64 citations as recorded by crossref.

1. Implementation of Yale Interactive terrestrial Biosphere model v1.0 into GEOS-Chem v12.0.0: a tool for biosphere–chemistry interactions Y. Lei et al. https://doi.org/10.5194/gmd-13-1137-2020
2. Global historical soybean and wheat yield loss estimates from ozone pollution considering water and temperature as modifying effects B. Schauberger et al. https://doi.org/10.1016/j.agrformet.2018.11.004
3. Species-Specific Contribution to Atmospheric Carbon and Pollutant Removal: Case Studies in Two Italian Municipalities I. Zappitelli et al. https://doi.org/10.3390/atmos14020285
4. Interannual variability of ozone fluxes in a broadleaf deciduous forest in Italy G. Gerosa et al. https://doi.org/10.1525/elementa.2021.00105
5. Differential response pathways of Picea asperata seedlings from different provenances to altitudinal transfer J. Xie et al. https://doi.org/10.3389/fpls.2025.1679777
6. Impact Assessment of Ozone Absorbed through Stomata on Photosynthetic Carbon Dioxide Uptake by Japanese Deciduous Forest Trees: Implications for Ozone Mitigation Policies Y. Kinose et al. https://doi.org/10.3390/f11020137
7. Assessing ozone pollution and climate change impacts on winter wheat: flux modeling vs. dose-response modeling X. Zhu et al. https://doi.org/10.1016/j.jenvman.2025.125767
8. Modelling impacts of ozone on gross primary production across European forest ecosystems using JULES I. Vieira et al. https://doi.org/10.5194/bg-22-6205-2025
9. Ozone dry deposition through plant stomata: multi-model comparison with flux observations and the role of water stress as part of AQMEII4 Activity 2 A. Khan et al. https://doi.org/10.5194/acp-25-8613-2025
10. Effects of ozone on agriculture, forests and grasslands L. Emberson https://doi.org/10.1098/rsta.2019.0327
11. Competing effects of nitrogen deposition and ozone exposure on northern hemispheric terrestrial carbon uptake and storage, 1850–2099 M. Franz & S. Zaehle https://doi.org/10.5194/bg-18-3219-2021
12. Increasing the spatial and temporal impact of ecological research: A roadmap for integrating a novel terrestrial process into an Earth system model E. Kyker‐Snowman et al. https://doi.org/10.1111/gcb.15894
13. Responses of surface ozone to future agricultural ammonia emissions and subsequent nitrogen deposition through terrestrial ecosystem changes X. Liu et al. https://doi.org/10.5194/acp-21-17743-2021
14. Ozone flux in plant ecosystems: new opportunities for long-term monitoring networks to deliver ozone-risk assessments S. Fares et al. https://doi.org/10.1007/s11356-017-0352-0
15. Impact of Ozone Exposure on Chlorophyll Fluorescence, Pigment Content and Leaf Gas Exchange on Lonicera caerulea var. kamtschatica and Lonicera caerulea var. emphyllocalyx O. Basara & J. Gorzelany https://doi.org/10.3390/su17072820
16. Significant Loss of Ecosystem Services by Environmental Changes in the Mediterranean Coastal Area A. Conte et al. https://doi.org/10.3390/f13050689
17. Photosynthetic limitations in Mediterranean plants: A review J. Flexas et al. https://doi.org/10.1016/j.envexpbot.2013.09.002
18. Toward an impact assessment of ozone on plant carbon fixation using a process-based plant growth model: A case study of Fagus crenata grown under different soil nutrient levels Y. Kinose et al. https://doi.org/10.1016/j.scitotenv.2020.137008
19. Improved meteorology from an updated WRF/CMAQ modeling system with MODIS vegetation and albedo L. Ran et al. https://doi.org/10.1002/2015JD024406
20. The Influence of Chronic Ozone Exposure on Global Carbon and Water Cycles D. Lombardozzi et al. https://doi.org/10.1175/JCLI-D-14-00223.1
21. Assimilation of Global Satellite Leaf Area Estimates Reduces Modeled Global Carbon Uptake and Energy Loss by Terrestrial Ecosystems A. Fox et al. https://doi.org/10.1029/2022JG006830
22. Climate extremes and ozone pollution: a growing threat to china’s food security H. Tian et al. https://doi.org/10.1002/ehs2.1203
23. Large but decreasing effect of ozone on the European carbon sink R. Oliver et al. https://doi.org/10.5194/bg-15-4245-2018
24. Dry Deposition of Ozone Over Land: Processes, Measurement, and Modeling O. Clifton et al. https://doi.org/10.1029/2019RG000670
25. Ozone vegetation damage effects on gross primary productivity in the United States X. Yue & N. Unger https://doi.org/10.5194/acp-14-9137-2014
26. Technical note: A simple theoretical model framework to describe plant stomatal “sluggishness” in response to elevated ozone concentrations C. Huntingford et al. https://doi.org/10.5194/bg-15-5415-2018
27. Global net climate effects of anthropogenic reactive nitrogen C. Gong et al. https://doi.org/10.1038/s41586-024-07714-4
28. The combined and separate impacts of climate extremes on the current and future US rainfed maize and soybean production under elevated CO2 Z. Jin et al. https://doi.org/10.1111/gcb.13617
29. Opinion: The red-light response of stomatal movement is sensed by the redox state of the photosynthetic electron transport chain F. Busch https://doi.org/10.1007/s11120-013-9805-6
30. Estimating the sensitivity of stomatal conductance to photosynthesis: a review G. Miner et al. https://doi.org/10.1111/pce.12871
31. Simulation of ozone–vegetation coupling and feedback in China using multiple ozone damage schemes J. Cao et al. https://doi.org/10.5194/acp-24-3973-2024
32. Integrating O3 influences on terrestrial processes: photosynthetic and stomatal response data available for regional and global modeling D. Lombardozzi et al. https://doi.org/10.5194/bg-10-6815-2013
33. Carbon and water vapor exchanges coupling for different irrigated and rainfed conditions on Andean potato agroecosystems F. Martínez-Maldonado et al. https://doi.org/10.1007/s00704-024-05034-1
34. Ozone–vegetation feedback through dry deposition and isoprene emissions in a global chemistry–carbon–climate model C. Gong et al. https://doi.org/10.5194/acp-20-3841-2020
35. Terrestrial Ecosystem Model in R (TEMIR) version 1.0: simulating ecophysiological responses of vegetation to atmospheric chemical and meteorological changes A. Tai et al. https://doi.org/10.5194/gmd-17-3733-2024
36. Simulating the effects of chronic ozone exposure on hydrometeorology and crop productivity using a fully coupled crop, meteorology and air quality modeling system J. Li et al. https://doi.org/10.1016/j.agrformet.2018.06.013
37. Effects of Elevated Ozone Exposure on Regional Meteorology and Air Quality in China Through Ozone‐Vegetation Coupling Z. Jin et al. https://doi.org/10.1029/2022JD038119
38. A photosynthesis‐based two‐leaf canopy stomatal conductance model for meteorology and air quality modeling with WRF/CMAQ PX LSM L. Ran et al. https://doi.org/10.1002/2016JD025583
39. Impacts of Ozone‐Vegetation Interactions on Ozone Pollution Episodes in North China and the Yangtze River Delta C. Gong et al. https://doi.org/10.1029/2021GL093814
40. Evaluation of the impacts of ozone on the vegetation productivity of woodland and grassland ecosystems in China W. Qinyi et al. https://doi.org/10.1016/j.ecolmodel.2023.110426
41. Simulating the impacts of chronic ozone exposure on plant conductance and photosynthesis, and on the regional hydroclimate using WRF/Chem J. Li et al. https://doi.org/10.1088/1748-9326/11/11/114017
42. On the seasonal relation of sun-induced chlorophyll fluorescence and transpiration in a temperate mixed forest A. Damm et al. https://doi.org/10.1016/j.agrformet.2021.108386
43. Modelling decadal trends and the impact of extreme events on carbon fluxes in a temperate deciduous forest using a terrestrial biosphere model T. Thum et al. https://doi.org/10.5194/bg-22-1781-2025
44. Tropospheric ozone reduces carbon assimilation in trees: estimates from analysis of continuous flux measurements S. Fares et al. https://doi.org/10.1111/gcb.12222
45. Stomatal response drives between-species difference in predicted leaf water-use efficiency under elevated ozone Y. Xu et al. https://doi.org/10.1016/j.envpol.2020.116137
46. Non-Stomatal Limitation to Photosynthesis in Cinnamomum camphora Seedings Exposed to Elevated O3 J. Niu et al. https://doi.org/10.1371/journal.pone.0098572
47. A humidity-based exposure index representing ozone damage effects on vegetation C. Gong et al. https://doi.org/10.1088/1748-9326/abecbb
48. Global Assessment of Vegetation Ozone Exposure Using a Remote Sensing-Based Index: A New Potential Reference for Critical Levels and Gross Primary Production Simulations P. Zhou et al. https://doi.org/10.1109/TGRS.2025.3647448
49. Ozone changes the linear relationship between photosynthesis and stomatal conductance and decreases water use efficiency in rice Y. Masutomi et al. https://doi.org/10.1016/j.scitotenv.2018.11.132
50. Water use strategy affects avoidance of ozone stress by stomatal closure in Mediterranean trees—A modelling analysis Y. Hoshika et al. https://doi.org/10.1111/pce.13700
51. Early and late adjustments of the photosynthetic traits and stomatal density in Quercus ilex L. grown in an ozone‐enriched environment L. Fusaro et al. https://doi.org/10.1111/plb.12383
52. Mitigation of ozone vegetation damage in China through sector-based emission control towards carbon neutrality Z. Ye et al. https://doi.org/10.1016/j.envres.2026.123946
53. Ozone-induced stomatal sluggishness changes carbon and water balance of temperate deciduous forests Y. Hoshika et al. https://doi.org/10.1038/srep09871
54. Evaluation of simulated ozone effects in forest ecosystems against biomass damage estimates from fumigation experiments M. Franz et al. https://doi.org/10.5194/bg-15-6941-2018
55. Air pollution and forest water use C. Holmes https://doi.org/10.1038/nature13113
56. Sensitivity of the Weather Research and Forecast/Community Multiscale Air Quality modeling system to MODIS LAI, FPAR, and albedo L. Ran et al. https://doi.org/10.1002/2015JD023424
57. Sensitivity of Ozone Dry Deposition to Ecosystem‐Atmosphere Interactions: A Critical Appraisal of Observations and Simulations M. Lin et al. https://doi.org/10.1029/2018GB006157
58. Global assessment of climatic responses to ozone–vegetation interactions X. Zhou et al. https://doi.org/10.5194/acp-24-9923-2024
59. Coupling between surface ozone and leaf area index in a chemical transport model: strength of feedback and implications for ozone air quality and vegetation health S. Zhou et al. https://doi.org/10.5194/acp-18-14133-2018
60. Light Intensity Affects Ozone-Induced Stomatal Sluggishness in Snapbean Y. Hoshika et al. https://doi.org/10.1007/s11270-016-3127-1
61. Indirect contributions of global fires to surface ozone through ozone–vegetation feedback Y. Lei et al. https://doi.org/10.5194/acp-21-11531-2021
62. 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
63. Identifying and modelling key physiological traits that confer tolerance or sensitivity to ozone in winter wheat Y. Feng et al. https://doi.org/10.1016/j.envpol.2022.119251
64. Effects of ozone–vegetation interactions on meteorology and air quality in China using a two-way coupled land–atmosphere model J. Zhu et al. https://doi.org/10.5194/acp-22-765-2022