Articles | Volume 18, issue 14
https://doi.org/10.5194/bg-18-4473-2021
© 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/bg-18-4473-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Capturing functional strategies and compositional dynamics in vegetation demographic models
Polly C. Buotte
CORRESPONDING AUTHOR
Energy and Resources Group, University of California Berkeley,
Berkeley, CA, USA
Charles D. Koven
Climate and Ecosystem Sciences Division, Lawrence-Berkeley National
Laboratory, Berkeley, CA, USA
Chonggang Xu
Earth and Environmental Sciences Division, Los Alamos National
Laboratory, Los Alamos, NM, USA
Jacquelyn K. Shuman
Climate and Global Dynamics, Terrestrial Sciences Section, National
Center for Atmospheric Research, Boulder, CO, USA
Michael L. Goulden
Department of Earth System Science, University of California Irvine,
Irvine, CA, USA
Samuel Levis
SLevis Consulting, LLC, Oceanside, CA, USA
Jessica Katz
Energy and Resources Group, University of California Berkeley,
Berkeley, CA, USA
Junyan Ding
Climate and Ecosystem Sciences Division, Lawrence-Berkeley National
Laboratory, Berkeley, CA, USA
Wu Ma
Earth and Environmental Sciences Division, Los Alamos National
Laboratory, Los Alamos, NM, USA
Zachary Robbins
Forestry and Environmental Resources, North Carolina State University,
Raleigh, NC, USA
Lara M. Kueppers
Energy and Resources Group, University of California Berkeley,
Berkeley, CA, USA
Climate and Ecosystem Sciences Division, Lawrence-Berkeley National
Laboratory, Berkeley, CA, USA
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- Carbon stored in live ponderosa pines in the Sierra Nevada will not return to pre-drought (2012) levels during the 21st century due to bark beetle outbreaks Z. Robbins et al. 10.3389/fenvs.2023.1112756
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- Tree growth responses to extreme drought after mechanical thinning and prescribed fire in a Sierra Nevada mixed-conifer forest, USA H. Zald et al. 10.1016/j.foreco.2022.120107
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7 citations as recorded by crossref.
- A machine learning approach targeting parameter estimation for plant functional type coexistence modeling using ELM-FATES (v2.0) L. Li et al. 10.5194/gmd-16-4017-2023
- California annual grass phenology and allometry influence ecosystem dynamics and fire regime in a vegetation demography model X. Gao et al. 10.1111/nph.20421
- Carbon stored in live ponderosa pines in the Sierra Nevada will not return to pre-drought (2012) levels during the 21st century due to bark beetle outbreaks Z. Robbins et al. 10.3389/fenvs.2023.1112756
- MEDFATE 2.9.3: a trait-enabled model to simulate Mediterranean forest function and dynamics at regional scales M. De Cáceres et al. 10.5194/gmd-16-3165-2023
- Dynamic ecosystem assembly and escaping the “fire trap” in the tropics: insights from FATES_15.0.0 J. Shuman et al. 10.5194/gmd-17-4643-2024
- Integration of a Frost Mortality Scheme Into the Demographic Vegetation Model FATES M. Lambert et al. 10.1029/2022MS003333
- Tree growth responses to extreme drought after mechanical thinning and prescribed fire in a Sierra Nevada mixed-conifer forest, USA H. Zald et al. 10.1016/j.foreco.2022.120107
1 citations as recorded by crossref.
Latest update: 22 Feb 2025
Short summary
We present an approach for ensuring the definitions of plant types in dynamic vegetation models are connected to the underlying ecological processes controlling community composition. Our approach can be applied regionally or globally. Robust resolution of community composition will allow us to use these models to address important questions related to future climate and management effects on plant community composition, structure, carbon storage, and feedbacks within the Earth system.
We present an approach for ensuring the definitions of plant types in dynamic vegetation models...
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