Simulating carbon dynamics along the Boreal Forest Transect Case Study (BFTCS) in central Canada: 1. Model testing

Peng, Changhui; Apps, Michael J.; Price, David T.; Nalder, Ian A.; Halliwell, David

doi:10.1029/98gb00351

Cited by 69 publications

(42 citation statements)

References 41 publications

(23 reference statements)

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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analysis (Liski et al 2005, Peltoniemi et al 2006, Monni et al 2007 Komarov and Chertov 2007) (Eckersten et al 2001) In unpublished reports -available from P. Smith Most sensitive factor method or Monte Carlo approach (Li et al 2004), applications (Kesik et al 2005 None have been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%

“…Some authors have suggested that different model structures might be needed for forest and agricultural soils (Li et al 2000, Chertov et al 2001) but many models have been applied to both types of soil, although some with modified parameterization (Peng et al 1998, Eckersten et al 1999, Kätterer et al 1999, Peng et al 2002, Smith et al 2006. Decomposition is mediated mainly by the activity of soil microbes, fungi and fauna, but their specific population dynamics and explicit contribution to decomposition is rarely described in soil models (McGill 1996).…”

Section: Decomposition Processmentioning

confidence: 99%

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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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Section: Comparability Of Simulations and Empirical Datamentioning

confidence: 99%

Section: Decomposition Processmentioning

confidence: 99%

Models in country scale carbon accounting of forest soils

Peltoniemi¹,

Thürig²,

Ogle³

et al. 2007

Silva Fenn.

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“…G'DAY, Comins and McMurtrie, 1993;Hybrid v.3.0, Friend et al, 1997;GenW, Kirschbaum, 1999;InTEC, Chen et al, 2000). The main part of CENTURY's soil decomposition sub-model was integrated into TRIPLEX because it provides reasonable estimates of both soil C and N mineralization rates (Peng et al, 1998).…”

Section: Tree Height Diameter 6olume and Mortalitymentioning

confidence: 99%

TRIPLEX: a generic hybrid model for predicting forest growth and carbon and nitrogen dynamics

Peng

Liu

Dang

et al. 2002

Ecological Modelling

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189

120

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“…However, since SOC is highly dynamic in space and time driven by complex combinations of climate, soil and management conditions, quantifying SOC dynamics at regional or national scale through field measurements is inherently infeasible. Models were developed to try extrapolating the understandings gained at site scale to regional scale Peng et al, 1998;Schimel et al, 2000;Sellers et al, 1997). This kind of models, such as DNDC, Roth-C, TEM, Century, CASA etc., have been widely applied for SOC inventory or sequestration in many regions (Smith et al, 1997).…”

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confidence: 99%

Modeling impacts of management alternatives on soil carbon storage of farmland in Northwest China

Zhang

Wang

et al. 2006

Biogeosciences

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Abstract. Long-term losses of soil organic carbon (SOC) have been observed in many agriculture lands in Northwest China, one of the regions with the longest cultivation history in the world. The decline of SOC contents not only impaired the soil fertility but also increased the amount of carbon dioxide (CO 2 ) emitted from terrestrial ecosystems into the atmosphere. However, quantifying the SOC losses at regional scale has long been remaining unsolved. A processbased model, Denitrification-Decomposition or DNDC, was adopted in the study to quantify impacts of farming management practices on SOC dynamics for a selected region, Shaanxi Province. The selected domain, with 3 million hectares of cropland across different climatic and farming management regimes, is representative for the major agricultural areas in Northwest China. The DNDC model was tested against long-term SOC dynamics observed at five agricultural sites in China. The agreement between the observed and modeled results indicate that DNDC was capable of capturing patterns and magnitudes of SOC changes across the climate zones, soil types, and management regimes in China. To quantify SOC dynamics for Shaanxi, we constructed a GIS database to hold all of the DNDC-required input information (e.g., weather, soil properties, crop acreage, and farming practices) for all the farmland in the studied domain. Sensitivity tests indicated the spatial heterogeneity of soil properties, especially initial SOC content, was the major source of uncertainty for the modeled SOC dynamics at regional scale. The Most Sensitive Factor (MSF) method was employed in the study to quantify the uncertainties produced from the upscaling process. The results from the regional simulations for Shaanxi indicated that (1) the overall 3 million hectares of farmland in the province was a source of atmospheric CO 2 with 0.5 Tg C yr −1 lost in 2000 under the current farming management conditions, (2) an increase in the rate of cropCorrespondence to: C. Li (changsheng.li@unh.edu) residue incorporation from 15% to 50% or 90% converted the farmland from the C source to a C sink with 0.7 or 2.1 Tg C yr −1 sequestered, respectively, and (3) applying farmyard manure at a rate of 500 kg C ha −1 also converted the cropland into a weak C sink with 0.2 Tg C sequestered in the farmland in Shaanxi. In the studied domain, crop residue and farmyard manure used to be the major sources of soil nutrients during the centuries-long cultivation history but were gradually abandoned since 1950s when synthetic fertilizers became available. The results from this modeling study suggest that recovery of the traditional farming practices (i.e., residue incorporation and manure amendment) be a feasible approach to substantially improve the soil C status in the farmland of Shaanxi. The values of C gain or loss from this study for Shaanxi could vary if the modeled domain shifts to other provinces in Northwest China although the general conclusion may remain.

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Simulating carbon dynamics along the Boreal Forest Transect Case Study (BFTCS) in central Canada: 1. Model testing

Cited by 69 publications

References 41 publications

Models in country scale carbon accounting of forest soils

Models in country scale carbon accounting of forest soils

TRIPLEX: a generic hybrid model for predicting forest growth and carbon and nitrogen dynamics

Modeling impacts of management alternatives on soil carbon storage of farmland in Northwest China

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