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Registro Completo |
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Biblioteca(s): |
Embrapa Arroz e Feijão. |
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Data corrente: |
01/07/2022 |
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Data da última atualização: |
03/02/2023 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
RESENDE, R. T.; CHENU, K.; RASMUSSEN, S. K.; HEINEMANN, A. B.; FRITSCHE-NETO, R. |
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Afiliação: |
RAFAEL TASSINARI RESENDE, UNIVERSIDADE FEDERAL DE GOIÁS; KARINE CHENU, UNIVERSITY OF QUEENSLAND, St. Lucia-Australia; SOREN K. RASMUSSEN, UNIVERSITY OF COPENHAGEN, Denmark; ALEXANDRE BRYAN HEINEMANN, CNPAF; ROBERTO FRITSCHE-NETO, INTERNATIONAL RICE RESEARCH INSTITUTE. |
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Título: |
Environmics in plant breeding. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Frontiers in Plant Science, v. 13, article 935380, June 2022. |
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ISSN: |
1664-462X |
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DOI: |
https://doi.org/10.3389/fpls.2022.935380 |
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Idioma: |
Inglês |
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Conteúdo: |
Enviromics is a process dealing with environmental characterization by envirotyping for micro- or macro-environments. In plant science, efforts have focused on interpretating plant responses to environmental cues and on understanding the interactions of genotypes with environments. |
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Palavras-Chave: |
Envirotyping; Macro-environments; Micro-environments. |
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Thesagro: |
Desenvolvimento Sustentável; Melhoramento Genético Vegetal. |
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Thesaurus Nal: |
Environmental management; Genotype-environment interaction. |
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Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1144401/1/fps-2022.pdf
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Marc: |
LEADER 01116naa a2200277 a 4500
001 2144401
005 2023-02-03
008 2022 bl uuuu u00u1 u #d
022 $a1664-462X
024 7 $ahttps://doi.org/10.3389/fpls.2022.935380$2DOI
100 1 $aRESENDE, R. T.
245 $aEnvironmics in plant breeding.$h[electronic resource]
260 $c2022
520 $aEnviromics is a process dealing with environmental characterization by envirotyping for micro- or macro-environments. In plant science, efforts have focused on interpretating plant responses to environmental cues and on understanding the interactions of genotypes with environments.
650 $aEnvironmental management
650 $aGenotype-environment interaction
650 $aDesenvolvimento Sustentável
650 $aMelhoramento Genético Vegetal
653 $aEnvirotyping
653 $aMacro-environments
653 $aMicro-environments
700 1 $aCHENU, K.
700 1 $aRASMUSSEN, S. K.
700 1 $aHEINEMANN, A. B.
700 1 $aFRITSCHE-NETO, R.
773 $tFrontiers in Plant Science$gv. 13, article 935380, June 2022.
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Registro original: |
Embrapa Arroz e Feijão (CNPAF) |
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Registro Completo
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Biblioteca(s): |
Embrapa Roraima. |
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Data corrente: |
12/11/2021 |
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Data da última atualização: |
12/11/2021 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Circulação/Nível: |
C - 0 |
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Autoria: |
ANDERSON, L. O.; BURTON, C.; REIS, J. B. C. dos; PESSÔA, A. C. M.; BETT, P.; CARVALHO, N. S.; SILVA JUNIOR, C. H. L.; WILLIAMS, K.; SELAYA, G.; ARMENTERAS, D.; BILBAO, B. A.; XAUD, H. A. M.; RIVERA-LOMBARDI, R.; FERREIRA, J. N.; ARAGÃO, L. E. O. C.; JONES, C. D.; WILTSHIRE, A. J. |
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Afiliação: |
HARON ABRAHIM MAGALHAES XAUD, CPAF-RR; JOICE NUNES FERREIRA, CPATU. |
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Título: |
An alert systemfor Seasonal Fire probability forecast for South American Protected Areas. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
Climate Resilience and Sustainability, p. 1-19, 2021. |
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DOI: |
DOI: 10.1002/cli2.19 |
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Idioma: |
Inglês |
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Conteúdo: |
Timely spatially explicit warning of areas with high fire occurrence probability is an important component of strategic plans to prevent andmonitor fires within South American (SA) Protected Areas (PAs). In this study, we present a five-level alert system,which combines both climatological and anthropogenic factors, the two main drivers of fires in SA. The alert levels are: High Alert, Alert, Attention, Observation and Low Probability. The trend in the number of active fires over the past three years and the accumulated number of active fires over the same period were used as indicators of intensification of human use of fire in that region, possibly associated with ongoing land use/land cover change (LULCC). An ensemble of temperature and precipitation gridded output from the GloSea5 Seasonal Forecast System was used to indicate an enhanced probability of hot and dry weather conditions that combined with LULCC favour fire occurrences. Alerts from this system were first issued in August 2020, for the period ranging from August to October (ASO) 2020. Overall, 50% of all fires observed during the ASO 2017?2019 period and 40% of the ASO 2020 fires occurred in only 29 PAs were all categorized in the top two alert levels. In categories mapped as High Alert level, 34% of the PAs experienced an increase in fires compared with the 2017?2019 reference period, and 81% of the High Alert false alarm registered fire occurrence above the median. Initial feedback from stakeholders indicates that these alerts were used to inform resource management in some PAs. We expect that these forecasts can provide continuous information aiming at changing societal perceptions of fire use and consequently subsidize strategic planning andmitigatory actions, focusing on timely responses to a disaster risk management strategy. Further research must focus on the model improvement and knowledge translation to stakeholders. MenosTimely spatially explicit warning of areas with high fire occurrence probability is an important component of strategic plans to prevent andmonitor fires within South American (SA) Protected Areas (PAs). In this study, we present a five-level alert system,which combines both climatological and anthropogenic factors, the two main drivers of fires in SA. The alert levels are: High Alert, Alert, Attention, Observation and Low Probability. The trend in the number of active fires over the past three years and the accumulated number of active fires over the same period were used as indicators of intensification of human use of fire in that region, possibly associated with ongoing land use/land cover change (LULCC). An ensemble of temperature and precipitation gridded output from the GloSea5 Seasonal Forecast System was used to indicate an enhanced probability of hot and dry weather conditions that combined with LULCC favour fire occurrences. Alerts from this system were first issued in August 2020, for the period ranging from August to October (ASO) 2020. Overall, 50% of all fires observed during the ASO 2017?2019 period and 40% of the ASO 2020 fires occurred in only 29 PAs were all categorized in the top two alert levels. In categories mapped as High Alert level, 34% of the PAs experienced an increase in fires compared with the 2017?2019 reference period, and 81% of the High Alert false alarm registered fire occurrence above the median. Initial feedback from stakeholders indicate... Mostrar Tudo |
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Palavras-Chave: |
Conservation; Disaster risk reduction; Mitigation. |
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Thesaurus NAL: |
Wildfires. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/227720/1/cli2.191.pdf
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Marc: |
LEADER 02985naa a2200373 a 4500
001 2136099
005 2021-11-12
008 2021 bl uuuu u00u1 u #d
024 7 $aDOI: 10.1002/cli2.19$2DOI
100 1 $aANDERSON, L. O.
245 $aAn alert systemfor Seasonal Fire probability forecast for South American Protected Areas.$h[electronic resource]
260 $c2021
520 $aTimely spatially explicit warning of areas with high fire occurrence probability is an important component of strategic plans to prevent andmonitor fires within South American (SA) Protected Areas (PAs). In this study, we present a five-level alert system,which combines both climatological and anthropogenic factors, the two main drivers of fires in SA. The alert levels are: High Alert, Alert, Attention, Observation and Low Probability. The trend in the number of active fires over the past three years and the accumulated number of active fires over the same period were used as indicators of intensification of human use of fire in that region, possibly associated with ongoing land use/land cover change (LULCC). An ensemble of temperature and precipitation gridded output from the GloSea5 Seasonal Forecast System was used to indicate an enhanced probability of hot and dry weather conditions that combined with LULCC favour fire occurrences. Alerts from this system were first issued in August 2020, for the period ranging from August to October (ASO) 2020. Overall, 50% of all fires observed during the ASO 2017?2019 period and 40% of the ASO 2020 fires occurred in only 29 PAs were all categorized in the top two alert levels. In categories mapped as High Alert level, 34% of the PAs experienced an increase in fires compared with the 2017?2019 reference period, and 81% of the High Alert false alarm registered fire occurrence above the median. Initial feedback from stakeholders indicates that these alerts were used to inform resource management in some PAs. We expect that these forecasts can provide continuous information aiming at changing societal perceptions of fire use and consequently subsidize strategic planning andmitigatory actions, focusing on timely responses to a disaster risk management strategy. Further research must focus on the model improvement and knowledge translation to stakeholders.
650 $aWildfires
653 $aConservation
653 $aDisaster risk reduction
653 $aMitigation
700 1 $aBURTON, C.
700 1 $aREIS, J. B. C. dos
700 1 $aPESSÔA, A. C. M.
700 1 $aBETT, P.
700 1 $aCARVALHO, N. S.
700 1 $aSILVA JUNIOR, C. H. L.
700 1 $aWILLIAMS, K.
700 1 $aSELAYA, G.
700 1 $aARMENTERAS, D.
700 1 $aBILBAO, B. A.
700 1 $aXAUD, H. A. M.
700 1 $aRIVERA-LOMBARDI, R.
700 1 $aFERREIRA, J. N.
700 1 $aARAGÃO, L. E. O. C.
700 1 $aJONES, C. D.
700 1 $aWILTSHIRE, A. J.
773 $tClimate Resilience and Sustainability, p. 1-19, 2021.
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Embrapa Roraima (CPAF-RR) |
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