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Titel |
The Jena Diversity-Dynamic Global Vegetation Model (JeDi-DGVM): a diverse approach to representing terrestrial biogeography and biogeochemistry based on plant functional trade-offs |
VerfasserIn |
R. Pavlick, D. T. Drewry, K. Bohn, B. Reu, A. Kleidon |
Medientyp |
Artikel
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Sprache |
Englisch
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ISSN |
1726-4170
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Digitales Dokument |
URL |
Erschienen |
In: Biogeosciences ; 10, no. 6 ; Nr. 10, no. 6 (2013-06-21), S.4137-4177 |
Datensatznummer |
250018305
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Publikation (Nr.) |
copernicus.org/bg-10-4137-2013.pdf |
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Zusammenfassung |
Terrestrial biosphere models typically abstract the
immense diversity of vegetation forms and functioning into
a relatively small set of predefined semi-empirical plant functional
types (PFTs). There is growing evidence, however, from the field
ecology community as well as from modelling studies that current PFT
schemes may not adequately represent the observed variations in
plant functional traits and their effect on ecosystem
functioning. In this paper, we introduce the Jena Diversity-Dynamic Global Vegetation Model
(JeDi-DGVM) as a new approach to terrestrial biosphere modelling with
a richer representation of functional diversity than traditional
modelling approaches based on a small number of fixed PFTs.
JeDi-DGVM simulates the performance of a large number of
randomly generated plant growth strategies, each defined by
a set of 15 trait parameters which characterize various aspects of
plant functioning including carbon allocation, ecophysiology and
phenology. Each trait parameter is involved in one or more
functional trade-offs. These trade-offs ultimately determine whether
a strategy is able to survive under the climatic conditions in a given
model grid cell and its performance relative to the other strategies. The
biogeochemical fluxes and land surface properties of the individual
strategies are aggregated to the grid-cell scale using a mass-based
weighting scheme.
We evaluate the simulated global biogeochemical patterns
against a variety of field and satellite-based observations following a
protocol established by the Carbon-Land Model Intercomparison Project. The
land surface fluxes and vegetation structural properties are reasonably well
simulated by JeDi-DGVM, and compare favourably with other state-of-the-art
global vegetation models. We also evaluate the simulated patterns of
functional diversity and the sensitivity of the JeDi-DGVM modelling approach
to the number of sampled strategies. Altogether, the results demonstrate the
parsimonious and flexible nature of a functional trade-off approach to global
vegetation modelling, i.e. it can provide more types of testable outputs than
standard PFT-based approaches and with fewer inputs.
The approach implemented here in JeDi-DGVM sets the foundation for future
applications that will explore the impacts of explicitly resolving diverse
plant communities, allowing for a more flexible temporal and spatial
representation of the structure and function of the terrestrial biosphere. |
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