Simulating soil organic matter with CQESTR (v. 2.0): Model description and validation against long-term experiments across North America

Yao, Liang; Gollany, Hero T.; Rickman, R. W.; Albrecht, Stephan; Follett, R. F.; Wilhelm, Wallace; Novak, J. M.; Douglas, C. L.

doi:10.1016/j.ecolmodel.2008.11.012

Cited by 33 publications

(58 citation statements)

References 40 publications

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“…The validation dataset should be different from the calibration dataset. The most common validation method that has been adopted in the modeling studies of SOM dynamics is based on the statistical analysis of the quantitative relationship between observed data and model output (Liang et al, 2009;Lopes et al, 2008;Monte et al, 1996;Tornquist et al, 2009a, b), assessing the accuracy of predictions by confidence limits and other index values (Smith et al, 1997).…”

Section: Introductionmentioning

confidence: 99%

Validation of the Century model to estimate the impact of agriculture on soil organic carbon in Southern Brazil

et al. 2011

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Section: Introductionmentioning

confidence: 99%

Validation of the Century model to estimate the impact of agriculture on soil organic carbon in Southern Brazil

et al. 2011

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“…Models such as GREET [2,3], DAYCENT [4], and CQESTR [5] are used to evaluate the potential environmental benefits or liabilities of bioenergy crops and are based on published data with soil sampling depths of 30 to 40 cm. Life cycle assessments (LCAs) completed to date [6][7][8][9][10][11][12] have used these or similar models and their assumptions which to date have given little consideration to the effects of production management practices on SOC.…”

Section: Introductionmentioning

confidence: 99%

Soil Carbon Sequestration by Switchgrass and No-Till Maize Grown for Bioenergy

et al. 2012

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Net benefits of bioenergy crops, including maize and perennial grasses such as switchgrass, are a function of several factors including the soil organic carbon (SOC) sequestered by these crops. Life cycle assessments (LCA) for bioenergy crops have been conducted using models in which SOC information is usually from the top 30 to 40 cm. Information on the effects of crop management practices on SOC has been limited so LCA models have largely not included any management practice effects. In the first 9 years of a long-term C sequestration study in eastern Nebraska, USA, switchgrass and maize with best management practices had average annual increases in SOC per hectare that exceed 2 Mg Cyear −1 (7.3 Mg CO 2 year −1 ) for the 0 to 150 soil depth. For both switchgrass and maize, over 50 % of the increase in SOC was below the 30 cm depth. SOC sequestration by switchgrass was twofold to fourfold greater than that used in models to date which also assumed no SOC sequestration by maize. The results indicate that N fertilizer rates and harvest management regimes can affect the magnitude of SOC sequestration. The use of uniform soil C effects for bioenergy crops from sampling depths of 30 to 40 cm across agro-ecoregions for large scale LCA is questionable.

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“…It is sensitive to local soils, climate, crops, cover crops, crop rotations, tillage systems, and organic amendments. The model requires number and thickness of soil layers, SOM content and bulk density of each layer, annual crop inputs, farming management practices, the average daily air temperature and precipitation Rickman et al (2002), Liang et al (2009), Gollany et al (2012 CENTURY CENTURY simulates C and nutrient (N, P, S) dynamics for the topsoil through an annual cycle, over time scales of centuries and millennia. Flows of nutrients are controlled by the amount of C in the various pools and climate and environmental condition for agricultural lands, grasslands, forests, and savannas Parton (1996), Parton et al (1996), Paustian et al (1998) DAYCENT DAYCENT is the daily version of the CENTURY, which simulates fluxes of C, nutrients, and trace gases among the atmosphere, soil, and plants.…”

Section: Biome-bgcmentioning

confidence: 99%

Biogeochemical Research Priorities for Sustainable Biofuel and Bioenergy Feedstock Production in the Americas

Gollany

Titus

Asbjornsen

et al. 2015

Environmental Management

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Rapid expansion in biomass production for biofuels and bioenergy in the Americas is increasing demand on the ecosystem resources required to sustain soil and site productivity. We review the current state of knowledge and highlight gaps in research on biogeochemical processes and ecosystem sustainability related to biomass production. Biomass production systems incrementally remove greater quantities of organic matter, which in turn affects soil organic matter and associated carbon and nutrient storage (and hence long-term soil productivity) and off-site impacts. While these consequences have been extensively studied for some crops and sites, the ongoing and impending impacts of biomass removal require management strategies for ensuring that soil properties and functions are sustained for all combinations of crops, soils, sites, climates, and management systems, and that impacts of biomass management (including off-site impacts) are environmentally acceptable. In a changing global environment, knowledge of cumulative impacts will also become increasingly important. Long-term experiments are essential for key crops, soils, and management systems because short-term results do not necessarily reflect long-term impacts, although improved modeling capability may help to predict these impacts. Identification and validation of soil sustainability indicators for both site prescriptions and spatial applications would better inform commercial and policy decisions. In an increasingly inter-related but constrained global context, researchers should engage across inter-disciplinary, inter-agency, and international lines to better ensure the long-term soil productivity across a range of scales, from site to landscape.

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Simulating soil organic matter with CQESTR (v. 2.0): Model description and validation against long-term experiments across North America

Cited by 33 publications

References 40 publications

Validation of the Century model to estimate the impact of agriculture on soil organic carbon in Southern Brazil

Validation of the Century model to estimate the impact of agriculture on soil organic carbon in Southern Brazil

Soil Carbon Sequestration by Switchgrass and No-Till Maize Grown for Bioenergy

Biogeochemical Research Priorities for Sustainable Biofuel and Bioenergy Feedstock Production in the Americas

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