The Yasso07 soil carbon model – Testing against repeated soil carbon inventory

Rantakari, Miitta; Lehtonen, Aleksi; Linkosalo, Tapio; Tuomi, Mikko; Tamminen, Pekka; Heikkinen, Juha; Liski, Jari; Mäkipää, Raisa; Ilvesniemi, Hannu; Sievänen, Risto

doi:10.1016/j.foreco.2012.08.041

Cited by 64 publications

(68 citation statements)

References 48 publications

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“…It is more relevant to compare model calculations and measurements of change in total carbon content in the soil, rather than litterbags. In this regard, RANTAKARI et al (2012) compared Yasso07 calculations with the measured 20-year changes in the amount of soil C and found that the model calculations fall within the uncertainty of the measured values.…”

Section: Discussion Razpravamentioning

confidence: 97%

“…Due to the great financial and organizational requirements of regular monitoring, which might be used to determine the changes in soil organic matter or carbon in suitable time intervals, modelling of a change (also using the Yasso07 model) is a promising alternative which some European countries have already started to use (Switzerland, Finland, Norway) (RANTAKARI et al, 2012). For determining the changes of organic C in the soil on the level of larger area units (forest landscape, region), only simple models can be used, as they do not require a great number of input data, and environmental factors can be determined based on easily measurable parameters (average temperature, amount of precipitation, average soil depth, stock information about the tree biomass).…”

Section: Discussion Razpravamentioning

confidence: 99%

“…The average values of these parameters are known, as well as 95% confidence intervals RANTAKARI et al, 2012). These parameters relate to:…”

Section: Yasso07 Model Yasso07 Modelmentioning

confidence: 99%

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Assessment of organic matter changes in the soil of the Brdo plot under different climate change scenarios through the Yasso07 model application

Kobal¹,

Eler²,

Simončič³

et al. 2014

Acta Silvae et Ligni

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The forest soil can act as an important sink for CO 2 and in that respect also appears in the national Kyoto reports, where a distinction is made between carbon accumulated in litter and organic soil horizons and carbon accumulated in mineral soil layers. There is a multitude of dynamic models of organic carbon (C org ) change in the soil particularly due to different environmental and anthropogenic factors. The purpose of this paper is the Yasso07 model application on the "Brdo" plot, which is part of the ICP Forest Level II plots of Slovenia. The Yasso07 model describes the decomposition of organic matter in the forest soil by dividing litter inputs into different components with varying decomposition rates. Here, the temporal change of soil C org in various scenarios of future climate change (increase in air temperature, change in precipitation) was predicted. The difference between the measured amount and the model-predicted amount of C org in the soil for the current climate on the Brdo plot is 6.4 t C ha -1 (88.6 t C ha -1 measured vs. 95.0 t C ha -1 predicted). Taking into consideration the climate change scenarios for Slovenia, C org stock is expected to decrease in the future according to Yasso07 projections in all scenarios of climate change. The estimate of 100-year decrease of C org is the largest for scenario, when large increase of both temperature and precipitation is expected (18.2%) and smallest when small temperature increase and precipitation decrease are predicted (9.3%). Assuming stable litter input, larger influence on C org decrease was predicted for the temperature change compared to precipitation change. However, many uncertainties are included in model estimates ranging from litter input estimates, climate change uncertainties, climate-litter production feedbacks, starting value estimates, etc. The determination of the uncertainty of model calculations is a requirement for conducting simulations and their interpretation. key words: litter decomposition, litter components, soil carbon, model uncertainty, Slovenia IzvlečekGozdna tla lahko delujejo kot pomemben ponor za CO 2 in v zvezi s tem se pojavljajo tudi v nacionalnih poročilih Kjota, kot skladišče organskega ogljika organskega ogljika (C org ) v organskem in mineralnem delu tal. Obstaja množica dinamičnih modelov sprememb C org v tleh predvsem zaradi različnih okoljskih in antropogenih dejavnikov. Namen tega prispevka je uporaba modela Yasso07 na ploskvi "Brdo", ki je del ICP Forest ploskev intenzivnega spremljanja stanja gozdov. Model Yasso07 opisuje razgradnjo organskih snovi v gozdnih tleh z deljenjem vnosov opada v tla z različnimi stopnjami hitrosti razgradnje. V prispevku prikazujemo časovno spremembo zalog C org v tleh glede na različne scenarije prihodnjih podnebnih sprememb (povečanje temperature zraka, spremembe v padavinah). Razlika med izmerjeno vrednostjo in vrednostjo modela, napovedano za C org v tleh pri trenutnih razmerah na ploskvi Brdo, je 6,4 t C ha -1 (88,6 t C ha -1 merjeno proti 95,0 t C ha -1 napoveda...

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Section: Discussion Razpravamentioning

confidence: 97%

Section: Discussion Razpravamentioning

confidence: 99%

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Assessment of organic matter changes in the soil of the Brdo plot under different climate change scenarios through the Yasso07 model application

Kobal¹,

Eler²,

Simončič³

et al. 2014

Acta Silvae et Ligni

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“…Data used in calibration originates from litter bags, deadwood measurements, and soil carbon stock measurements and their fractionation according to solubility. Given the initial stock and the time series of litter input and weather data, it provides estimates of carbon stocks and changes of litter, deadwood, and soil organic matter down to a depth of 1 m. In this work, we used the parameterization of Yasso07 based on Rantakari et al (2012) and the estimated litter input from living trees, understorey vegetation, natural mortality, and logging, as in the Finnish GHG inventory (Statistics Finland 2014).…”

Section: Methodsmentioning

confidence: 99%

“…Ortiz et al (2013) tested the performance of the Yasso07 model against Swedish soil carbon inventory data and found that model estimates did not differ significantly from the measured values, while noting that the uncertainties of both model estimates and measurements were substantial. Rantakari et al (2012) also tested Yasso07 against Biosoil soil data from southern Finland, where Yasso07 performed reasonably well and produced soil carbon stock change estimates of the same magnitude as those based on measurements from the organic layer.…”

Section: Introductionmentioning

confidence: 99%

Uncertainty of upland soil carbon sink estimate for Finland

Lehtonen

Heikkinen

2016

Can. J. For. Res.

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Changes in the soil carbon stock of Finnish upland soils were quantified using forest inventory data, forest statistics, biomass models, litter turnover rates, and the Yasso07 soil model. Uncertainty in the estimated stock changes was assessed by combining model and sampling errors associated with the various data sources into variance-covariance matrices that allowed computationally efficient error propagation in the context of Yasso07 simulations. In sensitivity analysis, we found that the uncertainty increased drastically as a result of adding random year-to-year variation to the litter input. Such variation is smoothed out when using periodic inventory data with constant biomass models and turnover rates. Model errors (biomass, litter, understorey vegetation) and the systematic error of total drain had a marginal effect on the uncertainty regarding soil carbon stock change. Most of the uncertainty appears to be related to uncaptured annual variation in litter amounts. This is due to fact that variation in the slopes of litter input trends dictates the uncertainty of soil carbon stock change. If we assume that there is annual variation only in foliage and fine root litter rates and that this variation is less than 10% from year to year, then we can claim that Finnish upland forest soils have accumulated carbon during the first Kyoto period (2008)(2009)(2010)(2011)(2012).

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Strong dependence of CO₂ emissions from anthropogenic land cover change on initial land cover and soil carbon parametrization

Goll

Brovkin

Liski

et al. 2015

Global Biogeochemical Cycles

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111

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The quantification of sources and sinks of carbon from land use and land cover changes (LULCC) is uncertain. We investigated how the parametrization of LULCC and of organic matter decomposition, as well as initial land cover, affects the historical and future carbon fluxes in an Earth System Model (ESM). Using the land component of the Max Planck Institute ESM, we found that the historical (1750-2010) LULCC flux varied up to 25% depending on the fraction of biomass which enters the atmosphere directly due to burning or is used in short-lived products. The uncertainty in the decadal LULCC fluxes of the recent past due to the parametrization of decomposition and direct emissions was 0.6 Pg C yr −1 , which is 3 times larger than the uncertainty previously attributed to model and method in general. Preindustrial natural land cover had a larger effect on decadal LULCC fluxes than the aforementioned parameter sensitivity (1.0 Pg C yr −1 ). Regional differences between reconstructed and dynamically computed land covers, in particular, at low latitudes, led to differences in historical LULCC emissions of 84-114 Pg C, globally. This effect is larger than the effects of forest regrowth, shifting cultivation, or climate feedbacks and comparable to the effect of differences among studies in the terminology of LULCC. In general, we find that the practice of calibrating the net land carbon balance to provide realistic boundary conditions for the climate component of an ESM hampers the applicability of the land component outside its primary field of application.

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The Yasso07 soil carbon model – Testing against repeated soil carbon inventory

Cited by 64 publications

References 48 publications

Assessment of organic matter changes in the soil of the Brdo plot under different climate change scenarios through the Yasso07 model application

Assessment of organic matter changes in the soil of the Brdo plot under different climate change scenarios through the Yasso07 model application

Uncertainty of upland soil carbon sink estimate for Finland

Strong dependence of CO₂ emissions from anthropogenic land cover change on initial land cover and soil carbon parametrization

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The Yasso07 soil carbon model – Testing against repeated soil carbon inventory

Cited by 64 publications

References 48 publications

Assessment of organic matter changes in the soil of the Brdo plot under different climate change scenarios through the Yasso07 model application

Assessment of organic matter changes in the soil of the Brdo plot under different climate change scenarios through the Yasso07 model application

Uncertainty of upland soil carbon sink estimate for Finland

Strong dependence of CO2 emissions from anthropogenic land cover change on initial land cover and soil carbon parametrization

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Product

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Strong dependence of CO₂ emissions from anthropogenic land cover change on initial land cover and soil carbon parametrization