Effect of forest management on future carbon pools and fluxes: A model comparison

Schmid, Stéphanie; Thürig, Esther; Kaufmann, Edgar; Lischke, Heike; Bugmann, Harald

doi:10.1016/j.foreco.2006.09.028

Cited by 46 publications

(39 citation statements)

References 54 publications

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“…Liu et al, (2002) showed that the forests of Ontario, Canada could have been considered carbon sinks between 1920 and 1975, but became carbon sources after that because of large-scale natural and human disturbances including wildfires, pest infestations, and extensive harvesting. Schmid et al, (2006) noted that forests with minimal management serve as carbon sinks in the short term, but accumulated biomass will increase risks of fire and pest occurrences. Montero et al, (2005) and converting to equivalent carbon.…”

Section: Forest Management and Carbon Sequestration During The Last Cmentioning

confidence: 99%

Forest Carbon Sequestration: The Impact of Forest Management

Bravo

Rı́o

Bravo‐Oviedo

et al. 2017

Managing Forest Ecosystems: The Challenge of Climate Change

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Section: Forest Management and Carbon Sequestration During The Last Cmentioning

confidence: 99%

Forest Carbon Sequestration: The Impact of Forest Management

Bravo

Rı́o

Bravo‐Oviedo

et al. 2017

Managing Forest Ecosystems: The Challenge of Climate Change

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“…At local scales, complex, spatially explicit, individual-based simulation models (hereafter referred to as virtual forest models) have been developed that successfully reproduce observed dynamics. For example, forest gap models [JABOWA-FORET (7,8) and its derivatives (9,10)] have reproduced the species composition of old-growth, seminatural forests and are widely used to guide forest management (11)(12)(13). Also, the tree and stand simulator (TASS) model and its derivatives (14,15) can accurately predict the dynamics of size distributions and wood volume and, hence, carbon in even-aged plantation monocultures.…”

mentioning

confidence: 99%

Predicting and understanding forest dynamics using a simple tractable model

Purves

Lichstein²,

Strigul³

et al. 2008

Proc. Natl. Acad. Sci. U.S.A.

234

203

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The perfect-plasticity approximation (PPA) is an analytically tractable model of forest dynamics, defined in terms of parameters for individual trees, including allometry, growth, and mortality. We estimated these parameters for the eight most common species on each of four soil types in the US Lake states (Michigan, Wisconsin, and Minnesota) by using short-term (<15-year) inventory data from individual trees. We implemented 100-year PPA simulations given these parameters and compared these predictions to chronosequences of stand development. Predictions for the timing and magnitude of basal area dynamics and ecological succession on each soil were accurate, and predictions for the diameter distribution of 100-year-old stands were correct in form and slope. For a given species, the PPA provides analytical metrics for early-successional performance (H 20, height of a 20-year-old open-grown tree) and late-successional performance (Ẑ *, equilibrium canopy height in monoculture). These metrics predicted which species were early or late successional on each soil type. Decomposing Ẑ * showed that (i) succession is driven both by superior understory performance and superior canopy performance of late-successional species, and (ii) performance differences primarily reflect differences in mortality rather than growth. The predicted late-successional dominants matched chronosequences on xeromesic (Quercus rubra) and mesic (codominance by Acer rubrum and Acer saccharum) soil. On hydromesic and hydric soils, the literature reports that the current dominant species in old stands (Thuja occidentalis) is now failing to regenerate. Consistent with this, the PPA predicted that, on these soils, stands are now succeeding to dominance by other latesuccessional species (e.g., Fraxinus nigra, A. rubrum).climate change ͉ community ecology ͉ SORTIE ͉ TASS ͉ trade-offs

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“…These applications can be divided into three classes: those where the model serves to study the effects of different forest management activities on the forest carbon balance or follows the development of the carbon balance along the stand development (e.g. Study III, Kaipainen et al 2004, Thürig et al 2005, Schmid et al 2006, those that apply the model only to quantify the decomposition process (Study IV), and those where the model serves in regional-or national-scale carbon accounting (e.g. Study V, Peltoniemi et al 2006, Monni et al 2007).…”

Section: Model Applicationsmentioning

confidence: 99%

“…According to one test, YASSO managed sufficiently to describe the effects of both the variable litter and climatic conditions on decomposition (Study II). When combined with stand models or other systems providing litter information, the dynamic approach of the model has proved powerful for estimating changes in soil carbon stocks at the regional or national level (Study V, Peltoniemi et al 2004, Thürig et al 2005, de Wit et al 2006, Peltoniemi et al 2006, Schmid et al 2006. The model has been tested widely, which has provided us with knowledge of the properties and limitations of the model.…”

Section: A Simple and Functional Tool For Carbon Assessmentmentioning

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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Effect of forest management on future carbon pools and fluxes: A model comparison

Cited by 46 publications

References 54 publications

Forest Carbon Sequestration: The Impact of Forest Management

Forest Carbon Sequestration: The Impact of Forest Management

Predicting and understanding forest dynamics using a simple tractable model

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

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