Soil depth affects simulated carbon and water in the MC2 dynamic global vegetation model

2014 ◽  
Vol 294 ◽  
pp. 84-93 ◽  
Author(s):  
Wendy Peterman ◽  
Dominique Bachelet ◽  
Ken Ferschweiler ◽  
Timothy Sheehan
Keyword(s):  
Soil Depth ◽  
Vegetation Model ◽  
Dynamic Global Vegetation Model ◽  
Global Vegetation

scholarly journals The Jena Diversity-Dynamic Global Vegetation Model (JeDi-DGVM): a diverse approach to representing terrestrial biogeography and biogeochemistry based on plant functional trade-offs

2013 ◽  
Vol 10 (6) ◽  
pp. 4137-4177 ◽  
Author(s):  
R. Pavlick ◽  
D. T. Drewry ◽  
K. Bohn ◽  
B. Reu ◽  
A. Kleidon
Keyword(s):  
Functional Diversity ◽  
Land Surface ◽  
Grid Cell ◽  
Surface Fluxes ◽  
Growth Strategies ◽  
Vegetation Model ◽  
Terrestrial Biosphere ◽  
Dynamic Global Vegetation Model ◽  
Trade Offs ◽  
Global Vegetation

Abstract. 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.

Using a Dynamic Global Vegetation Model to Help Inform Management Decisions

2015 ◽  
pp. 151-170
Author(s):  
Joshua S. Halofsky ◽  
Jessica E. Halofsky ◽  
David R. Conklin ◽  
Dominique Bachelet ◽  
Miles A. Hemstrom ◽  
...  
Keyword(s):  
Vegetation Model ◽  
Management Decisions ◽  
Dynamic Global Vegetation Model ◽  
Global Vegetation

Development of the IAP Dynamic Global Vegetation Model

2014 ◽  
Vol 31 (3) ◽  
pp. 505-514 ◽  
Author(s):  
Xiaodong Zeng ◽  
Fang Li ◽  
Xiang Song
Keyword(s):  
Vegetation Model ◽  
Dynamic Global Vegetation Model ◽  
Global Vegetation

Simulating the seasonal cycle of 13C

2020 ◽  
Author(s):  
Sebastian Lienert ◽  
Christoph Köstler ◽  
Sönke Zaehle ◽  
Fortunat Joos
Keyword(s):  
Seasonal Cycle ◽  
Atmospheric Transport ◽  
High Sensitivity ◽  
System Model ◽  
Atmospheric Measurements ◽  
Vegetation Model ◽  
Dynamic Global Vegetation Model ◽  
The Earth ◽  
Long Lifetime ◽  
Global Vegetation

<p>We investigate the seasonal cycle of δ<sup>13</sup>CO<sub>2</sub> using the Earth system model of intermediate complexity Bern3D-LPX. Using a model of atmospheric transport (TM3), the spatial fields of simulated <sup>13</sup>CO<sub>2</sub> and CO<sub>2</sub> exchange are translated to local δ<sup>13</sup>CO<sub>2</sub> anomalies, which are then compared to atmospheric measurements. We discuss the ability of the model to accurately simulate the atmospheric seasonal δ<sup>13</sup>CO<sub>2 </sub>cycle<sub>, </sub>which could prove to be a valuable novel observational constraint. The coupled simulation allows us to distinguish the relative importance of the biosphere and ocean in determining the seasonal cycle of δ<sup>13</sup>CO<sub>2 </sub>at different measurement sites across the world.</p><p>The amplitude of the seasonal cycle of δ<sup>13</sup>CO<sub>2 </sub>is of particular importance to quantify land biosphere processes. The decreasing δ<sup>13</sup>CO<sub>2 </sub>of the atmosphere during the last decades (Suess effect) leads to a divergence of the δ<sup>13</sup>C signature in assimilation and heterotrophic respiration, because of the long lifetime of soil pools. This is expected to lead to a high sensitivity of the seasonal amplitude to the amount of soil respiration. The effect of changes in soil turnover times on the simulated seasonal cycle is explored with factorial simulations of the Dynamic Global Vegetation Model LPX-Bern.</p>

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