276 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. Forestation in CMIP6: wide model spread in tree cover and land carbon uptake S. Egerer et al. https://doi.org/10.1088/1748-9326/adc93e
42. Quantifying forest canopy shading and turbulence effects on boundary layer ozone over the United States C. Wang et al. https://doi.org/10.5194/acp-25-16631-2025
43. 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
44. LPJ-GUESS/LSMv1.0: a next-generation land surface model with high ecological realism D. Martín Belda et al. https://doi.org/10.5194/gmd-15-6709-2022
45. Trading water for carbon C. Still https://doi.org/10.1038/s41561-018-0223-4
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47. Eco‐Physiological Constraints of Deep Soil Desiccation in Semiarid Tree Plantations X. Shao et al. https://doi.org/10.1029/2022WR034246
48. Accelerated photosynthesis routine in LPJmL4 J. Niebsch et al. https://doi.org/10.5194/gmd-16-17-2023
49. 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
50. 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
51. 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
52. Differential roles of perennial and annual grasses in semi-arid grassland response to precipitation repackaging: Insights from experiment-informed Community Land Model (CLM5.0) parameterization T. Hu et al. https://doi.org/10.1016/j.agrformet.2026.111079
53. 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
54. Data synergy between leaf area index and clumping index Earth Observation products using photon recollision probability theory J. Pisek et al. https://doi.org/10.1016/j.rse.2018.05.026
55. Heat Waves Alter Carbon Allocation and Increase Mortality of Aleppo Pine Under Dry Conditions B. Birami et al. https://doi.org/10.3389/ffgc.2018.00008
56. Canopy Height and Climate Dryness Parsimoniously Explain Spatial Variation of Unstressed Stomatal Conductance Y. Liu et al. https://doi.org/10.1029/2022GL099339
57. 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
58. Enhancing the Noah‐MP Ecosystem Response to Droughts With an Explicit Representation of Plant Water Storage Supplied by Dynamic Root Water Uptake G. Niu et al. https://doi.org/10.1029/2020MS002062
59. 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
60. Disjoining pressure driven transpiration of water in a simulated tree S. Poudel et al. https://doi.org/10.1016/j.jcis.2022.02.108
61. 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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63. 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
64. 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
65. Modelling water fluxes in plants: from tissues to biosphere M. Mencuccini et al. https://doi.org/10.1111/nph.15681
66. Measurements of Atmosphere–Biosphere Exchange of Oxidized Nitrogen and Implications for the Chemistry of Atmospheric NOx E. Delaria & R. Cohen https://doi.org/10.1021/acs.accounts.3c00090
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68. The effect of soil type, fruit load and shaded area on ‘Hass’ avocado (Persea americana Mill.) water use and crop coefficients T. Kaneko et al. https://doi.org/10.1016/j.agwat.2022.107519
69. TROLL 4.0: representing water and carbon fluxes, leaf phenology, and intraspecific trait variation in a mixed-species individual-based forest dynamics model – Part 1: Model description I. Maréchaux et al. https://doi.org/10.5194/gmd-18-5143-2025
70. Quantifying Water Use Efficiency in Strawberry Production Under Climatic Stress: A Review of Equations, Trends, and Modeling Tools M. Maskey https://doi.org/10.3390/horticulturae12081015
71. Improving the theoretical underpinnings of process‐based hydrologic models M. Clark et al. https://doi.org/10.1002/2015WR017910
72. 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
73. Variability of the surface energy balance in permafrost-underlain boreal forest S. Stuenzi et al. https://doi.org/10.5194/bg-18-343-2021
74. 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
75. Towards species‐level forecasts of drought‐induced tree mortality risk M. De Kauwe et al. https://doi.org/10.1111/nph.18129
76. 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
77. 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
78. Comparing optimal and empirical stomatal conductance models for application in Earth system models P. Franks et al. https://doi.org/10.1111/gcb.14445
79. Influence of vapour pressure deficit and CO2 on the thermal sensitivity of stomatal function in tropical trees A. Cheesman et al. https://doi.org/10.1111/nph.71249
80. 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
81. 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
82. Biophysical impacts of Earth greening largely controlled by aerodynamic resistance C. Chen et al. https://doi.org/10.1126/sciadv.abb1981
83. When a cuvette is not a canopy: A caution about measuring leaf temperature during gas exchange measurements C. Still et al. https://doi.org/10.1016/j.agrformet.2019.107737
84. 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
85. 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
86. 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
87. Potential of constructing all‐encompassing soil–plant‐atmosphere‐continuum stations and datasets from meteorological, flux, soil moisture station networks and plant‐relevant observations H. Shi https://doi.org/10.1002/hyp.15284
88. Plant Osmoregulation as an Emergent Water‐Saving Adaptation S. Perri et al. https://doi.org/10.1002/2017WR022319
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91. 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
92. Direct Penman–Monteith parameterization for estimating stomatal conductance and modeling sap flow J. Kučera et al. https://doi.org/10.1007/s00468-016-1513-3
93. Stomatal Parameters in a Changing Environment A. Potkay et al. https://doi.org/10.1111/pce.15293
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99. Changes in the Shadow: The Shifting Role of Shaded Leaves in Global Carbon and Water Cycles Under Climate Change L. He et al. https://doi.org/10.1029/2018GL077560
100. 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
101. 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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114. Does predictability of fluxes vary between FLUXNET sites? N. Haughton et al. https://doi.org/10.5194/bg-15-4495-2018
115. 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
116. Seasonal Evolution of Canopy Stomatal Conductance for a Prairie and Maize Field in the Midwestern United States from Continuous Carbonyl Sulfide Fluxes M. Berkelhammer et al. https://doi.org/10.1029/2019GL085652
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123. Optimal stomatal behavior with competition for water and risk of hydraulic impairment A. Wolf et al. https://doi.org/10.1073/pnas.1615144113
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128. A Comparison of the Diel Cycle of Modeled and Measured Latent Heat Flux During the Warm Season in a Colorado Subalpine Forest S. Burns et al. https://doi.org/10.1002/2017MS001248
129. Climate-resilient mountain orchard systems: A cross-scale framework linking microclimate regulation, energy-water balance, and G × E × M–EVH climate-risk management T. Shen et al. https://doi.org/10.1016/j.agsy.2026.104931
130. 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
131. Improvement of modeling plant responses to low soil moisture in JULESvn4.9 and evaluation against flux tower measurements A. Harper et al. https://doi.org/10.5194/gmd-14-3269-2021
132. Anisohydric behavior linked to persistent hydraulic damage and delayed drought recovery across seven North American tree species S. Kannenberg et al. https://doi.org/10.1111/nph.15699
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136. 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
137. 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
138. Lateral subsurface flow modulates forest mortality risk to future climate and elevated CO2 X. Tai et al. https://doi.org/10.1088/1748-9326/ac1135
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141. Representing nighttime and minimum conductance in CLM4.5: global hydrology and carbon sensitivity analysis using observational constraints D. Lombardozzi et al. https://doi.org/10.5194/gmd-10-321-2017
142. AngleCam: Predicting the temporal variation of leaf angle distributions from image series with deep learning T. Kattenborn et al. https://doi.org/10.1111/2041-210X.13968
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144. 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
145. Plant responses to decadal scale increments in atmospheric CO2 concentration: comparing two stomatal conductance sampling methods S. Batke et al. https://doi.org/10.1007/s00425-020-03343-z
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148. Estimation of Community Land Model parameters for an improved assessment of net carbon fluxes at European sites H. Post et al. https://doi.org/10.1002/2015JG003297
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156. 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
157. 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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