The Century Model in the Dynamics of Organic Carbon Stock in Brazilian Agricultural Areas: Systematic Review
Keywords:
modeling, CENTURY model, climate change, soil organic carbonAbstract
The determination of soil organic carbon (SOC) stock is fundamentally important in agricultural studies involving climate change. However, a more robust assessment of SOC becomes somewhat costly and time-consuming, especially when considering a broader environment, such as Brazilian territory. To facilitate this process, the use of mathematical models has been widely disseminated, among them, the CENTURY biogeochemical model. However, it is important to understand the extent of the use of this model in Brazil by gathering a collection of studies that involve the use of CENTURY. Therefore, the objective was to conduct a systematic review of scientific research conducted in the national territory on the use of the CENTURY model. The study was designed through a systematic review using three scientific research platforms (ScienceDirect, SciELO, and Scopus), selecting based on selection criteria, so that only relevant works were used for the review, defining a total of 14 articles. From the analysis of the selected articles, CENTURY showed satisfactory results when employed in simulating soil carbon dynamics under different management scenarios in Brazilian territory, proving to be an excellent tool for future work in this area. The model was efficient and capable of accurately simulating variations in soil C stocks during the periods of use of the evaluated.Downloads
References
ALTHOFF, Tiago Diniz et al. Adaptation of the century model to simulate C and N dynamics of Caatinga dry forest before and after deforestation. ScienceDirect, 2018. Disponível em: < https://www.sciencedirect.com/science/article/abs/pii/S0167880917305133?via%3Dihub>. Acesso em: 04 de out. de 2023. DOI: https://doi.org/10.1016/j.agee.2017.11.016.
ALTHOFF, Tiago Diniz et al. Climate change impacts on the sustainability of the firewood harvest and vegetation and soil carbon stocks in a tropical dry forest in Santa Teresinha Municipality, Northeast Brazil. ScienceDirect, 2016. Disponível em: < https://www.sciencedirect.com/science/article/abs/pii/S0378112715005459?via%3Dihub>. Acesso em: 04 de out. de 2023. DOI: https://doi.org/10.1016/j.foreco.2015.10.001.
BRANDINI, Stefano. et al. Carbon capture and storage update. Energy & Environmental ResearchGate, 2014. Disponível em: https://www.researchgate.net/publication/265122182. Acesso em: 13 de out. de 2023.
CARVALHO, André L et al. Impact of rainfed and irrigated agriculture systems on soil carbon stock under different climate scenarios in the semi-arid region of Brazil. ResearchGate, 2022. Disponível em: https://www.researchgate.net/publication/360573870_Impact_of_rainfed_and_irrigated_agriculture_systems_on_soil_carbon_stock_under_different_climate_scenarios_in_the_semi-arid_region_of_Brazil. Acesso em: 15 de out. de 2023. DOI: https://doi.org/10.1007/s40333-022-0092-y.
ARAÚJO NETO, Renato Américo et al. Simulation of soil carbon changes due to conventional systems in the semi-arid region of Brazil: adaptation and validation of the century model. ResearchGate, 2021. Disponível em: https://www.researchgate.net/publication/353741386_Simulation_of_soil_carbon_changes_due_to_conventional_systems_in_the_semi-arid_region_of_Brazil_adaptation_and_validation_of_the_century_model. Acesso em: 20 de jun. de 2024. DOI: https://doi.org/10.1080/17583004.2021.1962978.
GONÇALVES, Daniel Ruiz Potma et al. Conservation agriculture based on diversified and high-performance production system leads to soil carbon sequestration in subtropical environments. ScienceDirect, 2019. Disponível em:https://www.sciencedirect.com/science/article/abs/pii/S0959652619302884?via%3Dihub. Acesso em: 08 de out. de 2023. DOI: https://doi.org/10.1016/j.jclepro.2019.01.263.
GONÇALVES, Daniel Ruiz Potma et al. Soil carbon inventory to quantify the impact of land use change to mitigate greenhouse gas emissions and ecosystem services. ScienceDirect, 2018. Disponível em: https://www.sciencedirect.com/science/article/abs/pii/S0269749118313460?via%3Dihub. Acesso em: 08 de out. de 2023. DOI: https://doi.org/10.1016/j.envpol.2018.07.068.
GONÇALVES, Daniel Ruiz Potma et al. Soil type and texture impacts on soil organic carbon storage in a sub-tropical agro-ecosystem. ScienceDirect, 2017. Disponível em: https://www.sciencedirect.com/science/article/abs/pii/S0016706116306395?via%3Dihub. Acesso em: 08 de out. de 2023. DOI: https://doi.org/10.1016/j.geoderma.2016.10.021.
IPCC. Climate Change 2013: The Physical Science Basis. Contribution of Working Group I to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change [S.l.]: Cambridge University Press, 2013. Disponível em: https://www.ipcc.ch/report/ar5/wg1/. Acesso em: 25 de jun. de 2024
ISKANDAR, Jamil Ibrahim. Normas da ABNT: comentadas para trabalhos científicos. STJ, 2012. Disponível em: https://bdjur.stj.jus.br/jspui/handle/2011/21196?mode=full. Acesso em: 05 de jan. de 2024
MELO DAMIAN, Júnior et al. Predicting soil C changes after pasture intensification and diversification in BrazilCatena. ScienceDirect, 2021. Disponível em: https://www.sciencedirect.com/science/article/abs/pii/S0341816221000977. Acesso em: 19 de out. de 2023. DOI: https://doi.org/10.1016/j.catena.2021.105238.
PARÉ, Guy et al. Sintetizando o conhecimento de sistemas de informação: Uma tipologia de revisões de literatura. Informação & gestão, v. 52, n. 2, pág. 183-199, 2015.
PRIMO, Anacláudia Alves et al. Slash and burn management and permanent or rotation agroforestry systems: A comparative study for C sequestration by century model simulation. ScienceDirect, 2023. Disponível em: < https://www.sciencedirect.com/science/article/abs/pii/S0301479723003821?via%3Dihub >. Acesso em: 06 de fev. de 2024. DOI: https://doi.org/10.1016/j.jenvman.2023.117594.
RIBEIRO, Juliana Martins et al. Agrosilvopastoral system as a potential model for increasing soil carbon stocks: a century model approach. Scielo, 2023. Disponível em: < https://www.scielo.br/j/rbcs/a/KxSGXjv4G33NxnZSbzgKrLq/abstract/?lang=en >. Acesso em: 06 de fev. de 2024. DOI: https://doi.org/10.36783/18069657rbcs20220136.
SANTOS, Claudinei Oliveira Dos et al. Monitoring of Carbon Stocks in Pastures in the Savannas of Brazil through Ecosystem Modeling on a Regional Scale. ResearchGate, 2022. Disponível em: < https://www.researchgate.net/publication/366622540_Monitoring_of_Carbon_Stocks_in_Pastures_in_the_Savannas_of_Brazil_through_Ecosystem_Modeling_on_a_Regional_Scale >. Acesso em: 07 de out. de 2023. DOI: https://doi.org/10.3390/land12010060.
SMITH, P.; Smith, J. U.; Powlson, D. S.; Arah, J. R. M.; Chertov, O. G.; Coleman, K.; Franko, W.; Frolking, S.; Gunnewiek, H. K.; Jenkinson, D. S.; Jensen, L. S.; Kelly, R. H.; Komarov, A. S.; Li, C.; Molina, J. A. E.; Mueller, T.. A comparison of the performance of nine soil organic matter models using datasets from seven long-term experiments. Geoderma, v. 81, p. 153-225, 1997. DOI: 10.1016/S0016-7061(97)00087-600087-6).
SOBOCKÁ, Jaroslava; BALKOVI?, Juraj; LAPIN, Milan. A CENTURY 5 model using for estimation of soil organic matter behaviour at predicted climate change. ResearchGate, 2007. Disponível em: < https://www.researchgate.net/publication/228682211_A_CENTURY_5_model_using_for_estimation_of_soil_organic_matter_behaviour_at_predicted_climate_change>. Acesso em: 19 de jan. de 2024. DOI: http://dx.doi.org/10.17221/2099-SWR
WEBER, Mirla Andrade; MIELNICZUK, João; TORNQUIST, Carlos Gustavo. Changes in Soil Organic Carbon and Nitrogen Stocks in Long-Term Experiments in Southern Brazil Simulated with Century 4.5. Scielo, 2016. Disponível em: < https://www.scielo.br/j/rbcs/a/7Np8xvhbmjPN69WbNYpPhbw/?lang=en>. Acesso em: 13 de out. de 2023. DOI: https://doi.org/10.1590/18069657rbcs20151115.
WINK, Charlote et al. Dinâmica do Carbono e Nitrogênio em Plantações de Eucalipto no Rio Grande do Sul. Scielo, 2015. Disponível em: < https://www.scielo.br/j/rbcs/a/R96n5dMWPkJbt8jD6pGkvrv/?lang=pt>. Acesso em: 13 de out de 2023. DOI: https://doi.org/10.1590/01000683rbcs20140182.
XIAO, Yu; WATSON, Maria. Guidance on Conducting a Systematic Literature. ResearchGate, 2019. Disponível em: https://www.researchgate.net/publication/319343044_Guidance_on_Conducting_a_Systematic_Literature_Review. Acesso em: 20 de jun. de 2024. DOI: https://doi.org/10.1177/0739456X17723971. .
ZEFERINO, Leiliane Bozzi et al. Simulation of changes in C and N stocks with land use and cover in Amazon Forest-Cerrado transition environment. ScienceDirect, 2021. Disponível em: https://www.sciencedirect.com/science/article/abs/pii/S0016706121004687?via%3Dihub. Acesso em: 19 de out. de 2023. DOI: https://doi.org/10.1016/j.geoderma.2021.115388.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Geama Journal - Environmental Sciences
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
The Cultural Policies in Review applies the Creative Commons Attribution-Non-Commercial 4.0 International License for the works it publishes. This license was developed to facilitate open access - that is, free, immediate access, and unrestricted reuse of original works of all kinds. Our authors retain the copyright but, under that license, agree to leave the items legally available for re-use, without permission or fees, for almost any purpose. Any person may copy, distribute or reuse such articles, provided that the author and the original source (Cultural Policies in Review) are duly cited.