Application of BIOME-BGC model to managed forests

Tatarinov, Fyodor; Cienciala, Emil

doi:10.1016/j.foreco.2006.09.085

Cited by 88 publications

(69 citation statements)

References 32 publications

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“…Fine root growth at depth is likely to increase the resilience of forests ecosystems to climate change, providing access to water pools stored in deep soil layers during rainfall seasons. Although process-based models are largely dependent on reliable estimations of water availability, the ability of trees to take up water in very deep soil layers throughout their development is still poorly known (Jackson et al 2000, Tatarinov andCienciala 2006). A relationship making it possible to assess the volume of soil explored by fine roots from aboveground trees attributes (extensively studied) would then be highly valuable to improve current tree growth models on deep tropical soils.…”

Section: Introductionmentioning

confidence: 99%

Almost symmetrical vertical growth rates above and below ground in one of the world's most productive forests

et al. 2011

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Abstract. Whilst the relationships between growth strategies and leaf traits are well established in functional plant ecology, little attention has been paid to root traits in very deep soil layers. The objective of our study was to compare the vertical velocity of the above-and belowground exploration of the environment for one of the fastest-growing tree species. Fine roots were studied in a chronosequence of intensively-managed Eucalyptus plantations established on highly weathered soils. Here we show that the root front depth was accurately predicted at 85% of mean tree height for stands ,20 m in height, in the absence of any physical or chemical barrier. Tree height and root front growth velocities peaked at 0.59 and 0.55 m month À1 respectively 9-10 months after planting, and decreased steadily thereafter. Fast root front displacement might provide a competitive advantage to fast-growing species in forests established on deep soils. Our study may contribute to the debate on the environmental impact of short-rotation plantation forests in the Tropics.

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Section: Introductionmentioning

confidence: 99%

Almost symmetrical vertical growth rates above and below ground in one of the world's most productive forests

et al. 2011

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“…Consequently, changes of WPMF modify the plant carbon stocks (mainly stem and coarse root carbon stocks) without sub stantially altering all other pools, which are constrained by higher turn-over rates . Due to the same logic, WPMF changes do not significantly alter all main BIOME-BGC photosynthesis and respiration estimates (Tatarinov & Cienciala 2006).…”

Section: Forestmentioning

confidence: 78%

“…This ap proach is based on the modification of a ma jor parameter setting which controls carbon accumulation in the vegetation compartment, WPMF (Tatarinov & Cienciala 2006). The modification is performed by taking as refe rence values the maximum standing volumes derived from various forest inventories.…”

Section: Simulation Of Mean Canopy Covers and Caismentioning

confidence: 99%

Use of BIOME-BGG to simulate Mediterranean forest carbon stocks

Chiesi¹,

Chirici²,

Barbati³

et al. 2011

iForest

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BIOME-BGC is a bio-geochemical model capable of estimating the water, carbon and nitrogen fluxes and storages of terrestrial ecosystems. Previous research demonstrated that, after proper calibration of its ecophysiological parameters, the model can reproduce the main processes of Mediterranean forest types. The same investigations, however, indicated a model tendency to overestimate woody biomass accumulation. The current paper aims at modifying BIOME-BGC ecophysiological settings to improve the simulation of the woody compartment in Mediterranean forests. The modified ecophysiological parameter is the whole-plant mortality fraction (WPMF), which directly affects the amount of woody biomass stored. The optimal WPMFs of six main forest types in Tuscany are identified by forcing the model to reproduce the maximum standing volumes found in regional and local forest inventories. The effects of this operation are evaluated by comparing the model outputs produced using the original and modified settings to independent measurements from national forest inventories. The results obtained demonstrate the effectiveness of the modifications introduced and consolidate the methodological basis for extending the use of the modeling strategy to other Mediterranean areas

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“…Sensitivity analysis has acquired a strong position as a method for evaluating models (IAEA 1989, Prisley and Mortimer 2004, Medlyn et al 2005, Nalder and Wein 2006, Tatarinov and Cienciala 2006 as it addresses issues such as model robustness, the stability of model parameters, and the variability of model outputs. Sensitivity analysis is also an important part of model uncertainty analysis as it identifies the components of a model that are potentially important contributors to the overall uncertainty of the model.…”

Section: Sensitivity Analysismentioning

confidence: 99%

Soil carbon modelling as a tool for carbon balance studies in forestry

Palosuo¹

2008

Diss. For.

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Soils represent a remarkable stock of carbon, and forest soils are estimated to hold half of the global stock of soil carbon. Topical concern about the effects of climate change and forest management on soil carbon as well as practical reporting requirements set by climate conventions have created a need to assess soil carbon stock changes reliably and transparently. The large spatial variability of soil carbon commensurate with relatively slow changes in stocks hinders the assessment of soil carbon stocks and their changes by direct measurements. Due to these difficulties in measuring soil carbon, models widely serve to estimate carbon stocks and stock changes in soils.This dissertation aimed to develop the soil carbon model YASSO for upland forest soils. The model was aimed to take into account the most important processes controlling the decomposition in soils, yet remain simple enough to ensure its practical applicability in different applications. The model structure and assumptions were presented and the model parameters were defined with empirical measurements. The model was evaluated by studying the sensitivities of the model results to parameter values, by estimating the precision of the results with an uncertainty analysis, and by assessing the accuracy of the model by comparing the predictions against measured data and by comparing the model results to the results of an alternative model.The model was applied at the stand level to study the effects of intensified biomass extraction on the forest carbon balance. In another application, the effects of energy use of forest residues on soil carbon were quantified with the model. The model calculated soil carbon deficit was presented as an indirect CO 2 emission. This emission was then compared to other emissions from the forest residue production chain and burning. Finally, the model was applied in an inventory based method to assess the national scale forest carbon balance for Finland's forests from 1922 to 2004.According to the results of the uncertainty and sensitivity analyses, the soil carbon stock estimates of the model are uncertain, because those parameters that most strongly affect these estimates are poorly known. Carbon stock change estimates, on the other hand, are rather reliable, because the parameters determining these estimates are known better. According to a test conducted with a Canadian litterbag experiment, YASSO managed to describe sufficiently the effects of both the variable litter and climatic conditions on decomposition. When combined with the stand models or other systems providing litter information, the dynamic approach of the model proved to be powerful for estimating changes in soil carbon stocks on different scales. The climate dependency of the model, the effects of nitrogen on decomposition and forest growth as well as the effects of soil texture on soil carbon stock dynamics are areas for development when considering the applicability of the model to different research questions, different land use types and wide...

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Application of BIOME-BGC model to managed forests

Cited by 88 publications

References 32 publications

Almost symmetrical vertical growth rates above and below ground in one of the world's most productive forests

Almost symmetrical vertical growth rates above and below ground in one of the world's most productive forests

Use of BIOME-BGG to simulate Mediterranean forest carbon stocks

Soil carbon modelling as a tool for carbon balance studies in forestry

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