Wood decomposition model for boreal forests

Tuomi, Mikko; Laiho, Raija; Repo, Anna; Liski, Jari

doi:10.1016/j.ecolmodel.2010.10.025

Cited by 145 publications

(127 citation statements)

References 31 publications

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“…Therefore, the rates of decomposition could be faster in our study than what would occur in the latter scenario. Interestingly, our decay constants for the control plot are similar to other studies that utilized dead tissue (Tritton 1980;Mattson et al 1987), suggesting that the use of live tissue did not bias our decomposition results.…”

Section: Soil Warming Decomposition Experimentssupporting

confidence: 75%

“…Standard error is in parenthesis in both tables Acer saccharum 18 (2) 11 (1) 13 (1) 8 (1) Betula lenta 19 (2) 14 (1) 14 (1) 9 (1) Quercus rubra 26 (3) 16 (2) 16 (1) 11 (1) Tsuga canadensis 41 (6) 29 (5) 25 (4) 15 (1) Our research, in conjunction with others (Tritton 1980;Mattson et al 1987;Vávřová et al 2009), supports the prediction that debris size will influence decomposition under ambient conditions, with smaller debris decomposing faster than larger debris. Though our analysis fits the literature well, our decay constant and the estimated time of 95% mass loss was based on only 2 years of data.…”

Section: Soil Warming Decomposition Experimentssupporting

confidence: 49%

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Soil warming accelerates decomposition of fine woody debris

2012

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Background and aims Soil warming from global climate change could increase decomposition of fine woody debris (FWD), but debris size and quality may mitigate this effect. The goal of this study was to investigate the effect of soil warming on decomposition of fine woody debris of differing size and quality. Methods We placed FWD of two size classes (2×20 cm and 4×40 cm) and four species (Acer saccharum, Betula lenta, Quercus rubra and Tsuga canadensis) in a soil warming and ambient area at Harvard Forest in central Massachusetts. We collected the debris from each area over two years and measured mass loss and lignin concentration. Results Warming increased mass loss for all species and size classes (by as much as 30%), but larger debris and debris with higher initial lignin content decomposed slower than smaller debris and debris with lower initial lignin content. Lignin degradation did not follow the same trends as mass loss. Lignin loss from the most lignin-rich species, T. canadensis, was the highest despite the fact that it lost mass the slowest. Conclusions Our results suggest that soil warming will increase decomposition of FWD in temperate forests. It is imperative that future models and policy efforts account for this potential shift in the carbon storage pool.

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Section: Soil Warming Decomposition Experimentssupporting

confidence: 75%

Section: Soil Warming Decomposition Experimentssupporting

confidence: 49%

Soil warming accelerates decomposition of fine woody debris

2012

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“…Most probably, in the Finnish boreal forest, carbon sequestration in living biomass will increase due to the increase in tree growth (Pukkala and Kellomäki 2012), but the decomposition rate of dead organic matter may also increase (Shorohova et al 2008;Tuomi et al 2011). Adaptation strategies to increase timber extraction under climate change scenarios might include the reduction of the rotation length (Kellomäki et al 2008).…”

Section: Discussionmentioning

confidence: 99%

Managing a boreal forest landscape for providing timber, storing and sequestering carbon

et al. 2015

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Human well-being highly depends on ecosystem services and this dependence is expected to increase in the future with an increasing population and economic growth. Studies that investigate trade-offs between ecosystem services are urgently needed for informing policy-makers. We examine the trade-offs between a provisioning (revenues from timber selling) and regulating (carbon storage and sequestration) ecosystem services among seven alternative forest management regimes in a large boreal forest production landscape. First, we estimate the potential of the landscape to produce harvest revenues and store/sequester carbon across a 50-year time period. Then, we identify conflicts between harvest revenues and carbon storage and sequestration. Finally, we apply multiobjective optimization to find optimal combinations of forest management regimes that maximize harvest revenues and carbon storage/sequestration. Our results show that no management regime alone is able to either maximize harvest revenues or carbon services and that a combination of different regimes is always necessary. We also show that with a relatively little economic investment (5% decrease in harvest revenues), a substantial increase in carbon services could be attained (9% for carbon storage; 15-23% for carbon sequestration). We conclude that it is possible to achieve win-win situations applying diversified forest management planning at a landscape level.

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“…The model input data was composed of initial SOC density, annual carbon input of litter, chemical quality of litter, MAT, MAP, and temperature amplitude (the difference between the average temperatures of the warmest and coldest months). The structure and assumptions of the Yasso07 model have been described in detail in previous studies (Tuomi et al 2009(Tuomi et al , 2011aWu et al 2014 with the assumption that the SOC density was in a steady state with the carbon input from the vegetation cover (for the initialization, the number of time steps was 10,000 years). We also assumed that the annual carbon input was equal to annual NPP in the areas with consistent LULC types between 2000 and 2008.…”

Section: Yasso07 Soil Carbon Modelmentioning

confidence: 99%

“…In this study, we coupled the Yasso07 soil carbon model with remote sensing derived net primary productivity (NPP) and LULC classification to assess the dynamic changes of SOC density in the Yanhe watershed of the Loess Plateau. Yasso07 is a simple soil carbon model which requires only the most important input information and thus has a great potential to facilitate landscape or regional scale predictions of SOC changes (Tuomi et al 2008(Tuomi et al , 2009(Tuomi et al , 2011a. It is based on a large amount of measurements of SOC density and litter decomposition and used already in various applications including earth system modeling (Thum et al 2011) and UNFCCC greenhouse gas reporting under the Kyoto protocol in Australia, Finland, Norway, and Switzerland.…”

Section: Introductionmentioning

confidence: 99%

Changes in soil carbon stock predicted by a process-based soil carbon model (Yasso07) in the Yanhe watershed of the Loess Plateau

Lü

Akujärvi

et al. 2014

Landscape Ecol

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Contex Soil carbon sequestration is an ecosystem process that can provide important ecosystem services such as climate regulation and mitigation of global warming. Spatiotemporal variation in the soil organic carbon (SOC) stock is the basic information needed for landscape management and determination of regional carbon budgets. Objectives The objective of this study was to evaluate the effect of ecological restoration on SOC stocks and determine the influences of multiple factors in the Yanhe watershed of the Loess Plateau. Methods We coupled the Yasso07 soil carbon model with remote sensing indices as model input. The model performance was evaluated by uncertainty and sensitivity analyses as well as validation against field measurement. Results The modeling captured the spatial pattern of SOC variability across the landscape generally well. Net primary productivity (NPP) was the foremost factor that affecting the spatiotemporal variation of SOC density. Converting cropland to grassland was the most efficient restoration type in soil carbon sequestration in the study period. Land use change influenced the spatial correlation between NPP and SOC density by altering both litter quantity and quality. The changes in land use area tended to have higher contributions to the changes in SOC stock than did the changes in SOC density for different land use types. Conclusions The overall effect of ecological restoration on soil carbon sequestration was dependent on the main vegetation restoration type and the time of recovery. Human-derived land use changes could have more substantial effects on soil carbon budgets compared to natural factors in a short period of time.

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Wood decomposition model for boreal forests

Cited by 145 publications

References 31 publications

Soil warming accelerates decomposition of fine woody debris

Soil warming accelerates decomposition of fine woody debris

Managing a boreal forest landscape for providing timber, storing and sequestering carbon

Changes in soil carbon stock predicted by a process-based soil carbon model (Yasso07) in the Yanhe watershed of the Loess Plateau

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