Calibration and validation of models for short-term decomposition and N mineralization of plant residues in the tropics

Nascimento, Alexandre Ferreira do; Mendonça, Eduardo de Sá; Leite, Luiz Fernando Carvalho; Scholberg, J.M.S.; Neves, Júlio César Lima

doi:10.1590/s0103-90162012000600008

Cited by 10 publications

(5 citation statements)

References 21 publications

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“…type of soil, temperature, soil water content, rate of EOM application) to a minimum. This is in agreement with previous works suggesting that EOM quality is the most important factor affecting organic residue decomposition in soil (Cavalli et al, 2014;Do Nascimento et al, 2012;Karhu et al, 2012;). A low variability associated to mean parameters for EOM group is an indication that this common set of parameters could be utilized to simulate SOC patterns in soil amended with the different EOMs belonging to a specific group with an acceptable error.…”

Section: Model Optimizationsupporting

confidence: 93%

“…Nevertheless, several authors have demonstrated that model parameterization obtained in laboratory incubations can be utilized to provide reliable simulation of EOM mineralization under field conditions (Gabrielle et al, 2005;Kaborè et al, 2011;Noirot-Cosson et al, 2016;Vidal-Beaudet et al, 2012). This could be explained on the basis that EOMs composition and properties are the main factors regulating their mineralization in the soil (Cavalli et al, 2014;Do Nascimento et al, 2012;Karhu et al, 2012).…”

Section: Suitability Of Short Term Incubations To Asses Eom Pool Paramentioning

confidence: 99%

“…As the composition and properties of amendments is the most important factor controlling their decomposition (Cavalli et al, 2014;Do Nascimento et al, 2012;Karhu et al, 2012), several authors have highlighted the importance of a proper characterization of EOM to decrease the uncertainty in model predictions of SOC trends in amended soils. Regarding the relevance of organic matter (OM) quality in SOC modelling, most models are based on the concept that decomposition can be adequately simulated by assuming different conceptual or functional pools of OM that decay according to first order kinetics with specific decomposition rate constants (Borgen et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

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Modification of the RothC model to simulate soil C mineralization of exogenous organic matter

Mondini¹,

Cayuela²,

Sinicco³

et al. 2017

Preprint

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Abstract. The development of soil organic C (SOC) models capable to produce accurate predictions of the long term decomposition of exogenous organic matter (EOM) in soils is important for an effective management of organic amendments. However, reliable C modelling in amended soils requires specific optimization of current C models to take into account the high variability of EOM origin and properties. The aim of this work was to improve the prediction of C mineralization rates in amended soils by modifying the RothC model to encompass a better description of EOM quality. The standard RothC model, involving C input to the soil only as decomposable (DPM) or resistant (RPM) organic material, was modified by introducing additional pools of decomposable (DEOM), resistant (REOM) and humified (HEOM) EOM. The partitioning factors and decomposition rates of the additional EOM pools were estimated by model fitting to respiratory curves of amended soils. For this task, 30 EOMs from 8 contrasting groups (compost, anaerobic digestates, sewage sludges, agro-industrial wastes, crop residues, bioenergy by-products, animal residues, meat and bone meals), were added to 10 soils and incubated under different conditions. The modified Roth C model was fitted to C mineralization curves in amended soils with great accuracy (mean correlation coefficient: 0.995). Differently to the standard model, the EOM-optimized RothC was able to better accommodate the large variability in EOM source and composition, as indicated by the decrease in the root mean squared error of the simulations for different EOMs (from 29.9&#8201;% to 3.7&#8201;% and from 20.0&#8201;% to 2.5&#8201;% for bioethanol residue and household waste compost amended soils, respectively). Average decomposition rates for DEOM and REOM pools were 89&#8201;y&#8722;1 and 0.4&#8201;y&#8722;1, higher than the standard model coefficients for DPM (10&#8201;y&#8722;1) and RPM (0.3&#8201;y&#8722;1). Results indicate that explicit treatment of EOM heterogeneity enhances the model ability to describe amendment decomposition under laboratory conditions and provides useful information to improve C modelling on the effects of different EOM on C dynamics in agricultural soils. Future researches involve the validation of the modified model with field data and its application to long term simulation of SOC patterns in amended soil at regional scale under climate change.

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Section: Model Optimizationsupporting

confidence: 93%

Section: Suitability Of Short Term Incubations To Asses Eom Pool Paramentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Modification of the RothC model to simulate soil C mineralization of exogenous organic matter

Mondini¹,

Cayuela²,

Sinicco³

et al. 2017

Preprint

View full text Add to dashboard Cite

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“…The assessment of R 2 is an inadequate goodness‐of‐fit measure for nonlinear models (Spiess & Neumeyer, 2010); RMSE and E f are better suited in this regard. The RMSE and E f were calculated as shown below (Nascimento et al., 2012; Roman et al., 2000):

normalR M S E = [\frac{1}{n} \sum_{i = 1}^{n} {(P_{i} - O_{i})}^{2}]

{normalE}_{f} = 1 - [\sum_{i = 1}^{n} {(P_{i} - O_{i})}^{2} / \sum_{i = 1}^{n} {(O_{i} - {\overset{O}{true}}_{i})}^{2}]

…”

Section: Methodsmentioning

confidence: 99%

Thirty‐six years of no‐tillage regime altered weed population dynamics in soybean

et al. 2021

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Changes to tillage practices can impact weed species composition and population dynamics in arable fields. The objective of this study was to evaluate and compare the impact of long-term (36 yr) no-tillage (NT) and conventional-tillage (CT) systems on weed species composition, density, seedling emergence, and diversity, in a continuous soybean [Glycine max (L.) Merr.] system in Southeast Texas. Results from 2016 and 2017 observations showed that weed species composition varied between CT and NT, and the total density was greater in NT ( 14and 86 plants m -2 for summer and winter annuals, respectively) compared to CT (3 and 45 plants m -2 , respectively). Moreover, tall waterhemp [Amaranthus tuberculatus (Moq.) Sauer], prostrate spurge [Chamaesyce humistrata (Engelm. ex Gray) Small], and red sprangletop [Dinebra panicea (Retz.) P.M. Peterson & N. Snow] emergence was delayed in NT compared to CT. Vertical distribution (70-cm depth) of viable weed seeds in the soil profile was also influenced by tillage regime; greater proportion of weed seeds were present on the soil surface (0-5 cm) in NT (57-80% among different species) compared to CT (38-56%). However, weed diversity indices did not differ between CT and NT. Results indicate that long-term NT, even with herbicide management, can lead to greater weed densities with a shift towards small-seeded annual species (common purslane [Portulaca oleraceae L.], parsley-piert [Aphanes arvensis L.], cutleaf groundcherry [Physalis angulate L.]). Growers transitioning to NT should be cognizant of potential changes to weed population dynamics as a result of altered tillage regime and devise strategies for effective management.

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“…The R 2 is an inadequate measure of model fit for non‐linear models (Spiess & Neumeyer, 2010). In this regard, RMSE and E f are considered as better measures (Nascimento, Mendonça, Leite, Scholberg, & Neves, 2012; Roman, Murphy, & Swanton, 2000).…”

Section: Methodsmentioning

confidence: 99%

Soil carbon improvement under long‐term (36 years) no‐till sorghum production in a sub‐tropical environment

Govindasamy

Liu

Provin

et al. 2020

Soil Use and Management

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Soil organic matter (SOM) is considered an important indicator of soil quality, which can be impacted by crop production practices such as tillage. In this study, two long‐term tillage regimes (conventional tillage [CT] and no tillage [NT], conducted for 36 years) were compared in continuous sorghum production in a sub‐tropical environment in southeast Texas. The positive effects of long‐term NT practice were more conspicuous at the soil surface compared with the deeper soil profiles. The SOC was greater (1.5 t C ha−1 greater) in the NT system compared with the CT system. Results from an incubation study indicate that the rate of C‐min at 0–5 cm soil depth was significantly greater (164 μg of CO2–C g−1 of soil greater) in NT than that of CT, but this trend was reversed at 10–20 cm depth wherein the C‐min rates were 106 μg of CO2–C g−1 of soil greater in CT compared with NT, which is likely because of soil disturbance during the study. Soil cumulative CO2‐C emissions were greater in the CT system (7.28 g m−2) than in the NT system (5.19 g m−2), which is primarily attributed to high soil temperature conditions in the CT system. Sorghum grain yield however was not influenced by the differences in SOC content in this long‐term experiment. Overall, the present study found that long‐term conservation tillage improved SOC stock and reduced carbon loss, thus had a positive impact on soil health and sustainability.

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Calibration and validation of models for short-term decomposition and N mineralization of plant residues in the tropics

Cited by 10 publications

References 21 publications

Modification of the RothC model to simulate soil C mineralization of exogenous organic matter

Modification of the RothC model to simulate soil C mineralization of exogenous organic matter

Thirty‐six years of no‐tillage regime altered weed population dynamics in soybean

Soil carbon improvement under long‐term (36 years) no‐till sorghum production in a sub‐tropical environment

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