Y. Yao et al. https://doi.org/10.5194/gmd-15-7809-2022
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57. Novel coupled permafrost–forest model (LAVESI–CryoGrid v1.0) revealing the interplay between permafrost, vegetation, and climate across eastern Siberia S. Kruse et al. https://doi.org/10.5194/gmd-15-2395-2022
58. Disjoining pressure driven transpiration of water in a simulated tree S. Poudel et al. https://doi.org/10.1016/j.jcis.2022.02.108
59. Cell size has pervasive effects on the functional composition and morphology of leaves: a case study in Rhododendron (Ericaceae) A. Dastpak et al. https://doi.org/10.1111/ppl.70054
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61. A multi-layer land surface energy budget model for implicit coupling with global atmospheric simulations J. Ryder et al. https://doi.org/10.5194/gmd-9-223-2016
62. The impact of rising CO2and acclimation on the response of US forests to global warming J. Sperry et al. https://doi.org/10.1073/pnas.1913072116
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69. Wood‐density has no effect on stomatal control of leaf‐level water use efficiency in an Amazonian forest J. Lamour et al. https://doi.org/10.1111/pce.14704
70. Variability of the surface energy balance in permafrost-underlain boreal forest S. Stuenzi et al. https://doi.org/10.5194/bg-18-343-2021
71. Quantifying Agricultural Drought Severity for Spring Wheat Based on Response of Leaf Photosynthetic Features to Progressive Soil Drying K. Zhang et al. https://doi.org/10.3390/atmos13040531
72. Towards species‐level forecasts of drought‐induced tree mortality risk M. De Kauwe et al. https://doi.org/10.1111/nph.18129
73. Systematic underestimation of type-specific ecosystem process variability in the Community Land Model v5 over Europe C. Poppe Terán et al. https://doi.org/10.5194/gmd-18-287-2025
74. Modeling land surface processes over a mountainous rainforest in Costa Rica using CLM4.5 and CLM5 J. Song et al. https://doi.org/10.5194/gmd-13-5147-2020
75. Comparing optimal and empirical stomatal conductance models for application in Earth system models P. Franks et al. https://doi.org/10.1111/gcb.14445
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77. Canopy-scale biophysical controls of transpiration and evaporation in the Amazon Basin K. Mallick et al. https://doi.org/10.5194/hess-20-4237-2016
78. Characteristic of Stomatal Conductance and Optimal Stomatal Behaviour in an Arid Oasis of Northwestern China T. Han et al. https://doi.org/10.3390/su14020968
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81. The Influence of Natural and Anthropogenic Forcing on Water and Energy Balance and on Photosynthesis J. Song et al. https://doi.org/10.3390/land10111151
82. Simulation of sugar beet growth in saline-alkali land: Controlling the synergistic effect of aluminum sulfate irrigation on photosynthesis X. Chen et al. https://doi.org/10.1016/j.eja.2025.127851
83. Incorporating a root water uptake model based on the hydraulic architecture approach in terrestrial systems simulations M. Sulis et al. https://doi.org/10.1016/j.agrformet.2019.01.034
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88. Testing water fluxes and storage from two hydrology configurations within the ORCHIDEE land surface model across US semi-arid sites N. MacBean et al. https://doi.org/10.5194/hess-24-5203-2020
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97. Developing and optimizing shrub parameters representing sagebrush (Artemisia spp.) ecosystems in the northern Great Basin using the Ecosystem Demography (EDv2.2) model K. Pandit et al. https://doi.org/10.5194/gmd-12-4585-2019
98. Enhancing the water use efficiency model predictions for Platycladus orientalis and Quercus variabilis: Integrating the dynamics of carbon dioxide concentration and soil water availability N. Zhao et al. https://doi.org/10.1016/j.scitotenv.2024.178179
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112. Similar temperature dependence of photosynthetic parameters in sun and shade leaves of three tropical tree species G. Hernández et al. https://doi.org/10.1093/treephys/tpaa015
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126. Modeling canopy-induced turbulence in the Earth system: a unified parameterization of turbulent exchange within plant canopies and the roughness sublayer (CLM-ml v0) G. Bonan et al. https://doi.org/10.5194/gmd-11-1467-2018
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131. A vertically discretised canopy description for ORCHIDEE (SVN r2290) and the modifications to the energy, water and carbon fluxes K. Naudts et al. https://doi.org/10.5194/gmd-8-2035-2015
132. Hydraulic redistribution driven by roots: Modeling and simulation case for the Pantanal F. Sallo et al. https://doi.org/10.1016/j.ecohyd.2019.12.005
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140. Root phenotyping and root water uptake calculation using soil water contents measured in a winter wheat field Z. Huang et al. https://doi.org/10.1016/j.agwat.2023.108607
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152. Predicting mangrove forest dynamics across a soil salinity gradient using an individual-based vegetation model linked with plant hydraulics M. Yoshikai et al. https://doi.org/10.5194/bg-19-1813-2022
153. Physiological and phenological adjustments in water and carbon fluxes of Aleppo pine forests under contrasting climates in the Eastern Mediterranean N. Markos et al. https://doi.org/10.1093/treephys/tpad125
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155. Modelling climate change responses in tropical forests: similar productivity estimates across five models, but different mechanisms and responses L. Rowland et al. https://doi.org/10.5194/gmd-8-1097-2015
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