Modeling demographic-driven vegetation dynamics and ecosystem biogeochemical cycling in NASA GISS's Earth system model (ModelE-BiomeE v.1.0)
<p>We developed a demographic vegetation model, BiomeE, to improve the modeling of vegetation dynamics and ecosystem biogeochemical cycles in the NASA Goddard Institute of Space Studies' ModelE Earth system model. This model includes the processes of plant growth, mortality, reproduction,...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2022-11-01
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| Series: | Geoscientific Model Development |
| Online Access: | https://gmd.copernicus.org/articles/15/8153/2022/gmd-15-8153-2022.pdf |
| _version_ | 1811224894794366976 |
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| author | E. Weng E. Weng I. Aleinov I. Aleinov R. Singh R. Singh M. J. Puma M. J. Puma S. S. McDermid N. Y. Kiang M. Kelley K. Wilcox R. Dybzinski C. E. Farrior S. W. Pacala B. I. Cook |
| author_facet | E. Weng E. Weng I. Aleinov I. Aleinov R. Singh R. Singh M. J. Puma M. J. Puma S. S. McDermid N. Y. Kiang M. Kelley K. Wilcox R. Dybzinski C. E. Farrior S. W. Pacala B. I. Cook |
| author_sort | E. Weng |
| collection | DOAJ |
| description | <p>We developed a demographic vegetation model, BiomeE, to improve the modeling of vegetation dynamics and ecosystem biogeochemical cycles in the NASA Goddard Institute of Space Studies' ModelE Earth system model. This model includes the processes of plant growth, mortality, reproduction, vegetation structural dynamics, and soil carbon and nitrogen storage and transformations. The model combines the plant physiological processes of ModelE's original vegetation model, Ent, with the plant demographic and ecosystem nitrogen processes that have been represented in the Geophysical Fluid Dynamics Laboratory's LM3-PPA. We used nine plant functional types to represent global natural vegetation functional diversity, including trees, shrubs, and grasses, and a new phenology model to simulate vegetation seasonal changes with temperature and precipitation fluctuations. Competition for light and soil resources is individual based, which makes the modeling of transient compositional dynamics and vegetation succession possible. Overall, the BiomeE model simulates, with fidelity comparable to other models, the dynamics of vegetation and soil biogeochemistry, including leaf area index, vegetation structure (e.g., height, tree density, size distribution, and crown organization), and ecosystem carbon and nitrogen storage and fluxes. This model allows ModelE to simulate transient and long-term biogeophysical and biogeochemical feedbacks between the climate system and land ecosystems. Furthermore, BiomeE also allows for the eco-evolutionary modeling of community assemblage in response to past and future climate changes with its individual-based competition and demographic processes.</p> |
| first_indexed | 2024-04-12T08:56:32Z |
| format | Article |
| id | doaj.art-d32ed5cb3a85402eaa3d639d97edf754 |
| institution | Directory Open Access Journal |
| issn | 1991-959X 1991-9603 |
| language | English |
| last_indexed | 2024-04-12T08:56:32Z |
| publishDate | 2022-11-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Geoscientific Model Development |
| spelling | doaj.art-d32ed5cb3a85402eaa3d639d97edf7542022-12-22T03:39:23ZengCopernicus PublicationsGeoscientific Model Development1991-959X1991-96032022-11-01158153818010.5194/gmd-15-8153-2022Modeling demographic-driven vegetation dynamics and ecosystem biogeochemical cycling in NASA GISS's Earth system model (ModelE-BiomeE v.1.0)E. Weng0E. Weng1I. Aleinov2I. Aleinov3R. Singh4R. Singh5M. J. Puma6M. J. Puma7S. S. McDermid8N. Y. Kiang9M. Kelley10K. Wilcox11R. Dybzinski12C. E. Farrior13S. W. Pacala14B. I. Cook15Center for Climate Systems Research, Columbia University, New York, NY 10025, USANASA Goddard Institute for Space Studies, 2880 Broadway, New York, NY 10025, USACenter for Climate Systems Research, Columbia University, New York, NY 10025, USANASA Goddard Institute for Space Studies, 2880 Broadway, New York, NY 10025, USACenter for Climate Systems Research, Columbia University, New York, NY 10025, USANASA Goddard Institute for Space Studies, 2880 Broadway, New York, NY 10025, USACenter for Climate Systems Research, Columbia University, New York, NY 10025, USANASA Goddard Institute for Space Studies, 2880 Broadway, New York, NY 10025, USADepartment of Environmental Studies, New York University, New York, NY 10003, USANASA Goddard Institute for Space Studies, 2880 Broadway, New York, NY 10025, USANASA Goddard Institute for Space Studies, 2880 Broadway, New York, NY 10025, USADepartment of Ecosystem Science and Management, University of Wyoming, Laramie, WY 82071, USASchool of Environmental Sustainability, Loyola University Chicago, Chicago, IL 60660, USADepartment of Integrative Biology, University of Texas at Austin, Austin, TX 78712, USADepartment of Ecology and Evolutionary Biology, Princeton University, Princeton, NJ 08544, USANASA Goddard Institute for Space Studies, 2880 Broadway, New York, NY 10025, USA<p>We developed a demographic vegetation model, BiomeE, to improve the modeling of vegetation dynamics and ecosystem biogeochemical cycles in the NASA Goddard Institute of Space Studies' ModelE Earth system model. This model includes the processes of plant growth, mortality, reproduction, vegetation structural dynamics, and soil carbon and nitrogen storage and transformations. The model combines the plant physiological processes of ModelE's original vegetation model, Ent, with the plant demographic and ecosystem nitrogen processes that have been represented in the Geophysical Fluid Dynamics Laboratory's LM3-PPA. We used nine plant functional types to represent global natural vegetation functional diversity, including trees, shrubs, and grasses, and a new phenology model to simulate vegetation seasonal changes with temperature and precipitation fluctuations. Competition for light and soil resources is individual based, which makes the modeling of transient compositional dynamics and vegetation succession possible. Overall, the BiomeE model simulates, with fidelity comparable to other models, the dynamics of vegetation and soil biogeochemistry, including leaf area index, vegetation structure (e.g., height, tree density, size distribution, and crown organization), and ecosystem carbon and nitrogen storage and fluxes. This model allows ModelE to simulate transient and long-term biogeophysical and biogeochemical feedbacks between the climate system and land ecosystems. Furthermore, BiomeE also allows for the eco-evolutionary modeling of community assemblage in response to past and future climate changes with its individual-based competition and demographic processes.</p>https://gmd.copernicus.org/articles/15/8153/2022/gmd-15-8153-2022.pdf |
| spellingShingle | E. Weng E. Weng I. Aleinov I. Aleinov R. Singh R. Singh M. J. Puma M. J. Puma S. S. McDermid N. Y. Kiang M. Kelley K. Wilcox R. Dybzinski C. E. Farrior S. W. Pacala B. I. Cook Modeling demographic-driven vegetation dynamics and ecosystem biogeochemical cycling in NASA GISS's Earth system model (ModelE-BiomeE v.1.0) Geoscientific Model Development |
| title | Modeling demographic-driven vegetation dynamics and ecosystem biogeochemical cycling in NASA GISS's Earth system model (ModelE-BiomeE v.1.0) |
| title_full | Modeling demographic-driven vegetation dynamics and ecosystem biogeochemical cycling in NASA GISS's Earth system model (ModelE-BiomeE v.1.0) |
| title_fullStr | Modeling demographic-driven vegetation dynamics and ecosystem biogeochemical cycling in NASA GISS's Earth system model (ModelE-BiomeE v.1.0) |
| title_full_unstemmed | Modeling demographic-driven vegetation dynamics and ecosystem biogeochemical cycling in NASA GISS's Earth system model (ModelE-BiomeE v.1.0) |
| title_short | Modeling demographic-driven vegetation dynamics and ecosystem biogeochemical cycling in NASA GISS's Earth system model (ModelE-BiomeE v.1.0) |
| title_sort | modeling demographic driven vegetation dynamics and ecosystem biogeochemical cycling in nasa giss s earth system model modele biomee v 1 0 |
| url | https://gmd.copernicus.org/articles/15/8153/2022/gmd-15-8153-2022.pdf |
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