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Development of the Temperate Shrub Submodel for the Community Land Model-Dynamic Global Vegetation Model (CLM-DGVM)
Xubin ZengXiaodong ZengMike Barlage
Department of Atmospheric Sciences
University of ArizonaTucson, AZ 85721
Motivation
• Dry regions represent a large fraction of the global land;
• Most of the existing Dynamic Global Vegetation Model (DGVMs) do not include shrubs or do not effectively distinguish shrubs from grasses;
• Exclusion of DGVMs and associated carbon cycle is recognized as one of the main deficiencies of IPCC AR4 model simulations
Without
Without shrub components, the NCAR CLM-DGVM is deficient in simulating the global distribution of tree-grass-shrub distributionscompared with the MODIS data
Figure 1
Default DGVMphotosynthesisover SW U.S.
MODIS-basedphotosynthesis(from Runninget al.)
Shrubs can not be established in the default DGVM due to too smallphotosynthesis
Figure 2
BDT: broadleaf deciduous treeNET: needleleaf evergreen tree
Shrub Submodel
• drought-tolerance in the photosynthesis computation – use of different soil moisture stress function for shrubs
• appropriate phenology type – raingreen for shrubs; no air temperature limitation for establishment
• appropriate morphology parameters• consistent treatment of fractional vegetation coverage
[in default DGVM, photosynthesis over plant crown area (PCA) while plant maintenance respiration over foliar projective cover (FPC) are used; FPC < PCA]
• tree/grass/shrub hierarchy for light competition
solid line: newdotted: control
Shrubs can exist whengrasses or treescannot in the default DGVM
Shrubs occupiesthe bare area and slightly reducesgrass area indefault DGVM Figure 3
solid line: with shrubdotted line: DGVM
Shrubs occupies shrubs do not existthe bare area
Figure 4400-Yr Simulation using DGVM with shrub submodel
Figure 5
New -- ControlFigure 6
Panels (a), (b) and (d): surprising that tree/grass competition and soil moisture are affected over NH high latitudesPanel (c): shrubs cover part of the bare over arid regions
Figure 7
Shrubs coverthe correct regions but quantitativecomparisonsare difficult.
Why? (see Fig. 8)
Figure 8
Both MODIS land coverand fractional vegetationcover (FVC) data are needed for DGVM evaluations
NEWOLD
MODISLand cover+ FVC
MODISLand coveronly
Figure 9
Summary• Developed a shrub submodel for the DGVM for the global competition of trees, grass, and shrubs • Shrubs grow primarily by reducing the bare soil coverage and to a lesser degree, by decreasing the grass coverage
• Shrub coverage reaches its peak around annual precipitation (Pann) of 300 mm, the grass coverage reaches its peak over a
broad range of Pann (from 400-1100 mm), and the tree coverage reaches its peak for Pann = 1500 mm or higher (Fig. 9)
• Use of MODIS land cover data alone is not sufficient for the DGVM model evaluation (particularly for shrubs) (Fig. 9)
Figure 10
Remaining issues: a) MODIS shows a significant boreal shrub coverage which is not covered in this work; b) as mentioned in Fig. 6, high latitude tree/grass competition is affected
Current work: develop the boreal shrub submodel
Vegetation Pattern and DiversityVegetation Pattern and Diversity
(1) (2) (3) (4) (5) (6) (7)
Figure 11 Response of Ecosystem to Perturbations
Moisture index = 0.25 (very dry)
can not fullyrecover afterremoval
Moisture index= 0.26 (dry)
can largely recover after removal
Figure 12 Additional conclusions from Figs. 11 & 12
• Developed a 3-variable ecosystem model for dry regions to simulate the bifurcation and spatial patterns and study the
effect of grazing and climate variability on ecosystem
• When spatial interactions are included, vegetation can exist
even under the environmental condition in which uniform vegetation cannot exist
• None of the current DGVMs or land models considers spatial
interactions
• These modeling results need to be confirmed using high-resolution
satellite and insitu data
Relevant publications
• X.D. Zeng, X. Zeng, and M. Barlage, 2008: Growing temperate
shrubs over arid and semiarid regions in the NCAR Dynamic
Global Vegetation Model (CLM-DGVM). Global Biogeochemical
Cycles, in press.
• X.D. Zeng, and X. Zeng, 2007: Transition and pattern diversity
in arid and semiarid grassland: A modeling study. J. Geophys.
Res.-Biogeosciences, 112, G04008, doi:10.1029/2007JG000411.
• Miller, J., M. Barlage, X. Zeng, H. Wei, K. Mitchell, and D.
Tarpley, 2006: Sensitivity of the NCEP Noah land model to the
MODIS green vegetation fraction dataset. Geophys. Res. Lett.,
33, L13404, doi:10.1029/2006GL026636.
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