Articles | Volume 15, issue 20
https://doi.org/10.5194/gmd-15-7879-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-15-7879-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Development and technical paper
| 
26 Oct 2022
Development and technical paper |
| 26 Oct 2022
| 26 Oct 2022
Modeling the topographic influence on aboveground biomass using a coupled model of hillslope hydrology and ecosystem dynamics
Pacific Northwest National Laboratory, Richland, WA, USA
L. Ruby Leung
Pacific Northwest National Laboratory, Richland, WA, USA
Charles D. Koven
Lawrence Berkeley National Laboratory, Berkeley, CA, USA
Gautam Bisht
Pacific Northwest National Laboratory, Richland, WA, USA
Matteo Detto
Department of Ecology and Evolutionary Biology, Princeton University,
Princeton, NJ, USA
Yanyan Cheng
Department of Industrial Systems Engineering and Management, National
University of Singapore, Singapore
Nate McDowell
Pacific Northwest National Laboratory, Richland, WA, USA
School of Biological Sciences, Washington State University, Pullman,
WA, USA
Helene Muller-Landau
Smithsonian Tropical Research Institute, Balboa, Panama
S. Joseph Wright
Smithsonian Tropical Research Institute, Balboa, Panama
Jeffrey Q. Chambers
Lawrence Berkeley National Laboratory, Berkeley, CA, USA
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Cited
23 citations as recorded by crossref.
- Fragmentation is the main driver of residual forest aboveground biomass in West African low forest-high deforestation landscapes S. Traoré et al.
- Improving the representation of plant water stress and water use in Earth System Models J. Dukes et al.
- Global 1 km land surface parameters for kilometer-scale Earth system modeling L. Li et al.
- Subsurface hydrological controls on the short-term effects of hurricanes on nitrate–nitrogen runoff loading: a case study of Hurricane Ida using the Energy Exascale Earth System Model (E3SM) Land Model (v2.1) Y. Fang et al.
- 20 years of trials and insights: bridging legacy and next generation in ParFlow and Land Surface Model Coupling C. Yang et al.
- Call for caution regarding the efficacy of large-scale afforestation and its hydrological effects H. Douville et al.
- Warming and snow loss increase reliance on old groundwater in a Colorado River headwater E. Siirila-Woodburn et al.
- Allometric Equations for Aboveground Biomass Estimation in Natural Forest Trees: Generalized or Species-Specific? Y. Shang et al.
- Optimization of remote sensing estimation model for biomass of rubber plantations from the perspective of multi-source feature fusion Y. Zhang et al.
- Spatial Patterns of Biomass and Carbon Sequestration as Affected by Vegetation and Topography in a Community Forest Selopuro Indonesia M. Mujiyo et al.
- Advancing ecohydrological modelling: coupling LPJ-GUESS with ParFlow for integrated vegetation and surface-subsurface hydrology simulations Z. Jia et al.
- Trend and drivers of forest biomass change in the Greater Bay Area of China from 2000 to 2022 W. Li et al.
- A machine learning approach targeting parameter estimation for plant functional type coexistence modeling using ELM-FATES (v2.0) L. Li et al.
- An open-source GIS preprocessing tool for the ParFlow hydrological model (PFGIS-Tool v1.0.0) T. Carlotto et al.
- Rainfall and topographic position determine tree embolism resistance in Amazônia and Cerrado sites C. Mattos et al.
- Data-driven multisource estimation of aboveground biomass density: a baseline for rangeland monitoring Z. Chere et al.
- Development of inter-grid-cell lateral unsaturated and saturated flow model in the E3SM Land Model (v2.0) H. Qiu et al.
- River–aquifer interactions enhancing evapotranspiration in a semiarid riparian zone: A modelling study B. Zhu et al.
- Assessing and enhancing Noah-MP land surface modeling over tropical forests using machine learning techniques Y. Cheng et al.
- A Robust Framework for Bamboo Forest AGB Estimation by Integrating Geostatistical Prediction and Ensemble Learning L. Fu et al.
- Structural relationships among topography, canopy cover, ecosystem functions, and soil quality in the semi-arid forests of the Zagros mountains N. Pordel et al.
- Representing lateral groundwater flow from land to river in Earth system models C. Liao et al.
- Influence of plateau, slope, and valley on soil hydrology during the dry season in a Central Amazon old‐growth forest R. Negron‐Juarez et al.
23 citations as recorded by crossref.
- Fragmentation is the main driver of residual forest aboveground biomass in West African low forest-high deforestation landscapes S. Traoré et al.
- Improving the representation of plant water stress and water use in Earth System Models J. Dukes et al.
- Global 1 km land surface parameters for kilometer-scale Earth system modeling L. Li et al.
- Subsurface hydrological controls on the short-term effects of hurricanes on nitrate–nitrogen runoff loading: a case study of Hurricane Ida using the Energy Exascale Earth System Model (E3SM) Land Model (v2.1) Y. Fang et al.
- 20 years of trials and insights: bridging legacy and next generation in ParFlow and Land Surface Model Coupling C. Yang et al.
- Call for caution regarding the efficacy of large-scale afforestation and its hydrological effects H. Douville et al.
- Warming and snow loss increase reliance on old groundwater in a Colorado River headwater E. Siirila-Woodburn et al.
- Allometric Equations for Aboveground Biomass Estimation in Natural Forest Trees: Generalized or Species-Specific? Y. Shang et al.
- Optimization of remote sensing estimation model for biomass of rubber plantations from the perspective of multi-source feature fusion Y. Zhang et al.
- Spatial Patterns of Biomass and Carbon Sequestration as Affected by Vegetation and Topography in a Community Forest Selopuro Indonesia M. Mujiyo et al.
- Advancing ecohydrological modelling: coupling LPJ-GUESS with ParFlow for integrated vegetation and surface-subsurface hydrology simulations Z. Jia et al.
- Trend and drivers of forest biomass change in the Greater Bay Area of China from 2000 to 2022 W. Li et al.
- A machine learning approach targeting parameter estimation for plant functional type coexistence modeling using ELM-FATES (v2.0) L. Li et al.
- An open-source GIS preprocessing tool for the ParFlow hydrological model (PFGIS-Tool v1.0.0) T. Carlotto et al.
- Rainfall and topographic position determine tree embolism resistance in Amazônia and Cerrado sites C. Mattos et al.
- Data-driven multisource estimation of aboveground biomass density: a baseline for rangeland monitoring Z. Chere et al.
- Development of inter-grid-cell lateral unsaturated and saturated flow model in the E3SM Land Model (v2.0) H. Qiu et al.
- River–aquifer interactions enhancing evapotranspiration in a semiarid riparian zone: A modelling study B. Zhu et al.
- Assessing and enhancing Noah-MP land surface modeling over tropical forests using machine learning techniques Y. Cheng et al.
- A Robust Framework for Bamboo Forest AGB Estimation by Integrating Geostatistical Prediction and Ensemble Learning L. Fu et al.
- Structural relationships among topography, canopy cover, ecosystem functions, and soil quality in the semi-arid forests of the Zagros mountains N. Pordel et al.
- Representing lateral groundwater flow from land to river in Earth system models C. Liao et al.
- Influence of plateau, slope, and valley on soil hydrology during the dry season in a Central Amazon old‐growth forest R. Negron‐Juarez et al.
Saved (final revised paper)
Latest update: 06 May 2026
Short summary
We develop a model that integrates an Earth system model with a three-dimensional hydrology model to explicitly resolve hillslope topography and water flow underneath the land surface to understand how local-scale hydrologic processes modulate vegetation along water availability gradients. Our coupled model can be used to improve the understanding of the diverse impact of local heterogeneity and water flux on nutrient availability and plant communities.
We develop a model that integrates an Earth system model with a three-dimensional hydrology...
