Articles | Volume 25, issue 5
https://doi.org/10.5194/hess-25-2399-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-25-2399-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
10 May 2021
Research article |
| 10 May 2021
| 10 May 2021
Global ecosystem-scale plant hydraulic traits retrieved using model–data fusion
Department of Earth System Science, Stanford University, Stanford, CA 94305, USA
Nataniel M. Holtzman
Department of Earth System Science, Stanford University, Stanford, CA 94305, USA
Alexandra G. Konings
Department of Earth System Science, Stanford University, Stanford, CA 94305, USA
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Cited
24 citations as recorded by crossref.
- Constraining Plant Hydraulics With Microwave Radiometry in a Land Surface Model: Impacts of Temporal Resolution N. Holtzman et al. 10.1029/2023WR035481
- When do plant hydraulics matter in terrestrial biosphere modelling? A. Paschalis et al. 10.1111/gcb.17022
- Critical soil moisture thresholds of plant water stress in terrestrial ecosystems Z. Fu et al. 10.1126/sciadv.abq7827
- Diagnosing evapotranspiration responses to water deficit across biomes using deep learning F. Giardina et al. 10.1111/nph.19197
- Forest fluxes and mortality response to drought: model description (ORCHIDEE-CAN-NHA r7236) and evaluation at the Caxiuanã drought experiment Y. Yao et al. 10.5194/gmd-15-7809-2022
- Evapotranspiration frequently increases during droughts M. Zhao et al. 10.1038/s41558-022-01505-3
- A physically-based potential evapotranspiration model for global water availability projections Z. Liu et al. 10.1016/j.jhydrol.2023.129767
- Microwave-based soil moisture improves estimates of vegetation response to drought in China J. Qiu et al. 10.1016/j.scitotenv.2022.157535
- Towards species‐level forecasts of drought‐induced tree mortality risk M. De Kauwe et al. 10.1111/nph.18129
- Intra‐Specific Variability in Plant Hydraulic Parameters Inferred From Model Inversion of Sap Flux Data Y. Lu et al. 10.1029/2021JG006777
- Continuity of Global MODIS Terrestrial Primary Productivity Estimates in the VIIRS Era Using Model‐Data Fusion K. Endsley et al. 10.1029/2023JG007457
- Optimal plant water use strategies explain soil moisture variability M. Bassiouni et al. 10.1016/j.advwatres.2023.104405
- How drought events during the last century have impacted biomass carbon in Amazonian rainforests Y. Yao et al. 10.1111/gcb.16504
- Assessing the sensitivity of multi-frequency passive microwave vegetation optical depth to vegetation properties L. Schmidt et al. 10.5194/bg-20-1027-2023
- Reviews and syntheses: Recent advances in microwave remote sensing in support of terrestrial carbon cycle science in Arctic–boreal regions A. Mavrovic et al. 10.5194/bg-20-2941-2023
- Error Propagation in Microwave Soil Moisture and Vegetation Optical Depth Retrievals A. Feldman et al. 10.1109/JSTARS.2021.3124857
- CARDAMOM-FluxVal version 1.0: a FLUXNET-based validation system for CARDAMOM carbon and water flux estimates Y. Yang et al. 10.5194/gmd-15-1789-2022
- Joint assimilation of satellite-based surface soil moisture and vegetation conditions into the Noah-MP land surface model Z. Heyvaert et al. 10.1016/j.srs.2024.100129
- Increased hydraulic risk in assemblages of woody plant species predicts spatial patterns of drought-induced mortality P. Sanchez-Martinez et al. 10.1038/s41559-023-02180-z
- The impacts of rising vapour pressure deficit in natural and managed ecosystems K. Novick et al. 10.1111/pce.14846
- Parameterizing Vegetation Traits With a Process‐Based Ecohydrological Model and Xylem Water Isotopic Observations K. Li et al. 10.1029/2022MS003263
- Canopy Height and Climate Dryness Parsimoniously Explain Spatial Variation of Unstressed Stomatal Conductance Y. Liu et al. 10.1029/2022GL099339
- Detecting forest response to droughts with global observations of vegetation water content A. Konings et al. 10.1111/gcb.15872
- Global ecosystem-scale plant hydraulic traits retrieved using model–data fusion Y. Liu et al. 10.5194/hess-25-2399-2021
23 citations as recorded by crossref.
- Constraining Plant Hydraulics With Microwave Radiometry in a Land Surface Model: Impacts of Temporal Resolution N. Holtzman et al. 10.1029/2023WR035481
- When do plant hydraulics matter in terrestrial biosphere modelling? A. Paschalis et al. 10.1111/gcb.17022
- Critical soil moisture thresholds of plant water stress in terrestrial ecosystems Z. Fu et al. 10.1126/sciadv.abq7827
- Diagnosing evapotranspiration responses to water deficit across biomes using deep learning F. Giardina et al. 10.1111/nph.19197
- Forest fluxes and mortality response to drought: model description (ORCHIDEE-CAN-NHA r7236) and evaluation at the Caxiuanã drought experiment Y. Yao et al. 10.5194/gmd-15-7809-2022
- Evapotranspiration frequently increases during droughts M. Zhao et al. 10.1038/s41558-022-01505-3
- A physically-based potential evapotranspiration model for global water availability projections Z. Liu et al. 10.1016/j.jhydrol.2023.129767
- Microwave-based soil moisture improves estimates of vegetation response to drought in China J. Qiu et al. 10.1016/j.scitotenv.2022.157535
- Towards species‐level forecasts of drought‐induced tree mortality risk M. De Kauwe et al. 10.1111/nph.18129
- Intra‐Specific Variability in Plant Hydraulic Parameters Inferred From Model Inversion of Sap Flux Data Y. Lu et al. 10.1029/2021JG006777
- Continuity of Global MODIS Terrestrial Primary Productivity Estimates in the VIIRS Era Using Model‐Data Fusion K. Endsley et al. 10.1029/2023JG007457
- Optimal plant water use strategies explain soil moisture variability M. Bassiouni et al. 10.1016/j.advwatres.2023.104405
- How drought events during the last century have impacted biomass carbon in Amazonian rainforests Y. Yao et al. 10.1111/gcb.16504
- Assessing the sensitivity of multi-frequency passive microwave vegetation optical depth to vegetation properties L. Schmidt et al. 10.5194/bg-20-1027-2023
- Reviews and syntheses: Recent advances in microwave remote sensing in support of terrestrial carbon cycle science in Arctic–boreal regions A. Mavrovic et al. 10.5194/bg-20-2941-2023
- Error Propagation in Microwave Soil Moisture and Vegetation Optical Depth Retrievals A. Feldman et al. 10.1109/JSTARS.2021.3124857
- CARDAMOM-FluxVal version 1.0: a FLUXNET-based validation system for CARDAMOM carbon and water flux estimates Y. Yang et al. 10.5194/gmd-15-1789-2022
- Joint assimilation of satellite-based surface soil moisture and vegetation conditions into the Noah-MP land surface model Z. Heyvaert et al. 10.1016/j.srs.2024.100129
- Increased hydraulic risk in assemblages of woody plant species predicts spatial patterns of drought-induced mortality P. Sanchez-Martinez et al. 10.1038/s41559-023-02180-z
- The impacts of rising vapour pressure deficit in natural and managed ecosystems K. Novick et al. 10.1111/pce.14846
- Parameterizing Vegetation Traits With a Process‐Based Ecohydrological Model and Xylem Water Isotopic Observations K. Li et al. 10.1029/2022MS003263
- Canopy Height and Climate Dryness Parsimoniously Explain Spatial Variation of Unstressed Stomatal Conductance Y. Liu et al. 10.1029/2022GL099339
- Detecting forest response to droughts with global observations of vegetation water content A. Konings et al. 10.1111/gcb.15872
1 citations as recorded by crossref.
Latest update: 25 Apr 2024
Short summary
The flow of water through plants varies with species-specific traits. To determine how they vary across the world, we mapped the traits that best allowed a model to match microwave satellite data. We also defined average values across a few clusters of trait behavior. These form a tractable solution for use in large-scale models. Transpiration estimates using these clusters were more accurate than if using plant functional types. We expect our maps to improve transpiration forecasts.
The flow of water through plants varies with species-specific traits. To determine how they vary...
