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Registro Completo |
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Biblioteca(s): |
Embrapa Meio Ambiente; Embrapa Recursos Genéticos e Biotecnologia. |
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Data corrente: |
11/02/2014 |
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Data da última atualização: |
10/03/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
ANDOW, D. A.; LOVEI, G. L.; ARPAIA, S.; WILSON, L.; FONTES, E. M. G.; HILBECK, A.; LANG, A.; TUAT, N. V.; PIRES, C. S. S.; SUJII, E. R.; ZWAHLEN, C.; BIRCH, A. N. E.; CAPALBO, D. M. F.; PRESCOTT, K.; OMOTO, C.; ZEILINGER, A. R. |
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Afiliação: |
D. A. ANDOW, University of Minnesota; GABOR L. LOVEI, Aarhus University; SALVATORE ARPAIA, ENEA-Research Centre Trisaia; LEWIS WILSON, CSIRO Cotton Research; ELIANA MARIA GOUVEIA FONTES, CENARGEN; ANGELICA HILBECK, Swiss Federal Institute of Technology; ANDREAS LANG, University of Basel; NGUYEN VAN TUAT, Food Crops Research Institute; CARMEN SILVIA SOARES PIRES, CENARGEN; EDISON RYOITI SUJII, CENARGEN; CLAUDIA ZWAHLEN, University of Minnesota; A. N. E. BIRCH, Ecological Science Group; DEISE MARIA FONTANA CAPALBO, CNPMA; KRISTINA PRESCOTT, University of Minnesota; CELSO OMOTO, ESALQ-USP; ADAM R. ZEILINGER, University of Minnesota. |
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Título: |
An ecologically-based method for selecting ecological indicators for assessing risks to biological diversity from genetically-engineered plants. |
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Ano de publicação: |
2013 |
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Fonte/Imprenta: |
Journal of Biosafety, v. 22, n. 3, p. 141-156, 2013. |
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Idioma: |
Inglês |
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Conteúdo: |
The environmental risks associated with genetically-engineered (GE) organisms have been controversial, and so have the models for the assessment of these risks. We propose an ecologically-based environmental risk assessment (ERA) model that follows the 1998 USEPA guidelines, focusing on potential adverse effects to biological diversity. The approach starts by (1) identifying the local environmental values so the ERA addresses specific concerns associated with local biological diversity. The model simplifies the indicator endpoint selection problem by (2) classifying biological diversity into ecological functional groups and selecting those that deliver the identified environmental values. (3) All of the species or ecosystem processes related to the selected functional groups are identified and (4) multi-criteria decision analysis (MCDA) is used to rank the indicator endpoint entities, which may be species or ecological processes. MCDA focuses on those species and processes that are critical for the identified ecological functions and are likely to be highly exposed to the GE organism. The highest ranked indicator entities are selected for the next step. (5) Relevant risk hypotheses are identified. Knowledge about the specific transgene and its possible environmental effects in other countries can be used to assist development of risk hypotheses. (6) The risk hypotheses are ranked using MCDA with criteria related to the severity of the potential risk. The model emphasizes transparent, expert-driven, ecologically-based decision-making and provides formal methods for completing a screening level-ERA that can focus ERA on the most significant concerns. The process requires substantial human input but the human capital is available in most countries and regions of the world. MenosThe environmental risks associated with genetically-engineered (GE) organisms have been controversial, and so have the models for the assessment of these risks. We propose an ecologically-based environmental risk assessment (ERA) model that follows the 1998 USEPA guidelines, focusing on potential adverse effects to biological diversity. The approach starts by (1) identifying the local environmental values so the ERA addresses specific concerns associated with local biological diversity. The model simplifies the indicator endpoint selection problem by (2) classifying biological diversity into ecological functional groups and selecting those that deliver the identified environmental values. (3) All of the species or ecosystem processes related to the selected functional groups are identified and (4) multi-criteria decision analysis (MCDA) is used to rank the indicator endpoint entities, which may be species or ecological processes. MCDA focuses on those species and processes that are critical for the identified ecological functions and are likely to be highly exposed to the GE organism. The highest ranked indicator entities are selected for the next step. (5) Relevant risk hypotheses are identified. Knowledge about the specific transgene and its possible environmental effects in other countries can be used to assist development of risk hypotheses. (6) The risk hypotheses are ranked using MCDA with criteria related to the severity of the potential risk. The model emphasizes tra... Mostrar Tudo |
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Palavras-Chave: |
Environmental risk assessment; Genetically engineered organisms. |
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Thesagro: |
Biodiversidade; Impacto ambiental; Planta transgênica. |
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Thesaurus Nal: |
Biodiversity; ecosystem services; Risk assessment; Transgenic plants. |
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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/item/97032/1/2013AP47.pdf
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Marc: |
LEADER 03008naa a2200409 a 4500
001 1980027
005 2023-03-10
008 2013 bl uuuu u00u1 u #d
100 1 $aANDOW, D. A.
245 $aAn ecologically-based method for selecting ecological indicators for assessing risks to biological diversity from genetically-engineered plants.$h[electronic resource]
260 $c2013
520 $aThe environmental risks associated with genetically-engineered (GE) organisms have been controversial, and so have the models for the assessment of these risks. We propose an ecologically-based environmental risk assessment (ERA) model that follows the 1998 USEPA guidelines, focusing on potential adverse effects to biological diversity. The approach starts by (1) identifying the local environmental values so the ERA addresses specific concerns associated with local biological diversity. The model simplifies the indicator endpoint selection problem by (2) classifying biological diversity into ecological functional groups and selecting those that deliver the identified environmental values. (3) All of the species or ecosystem processes related to the selected functional groups are identified and (4) multi-criteria decision analysis (MCDA) is used to rank the indicator endpoint entities, which may be species or ecological processes. MCDA focuses on those species and processes that are critical for the identified ecological functions and are likely to be highly exposed to the GE organism. The highest ranked indicator entities are selected for the next step. (5) Relevant risk hypotheses are identified. Knowledge about the specific transgene and its possible environmental effects in other countries can be used to assist development of risk hypotheses. (6) The risk hypotheses are ranked using MCDA with criteria related to the severity of the potential risk. The model emphasizes transparent, expert-driven, ecologically-based decision-making and provides formal methods for completing a screening level-ERA that can focus ERA on the most significant concerns. The process requires substantial human input but the human capital is available in most countries and regions of the world.
650 $aBiodiversity
650 $aecosystem services
650 $aRisk assessment
650 $aTransgenic plants
650 $aBiodiversidade
650 $aImpacto ambiental
650 $aPlanta transgênica
653 $aEnvironmental risk assessment
653 $aGenetically engineered organisms
700 1 $aLOVEI, G. L.
700 1 $aARPAIA, S.
700 1 $aWILSON, L.
700 1 $aFONTES, E. M. G.
700 1 $aHILBECK, A.
700 1 $aLANG, A.
700 1 $aTUAT, N. V.
700 1 $aPIRES, C. S. S.
700 1 $aSUJII, E. R.
700 1 $aZWAHLEN, C.
700 1 $aBIRCH, A. N. E.
700 1 $aCAPALBO, D. M. F.
700 1 $aPRESCOTT, K.
700 1 $aOMOTO, C.
700 1 $aZEILINGER, A. R.
773 $tJournal of Biosafety$gv. 22, n. 3, p. 141-156, 2013.
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Registro original: |
Embrapa Recursos Genéticos e Biotecnologia (CENARGEN) |
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Biblioteca(s): |
Embrapa Agricultura Digital; Embrapa Instrumentação; Embrapa Meio Ambiente; Embrapa Recursos Genéticos e Biotecnologia; Embrapa Solos; Embrapa Territorial. |
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Data corrente: |
07/07/2020 |
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Data da última atualização: |
07/07/2020 |
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Tipo da produção científica: |
Documentos |
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Autoria: |
PINTO, D. M.; OLIVEIRA, P. de; MINITTI, A. F.; MENDES, A. M.; VILELA, G. F.; CASTRO, G. S. A.; ROCHA, J. D.; BOGIANI, J. C.; NOGUEIRA JUNIOR, L. R.; COSTA, C. C. da; NOVAES, R. M. L.; JESUS, I. R. D. de; FAE, V. A.; EDUARDO, M. de P.; FOSCHINI, M. M.; ALENCAR, J. R. DE; CRUZ, M. C. D.; GARCIA, E. P. DE. A.; JARDINE, J. G.; RODRIGUES, G. S. |
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Afiliação: |
DANIELA MACIEL PINTO, CNPM; PRISCILA DE OLIVEIRA, CNPMA; ANDRE FACHINI MINITTI, CNPTIA; ANGELO MANSUR MENDES, CNPM; GISELE FREITAS VILELA, CNPM; GUSTAVO SPADOTTI AMARAL CASTRO, CNPM; JOSE DILCIO ROCHA, CNPM; JULIO CESAR BOGIANI, CNPM; LAURO RODRIGUES NOGUEIRA JUNIOR, CNPM; CINTHIA CABRAL DA COSTA, CNPDIA; RENAN MILAGRES LAGE NOVAES, CNPMA; IGOR ROSA DIAS DE JESUS, CNPS; VERAMILLES APARECIDA FAE, CNPS; MARISA DE PAULA EDUARDO CAMARGO, CNPDIA; MILENE CORSO MITSUYUKI, CNPDIA; JUNIA RODRIGUES DE ALENCAR, CNPTIA; MARIA CLARA DA CRUZ, Cenargen; ELAINE PRISCILA DE ANDRADE GARCIA, UNICAMP; JOSE GILBERTO JARDINE, CNPM; GERALDO STACHETTI RODRIGUES, CNPMA. |
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Título: |
Ambitec-TICs: avaliação de impactos de tecnologias de informação e comunicação aplicadas à agropecuária. |
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Ano de publicação: |
2020 |
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Fonte/Imprenta: |
Campinas: Embrapa Territorial, 2020. |
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Páginas: |
31 p. |
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Série: |
(Embrapa Territorial. Documentos, 131) |
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ISSN: |
0103-7811 |
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Idioma: |
Português |
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Conteúdo: |
Este trabalho tem o objetivo de apresentar um módulo metodológico derivado do sistema de indicadores Ambitec-Agro4 (Rodrigues et al., 2003, 2010), voltado à avaliação de
impactos de inovações oriundas das TICs e à verificação de sua aplicabilidade a seis diferentes TPPS da Embrapa, em avaliações-piloto com seus desenvolvedores e usuários. |
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Palavras-Chave: |
Adoção de tecnologia; Ambitec-Agro; Ambitec-TICs; Balanço social; Metodologia; Tecnologias da informação e comunicação. |
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Thesagro: |
Agricultura; Inovação; Transferência de Tecnologia. |
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Thesaurus NAL: |
Agriculture; Information technology; Innovation adoption; Technology transfer. |
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Categoria do assunto: |
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X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/214454/1/5257.pdf
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/215195/1/P-Ambitec-TICs-Avaliacao-de-impactos-de-tecnologias-....pdf
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Marc: |
LEADER 01899nam a2200529 a 4500
001 2123688
005 2020-07-07
008 2020 bl uuuu u0uu1 u #d
022 $a0103-7811
100 1 $aPINTO, D. M.
245 $aAmbitec-TICs$bavaliação de impactos de tecnologias de informação e comunicação aplicadas à agropecuária.$h[electronic resource]
260 $aCampinas: Embrapa Territorial$c2020
300 $a31 p.
490 $a(Embrapa Territorial. Documentos, 131)
520 $aEste trabalho tem o objetivo de apresentar um módulo metodológico derivado do sistema de indicadores Ambitec-Agro4 (Rodrigues et al., 2003, 2010), voltado à avaliação de impactos de inovações oriundas das TICs e à verificação de sua aplicabilidade a seis diferentes TPPS da Embrapa, em avaliações-piloto com seus desenvolvedores e usuários.
650 $aAgriculture
650 $aInformation technology
650 $aInnovation adoption
650 $aTechnology transfer
650 $aAgricultura
650 $aInovação
650 $aTransferência de Tecnologia
653 $aAdoção de tecnologia
653 $aAmbitec-Agro
653 $aAmbitec-TICs
653 $aBalanço social
653 $aMetodologia
653 $aTecnologias da informação e comunicação
700 1 $aOLIVEIRA, P. de
700 1 $aMINITTI, A. F.
700 1 $aMENDES, A. M.
700 1 $aVILELA, G. F.
700 1 $aCASTRO, G. S. A.
700 1 $aROCHA, J. D.
700 1 $aBOGIANI, J. C.
700 1 $aNOGUEIRA JUNIOR, L. R.
700 1 $aCOSTA, C. C. da
700 1 $aNOVAES, R. M. L.
700 1 $aJESUS, I. R. D. de
700 1 $aFAE, V. A.
700 1 $aEDUARDO, M. de P.
700 1 $aFOSCHINI, M. M.
700 1 $aALENCAR, J. R. DE
700 1 $aCRUZ, M. C. D.
700 1 $aGARCIA, E. P. DE. A.
700 1 $aJARDINE, J. G.
700 1 $aRODRIGUES, G. S.
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Embrapa Territorial (CNPM) |
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