Assessing productivity and carbon sequestration capacity of Eucalyptus globulus plantations using the process model Forest-DNDC: Calibration and validation

Miehle, P.; Livesley, Stephen J.; Feikema, Paul; Li, C.; Arndt, Stefan K.

doi:10.1016/j.ecolmodel.2005.07.021

Cited by 68 publications

(59 citation statements)

References 34 publications

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“…However, further comparisons are hampered by the scarce number of studies that quantified the carbon content in a laboratory. Most of the studies that aim to estimate the carbon stock in plantations (MIEHLE et al, 2006;RAZAKAMANARIVO et al, 2011;ZHANG et al, 2012) use a generic value of 50% to estimate the carbon content in biomass.…”

Section: Discussionmentioning

confidence: 99%

Aboveground and Belowground Biomass and Carbon Estimates for Clonal Eucalyptus Trees in Southeast Brazil

et al. 2015

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-Eucalyptus plantations represent a short term and cost efficient alternative for sequestrating carbon dioxide from the atmosphere. Despite the known potential of forest plantations of fast growing species to store carbon in the biomass, there are relatively few studies including precise estimates of the amount of carbon in these plantations. In this study it was determined the carbon content in the stems, branches, leaves and roots of a clonal Eucalyptus grandis plantation in the Southeast of Brazil. We developed allometric equations to estimate the total amount of carbon and total biomass, and produced an estimate of the carbon stock in the stand level. Altogether, 23 sample trees were selected for aboveground biomass assessment. The roots of 9 of the 23 sampled trees were partially excavated to assess the belowground biomass at a singletree level. Two models with DBH, H and DBH 2 H were tested. The average relative share of carbon content in the stem, branch, leaf and root compartments was 44.6%, 43.0%, 46.1% and 37.8%, respectively, which is smaller than the generic value commonly used (50%). The best-fit allometric equations to estimate the total amount of carbon and total biomass had DBH 2 H as independent variable. The root-to-shoot ratio was relatively stable (C.V. = 27.5%) probably because the sub-sample was composed of clones. Total stand carbon stock in the Eucalyptus plantation was estimated to be 73.38 MgC ha -1 , which is within the carbon stock range for Eucalyptus plantations.Keywords: Carbon stock; Allometric equation; Carbon content. BIOMASSA ACIMA E ABAIXO DO SOLO E ESTIMATIVAS DE CARBONO PARA UM PLANTIO CLONAL DE EUCALIPTO NO SUDESTE DO BRASIL

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Section: Discussionmentioning

confidence: 99%

Aboveground and Belowground Biomass and Carbon Estimates for Clonal Eucalyptus Trees in Southeast Brazil

et al. 2015

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“…Update for forested wetlands , Cui et al 2005 Tropical forests . Model evaluation (Kesik et al 2005, Miehle et al 2006) , Smith et al 1997, Peng et al 1998 Uncertainty or sensitivity analysis (Liski et al 2005, Peltoniemi et al 2006, Monni et al 2007 Komarov and Chertov 2007) (Eckersten et al 2001) In unpublished reports -available from P. Smith Most sensitive factor method or Monte Carlo approach (Li et al 2004), applications (Kesik et al 2005 None have been published…”

Section: Comparability Of Simulations and Empirical Datamentioning

confidence: 99%

Models in country scale carbon accounting of forest soils

Peltoniemi¹,

Thürig²,

Ogle³

et al. 2007

Silva Fenn.

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Countries need to assess changes in the carbon stocks of forest soils as a part of national greenhouse gas (GHG) inventories under the United Nations Framework Convention on Climate Change (UNFCCC) and the Kyoto Protocol (KP). Since measuring these changes is expensive, it is likely that many countries will use alternative methods to prepare these estimates. We reviewed seven well-known soil carbon models from the point of view of preparing country-scale soil C change estimates. We first introduced the models and explained how they incorporated the most important input variables. Second, we evaluated their applicability at regional scale considering commonly available data sources. Third, we compiled references to data that exist for evaluation of model performance in forest soils. A range of process-based soil carbon models differing in input data requirements exist, allowing some flexibility to forest soil C accounting. Simple models may be the only reasonable option to estimate soil C changes if available resources are limited. More complex models may be used as integral parts of sophisticated inventories assimilating several data sources. Currently, measurement data for model evaluation are common for agricultural soils, but less data have been collected in forest soils. Definitions of model and measured soil pools often differ, ancillary model inputs require scaling of data, and soil C measurements are uncertain. These issues complicate the preparation of model estimates and their evaluation with empirical data, at large scale. Assessment of uncertainties that accounts for the effect of model choice is important part of inventories estimating large-scale soil C changes. Joint development of models and large-scale soil measurement campaigns could reduce the inconsistencies between models and empirical data, and eventually also the uncertainties of model predictions.

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“…The correlations between the measured and modeled monthly mean NEE fluxes were expressed with the R-squared values as 0.91, 0.73, 0.73 and 0.57 for Tharandt, Griffin-Aberfeldy, upland Grainesville and wetland Grainesville, respectively. Except the above-described four cases tested in this study, more validation tests have been conducted for Forest-DNDC by a number of researchers worldwide (e.g., Miehle et al, 2006;Sun et al, 2006;Kesik et al, 2005;Kiese et al, 2004;Butterbach-Bahl et al, 2004;Zhang et al, 2002;Stange et al, 2000). The validation results suggested that Forest-DNDC was applicable for C balance studies across a wide range of forest ecosystems.…”

Section: Validations Of Forest-dndcmentioning

confidence: 99%

“…Driven by climate, forest type, soil properties, management practices and other relevant input parameters, the models can simulate forest production as well as C and N cycles in the ecosystems. Among the modeling efforts, the Forest-DNDC model developed by Li and his colleagues has been widely tested for greenhouse gas studies Kiese et al, 2004;Cui et al, 2005;Kesik et al, 2005;Miehle et al, 2006). In this study, we applied Forest-DNDC for understanding the NEE fluxes observed at two adjacent forest ecosystems located at the southern boundary of European taiga in Russia.…”

Section: Introductionmentioning

confidence: 99%

Modeling carbon dynamics in two adjacent spruce forests with different soil conditions in Russia

et al. 2008

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Abstract. Net ecosystem carbon exchange (NEE) was measured with eddy covariance method for two adjacent forests located at the southern boundary of European taiga in Russia in 1999Russia in -2004. The two spruce forests shared similar vegetation composition but differed in soil conditions. The wet spruce forest (WSF) possessed a thick peat layer (60 cm) with a high water table seasonally close to or above the soil surface. The dry spruce forest (DSF) had a relatively thin organic layer (5 cm) with a deep water table (>60 cm). The measured multi-year average NEE fluxes (2000 and -1440 kg C ha −1 yr −1 for WSF and DSF, respectively) indicated that WSF was a source while DSF a sink of atmospheric carbon dioxide (CO 2 ) during the experimental years. A process-based model, Forest-DNDC, was employed in the study to interpret the observations. The modeled multi-year average NEE fluxes were 1800 and -2200 kg C ha −1 yr −1 for WSF and DSF, respectively, which were comparable with observations. The modeled data also showed high soil heterotrophic respiration rates at WSF that suggested that the water table fluctuation at WSF could have played a key role in determining the negative carbon balance in the wetland ecosystem. A sensitivity test was conducted by running Forest-DNDC with varied water table scenarios for WSF. The results indicated that the NEE fluxes from WSF were highly sensitive to the water table depth. When the water table was high, the WSF ecosystem maintained as a sink of atmospheric CO 2 ; while along with the drop of the water table the length of the flooded period reduced and more organic matter in the soil profile suffered from rapid decomposition that gradually converted the ecosystem into a source of atmospheric CO 2 . The general effect of water table variation on wetland carbon balance observed from this modelCorrespondence to: C. Li (changsheng.li@unh.edu) ing study could be applicable for a wide range of wetland ecosystems that have accumulated soil organic carbon while face hydrological changes under certain climatic or land-use change scenarios.

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Assessing productivity and carbon sequestration capacity of Eucalyptus globulus plantations using the process model Forest-DNDC: Calibration and validation

Cited by 68 publications

References 34 publications

Aboveground and Belowground Biomass and Carbon Estimates for Clonal Eucalyptus Trees in Southeast Brazil

Aboveground and Belowground Biomass and Carbon Estimates for Clonal Eucalyptus Trees in Southeast Brazil

Models in country scale carbon accounting of forest soils

Modeling carbon dynamics in two adjacent spruce forests with different soil conditions in Russia

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