6 research outputs found
CQESTR Simulation of Management Practice Effects on Long-Term Soil Organic Carbon
Management of soil organic matter (SOM) is important for soil productivity and responsible utilization of crop residues for additional uses. CQESTR, pronounced “sequester,” a contraction of “C sequestration” (meaning C storage), is a C balance model that relates organic residue additions, crop management, and soil tillage to SOM accretion or loss. Our objective was to simulate SOM changes in agricultural soils under a range of climate and management systems using the CQESTR model. Four long-term experiments (Champaign, IL, \u3e100 yr; Columbia, MO, \u3e100 yr; Lincoln, NE, 20 yr; Sidney, NE, 20 yr) in the United States under various crop rotations, tillage practices, organic amendments, and crop residue removal treatments were selected for their documented history of the long-term effects of management practice on SOM dynamics. CQESTR successfully simulated a substantial decline in SOM with 50 yr of crop residue removal under various rotations at Columbia and Champaign. The increase in SOM following addition of manure was simulated well; however, the model underestimated SOM for a fertilized treatment at Columbia. Predicted and observed values from the four sites were signifi cantly related (r2 = 0.94, n = 113, P \u3c 0.001), with slope not signifi cantly different from 1. Given the high correlation of simulated and observed SOM changes, CQESTR can be used as a reliable tool to predict SOM changes from management practices and offers the potential for estimating soil C storage required for C credits. It can also be an important tool to estimate the impacts of crop residue removal for bioenergy production on SOM level and soil production capacity
Predicting long-term organic carbon dynamics in organically-amended soils using the CQESTR model
Abstract
Purpose The CQESTR model is a process-based C model
recently developed to simulate soil organic matter (SOM)
dynamics and uses readily available or easily measurable input
parameters. The current version of CQESTR (v. 2.0) has been
validated successfully with a number of datasets from agricultural
sites in North America but still needs to be tested in other
geographic areas and soil types under diverse organic management
systems.
Materials and methods We evaluated the predictive performance
of CQESTR to simulate long-term (34 years) soil organic
C (SOC) changes in a SOM-depleted European soil
either unamended or amended with solid manure, liquid manure,
or crop residue.
Results and discussion Measured SOC levels declined over
the study period in the unamended soil, remained constant in
the soil amended with crop residues, and tended to increase in
the soils amended with manure, especially with solid manure.
Linear regression analysis of measured SOC contents and
CQESTR predictions resulted in a correlation coefficient of
0.626 (P<0.001) and a slope and an intercept not significantly
different from 1 and 0, respectively (95% confidence level).
The mean squared deviation and root mean square error were
relatively small. Simulated values fell within the 95% confidence
interval of the measured SOC, and predicted errors were
mainly associated with data scattering.
Conclusions The CQESTR model was shown to predict, with
a reasonable degree of accuracy, the organic C dynamics in the
soils examined. The CQESTR performance, however, could
be improved by adding an additional parameter to differentiate
between pre-decomposed organic amendments with varying
degrees of stability
CQESTR Simulation of Management Practice Effects on Long-Term Soil Organic Carbon
Management of soil organic matter (SOM) is important for soil productivity and responsible utilization of crop residues for additional uses. CQESTR, pronounced “sequester,” a contraction of “C sequestration” (meaning C storage), is a C balance model that relates organic residue additions, crop management, and soil tillage to SOM accretion or loss. Our objective was to simulate SOM changes in agricultural soils under a range of climate and management systems using the CQESTR model. Four long-term experiments (Champaign, IL, \u3e100 yr; Columbia, MO, \u3e100 yr; Lincoln, NE, 20 yr; Sidney, NE, 20 yr) in the United States under various crop rotations, tillage practices, organic amendments, and crop residue removal treatments were selected for their documented history of the long-term effects of management practice on SOM dynamics. CQESTR successfully simulated a substantial decline in SOM with 50 yr of crop residue removal under various rotations at Columbia and Champaign. The increase in SOM following addition of manure was simulated well; however, the model underestimated SOM for a fertilized treatment at Columbia. Predicted and observed values from the four sites were signifi cantly related (r2 = 0.94, n = 113, P \u3c 0.001), with slope not signifi cantly different from 1. Given the high correlation of simulated and observed SOM changes, CQESTR can be used as a reliable tool to predict SOM changes from management practices and offers the potential for estimating soil C storage required for C credits. It can also be an important tool to estimate the impacts of crop residue removal for bioenergy production on SOM level and soil production capacity