Predicting soil organic carbon dynamics of integrated crop-livestock system in Brazil using the CQESTR model.
Autor(a) principal: | |
---|---|
Data de Publicação: | 2022 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
Texto Completo: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1143671 https://doi.org/10.3389/fenvs.2022.826786 |
Resumo: | 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. |
id |
EMBR_cf98d87ab2f72cf9beeb36038f224aff |
---|---|
oai_identifier_str |
oai:www.alice.cnptia.embrapa.br:doc/1143671 |
network_acronym_str |
EMBR |
network_name_str |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
repository_id_str |
2154 |
spelling |
Predicting soil organic carbon dynamics of integrated crop-livestock system in Brazil using the CQESTR model.Integrated crop-livestockSolo OrgânicoCarbonoCerradoLand degradationSoil organic carbonCerrado soilsCarbon sequestrationBiomass productionLand 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.JANAINA M. OLIVEIRA, pós-graduação UFG; HERO T. GOLLANY, USDA; ROBERT WAYNE POLUMSKY, USDA; BEATA EMOKE MADARI, CNPAF; LUIZ FERNANDO CARVALHO LEITE, CPAMN; PEDRO LUIZ OLIVEIRA DE A MACHADO, CNPAF; MARCIA THAIS DE MELO CARVALHO, CNPAF.OLIVEIRA, J. M.GOLLANY, H. T.POLUMSKY, R. W.MADARI, B. E.LEITE, L. F. C.MACHADO, P. L. O. A.CARVALHO, M. T. M.2022-06-02T17:19:25Z2022-06-02T17:19:25Z2022-06-022022info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleFrontiers in Environmental Science, v. 10, article 826786, Mar. 2022.2296-665Xhttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1143671https://doi.org/10.3389/fenvs.2022.826786enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2022-06-02T17:19:34Zoai:www.alice.cnptia.embrapa.br:doc/1143671Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542022-06-02T17:19:34falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542022-06-02T17:19:34Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Predicting soil organic carbon dynamics of integrated crop-livestock system in Brazil using the CQESTR model. |
title |
Predicting soil organic carbon dynamics of integrated crop-livestock system in Brazil using the CQESTR model. |
spellingShingle |
Predicting soil organic carbon dynamics of integrated crop-livestock system in Brazil using the CQESTR model. OLIVEIRA, J. M. Integrated crop-livestock Solo Orgânico Carbono Cerrado Land degradation Soil organic carbon Cerrado soils Carbon sequestration Biomass production |
title_short |
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_sort |
Predicting soil organic carbon dynamics of integrated crop-livestock system in Brazil using the CQESTR model. |
author |
OLIVEIRA, J. M. |
author_facet |
OLIVEIRA, J. M. GOLLANY, H. T. POLUMSKY, R. W. MADARI, B. E. LEITE, L. F. C. MACHADO, P. L. O. A. CARVALHO, M. T. M. |
author_role |
author |
author2 |
GOLLANY, H. T. POLUMSKY, R. W. MADARI, B. E. LEITE, L. F. C. MACHADO, P. L. O. A. CARVALHO, M. T. M. |
author2_role |
author author author author author author |
dc.contributor.none.fl_str_mv |
JANAINA M. OLIVEIRA, pós-graduação UFG; HERO T. GOLLANY, USDA; ROBERT WAYNE POLUMSKY, USDA; BEATA EMOKE MADARI, CNPAF; LUIZ FERNANDO CARVALHO LEITE, CPAMN; PEDRO LUIZ OLIVEIRA DE A MACHADO, CNPAF; MARCIA THAIS DE MELO CARVALHO, CNPAF. |
dc.contributor.author.fl_str_mv |
OLIVEIRA, J. M. GOLLANY, H. T. POLUMSKY, R. W. MADARI, B. E. LEITE, L. F. C. MACHADO, P. L. O. A. CARVALHO, M. T. M. |
dc.subject.por.fl_str_mv |
Integrated crop-livestock Solo Orgânico Carbono Cerrado Land degradation Soil organic carbon Cerrado soils Carbon sequestration Biomass production |
topic |
Integrated crop-livestock Solo Orgânico Carbono Cerrado Land degradation Soil organic carbon Cerrado soils Carbon sequestration Biomass production |
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. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-06-02T17:19:25Z 2022-06-02T17:19:25Z 2022-06-02 2022 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
Frontiers in Environmental Science, v. 10, article 826786, Mar. 2022. 2296-665X http://www.alice.cnptia.embrapa.br/alice/handle/doc/1143671 https://doi.org/10.3389/fenvs.2022.826786 |
identifier_str_mv |
Frontiers in Environmental Science, v. 10, article 826786, Mar. 2022. 2296-665X |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1143671 https://doi.org/10.3389/fenvs.2022.826786 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
instname_str |
Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
instacron_str |
EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
collection |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
repository.name.fl_str_mv |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
cg-riaa@embrapa.br |
_version_ |
1794503523875946496 |