Improvements of a dynamic global vegetation model and simulations of carbon and water at an upland-oak forest

Jiafu Mao; Bin Wang; Yongjiu Dai; F. I. Woodward; P. J. Hanson; M. R. Lomas

doi:10.1007/s00376-007-0311-7

Improvements of a dynamic global vegetation model and simulations of carbon and water at an upland-oak forest

Jiafu Mao, Bin Wang, Yongjiu Dai, F. I. Woodward, P. J. Hanson, M. R. Lomas

Environmental Sciences Division

Research output: Contribution to journal › Article › peer-review

9 Scopus citations

Abstract

The interest in the development and improvement of dynamic global vegetation models (DGVMs), which have the potential to simulate fluxes of carbon, water and nitrogen, along with changes in the vegetation dynamics, within an integrated system, has been increasing. In this paper, some numerical schemes and a higher resolution soil texture dataset were employed to improve the Sheffield Dynamic Global Vegetation Model (SDGVM). Using eddy covariance-based measurements, we then tested the standard version of the SDGVM and the modified version of the SDGVM. Detailed observations of daily carbon and water fluxes made at the upland oak forest on the Walker Branch Watershed in Tennessee, USA offered a unique opportunity for these comparisons. The results revealed that the modified version of the SDGVM did a reasonable job of simulating the carbon and water flux and the variation of soil water content (SWC). However, at the end of the growing season, it failed to simulate the effect of the limitations on the soil respiration dynamics and as a result underestimated this respiration. It was also noted that the modified version overestimated the increase in the SWC following summer rainfall, which was attributed to an inadequate representation of the ground water and thermal cycle.

Original language	English
Pages (from-to)	311-322
Number of pages	12
Journal	Advances in Atmospheric Sciences
Volume	24
Issue number	2
DOIs	https://doi.org/10.1007/s00376-007-0311-7
State	Published - Mar 2007

Funding

Acknowledgements. This paper is partly supported by the Chinese Academy of Sciences International Partnership Creative Group “The Climate System Model Development and Application Studies”, the 973 project under Grant No. 2005CB321703, the Fund for Innovative Research Groups with Grant No. 40221503, the National Natural Science Foundation of China under Grant Nos. 40225013 and the NSFC project with Grant No. 40233031. The participation of Paul J. Hanson in this work was supported by the U.S. Department of Energy (DOE), Office of Science, Biological and Environmental Research (BER), as a part of the Program for Ecosystem Research (PER). The data from the Walker Branch AmeriFlux tower site (Kell Wilson and Dennis Baldocchi) was developed with funding from the DOE, Office of Science (BER) as a part of its Terrestrial Carbon Processes (TCP) program and from NASA/GEWEX.

Funders	Funder number
973 project	2005CB321703
Chinese Academy of Sciences International Partnership Creative Group
Fund for Innovative Research Groups	40221503
NASA/GEWEX
U.S. Department of Energy
Office of Science
Biological and Environmental Research
National Natural Science Foundation of China	40233031, 40225013

Keywords

Calibration
Dynamic global vegetation models
Eddy covariance
Terrestrial carbon and water fluxes

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10.1007/s00376-007-0311-7

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abstract = "The interest in the development and improvement of dynamic global vegetation models (DGVMs), which have the potential to simulate fluxes of carbon, water and nitrogen, along with changes in the vegetation dynamics, within an integrated system, has been increasing. In this paper, some numerical schemes and a higher resolution soil texture dataset were employed to improve the Sheffield Dynamic Global Vegetation Model (SDGVM). Using eddy covariance-based measurements, we then tested the standard version of the SDGVM and the modified version of the SDGVM. Detailed observations of daily carbon and water fluxes made at the upland oak forest on the Walker Branch Watershed in Tennessee, USA offered a unique opportunity for these comparisons. The results revealed that the modified version of the SDGVM did a reasonable job of simulating the carbon and water flux and the variation of soil water content (SWC). However, at the end of the growing season, it failed to simulate the effect of the limitations on the soil respiration dynamics and as a result underestimated this respiration. It was also noted that the modified version overestimated the increase in the SWC following summer rainfall, which was attributed to an inadequate representation of the ground water and thermal cycle.",

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Improvements of a dynamic global vegetation model and simulations of carbon and water at an upland-oak forest

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Keywords

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