Articles | Volume 8, issue 4
https://doi.org/10.5194/bg-8-999-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-8-999-2011
© Author(s) 2011. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Identification of a general light use efficiency model for gross primary production
J. E. Horn
now at: Institute of Photogrammetry and Remote Sensing, Karlsruhe Institute of Technology (KIT), Kaiserstr. 12, 76131 Karlsruhe, Germany
Department of Geography, Ludwig-Maximilians-Universität München, Luisenstr. 37, 80333 Munich, Germany
K. Schulz
Department of Geography, Ludwig-Maximilians-Universität München, Luisenstr. 37, 80333 Munich, Germany
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Cited
31 citations as recorded by crossref.
- Close relationship between spectral vegetation indices and V<sub>cmax</sub> in deciduous and mixed forests Y. Zhou et al. 10.3402/tellusb.v66.23279
- Toward Robust Parameterizations in Ecosystem‐Level Photosynthesis Models S. Bao et al. 10.1029/2022MS003464
- Bayesian calibration of simple forest models with multiplicative mathematical structure: A case study with two Light Use Efficiency models in an alpine forest M. Bagnara et al. 10.1016/j.ecolmodel.2018.01.014
- Remote sensing of annual terrestrial gross primary productivity from MODIS: an assessment using the FLUXNET La Thuile data set M. Verma et al. 10.5194/bg-11-2185-2014
- Evaluation of the remote-sensing-based DIFFUSE model for estimating photosynthesis of vegetation R. Donohue et al. 10.1016/j.rse.2014.09.007
- Time-scale and state dependence of the carbon-cycle feedback to climate M. Willeit et al. 10.1007/s00382-014-2102-z
- Quantifying effects of cold acclimation and delayed springtime photosynthesis resumption in northern ecosystems Y. Luo et al. 10.1111/nph.19208
- Comparison of satellite-based models for estimating gross primary productivity in agroecosystems S. Jiang et al. 10.1016/j.agrformet.2020.108253
- Spatial extrapolation of light use efficiency model parameters to predict gross primary production J. Horn & K. Schulz 10.1029/2011MS000070
- Global parameterization and validation of a two‐leaf light use efficiency model for predicting gross primary production across FLUXNET sites Y. Zhou et al. 10.1002/2014JG002876
- Observational Constraints on the Response of High‐Latitude Northern Forests to Warming J. Liu et al. 10.1029/2020AV000228
- Uncertainty analysis of intra-module environmental stress parameter design in light use efficiency-based gross primary productivity estimation models C. Zhao & W. Zhu 10.1177/2754124X241235545
- Advancement and Applications of Forest Remote Sensing in Korea: Past, Present, and Future Perspectives K. Kim et al. 10.7780/kjrs.2024.40.5.2.8
- Developing a diagnostic model for estimating terrestrial vegetation gross primary productivity using the photosynthetic quantum yield and Earth Observation data B. Ogutu et al. 10.1111/gcb.12261
- The GEWEX LandFlux project: evaluation of model evaporation using tower-based and globally gridded forcing data M. McCabe et al. 10.5194/gmd-9-283-2016
- Light use efficiency of a warm-temperate mixed plantation in north China X. Tong et al. 10.1007/s00484-017-1339-8
- Eddy covariance analysis of the implications of drought on the carbon fluxes of Moso bamboo forest in southeastern China X. Xu et al. 10.1007/s00468-016-1414-5
- Multi-site evaluation of terrestrial evaporation models using FLUXNET data A. Ershadi et al. 10.1016/j.agrformet.2013.11.008
- A water stress factor based on normalized difference water index substantially improved the accuracy of light use efficiency model for arid and semi-arid grasslands L. Ding et al. 10.1016/j.jenvman.2023.119566
- Environmental Drivers of Gross Primary Productivity and Light Use Efficiency of a Temperate Spruce Forest O. Reitz et al. 10.1029/2022JG007197
- Testing the Contribution of Stress Factors to Improve Wheat and Maize Yield Estimations Derived from Remotely-Sensed Dry Matter Productivity Y. Durgun et al. 10.3390/rs8030170
- Coupling a light use efficiency model with a machine learning-based water constraint for predicting grassland gross primary production R. Yu et al. 10.1016/j.agrformet.2023.109634
- Species composition and forest structure explain the temperature sensitivity patterns of productivity in temperate forests F. Bohn et al. 10.5194/bg-15-1795-2018
- Bayesian optimization of a light use efficiency model for the estimation of daily gross primary productivity in a range of Italian forest ecosystems M. Bagnara et al. 10.1016/j.ecolmodel.2014.09.021
- Biophsyical constraints on gross primary production by the terrestrial biosphere H. Wang et al. 10.5194/bg-11-5987-2014
- Assessments of gross primary productivity estimations with satellite data-driven models using eddy covariance observation sites over the northern hemisphere X. Xie et al. 10.1016/j.agrformet.2019.107771
- Impact of model structure and parameterization on Penman–Monteith type evaporation models A. Ershadi et al. 10.1016/j.jhydrol.2015.04.008
- Parameter optimization, sensitivity, and uncertainty analysis of an ecosystem model at a forest flux tower site in the United States Y. Wu et al. 10.1002/2013MS000298
- Environment-sensitivity functions for gross primary productivity in light use efficiency models S. Bao et al. 10.1016/j.agrformet.2021.108708
- Remote sensing of ecosystem light use efficiency with MODIS-based PRI A. Goerner et al. 10.5194/bg-8-189-2011
- Estimation of Mangrove Carbon Stocks by Applying Remote Sensing and GIS Techniques V. Patil et al. 10.1007/s13157-015-0660-4
29 citations as recorded by crossref.
- Close relationship between spectral vegetation indices and V<sub>cmax</sub> in deciduous and mixed forests Y. Zhou et al. 10.3402/tellusb.v66.23279
- Toward Robust Parameterizations in Ecosystem‐Level Photosynthesis Models S. Bao et al. 10.1029/2022MS003464
- Bayesian calibration of simple forest models with multiplicative mathematical structure: A case study with two Light Use Efficiency models in an alpine forest M. Bagnara et al. 10.1016/j.ecolmodel.2018.01.014
- Remote sensing of annual terrestrial gross primary productivity from MODIS: an assessment using the FLUXNET La Thuile data set M. Verma et al. 10.5194/bg-11-2185-2014
- Evaluation of the remote-sensing-based DIFFUSE model for estimating photosynthesis of vegetation R. Donohue et al. 10.1016/j.rse.2014.09.007
- Time-scale and state dependence of the carbon-cycle feedback to climate M. Willeit et al. 10.1007/s00382-014-2102-z
- Quantifying effects of cold acclimation and delayed springtime photosynthesis resumption in northern ecosystems Y. Luo et al. 10.1111/nph.19208
- Comparison of satellite-based models for estimating gross primary productivity in agroecosystems S. Jiang et al. 10.1016/j.agrformet.2020.108253
- Spatial extrapolation of light use efficiency model parameters to predict gross primary production J. Horn & K. Schulz 10.1029/2011MS000070
- Global parameterization and validation of a two‐leaf light use efficiency model for predicting gross primary production across FLUXNET sites Y. Zhou et al. 10.1002/2014JG002876
- Observational Constraints on the Response of High‐Latitude Northern Forests to Warming J. Liu et al. 10.1029/2020AV000228
- Uncertainty analysis of intra-module environmental stress parameter design in light use efficiency-based gross primary productivity estimation models C. Zhao & W. Zhu 10.1177/2754124X241235545
- Advancement and Applications of Forest Remote Sensing in Korea: Past, Present, and Future Perspectives K. Kim et al. 10.7780/kjrs.2024.40.5.2.8
- Developing a diagnostic model for estimating terrestrial vegetation gross primary productivity using the photosynthetic quantum yield and Earth Observation data B. Ogutu et al. 10.1111/gcb.12261
- The GEWEX LandFlux project: evaluation of model evaporation using tower-based and globally gridded forcing data M. McCabe et al. 10.5194/gmd-9-283-2016
- Light use efficiency of a warm-temperate mixed plantation in north China X. Tong et al. 10.1007/s00484-017-1339-8
- Eddy covariance analysis of the implications of drought on the carbon fluxes of Moso bamboo forest in southeastern China X. Xu et al. 10.1007/s00468-016-1414-5
- Multi-site evaluation of terrestrial evaporation models using FLUXNET data A. Ershadi et al. 10.1016/j.agrformet.2013.11.008
- A water stress factor based on normalized difference water index substantially improved the accuracy of light use efficiency model for arid and semi-arid grasslands L. Ding et al. 10.1016/j.jenvman.2023.119566
- Environmental Drivers of Gross Primary Productivity and Light Use Efficiency of a Temperate Spruce Forest O. Reitz et al. 10.1029/2022JG007197
- Testing the Contribution of Stress Factors to Improve Wheat and Maize Yield Estimations Derived from Remotely-Sensed Dry Matter Productivity Y. Durgun et al. 10.3390/rs8030170
- Coupling a light use efficiency model with a machine learning-based water constraint for predicting grassland gross primary production R. Yu et al. 10.1016/j.agrformet.2023.109634
- Species composition and forest structure explain the temperature sensitivity patterns of productivity in temperate forests F. Bohn et al. 10.5194/bg-15-1795-2018
- Bayesian optimization of a light use efficiency model for the estimation of daily gross primary productivity in a range of Italian forest ecosystems M. Bagnara et al. 10.1016/j.ecolmodel.2014.09.021
- Biophsyical constraints on gross primary production by the terrestrial biosphere H. Wang et al. 10.5194/bg-11-5987-2014
- Assessments of gross primary productivity estimations with satellite data-driven models using eddy covariance observation sites over the northern hemisphere X. Xie et al. 10.1016/j.agrformet.2019.107771
- Impact of model structure and parameterization on Penman–Monteith type evaporation models A. Ershadi et al. 10.1016/j.jhydrol.2015.04.008
- Parameter optimization, sensitivity, and uncertainty analysis of an ecosystem model at a forest flux tower site in the United States Y. Wu et al. 10.1002/2013MS000298
- Environment-sensitivity functions for gross primary productivity in light use efficiency models S. Bao et al. 10.1016/j.agrformet.2021.108708
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