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| Registros recuperados : 43 | |
| 6. |  | HENRIQUE, F. L.; MATSUURA, M. I. da S. F.; PIGHINELLI, A. L. M. T.; NOVAES, R. M. L.; BERNDT, A. Development of a Life Cycle Assessment calculation tool in a beef cattle production system in Brazil. In: REUNIÃO DA SOCIEDADE BRASILEIRA DE ZOOTECNIA, 57., 2022, Campinas. Tropical animal science and pratice to feed the planet: proceedings. Brasília, DF: SBZ; São Carlos, SP: Embrapa Pecuária Sudeste, 2022. p. 83.| Biblioteca(s): Embrapa Pecuária Sudeste. |
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| 7. | | BOTELHO, L.; CAMOLESE, A. C.; SILVA, D. C. G.; NOVAES, R. M. L.; YAMANAKA, N.; ABDELNOOR, R. V. Validação de marcadores SSR associados a resistência à ferrugem asiática em população segregante de soja. Journal of Basic & Applied Genetics, Bueno Aires, v. 23, Suppl. 2012. Edição dos resumos do 15 Latin American Congress of Genetics; 41 Argentine Congress of Genetics, 45 Congress of the Chilean Society of Genetics; 2 Regional SAG-Litoral Meeting, Rosario, Oct. 2012. p. 281.| Biblioteca(s): Embrapa Soja. |
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| 9. | | BATISTA, A. M.; NOVAES, R. M. L.; MACIEN, V. G.; PIGHINELLI, A. L. M. T.; RAMOS, N. P.; MATSUURA, M. I. da S. F. Land use change accounting for agriculture: effects of including N2O and CH4 emissions. In: CONFERENCE ON LIFE CYCLE MANAGEMENT, 11., 2023, Lille, France. Book of Abstracts... Lille: 2023. p. 343. LCM 2023.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 10. | | GAROFALO, D. F. T.; NOVAES, R. M. L.; PAZIANOTTO, R. A. A.; MACIEL, V. G.; BRANDÃO, M.; SHIMBO, J. Z.; MATSUURA, M. I. da S. F. Land-use change CO2 emissions associated with agricultural products at municipal level in Brazil. Journal of Cleaner Production, v. 364, article 132549, 2022.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 11. | | DONKE, A. C. G.; NOVAES, R. M. L.; PAZIANOTTO, R. A. A.; RUIZ, E. M.; REINHARD, J.; MATSUURA, M. I. da S. F. Integrating land use change estimates at state level in the ecoinvent database structure v3.3. In: CONGRESSO BRASILEIRO SOBRE GESTÃO DO CICLO DE VIDA, 6., 2018, Brasília, DF. Anais... Brasília, DF: Ibict, 2018. p. 199-205.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 12. | | DONKE, A. C. G.; NOVAES, R. M. L.; PAZIANOTTO, R. A. A.; MORENO-RUIZ, E.; REINHARD, J.; PICOLI, J. F.; MATSUURA, M. I. da S. F. Integrating regionalized Brazilian land use change datasets into the ecoinvent database: new data, premises and uncertainties have large effects in the results. The International Journal of Life Cycle Assessment, v. 25, n. 6, p. 1027-1042, 2020.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 13. | | PEREIRA, S. E. M.; SKORUPA, L. A.; MANZATTO, C. V.; PENTEADO, M. I. de O.; OLIVEIRA, P. de; NOVAES, R. M. L.; SIMÕES, M. Áreas prioritárias para ações de transferência de tecnologia em sistemas ILPF no Brasil. In: SKORUPA, L. A.; MANZATTO, C. V. (Ed.). Sistemas de integração lavoura-pecuária-floresta no Brasil: estratégias regionais de transferência de tecnologia, avaliação da adoção e de impactos. Brasília: DF, Embrapa, 2019. p. 380-399.| Biblioteca(s): Embrapa Meio Ambiente; Embrapa Solos. |
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| 14. | | PEREIRA, S. E. M.; MANZATTO, C. V.; SKORUPA, L. A.; PENTEADO, M. I. de O.; OLIVEIRA, P. de; NOVAES, R. M. L.; SIMÕES, M. Análise multicritério para planejamento em sistemas de integração lavoura, pecuária e floresta. Jaguariúna: Embrapa Meio Ambiente, 2018. 44 p. (Embrapa Meio Ambiente. Documentos, 114).| Biblioteca(s): Embrapa Meio Ambiente; Embrapa Solos. |
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| 15. | | CAMOLESE, A. C.; SILVA, D. C. G. D.; NOVAES, R. M. L.; GUIMARÃES, F. C. M.; ABDELNOOR, R. V.; ARIAS, C. A. A. Marcadores SNP associados à resistência à ferrugem asiática da soja com potencial para uso na seleção assistida. In: CONGRESSO BRASILEIRO DE FITOPATOLOGIA, 46.; REUNIÃO BRASILEIRA DE CONTROLE BIOLÓGICO, 11., 2013, Ouro Preto. [Anais...]. [Brasília]: Sociedade Brasileira de Fitopatologia, 2013. 1 CD-ROM.| Biblioteca(s): Embrapa Soja. |
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| 16. | | MAIA, M. S.; BRUMER, B. B.; NOVAES, R. M. L.; SILVA, D. C. G.; KUWAHARA, M. K.; DALCIN, M. B.; MARCELINO-GUIMARÃES, F. C.; ABDELNOOR, R. V. Método de extração de DNA de folhas de soja adaptado para larga escala. In: JORNADA ACADÊMICA DA EMBRAPA SOJA, 8., 2013, Londrina. Resumos expandidos... Londrina: Embrapa Soja, 2013. p. 146-151. (Embrapa Soja. Documentos, 339).| Biblioteca(s): Embrapa Soja. |
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| 17. | | MACIEL, V. G.; NOVAES, R. M. L.; BRANDÃO, M.; CAVALETT, O.; PAZIANOTTO, R. A. A.; GAROFALO, D. F. T.; MATSUURA, M. I. da S. F. Towards a non-ambiguous view of the amortization period for quantifying direct land-use change in LCA. The International Journal of Life Cycle Assessment, v. 27, n. 12, p. 1299-1315, 2022.| Biblioteca(s): Embrapa Meio Ambiente. |
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| 19. | | NOVAES, R. M. L.; PAZIANOTTO, R. A. A.; BRANDÃO, M.; ALVES, B. J. R.; MAY, A.; MATSUURA, M. I. da S. F. Estimating 20-year land-use change and derived CO2 emissions associated to crops, pasture and forestry in Brazil and each of its 27 states. Global Change Biology, v. 23, n. 9, p. 3716-3728, 2017.| Biblioteca(s): Embrapa Agrobiologia; Embrapa Meio Ambiente; Embrapa Milho e Sorgo. |
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| 20. | | PEREIRA, S. E. M.; MANZATTO, C. V.; SKORUPA, L. A.; PENTEADO, M. I. de O.; SIMÕES, M.; NOVAES, R. M. L.; OLIVEIRA, P. de. Prioritization of areas for Crop-Livestock-Forest Integration technology transfer. In: LATIN AMERICA AND CARIBBEAN ECOSYSTEM SERVICES PARTNERSHIP CONFERENCE, 2., 2018, Campinas. Book of abstracts... Campinas: Ecosystem Services Partnership (ESP), 2018.| Biblioteca(s): Embrapa Meio Ambiente. |
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| Registros recuperados : 43 | |
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Registro Completo
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Biblioteca(s): |
Embrapa Meio Ambiente. |
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Data corrente: |
06/09/2023 |
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Data da última atualização: |
20/03/2024 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
BATISTA, A. M.; NOVAES, R. M. L.; MACIEN, V. G.; PIGHINELLI, A. L. M. T.; RAMOS, N. P.; MATSUURA, M. I. da S. F. |
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Afiliação: |
ALINE MARTINELI BATISTA; RENAN MILAGRES LAGE NOVAES, CNPMA; VINÍCIUS GONÇALVES MACIEL; ANNA LETICIA M T PIGHINELLI, CNPMA; NILZA PATRICIA RAMOS, CNPMA; MARILIA IEDA DA S F MATSUURA, CNPMA. |
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Título: |
Land use change accounting for agriculture: effects of including N2O and CH4 emissions. |
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Ano de publicação: |
2023 |
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Fonte/Imprenta: |
In: CONFERENCE ON LIFE CYCLE MANAGEMENT, 11., 2023, Lille, France. Book of Abstracts... Lille: 2023. |
|
Páginas: |
p. 343. LCM 2023. |
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Idioma: |
Português |
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Conteúdo: |
The GHG Protocol Land Sector and Removals Guidance is expected to be the main reference for land use change (LUC) accounting for companies seeking net-zero targets. This protocol requires an account for carbon dioxide (CO2) and also for methane (CH4) and nitrous oxide (N2O) emissions associated with LUC, which consider natural vegetation burning and, in the case of N2O, soil carbon mineralization. The Brazilian Land Use Change (BRLUC) method was developed to estimate direct LUC associated with Brazilian agricultural products and the resulting CO2 emissions (until now without N2O and CH4), being compatible with the main international life cycle assessment (LCA) and Carbon Footprint protocols. The aim of this work was to evaluate the effects of including both N2O and CH4 on total LUC GHG emissions to support the decision to include them in BRLUC. The IPCC and GHG Protocol guidelines were followed to estimate them, considering the 64 Brazilian agricultural crops. Among the parameters considered, the natural vegetation burning area is a difficult parameter to obtain due to the limitation of data on the burned area. Thus, a sensitivity analysis was conducted to minimize these missing data. In most land conversion types, N2O and CH4 emissions contribute together to an increase of less than 3% in total LUC GHG emissions. For example, on the national average, accounting for N2O and CH4 after the expansion of 1 ha of soybean, sugarcane and pasture over moderately degraded pasture or natural vegetation resulted in 1.2% to 2.0% increases in CO2 equivalent (CO2eq) emissions. The higher emissions occurred when these agricultural land uses expanded over improved pastures or natural grasslands (3.4% to 7.8% increases), still below 10%. But when considering the past 20-year Brazilian land conversion patterns, these land conversion types are rare, and N2O and CH4 impacts are even lower, increasing CO2eq emissions from soybean, sugarcane and pasture in 0.9%, 0.9% and 0.4%, respectively. The sensitivity analysis of the natural vegetation burning area showed that the variation in it resulted in a low impact on non-GHG emissions. For example, for natural vegetation, reducing the area burned from 88% to 44% (50% reduction) changed the impact of non-CO2 emissions on total GHG emissions from 2.0% to 1.1%. The overall results showed that N2O and CH4 had low impacts in LUC GHG emission accounting, lower than the minimum emissions accounting threshold, also referred to as the materiality threshold, of 5%. They also showed that varying parameters difficult to obtain, such as the burned area, also have low impacts. As gathering information and calculating LUC non-CO2 are not trivial tasks, we suggest that norms and protocols simplify the requirements to account for them and reduce the associated costs and time. MenosThe GHG Protocol Land Sector and Removals Guidance is expected to be the main reference for land use change (LUC) accounting for companies seeking net-zero targets. This protocol requires an account for carbon dioxide (CO2) and also for methane (CH4) and nitrous oxide (N2O) emissions associated with LUC, which consider natural vegetation burning and, in the case of N2O, soil carbon mineralization. The Brazilian Land Use Change (BRLUC) method was developed to estimate direct LUC associated with Brazilian agricultural products and the resulting CO2 emissions (until now without N2O and CH4), being compatible with the main international life cycle assessment (LCA) and Carbon Footprint protocols. The aim of this work was to evaluate the effects of including both N2O and CH4 on total LUC GHG emissions to support the decision to include them in BRLUC. The IPCC and GHG Protocol guidelines were followed to estimate them, considering the 64 Brazilian agricultural crops. Among the parameters considered, the natural vegetation burning area is a difficult parameter to obtain due to the limitation of data on the burned area. Thus, a sensitivity analysis was conducted to minimize these missing data. In most land conversion types, N2O and CH4 emissions contribute together to an increase of less than 3% in total LUC GHG emissions. For example, on the national average, accounting for N2O and CH4 after the expansion of 1 ha of soybean, sugarcane and pasture over moderately degraded pasture or ... Mostrar Tudo |
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Palavras-Chave: |
CH4 emission; GHG protocol; N2O emission; Non-CO2 gases. |
|
Thesaurus NAL: |
Burning; Emissions. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1156461/1/RA-NovaesRML-et-al-LCM-2023-Lille.pdf
|
|
Marc: |
LEADER 03627nam a2200253 a 4500
001 2156461
005 2024-03-20
008 2023 bl uuuu u00u1 u #d
100 1 $aBATISTA, A. M.
245 $aLand use change accounting for agriculture$beffects of including N2O and CH4 emissions.$h[electronic resource]
260 $aIn: CONFERENCE ON LIFE CYCLE MANAGEMENT, 11., 2023, Lille, France. Book of Abstracts... Lille: 2023.$c2023
300 $ap. 343. LCM 2023.
520 $aThe GHG Protocol Land Sector and Removals Guidance is expected to be the main reference for land use change (LUC) accounting for companies seeking net-zero targets. This protocol requires an account for carbon dioxide (CO2) and also for methane (CH4) and nitrous oxide (N2O) emissions associated with LUC, which consider natural vegetation burning and, in the case of N2O, soil carbon mineralization. The Brazilian Land Use Change (BRLUC) method was developed to estimate direct LUC associated with Brazilian agricultural products and the resulting CO2 emissions (until now without N2O and CH4), being compatible with the main international life cycle assessment (LCA) and Carbon Footprint protocols. The aim of this work was to evaluate the effects of including both N2O and CH4 on total LUC GHG emissions to support the decision to include them in BRLUC. The IPCC and GHG Protocol guidelines were followed to estimate them, considering the 64 Brazilian agricultural crops. Among the parameters considered, the natural vegetation burning area is a difficult parameter to obtain due to the limitation of data on the burned area. Thus, a sensitivity analysis was conducted to minimize these missing data. In most land conversion types, N2O and CH4 emissions contribute together to an increase of less than 3% in total LUC GHG emissions. For example, on the national average, accounting for N2O and CH4 after the expansion of 1 ha of soybean, sugarcane and pasture over moderately degraded pasture or natural vegetation resulted in 1.2% to 2.0% increases in CO2 equivalent (CO2eq) emissions. The higher emissions occurred when these agricultural land uses expanded over improved pastures or natural grasslands (3.4% to 7.8% increases), still below 10%. But when considering the past 20-year Brazilian land conversion patterns, these land conversion types are rare, and N2O and CH4 impacts are even lower, increasing CO2eq emissions from soybean, sugarcane and pasture in 0.9%, 0.9% and 0.4%, respectively. The sensitivity analysis of the natural vegetation burning area showed that the variation in it resulted in a low impact on non-GHG emissions. For example, for natural vegetation, reducing the area burned from 88% to 44% (50% reduction) changed the impact of non-CO2 emissions on total GHG emissions from 2.0% to 1.1%. The overall results showed that N2O and CH4 had low impacts in LUC GHG emission accounting, lower than the minimum emissions accounting threshold, also referred to as the materiality threshold, of 5%. They also showed that varying parameters difficult to obtain, such as the burned area, also have low impacts. As gathering information and calculating LUC non-CO2 are not trivial tasks, we suggest that norms and protocols simplify the requirements to account for them and reduce the associated costs and time.
650 $aBurning
650 $aEmissions
653 $aCH4 emission
653 $aGHG protocol
653 $aN2O emission
653 $aNon-CO2 gases
700 1 $aNOVAES, R. M. L.
700 1 $aMACIEN, V. G.
700 1 $aPIGHINELLI, A. L. M. T.
700 1 $aRAMOS, N. P.
700 1 $aMATSUURA, M. I. da S. F.
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