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| Registros recuperados : 18 | |
| 2. |  | GARRETT, R. D.; GIL, J. D. B.; VALENTIM, J. F. Transferência de tecnologia: desafios e oportunidades para Adoção de ILPF na Amazônia brasileira legal. In: BUNGENSTAB, D. J.; ALMEIDA, R. G. de; LAURA, V. A.; BALBINO, L. C.; FERREIRA, A. D. (ed.). ILPF: inovação com integração de lavoura, pecuária e floresta. Brasília, DF: Embrapa, 2019. cap. 36, p. 599-615.| Biblioteca(s): Embrapa Acre. |
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| 4. | | GARRETT, R. D.; CAMMELLI, F.; FERREIRA, J. N.; LEVY, S. A.; VALENTIM, J. F.; VIEIRA, I. Forests and sustainable development in the Brazilian Amazon: history, trends, and future prospects. Annual Review of Environment and Resources, v. 46, p. 2.1-2.28, 2021.| Biblioteca(s): Embrapa Acre; Embrapa Amazônia Oriental. |
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| 5. | | GARRETT, R. D.; NILES, M.; GIL, J.; DY, P.; REIS, J. C. dos; VALENTIM, J. F. Policies for reintegrating crop and livestock systems: a comparative analysis. Sustainability, Switzerland, v. 9, n. 3, p. 473-494, Mar. 2017.| Biblioteca(s): Embrapa Acre; Embrapa Agrossilvipastoril. |
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| 6. | | CORTNER, O.; GARRETT, R. D.; VALENTIM, J. F.; FERREIRA, J. N.; NILES, M. T.; REIS, J. C. dos; GIL, J. Perceptions of integrated crop-livestock systems for sustainable intensification in the Brazilian Amazon. Land Use Policy, v. 82, p. 841-853, Mar. 2019.| Biblioteca(s): Embrapa Acre; Embrapa Agrossilvipastoril; Embrapa Amazônia Oriental. |
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| 11. | | GARRETT, R. D.; GARDNER, T. A.; MORELLO, T. F.; MARCHAND, S.; BARLOW, J.; BLAS, D. E. de; FERREIRA, J. N.; LEES, A. C.; PARRY, L. Explaining the persistence of low income and environmentally degrading land uses in the Brazilian Amazon. Ecology and Society, v. 22, n. 3, Art. 27, 2017.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| 12. | | GIL, J. D. B.; GARRETT, R. D.; ROTZ, A.; DAIOGLOU, V.; VALENTIM, J. F.; PIRES, G. F.; COSTA, M. H.; LOPES, L. B.; REIS, J. C. dos. Tradeoffs in the quest for climate smart agricultural intensification in Mato Grosso, Brazil. Environmental Research Letters, v. 13, n. 6, 064025, 2018.| Biblioteca(s): Embrapa Acre; Embrapa Agrossilvipastoril. |
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| 13. | | REIS, J. C. dos; KAMOI, M. Y. T.; LATORRACA, D.; CHEN, R. F. F.; MICHETTI, M.; WRUCK, F. J.; GARRETT, R. D.; VALENTIM, J. F.; RODRIGUES, R. de A. R.; RODRIGUES FILHO, S. Assessing the economic viability of integrated crop-livestock systems in Mato Grosso, Brazil. Renewable Agriculture and Food Systems, v. 35, n. 6, p. 631-642, 2020.| Biblioteca(s): Embrapa Acre; Embrapa Agrossilvipastoril; Embrapa Solos. |
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| 14. | | GARRETT, R. D.; RYSCHAWY, J.; BELL, L. W.; CORTNER, O.; FERREIRA, J. N.; GARIK, A. V. N.; GIL, J. D. B.; KLERKX, L.; MORAINE, M.; PETERSON, C. A.; REIS, J. C. dos; VALENTIM, J. F. Drivers of decoupling and recoupling of crop and livestock systems at farm and territorial scales. Ecology and Society, v. 25, n. 1, 2020.| Biblioteca(s): Embrapa Acre; Embrapa Agrossilvipastoril; Embrapa Amazônia Oriental. |
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| 15. | | REIS, J. C. dos; RODRIGUES, G. S.; BARROS, I. de; RODRIGUES, R. de A. R.; GARRETT, R. D.; VALENTIM, J. F.; KAMOI, M. Y. T.; MICHETTI, M.; WRUCK, F. J.; RODRIGUES FILHO, S.; PIMENTEL, P. E. O.; SMUKLER, S. Integrated crop-livestock systems: a sustainable land-use alternative for food production in the Brazilian Cerrado and Amazon. Journal of Cleaner Production, v. 283, 124580, 2021.| Biblioteca(s): Embrapa Acre; Embrapa Agrossilvipastoril; Embrapa Gado de Leite; Embrapa Meio Ambiente; Embrapa Solos. |
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| 16. | | REIS, J. C. dos; RODRIGUES, G. S.; BARROS, I. de; RODRIGUES, R. de A. R.; GARRETT, R. D.; VALENTIM, J. F.; KAMOI, M. Y. T.; MICHETTI, M.; WRUCK, F. J.; RODRIGUES-FILHO, S. Fuzzy logic indicators for the assessment of farming sustainability strategies in a tropical agricultural frontier. Agronomy for Sustainable Development, v. 43, 2023. 18 p.| Biblioteca(s): Embrapa Acre; Embrapa Cerrados; Embrapa Gado de Leite; Embrapa Meio Ambiente. |
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| 17. | | GARRETT, R. D.; NILES, M. T.; GIL, J. D. B.; GAUDIN, A.; CHAPLIN-KRAMER, R.; ASSMANN, A.; ASSMANN, T. S.; BREWERM, K.; CARVALHO, P. C. de F.; CORTNER, O.; DYNES, R.; GARBACHK, K.; KEBREAB, E.; MUELLER, N.; PETERSON, C.; REIS, J. C. dos; SNOW, V.; VALENTIM, J. F. Social and ecological analysis of commercial integrated crop livestock systems: Current knowledge and remaining uncertainty. Agricultural Systems, Amsterdam, v. 155, p. 136-146, July 2017.| Biblioteca(s): Embrapa Acre; Embrapa Agrossilvipastoril. |
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| 18. | | LEAL, C. G.; LENNOX, G. D.; FERRAZ, S. F. B.; FERREIRA, J. N.; GARDNER, T. A.; THOMSON, J. R.; BERENGUER, E.; LEES, A. C.; HUGHES, R. M.; NALLY, R. M.; ARAGÃO, L. E. O. C.; BRITO, J. G. de; CASTELLO, L.; GARRETT, R. D.; HAMADA, N.; JUEN, L.; LEITÃO, R. P.; LOUZADA, J.; MORELLO, T. F.; MOURA, N. G.; NESSIMIAN, J. L.; OLIVEIRA-JUNIOR, J. M. B.; OLIVEIRA, V. H. F.; OLIVEIRA, V. C. de; PARRY, L.; POMPEU, P. S.; SOLAR, R. R. C.; ZUANON, J.; BARLOW, J. Integrated terrestrial-freshwater planning doubles conservation of tropical aquatic species. Science, v. 370, n. 6512, p. 117-121, Oct. 2020.| Biblioteca(s): Embrapa Amazônia Oriental. |
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| Registros recuperados : 18 | |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Cerrados. Para informações adicionais entre em contato com cpac.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Acre; Embrapa Cerrados; Embrapa Gado de Leite; Embrapa Meio Ambiente. |
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Data corrente: |
11/01/2023 |
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Data da última atualização: |
24/03/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
A - 1 |
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Autoria: |
REIS, J. C. dos; RODRIGUES, G. S.; BARROS, I. de; RODRIGUES, R. de A. R.; GARRETT, R. D.; VALENTIM, J. F.; KAMOI, M. Y. T.; MICHETTI, M.; WRUCK, F. J.; RODRIGUES-FILHO, S. |
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Afiliação: |
JULIO CESAR DOS REIS, CPAC; GERALDO STACHETTI RODRIGUES, CNPMA; INACIO DE BARROS, CNPGL; RENATO DE ARAGÃO RIBEIRO RODRIGUES; RACHAEL D. GARRETT; JUDSON FERREIRA VALENTIM, CPAF-AC; MARIANA Y. T. KAMOI; MIQUEIAS MICHETTI; FLAVIO JESUS WRUCK, CPAMT; SAULO RODRIGUES‑FILHO. |
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Título: |
Fuzzy logic indicators for the assessment of farming sustainability strategies in a tropical agricultural frontier. |
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Ano de publicação: |
2023 |
|
Fonte/Imprenta: |
Agronomy for Sustainable Development, v. 43, 2023. |
|
Páginas: |
18 p. |
|
DOI: |
https://doi.org/10.1007/s13593-022-00858-5 |
|
Idioma: |
Inglês |
|
Conteúdo: |
Assessing the sustainability of agricultural systems encompasses complex and interchanging economic, environmental and social issues, and requires multi-criteria decision-analysis approaches. Various models have been proposed to assess agricultural sustainability considering these issues, based for example on programs for multi-attribute decision making or Fuzzy Interference Systems. However, we identify a lack of comprehensive models applicable to broad agricultural conditions in diferent environments and socioeconomic contexts. To fll this gap, we propose a novel, indicator-based fuzzy logic model for assessing the sustainability of agricultural systems. To test the model?s suitability, we conducted twenty-two case studies over the 2018/19 cropping season in the Brazilian agricultural-forest frontier region; the farms chosen represent the three most common farming systems there: (i) pure crop farming (crop rotation only: soybean - corn), (ii) pure livestock, and (iii) integrated farming (crop - livestock and livestock - forest). Partial indicators were built to assess the economic, environmental, and social performances of those farming systems, then were further integrated in a sustainability index. The results show higher and better-balanced performance for integrated farms, which displayed the highest sustainability index values. In contrast, livestock farms performed poorly in all dimensions and showed the lowest sustainability index. Crop farms showed higher economic, but lower social and environmental performances. These results are in contrast to the oft-perceived trade-ofs among diferent pillars of sustainability and show that integrated systems have the potential to balance multiple sustainability objectives, by leveraging multiple subsystem synergies. The innovative fuzzy inference model proposed is suitable to deal with information at the farm level, handling diferent types of farming systems, and applicable to diferent environmental or socioeconomic contexts. Moreover, the proposed indicators and associated indices ofer relevant information to policy-makers to foster the sustainable intensifcation of farming systems, while promoting environmental
protection and the coexistence of biodiversity and the agricultural sector. MenosAssessing the sustainability of agricultural systems encompasses complex and interchanging economic, environmental and social issues, and requires multi-criteria decision-analysis approaches. Various models have been proposed to assess agricultural sustainability considering these issues, based for example on programs for multi-attribute decision making or Fuzzy Interference Systems. However, we identify a lack of comprehensive models applicable to broad agricultural conditions in diferent environments and socioeconomic contexts. To fll this gap, we propose a novel, indicator-based fuzzy logic model for assessing the sustainability of agricultural systems. To test the model?s suitability, we conducted twenty-two case studies over the 2018/19 cropping season in the Brazilian agricultural-forest frontier region; the farms chosen represent the three most common farming systems there: (i) pure crop farming (crop rotation only: soybean - corn), (ii) pure livestock, and (iii) integrated farming (crop - livestock and livestock - forest). Partial indicators were built to assess the economic, environmental, and social performances of those farming systems, then were further integrated in a sustainability index. The results show higher and better-balanced performance for integrated farms, which displayed the highest sustainability index values. In contrast, livestock farms performed poorly in all dimensions and showed the lowest sustainability index. Crop farms showed higher economic... Mostrar Tudo |
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Palavras-Chave: |
Sistema agrícola; Sustentabilidade. |
|
Thesagro: |
Cerrado. |
|
Thesaurus NAL: |
Amazonia; Fuzzy logic; Integrated agricultural systems. |
|
Categoria do assunto: |
--
A Sistemas de Cultivo
P Recursos Naturais, Ciências Ambientais e da Terra
X Pesquisa, Tecnologia e Engenharia |
|
Marc: |
LEADER 03258naa a2200325 a 4500
001 2150885
005 2023-03-24
008 2023 bl uuuu u00u1 u #d
024 7 $ahttps://doi.org/10.1007/s13593-022-00858-5$2DOI
100 1 $aREIS, J. C. dos
245 $aFuzzy logic indicators for the assessment of farming sustainability strategies in a tropical agricultural frontier.$h[electronic resource]
260 $c2023
300 $a18 p.
520 $aAssessing the sustainability of agricultural systems encompasses complex and interchanging economic, environmental and social issues, and requires multi-criteria decision-analysis approaches. Various models have been proposed to assess agricultural sustainability considering these issues, based for example on programs for multi-attribute decision making or Fuzzy Interference Systems. However, we identify a lack of comprehensive models applicable to broad agricultural conditions in diferent environments and socioeconomic contexts. To fll this gap, we propose a novel, indicator-based fuzzy logic model for assessing the sustainability of agricultural systems. To test the model?s suitability, we conducted twenty-two case studies over the 2018/19 cropping season in the Brazilian agricultural-forest frontier region; the farms chosen represent the three most common farming systems there: (i) pure crop farming (crop rotation only: soybean - corn), (ii) pure livestock, and (iii) integrated farming (crop - livestock and livestock - forest). Partial indicators were built to assess the economic, environmental, and social performances of those farming systems, then were further integrated in a sustainability index. The results show higher and better-balanced performance for integrated farms, which displayed the highest sustainability index values. In contrast, livestock farms performed poorly in all dimensions and showed the lowest sustainability index. Crop farms showed higher economic, but lower social and environmental performances. These results are in contrast to the oft-perceived trade-ofs among diferent pillars of sustainability and show that integrated systems have the potential to balance multiple sustainability objectives, by leveraging multiple subsystem synergies. The innovative fuzzy inference model proposed is suitable to deal with information at the farm level, handling diferent types of farming systems, and applicable to diferent environmental or socioeconomic contexts. Moreover, the proposed indicators and associated indices ofer relevant information to policy-makers to foster the sustainable intensifcation of farming systems, while promoting environmental protection and the coexistence of biodiversity and the agricultural sector.
650 $aAmazonia
650 $aFuzzy logic
650 $aIntegrated agricultural systems
650 $aCerrado
653 $aSistema agrícola
653 $aSustentabilidade
700 1 $aRODRIGUES, G. S.
700 1 $aBARROS, I. de
700 1 $aRODRIGUES, R. de A. R.
700 1 $aGARRETT, R. D.
700 1 $aVALENTIM, J. F.
700 1 $aKAMOI, M. Y. T.
700 1 $aMICHETTI, M.
700 1 $aWRUCK, F. J.
700 1 $aRODRIGUES-FILHO, S.
773 $tAgronomy for Sustainable Development$gv. 43, 2023.
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