Predicting Soil Organic Carbon Dynamics of Integrated Crop-Livestock System in Brazil Using the CQESTR Model

Land degradation and reduction in productivity have resulted in losses of soil organic carbon (SOC) in agricultural areas in Brazil. Our objectives were to 1) evaluate the predictive performance of CQESTR model for a tropical savannah; and 2) examine the effect of integrated management systems, incl...

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Main Authors: Janaina M. Oliveira, Hero T. Gollany, Robert Wayne Polumsky, Beata E. Madari, Luiz F. C. Leite, Pedro L. O. A. Machado, Márcia T. M. Carvalho
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-03-01
Series:Frontiers in Environmental Science
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fenvs.2022.826786/full
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author Janaina M. Oliveira
Janaina M. Oliveira
Hero T. Gollany
Robert Wayne Polumsky
Beata E. Madari
Luiz F. C. Leite
Pedro L. O. A. Machado
Márcia T. M. Carvalho
author_facet Janaina M. Oliveira
Janaina M. Oliveira
Hero T. Gollany
Robert Wayne Polumsky
Beata E. Madari
Luiz F. C. Leite
Pedro L. O. A. Machado
Márcia T. M. Carvalho
author_sort Janaina M. Oliveira
collection DOAJ
description Land degradation and reduction in productivity have resulted in losses of soil organic carbon (SOC) in agricultural areas in Brazil. Our objectives were to 1) evaluate the predictive performance of CQESTR model for a tropical savannah; and 2) examine the effect of integrated management systems, including Integrated Crop-Livestock System (ICLS) scenarios on SOC stocks. Two long-term paddocks, under similar edaphic and climate conditions were used in this study. In Paddock 4 (P4) the rotation was corn (Zea mays L.) and 3.5/4.5 years pasture (Urochloa ruziziensis), while rotations in Paddock 5 (P5) included 2.5 years of soybean (Glycine max L.), dryland rice (Oryza sativa L.), and corn followed by 2.5/3.5 years pasture (U. brizantha). Measured and CQESTR simulated values were significantly (0.0001) correlated (r = 0.94) with a mean square deviation (MSD) of 7.55, indicating that the model captured spatial-temporal dynamics of SOC. Predicted SOC increased by 18.0 and 12.04 Mg ha−1 at the rate of 0.90 and 0.60 Mg ha−1 year−1 under current ICLS management for P4 and P5, respectively, by 2039. ICLS increased soil C sequestration compared to simple grain cropping systems under both NT and CT due to high biomass input into the production system.
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spelling doaj.art-f7d489a29a4c4b1ba5716b52e97635e52022-12-21T21:55:05ZengFrontiers Media S.A.Frontiers in Environmental Science2296-665X2022-03-011010.3389/fenvs.2022.826786826786Predicting Soil Organic Carbon Dynamics of Integrated Crop-Livestock System in Brazil Using the CQESTR ModelJanaina M. Oliveira0Janaina M. Oliveira1Hero T. Gollany2Robert Wayne Polumsky3Beata E. Madari4Luiz F. C. Leite5Pedro L. O. A. Machado6Márcia T. M. Carvalho7Post-graduate Program at Federal University of Goiás, Goiânia, BrazilBrazilian Agricultural Research Corporation (Embrapa Rice and Beans), Santo Antônio de Goiás, GO, BrazilUSDA-ARS-PWA-CPCRC, Pendleton, OR, United StatesUSDA-ARS-PWA-CPCRC, Pendleton, OR, United StatesBrazilian Agricultural Research Corporation (Embrapa Rice and Beans), Santo Antônio de Goiás, GO, BrazilBrazilian Agricultural Research Corporation (Embrapa Mid-North), Teresina, PI, BrazilBrazilian Agricultural Research Corporation (Embrapa Rice and Beans), Santo Antônio de Goiás, GO, BrazilBrazilian Agricultural Research Corporation (Embrapa Rice and Beans), Santo Antônio de Goiás, GO, BrazilLand degradation and reduction in productivity have resulted in losses of soil organic carbon (SOC) in agricultural areas in Brazil. Our objectives were to 1) evaluate the predictive performance of CQESTR model for a tropical savannah; and 2) examine the effect of integrated management systems, including Integrated Crop-Livestock System (ICLS) scenarios on SOC stocks. Two long-term paddocks, under similar edaphic and climate conditions were used in this study. In Paddock 4 (P4) the rotation was corn (Zea mays L.) and 3.5/4.5 years pasture (Urochloa ruziziensis), while rotations in Paddock 5 (P5) included 2.5 years of soybean (Glycine max L.), dryland rice (Oryza sativa L.), and corn followed by 2.5/3.5 years pasture (U. brizantha). Measured and CQESTR simulated values were significantly (0.0001) correlated (r = 0.94) with a mean square deviation (MSD) of 7.55, indicating that the model captured spatial-temporal dynamics of SOC. Predicted SOC increased by 18.0 and 12.04 Mg ha−1 at the rate of 0.90 and 0.60 Mg ha−1 year−1 under current ICLS management for P4 and P5, respectively, by 2039. ICLS increased soil C sequestration compared to simple grain cropping systems under both NT and CT due to high biomass input into the production system.https://www.frontiersin.org/articles/10.3389/fenvs.2022.826786/fullcorncerrado biomepasturesoil organic mattersoybeanneotropical savannah
spellingShingle Janaina M. Oliveira
Janaina M. Oliveira
Hero T. Gollany
Robert Wayne Polumsky
Beata E. Madari
Luiz F. C. Leite
Pedro L. O. A. Machado
Márcia T. M. Carvalho
Predicting Soil Organic Carbon Dynamics of Integrated Crop-Livestock System in Brazil Using the CQESTR Model
Frontiers in Environmental Science
corn
cerrado biome
pasture
soil organic matter
soybean
neotropical savannah
title Predicting Soil Organic Carbon Dynamics of Integrated Crop-Livestock System in Brazil Using the CQESTR Model
title_full Predicting Soil Organic Carbon Dynamics of Integrated Crop-Livestock System in Brazil Using the CQESTR Model
title_fullStr Predicting Soil Organic Carbon Dynamics of Integrated Crop-Livestock System in Brazil Using the CQESTR Model
title_full_unstemmed Predicting Soil Organic Carbon Dynamics of Integrated Crop-Livestock System in Brazil Using the CQESTR Model
title_short Predicting Soil Organic Carbon Dynamics of Integrated Crop-Livestock System in Brazil Using the CQESTR Model
title_sort predicting soil organic carbon dynamics of integrated crop livestock system in brazil using the cqestr model
topic corn
cerrado biome
pasture
soil organic matter
soybean
neotropical savannah
url https://www.frontiersin.org/articles/10.3389/fenvs.2022.826786/full
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