Simulation study of the vegetation structure and function in eastern Siberian larch forests using the individual-based vegetation model SEIB-DGVM

Sato, Hisashi; Kobayashi, Hideki; Delbart, Nicolas

doi:10.1016/j.foreco.2009.10.019

Cited by 27 publications

(30 citation statements)

References 32 publications

(54 reference statements)

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“…Incorporating ecological realities of competition for light is fundamentally important to strengthen DGVM predictions (Purves and Pacala, 2008). SEIB-DGVM has been validated in various regions with different biomes (Ise and Sato, 2008;Sato, 2009;Sato et al, 2010). In this model, the ecological processes -ecophysiology, population, community, and ecosystem dynamicsare simulated in an integrated manner.…”

Section: Land Ecosystem Model -Seib-dgvmmentioning

confidence: 99%

MIROC-ESM 2010: model description and basic results of CMIP5-20c3m experiments

et al. 2011

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Abstract. An earth system model (MIROC-ESM 2010) is fully described in terms of each model component and their interactions. Results for the CMIP5 (Coupled Model Intercomparison Project phase 5) historical simulation are presented to demonstrate the model's performance from several perspectives: atmosphere, ocean, sea-ice, land-surface, ocean and terrestrial biogeochemistry, and atmospheric chemistry and aerosols. An atmospheric chemistry coupled version of MIROC-ESM (MIROC-ESM-CHEM 2010) reasonably reproduces transient variations in surface air temperatures for the period 1850-2005, as well as the presentday climatology for the zonal-mean zonal winds and temperatures from the surface to the mesosphere. The historical evolution and global distribution of column ozone and the amount of tropospheric aerosols are reasonably simulated in the model based on the Representative Concentration Pathways' (RCP) historical emissions of these precursors. The simulated distributions of the terrestrial and marine biogeochemistry parameters agree with recent observations, which is encouraging to use the model for future global change projections.

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Section: Land Ecosystem Model -Seib-dgvmmentioning

confidence: 99%

MIROC-ESM 2010: model description and basic results of CMIP5-20c3m experiments

et al. 2011

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“…[13] We adopted the modifications of Sato et al [2010] for the soil hydrology submodel, which simplified the original soil hydrology submodel into a simple bucket model in which net drainage is assumed to be negligible, and, therefore, there is no bottom runoff. Soil is divided into 30 soil layers, each of 100 mm depth.…”

Section: Soil Hydrologymentioning

confidence: 99%

Effect of plant dynamic processes on African vegetation responses to climate change: Analysis using the spatially explicit individual‐based dynamic global vegetation model (SEIB‐DGVM)

Sato

Ise

2012

J. Geophys. Res.

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[1] We applied a dynamic global vegetation model (DGVM) to the African continent. After calibration, the model reproduced geographical distributions of the continent's biomes, annual gross primary productivity (GPP), and biomass under current climatic conditions. The model is driven by the Intergovernmental Panel on Climate Change (IPCC) Special Report on Emission Scenarios (SRES) A1B scenario of rising CO 2 , and by climate changes during the twenty-first century resulting from the change in CO 2 concentrations, simulated by a coupled Model for Interdisciplinary Research on Climate (MIROC) ocean atmosphere model. Simulations under this condition revealed time lags between environmental change and biome change, with the extent of these lags depending largely on the type of biome change. A switch in forest type was accompanied by the longest delay in biome change among all changes classified, indicating that resident trees largely prevent the establishment of nonresident tree types adapted to the new environment, and that tree growth requires additional years after successful establishment. In addition, assumptions for tree dispersal, which determine whether nonresident tree types can be established, modified the patterns of biome change under the twenty-first-century environment: under the assumption that nonresident tree types cannot be established even if environmental conditions change, the extent of the forest type switch and the development of forest and savanna were suppressed, while forest dieback was enhanced. These changes accompanied a slowing of the increasing trend in net primary productivity (NPP), biomass, and soil carbon during the twenty-first century and in subsequent years. These results quantitatively demonstrate that both patch dynamics and invasive tree recruitment significantly modify the transient change in vegetation distribution and function under a changing environment on the African continent.Citation: Sato, H., and T. Ise (2012), Effect of plant dynamic processes on African vegetation responses to climate change: Analysis using the spatially explicit individual-based dynamic global vegetation model (SEIB-DGVM),

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“…Fuel load was calculated by using a Dynamic Global Vegetation Model (Sato et al, 2007(Sato et al, , 2009). …”

Section: A Ito: Mega Fire Emissions In Siberiamentioning

confidence: 99%

“…The carbon density is estimated from a global ecosystem model, the Spatially Explicit Individual-Based Dynamic Global Vegetation Model (SEIB-DGVM), which is described in detail in Sato et al (2007). The model simulates the global terrestrial vegetation and soil dynamics in association with the carbon and water cycle.…”

Section: Boreal Forestmentioning

confidence: 99%

Mega fire emissions in Siberia: potential supply of bioavailable iron from forests to the ocean

Ito

2011

Biogeosciences

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Abstract. Significant amounts of carbon and nutrients are released to the atmosphere due to large fires in forests. Characterization of the spatial distribution and temporal variation of the intense fire emissions is crucial for assessing the atmospheric loadings of trace gases and aerosols. This paper discusses issues of the representation of forest fires in the estimation of emissions and the application to an atmospheric chemistry transport model (CTM). The potential contribution of forest fires to the deposition of bioavailable iron (Fe) into the ocean is highlighted, with a focus on mega fires in eastern Siberia.Satellite products of burned area, active fire, and land cover are used to estimate biomass burning emissions in conjunction with a biogeochemical model. Satellite-derived plume height from MISR is used for the injection height of boreal forest fire emissions. This methodology is applied to quantify fire emission rates in each three-dimensional grid location in the high latitude Northern Hemisphere (>30 • N latitude) over a 5-yr period from 2001 to 2005. There is large interannual variation in forest burned area during 2001-2005 (13-49 × 10 3 km 2 yr −1 ) which results in a corresponding variation in the annual emissions of carbon monoxide (CO) (14-81 Tg CO yr −1 ). Satellite observations of CO column from MOPITT are used to evaluate the model performance in simulating the spatial distribution and temporal variation of the fire emissions. The model results for CO enhancements due to eastern Siberian fires are in good agreement with MOPITT observations. These validation results suggest that the model using emission rates estimated in this Correspondence to: A. Ito (akinorii@jamstec.go.jp) work is able to describe the interannual changes in CO due to intense forest fires.Bioavailable iron is derived from atmospheric processing of relatively insoluble iron from desert sources by anthropogenic pollutants (mainly sulfuric acid formed from oxidation of SO 2 ) and from direct emissions of soluble iron from combustion sources. Emission scenarios for IPCC AR5 report (Intergovernmental Panel on Climate Change; Fifth Assessment Report) suggest that anthropogenic SO 2 emissions are suppressed in the future to improve air quality. In future warmer and drier climate, severe fire years such as 2003 may become more frequent in boreal regions. The fire emission rates estimated in this study are applied to the aerosol chemistry transport model to examine the relative importance of biomass burning sources of soluble iron compared to those from dust sources. The model reveals that extreme fire events contribute to a significant deposition of soluble iron (20-40 %) to downwind regions over the western North Pacific Ocean, compared to the dust sources with no atmospheric processing by acidic species. These results suggest that the supply of nutrients from large forest fires plays a role as a negative biosphere-climate feedback with regards to the ocean fertilization.

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Simulation study of the vegetation structure and function in eastern Siberian larch forests using the individual-based vegetation model SEIB-DGVM

Cited by 27 publications

References 32 publications

MIROC-ESM 2010: model description and basic results of CMIP5-20c3m experiments

MIROC-ESM 2010: model description and basic results of CMIP5-20c3m experiments

Effect of plant dynamic processes on African vegetation responses to climate change: Analysis using the spatially explicit individual‐based dynamic global vegetation model (SEIB‐DGVM)

Mega fire emissions in Siberia: potential supply of bioavailable iron from forests to the ocean

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