Articles | Volume 13, issue 9
https://doi.org/10.5194/gmd-13-4067-2020
© Author(s) 2020. 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-13-4067-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
07 Sep 2020
Model description paper |
| 07 Sep 2020
| 07 Sep 2020
Robust Ecosystem Demography (RED version 1.0): a parsimonious approach to modelling vegetation dynamics in Earth system models
College of Engineering, Mathematics, and Physical Sciences, University of Exeter, Exeter EX4 4QF, UK
College of Engineering, Mathematics, and Physical Sciences, University of Exeter, Exeter EX4 4QF, UK
Chris Huntingford
UK Centre for Ecology and Hydrology, Wallingford OX10 8BB, UK
Andrew J. Wiltshire
Met Office Hadley Centre, Fitzroy Road, Exeter EX1 3PB, UK
Anna B. Harper
College of Engineering, Mathematics, and Physical Sciences, University of Exeter, Exeter EX4 4QF, UK
Chris D. Jones
Met Office Hadley Centre, Fitzroy Road, Exeter EX1 3PB, UK
College of Engineering, Mathematics, and Physical Sciences, University of Exeter, Exeter EX4 4QF, UK
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14 citations as recorded by crossref.
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- Linking plant hydraulics and the fast–slow continuum to understand resilience to drought in tropical ecosystems R. Oliveira et al. 10.1111/nph.17266
- Forest regeneration within Earth system models: current process representations and ways forward A. Hanbury‐Brown et al. 10.1111/nph.18131
- Impact of merging of historical and future climate data sets on land carbon cycle projections for South America C. Huntingford et al. 10.1002/cli2.24
- Modelling the impact of forest management and CO2-fertilisation on growth and demography in a Sitka spruce plantation A. Argles et al. 10.1038/s41598-023-39810-2
- Climate Change Risks to Global Forest Health: Emergence of Unexpected Events of Elevated Tree Mortality Worldwide H. Hartmann et al. 10.1146/annurev-arplant-102820-012804
- How Well Do We Understand the Land‐Ocean‐Atmosphere Carbon Cycle? D. Crisp et al. 10.1029/2021RG000736
- Dynamic Global Vegetation Models: Searching for the balance between demographic process representation and computational tractability A. Argles et al. 10.1371/journal.pclm.0000068
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- South American mountain ecosystems and global change – a case study for integrating theory and field observations for land surface modelling and ecosystem management L. Nagy et al. 10.1080/17550874.2023.2196966
- A theory of demographic optimality in forests J. Moore et al. 10.1038/s41598-023-44860-7
- Modeling demographic-driven vegetation dynamics and ecosystem biogeochemical cycling in NASA GISS's Earth system model (ModelE-BiomeE v.1.0) E. Weng et al. 10.5194/gmd-15-8153-2022
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13 citations as recorded by crossref.
- Representation of the phosphorus cycle in the Joint UK Land Environment Simulator (vn5.5_JULES-CNP) M. Nakhavali et al. 10.5194/gmd-15-5241-2022
- Linking plant hydraulics and the fast–slow continuum to understand resilience to drought in tropical ecosystems R. Oliveira et al. 10.1111/nph.17266
- Forest regeneration within Earth system models: current process representations and ways forward A. Hanbury‐Brown et al. 10.1111/nph.18131
- Impact of merging of historical and future climate data sets on land carbon cycle projections for South America C. Huntingford et al. 10.1002/cli2.24
- Modelling the impact of forest management and CO2-fertilisation on growth and demography in a Sitka spruce plantation A. Argles et al. 10.1038/s41598-023-39810-2
- Climate Change Risks to Global Forest Health: Emergence of Unexpected Events of Elevated Tree Mortality Worldwide H. Hartmann et al. 10.1146/annurev-arplant-102820-012804
- How Well Do We Understand the Land‐Ocean‐Atmosphere Carbon Cycle? D. Crisp et al. 10.1029/2021RG000736
- Dynamic Global Vegetation Models: Searching for the balance between demographic process representation and computational tractability A. Argles et al. 10.1371/journal.pclm.0000068
- Coupled regional Earth system modeling in the Baltic Sea region M. Gröger et al. 10.5194/esd-12-939-2021
- Uncertainty Analysis of Multisource Land Cover Products in China L. Wang & J. Jin 10.3390/su13168857
- South American mountain ecosystems and global change – a case study for integrating theory and field observations for land surface modelling and ecosystem management L. Nagy et al. 10.1080/17550874.2023.2196966
- A theory of demographic optimality in forests J. Moore et al. 10.1038/s41598-023-44860-7
- Modeling demographic-driven vegetation dynamics and ecosystem biogeochemical cycling in NASA GISS's Earth system model (ModelE-BiomeE v.1.0) E. Weng et al. 10.5194/gmd-15-8153-2022
1 citations as recorded by crossref.
Latest update: 29 Jun 2024
Short summary
The Robust Ecosystem Demography (RED) model simulates cohorts of vegetation through mass classes. RED establishes a framework for representing demographic changes through competition, growth, and mortality across the size distribution of a forest. The steady state of the model can be solved analytically, enabling initialization. When driven by mean growth rates from a land-surface model, RED is able to fit the observed global vegetation map, giving a map of implicit mortality rates.
The Robust Ecosystem Demography (RED) model simulates cohorts of vegetation through mass...
