Capturing functional strategies and compositional dynamics in vegetation demographic models
<p>Plant community composition influences carbon, water, and energy fluxes at regional to global scales. Vegetation demographic models (VDMs) allow investigation of the effects of changing climate and disturbance regimes on vegetation composition and fluxes. Such investigation requires that th...
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doaj-67975ea98f784f2cbdec7b44508094c62021-07-30T12:41:27ZengCopernicus PublicationsBiogeosciences1726-41701726-41892021-07-01184473449010.5194/bg-18-4473-2021Capturing functional strategies and compositional dynamics in vegetation demographic modelsP. C. Buotte0C. D. Koven1C. Xu2J. K. Shuman3M. L. Goulden4S. Levis5J. Katz6J. Ding7W. Ma8Z. Robbins9L. M. Kueppers10L. M. Kueppers11Energy and Resources Group, University of California Berkeley, Berkeley, CA, USAClimate and Ecosystem Sciences Division, Lawrence-Berkeley National Laboratory, Berkeley, CA, USAEarth and Environmental Sciences Division, Los Alamos National Laboratory, Los Alamos, NM, USAClimate and Global Dynamics, Terrestrial Sciences Section, National Center for Atmospheric Research, Boulder, CO, USADepartment of Earth System Science, University of California Irvine, Irvine, CA, USASLevis Consulting, LLC, Oceanside, CA, USAEnergy and Resources Group, University of California Berkeley, Berkeley, CA, USAClimate and Ecosystem Sciences Division, Lawrence-Berkeley National Laboratory, Berkeley, CA, USAEarth and Environmental Sciences Division, Los Alamos National Laboratory, Los Alamos, NM, USAForestry and Environmental Resources, North Carolina State University, Raleigh, NC, USAEnergy and Resources Group, University of California Berkeley, Berkeley, CA, USAClimate and Ecosystem Sciences Division, Lawrence-Berkeley National Laboratory, Berkeley, CA, USA<p>Plant community composition influences carbon, water, and energy fluxes at regional to global scales. Vegetation demographic models (VDMs) allow investigation of the effects of changing climate and disturbance regimes on vegetation composition and fluxes. Such investigation requires that the models can accurately resolve these feedbacks to simulate realistic composition. Vegetation in VDMs is composed of plant functional types (PFTs), which are specified according to plant traits. Defining PFTs is challenging due to large variability in trait observations within and between plant types and a lack of understanding of model sensitivity to these traits. Here we present an approach for developing PFT parameterizations that are connected to the underlying ecological processes determining forest composition in the mixed-conifer forest of the Sierra Nevada of California, USA. We constrain multiple relative trait values between PFTs, as opposed to randomly sampling within the range of observations. An ensemble of PFT parameterizations are then filtered based on emergent forest properties meeting observation-based ecological criteria under alternate disturbance scenarios. A small ensemble of alternate PFT parameterizations is identified that produces plausible forest composition and demonstrates variability in response to disturbance frequency and regional environmental variation. Retaining multiple PFT parameterizations allows us to quantify the uncertainty in forest responses due to variability in trait observations. Vegetation composition is a key emergent outcome from VDMs and our methodology provides a foundation for robust PFT parameterization across ecosystems.</p>https://bg.copernicus.org/articles/18/4473/2021/bg-18-4473-2021.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
P. C. Buotte C. D. Koven C. Xu J. K. Shuman M. L. Goulden S. Levis J. Katz J. Ding W. Ma Z. Robbins L. M. Kueppers L. M. Kueppers |
spellingShingle |
P. C. Buotte C. D. Koven C. Xu J. K. Shuman M. L. Goulden S. Levis J. Katz J. Ding W. Ma Z. Robbins L. M. Kueppers L. M. Kueppers Capturing functional strategies and compositional dynamics in vegetation demographic models Biogeosciences |
author_facet |
P. C. Buotte C. D. Koven C. Xu J. K. Shuman M. L. Goulden S. Levis J. Katz J. Ding W. Ma Z. Robbins L. M. Kueppers L. M. Kueppers |
author_sort |
P. C. Buotte |
title |
Capturing functional strategies and compositional dynamics in vegetation demographic models |
title_short |
Capturing functional strategies and compositional dynamics in vegetation demographic models |
title_full |
Capturing functional strategies and compositional dynamics in vegetation demographic models |
title_fullStr |
Capturing functional strategies and compositional dynamics in vegetation demographic models |
title_full_unstemmed |
Capturing functional strategies and compositional dynamics in vegetation demographic models |
title_sort |
capturing functional strategies and compositional dynamics in vegetation demographic models |
publisher |
Copernicus Publications |
series |
Biogeosciences |
issn |
1726-4170 1726-4189 |
publishDate |
2021-07-01 |
description |
<p>Plant community composition influences carbon, water, and
energy fluxes at regional to global scales. Vegetation demographic models
(VDMs) allow investigation of the effects of changing climate and
disturbance regimes on vegetation composition and fluxes. Such investigation
requires that the models can accurately resolve these feedbacks to simulate
realistic composition. Vegetation in VDMs is composed of plant functional
types (PFTs), which are specified according to plant traits. Defining PFTs
is challenging due to large variability in trait observations within and
between plant types and a lack of understanding of model sensitivity to
these traits. Here we present an approach for developing PFT
parameterizations that are connected to the underlying ecological processes
determining forest composition in the mixed-conifer forest of the Sierra
Nevada of California, USA. We constrain multiple relative trait
values between PFTs, as opposed to randomly sampling within the range of
observations. An ensemble of PFT parameterizations are then filtered based
on emergent forest properties meeting observation-based ecological criteria
under alternate disturbance scenarios. A small ensemble of alternate PFT
parameterizations is identified that produces plausible forest composition
and demonstrates variability in response to disturbance frequency and
regional environmental variation. Retaining multiple PFT parameterizations
allows us to quantify the uncertainty in forest responses due to variability
in trait observations. Vegetation composition is a key emergent outcome from
VDMs and our methodology provides a foundation for robust PFT
parameterization across ecosystems.</p> |
url |
https://bg.copernicus.org/articles/18/4473/2021/bg-18-4473-2021.pdf |
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