Articles | Volume 15, issue 22
https://doi.org/10.5194/bg-15-6909-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-15-6909-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
19 Nov 2018
Research article |
| 19 Nov 2018
| 19 Nov 2018
Leaf area index identified as a major source of variability in modeled CO2 fertilization
Qianyu Li
Ministry of Education Key Laboratory for Earth System Modeling,
Department of Earth System Science, Tsinghua University, Beijing 100084,
China
National Supercomputing Center in Wuxi, Wuxi 214000, China
College of Engineering, Mathematics and Physical Sciences, University
of Exeter, Exeter, EX4 4QF, UK
Xingjie Lu
Center for Ecosystem Science and Society (Ecoss), Northern Arizona
University, Flagstaff, AZ 86011, USA
Yingping Wang
CSIRO Oceans and Atmosphere, PMB #1, Aspendale, Victoria 3195,
Australia
Xin Huang
Center for Ecosystem Science and Society (Ecoss), Northern Arizona
University, Flagstaff, AZ 86011, USA
Peter M. Cox
College of Engineering, Mathematics and Physical Sciences, University
of Exeter, Exeter, EX4 4QF, UK
Ministry of Education Key Laboratory for Earth System Modeling,
Department of Earth System Science, Tsinghua University, Beijing 100084,
China
Center for Ecosystem Science and Society (Ecoss), Northern Arizona
University, Flagstaff, AZ 86011, USA
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Cited
27 citations as recorded by crossref.
- Plant-soil feedback: incorporating untested influential drivers and reconciling terminology J. De Long et al. 10.1007/s11104-023-05908-9
- Exploring the impacts of unprecedented climate extremes on forest ecosystems: hypotheses to guide modeling and experimental studies J. Holm et al. 10.5194/bg-20-2117-2023
- Uncertainty propagation in a global biogeochemical model driven by leaf area data C. Bian & J. Xia 10.3389/fevo.2023.1105832
- Mature forest shows little increase in carbon uptake in a CO2-enriched atmosphere Y. Luo & S. Niu 10.1038/d41586-020-00962-0
- Developing a parsimonious canopy model (PCM v1.0) to predict forest gross primary productivity and leaf area index of deciduous broad-leaved forest B. Bahrami et al. 10.5194/gmd-15-6957-2022
- Recent global decline of CO 2 fertilization effects on vegetation photosynthesis S. Wang et al. 10.1126/science.abb7772
- Reconstructing the Seasonality and Trend in Global Leaf Area Index During 2001–2017 for Prognostic Modeling M. Wang et al. 10.1029/2020JG005698
- Projected Land Evaporation and Its Response to Vegetation Greening Over China Under Multiple Scenarios in the CMIP6 Models J. Lu et al. 10.1029/2021JG006327
- Impacts of Vegetation Changes on Land Evapotranspiration in China During 1982–2015 Z. MingYue et al. 10.3389/fenvs.2022.819277
- Reducing model uncertainty of climate change impacts on high latitude carbon assimilation A. Rogers et al. 10.1111/gcb.15958
- Separating leaf area index from plant area index using semi-supervised classification of digital hemispheric canopy photographs: A case study of dryland vegetation J. Eckersley et al. 10.1016/j.agrformet.2025.110395
- GROWTH RESPONSES OF HOT CHILLI (Capsicum chinense JACQ.) TO ELEVATED CARBON DIOXIDE AND TEMPERATURE S. Das et al. 10.18006/2020.8(4).434.440
- Divergent future trends in global land greening and carbon sequestration under climate change scenarios C. Bian & J. Xia 10.1088/1748-9326/ad8508
- A constraint on historic growth in global photosynthesis due to rising CO2 T. Keenan et al. 10.1038/s41558-023-01867-2
- Improved phenological escape can help temperate tree seedlings maintain demographic performance under climate change conditions B. Lee & I. Ibáñez 10.1111/gcb.15678
- Remote Sensing to Study Mangrove Fragmentation and Its Impacts on Leaf Area Index and Gross Primary Productivity in the South of Peninsular Malaysia K. Kanniah et al. 10.3390/rs13081427
- Uncertainty and Emergent Constraints on Enhanced Ecosystem Carbon Stock by Land Greening C. Bian et al. 10.1029/2022MS003397
- Data-constrained modeling of terrestrial gross primary production over the Tibetan Plateau for 2003–2019 S. Chen et al. 10.1016/j.agrformet.2024.110129
- Strong Nonlinearity of Land Climate‐Carbon Cycle Feedback Under a High CO2 Growth Scenario X. Zhang et al. 10.1029/2021EF002499
- Temporal variability in tree responses to elevated atmospheric CO2 F. Lauriks et al. 10.1111/pce.13986
- Underestimating global land greening: Future vegetation changes and their impacts on terrestrial water loss Y. Chai et al. 10.1016/j.oneear.2025.101176
- Estimación de variables esenciales de la vegetación en un ecosistema de dehesa utilizando factores de reflectividad simulados estacionalmente M. Martín et al. 10.4995/raet.2020.13394
- Response of rice production to rising CO2 and its adaptive cultivation strategies H. Zhang et al. 10.1016/j.fmre.2024.11.025
- Global variation in diurnal asymmetry in temperature, cloud cover, specific humidity and precipitation and its association with leaf area index D. Cox et al. 10.1111/gcb.15336
- A model-independent data assimilation (MIDA) module and its applications in ecology X. Huang et al. 10.5194/gmd-14-5217-2021
- RETRACTED ARTICLE: A constraint on historic growth in global photosynthesis due to increasing CO2 T. Keenan et al. 10.1038/s41586-021-04096-9
- A moving target: trade‐offs between maximizing carbon and minimizing hydraulic stress for plants in a changing climate G. Quetin et al. 10.1111/nph.20127
27 citations as recorded by crossref.
- Plant-soil feedback: incorporating untested influential drivers and reconciling terminology J. De Long et al. 10.1007/s11104-023-05908-9
- Exploring the impacts of unprecedented climate extremes on forest ecosystems: hypotheses to guide modeling and experimental studies J. Holm et al. 10.5194/bg-20-2117-2023
- Uncertainty propagation in a global biogeochemical model driven by leaf area data C. Bian & J. Xia 10.3389/fevo.2023.1105832
- Mature forest shows little increase in carbon uptake in a CO2-enriched atmosphere Y. Luo & S. Niu 10.1038/d41586-020-00962-0
- Developing a parsimonious canopy model (PCM v1.0) to predict forest gross primary productivity and leaf area index of deciduous broad-leaved forest B. Bahrami et al. 10.5194/gmd-15-6957-2022
- Recent global decline of CO 2 fertilization effects on vegetation photosynthesis S. Wang et al. 10.1126/science.abb7772
- Reconstructing the Seasonality and Trend in Global Leaf Area Index During 2001–2017 for Prognostic Modeling M. Wang et al. 10.1029/2020JG005698
- Projected Land Evaporation and Its Response to Vegetation Greening Over China Under Multiple Scenarios in the CMIP6 Models J. Lu et al. 10.1029/2021JG006327
- Impacts of Vegetation Changes on Land Evapotranspiration in China During 1982–2015 Z. MingYue et al. 10.3389/fenvs.2022.819277
- Reducing model uncertainty of climate change impacts on high latitude carbon assimilation A. Rogers et al. 10.1111/gcb.15958
- Separating leaf area index from plant area index using semi-supervised classification of digital hemispheric canopy photographs: A case study of dryland vegetation J. Eckersley et al. 10.1016/j.agrformet.2025.110395
- GROWTH RESPONSES OF HOT CHILLI (Capsicum chinense JACQ.) TO ELEVATED CARBON DIOXIDE AND TEMPERATURE S. Das et al. 10.18006/2020.8(4).434.440
- Divergent future trends in global land greening and carbon sequestration under climate change scenarios C. Bian & J. Xia 10.1088/1748-9326/ad8508
- A constraint on historic growth in global photosynthesis due to rising CO2 T. Keenan et al. 10.1038/s41558-023-01867-2
- Improved phenological escape can help temperate tree seedlings maintain demographic performance under climate change conditions B. Lee & I. Ibáñez 10.1111/gcb.15678
- Remote Sensing to Study Mangrove Fragmentation and Its Impacts on Leaf Area Index and Gross Primary Productivity in the South of Peninsular Malaysia K. Kanniah et al. 10.3390/rs13081427
- Uncertainty and Emergent Constraints on Enhanced Ecosystem Carbon Stock by Land Greening C. Bian et al. 10.1029/2022MS003397
- Data-constrained modeling of terrestrial gross primary production over the Tibetan Plateau for 2003–2019 S. Chen et al. 10.1016/j.agrformet.2024.110129
- Strong Nonlinearity of Land Climate‐Carbon Cycle Feedback Under a High CO2 Growth Scenario X. Zhang et al. 10.1029/2021EF002499
- Temporal variability in tree responses to elevated atmospheric CO2 F. Lauriks et al. 10.1111/pce.13986
- Underestimating global land greening: Future vegetation changes and their impacts on terrestrial water loss Y. Chai et al. 10.1016/j.oneear.2025.101176
- Estimación de variables esenciales de la vegetación en un ecosistema de dehesa utilizando factores de reflectividad simulados estacionalmente M. Martín et al. 10.4995/raet.2020.13394
- Response of rice production to rising CO2 and its adaptive cultivation strategies H. Zhang et al. 10.1016/j.fmre.2024.11.025
- Global variation in diurnal asymmetry in temperature, cloud cover, specific humidity and precipitation and its association with leaf area index D. Cox et al. 10.1111/gcb.15336
- A model-independent data assimilation (MIDA) module and its applications in ecology X. Huang et al. 10.5194/gmd-14-5217-2021
- RETRACTED ARTICLE: A constraint on historic growth in global photosynthesis due to increasing CO2 T. Keenan et al. 10.1038/s41586-021-04096-9
- A moving target: trade‐offs between maximizing carbon and minimizing hydraulic stress for plants in a changing climate G. Quetin et al. 10.1111/nph.20127
Discussed (preprint)
Latest update: 03 Jul 2025
Short summary
Land-surface models have been widely used to predict the responses of terrestrial ecosystems to climate change. A better understanding of model mechanisms that govern terrestrial ecosystem responses to rising atmosphere [CO2] is needed. Our study for the first time shows that the expansion of leaf area under rising [CO2] is the most important response for the stimulation of land carbon accumulation by a land-surface model: CABLE. Processes related to leaf area should be better calibrated.
Land-surface models have been widely used to predict the responses of terrestrial ecosystems to...
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