Growing temperate shrubs over arid and semiarid regions in the Community Land Model–Dynamic Global Vegetation Model

Zeng, Xiaodong; Zeng, Xubin; Barlage, Michael

doi:10.1029/2007gb003014

Cited by 78 publications

(95 citation statements)

References 46 publications

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“…Recognizing the importance of shrubs in global change, Zeng et al (2008b) developed a temperate shrub submodel for CLM-DGVM together with other modifications and successfully reproduced the global distribution of temperate shrubs in agreement with observations. This paper expands Zeng et al (2008b) by further including the boreal shrubs.…”

Section: The Improved Clm30-dgvmmentioning

confidence: 49%

“…This paper expands Zeng et al (2008b) by further including the boreal shrubs. Boreal shrubs are mainly distributed in the northern part of Asia and North America, as well as in high elevation areas such as the Tibetan Plateau.…”

Section: The Improved Clm30-dgvmmentioning

confidence: 99%

“…Simulations of the current global vegetation distribution have been carried out by some DGVMs, together with some statistics such as the percent of vegetation coverage (e.g., Sitch et al, 2003;Bonan and Levis, 2006;Zeng et al, 2008b). Results show that DGVMs can roughly reproduce the regimes of forest, grassland, and desert, despite various biases and even the lack of some important plant functional types such as shrubs in some of the models.…”

Section: Introductionmentioning

confidence: 99%

“…Hence, it is better to evaluate a DGVM according to its performance in reproducing the vegetation-climate relationship revealed by previous ecological studies. However, the direct analyses of vegetation-climate relationships in DGVMs have been mainly ignored, with only a few preliminary studies on the dependence of vegetation forms on precipitation (Zeng et al, 2008b).…”

Section: Introductionmentioning

confidence: 99%

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Evaluating the dependence of vegetation on climate in an improved dynamic global vegetation model

Zeng

2010

Adv. Atmos. Sci.

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The capability of an improved Dynamic Global Vegetation Model (DGVM) in reproducing the impact of climate on the terrestrial ecosystem is evaluated. The new model incorporates the Community Land Model-DGVM (CLM3.0-DGVM) with a submodel for temperate and boreal shrubs, as well as other revisions such as the "two-leaf" scheme for photosynthesis and the definition of fractional coverage of plant functional types (PFTs). Results show that the revised model may correctly reproduce the global distribution of temperate and boreal shrubs, and improves the model performance with more realistic distribution of different vegetation types. The revised model also correctly reproduces the zonal distributions of vegetation types. In reproducing the dependence of the vegetation distribution on climate conditions, the model shows that the dominant regions for trees, grasses, shrubs, and bare soil are clearly separated by a climate index derived from mean annual precipitation and temperature, in good agreement with the CLM4 surface data. The dominant plant functional type mapping to a two dimensional parameter space of mean annual temperature and precipitation also qualitatively agrees with the results from observations and theoretical ecology studies.

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Section: The Improved Clm30-dgvmmentioning

confidence: 49%

Section: The Improved Clm30-dgvmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Evaluating the dependence of vegetation on climate in an improved dynamic global vegetation model

Zeng

2010

Adv. Atmos. Sci.

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“…Desert area is overestimated over Australia. Since vegetation cover strongly depends on the amount of precipitation, it is useful to evaluate the ability of the model to reproduce the observed PFT distribution as a function of precipitation (Zeng et al, 2008). The modelled bare soil fraction as a function of annual precipitation perfectly matches the observed distribution (Fig.…”

Section: Biogeochemistrymentioning

confidence: 97%

PALADYN v1.0, a comprehensive land surface–vegetation–carbon cycle model of intermediate complexity

Willeit

Ganopolski

2016

Geosci. Model Dev.

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Abstract. PALADYN is presented; it is a new comprehensive and computationally efficient land surface-vegetationcarbon cycle model designed to be used in Earth system models of intermediate complexity for long-term simulations and paleoclimate studies.The model treats in a consistent manner the interaction between atmosphere, terrestrial vegetation and soil through the fluxes of energy, water and carbon. Energy, water and carbon are conserved. PALADYN explicitly treats permafrost, both in physical processes and as an important carbon pool. It distinguishes nine surface types: five different vegetation types, bare soil, land ice, lake and ocean shelf. Including the ocean shelf allows the treatment of continuous changes in sea level and shelf area associated with glacial cycles. Over each surface type, the model solves the surface energy balance and computes the fluxes of sensible, latent and ground heat and upward shortwave and longwave radiation. The model includes a single snow layer.

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Investigation of North American vegetation variability under recent climate: A study using the SSiB4/TRIFFID biophysical/dynamic vegetation model

et al. 2015

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Recent studies have shown that current dynamic vegetation models have serious weaknesses in reproducing the observed vegetation dynamics and contribute to bias in climate simulations. This study intends to identify the major factors that underlie the connections between vegetation dynamics and climate variability and investigates vegetation spatial distribution and temporal variability at seasonal to decadal scales over North America (NA) to assess a 2-D biophysical model/dynamic vegetation model's (Simplified Simple Biosphere Model version 4, coupled with the Top-down Representation of Interactive Foliage and Flora Including Dynamics Model (SSiB4/TRIFFID)) ability to simulate these characteristics for the past 60 years (1948 through 2008). Satellite data are employed as constraints for the study and to compare the relationships between vegetation and climate from the observational and the simulation data sets. Trends in NA vegetation over this period are examined. The optimum temperature for photosynthesis, leaf drop threshold temperatures, and competition coefficients in the Lotka-Volterra equation, which describes the population dynamics of species competing for some common resource, have been identified as having major impacts on vegetation spatial distribution and obtaining proper initial vegetation conditions in SSiB4/TRIFFID. The finding that vegetation competition coefficients significantly affect vegetation distribution suggests the importance of including biotic effects in dynamical vegetation modeling. The improved SSiB4/TRIFFID can reproduce the main features of the NA distributions of dominant vegetation types, the vegetation fraction, and leaf area index (LAI), including its seasonal, interannual, and decadal variabilities. The simulated NA LAI also shows a general increasing trend after the 1970s in responding to warming. Both simulation and satellite observations reveal that LAI increased substantially in the southeastern U.S. starting from the 1980s. The effects of the severe drought during 1987-1992 and the last decade in the southwestern U.S. on vegetation are also evident from decreases in the simulated and satellite-derived LAIs. Both simulated and satellite-derived LAIs have the strongest correlations with air temperature at northern middle to high latitudes in spring reflecting the effect of these climatic variables on photosynthesis and phenological processes. Meanwhile, in southwestern dry lands, negative correlations appear due to the heat and moisture stress there during the summer. Furthermore, there are also positive correlations between soil wetness and LAI, which increases from spring to summer. The present study shows both the current improvements and remaining weaknesses in dynamical vegetation models. It also highlights large continental-scale variations that have occurred in NA vegetation over the past six decades and their potential relations to climate. With more observational data availability, more studies with different models and focusing on different regions wil...

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Growing temperate shrubs over arid and semiarid regions in the Community Land Model–Dynamic Global Vegetation Model

Cited by 78 publications

References 46 publications

Evaluating the dependence of vegetation on climate in an improved dynamic global vegetation model

Evaluating the dependence of vegetation on climate in an improved dynamic global vegetation model

PALADYN v1.0, a comprehensive land surface–vegetation–carbon cycle model of intermediate complexity

Investigation of North American vegetation variability under recent climate: A study using the SSiB4/TRIFFID biophysical/dynamic vegetation model

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