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Registro Completo |
Biblioteca(s): |
Embrapa Amazônia Ocidental. |
Data corrente: |
27/11/2018 |
Data da última atualização: |
27/11/2018 |
Autoria: |
COSTA, C. M. de S. |
Afiliação: |
Carinne Moreira de Souza Costa. |
Título: |
Viabilidade do cultivo in vitro de Neoechinorhynchus buttnerae (Acantocephala) de Colossoma macropomum (Serrasalmidae) e seu controle in vitro e in vivo com óleos essenciais. |
Ano de publicação: |
2018 |
Fonte/Imprenta: |
2018. |
Páginas: |
99 f. |
Idioma: |
Português |
Notas: |
Dissertação (Mestrado em Aquicultura) - Universidade Nilton Lins, Manaus. |
Conteúdo: |
Avaliou-se a sobrevivência in vitro do acantocéfalo Neoechinorhynchus buttnerae, parasito intestinal de tambaqui (Colossoma macropomum) e a eficácia dos óleos essenciais de Mentha piperita, Lippia alba e Zingiber officinale para seu controle. Dos resultados obtidos, foi determinada a melhor condição in vitro do parasito fora do seu hospedeiro e o óleo essencial com a melhor eficácia contra o acantocéfalo e qual obteve resultados positivos nos parâmetros hematológicos dos tambaquis. |
Palavras-Chave: |
Acantocéfalo; Antiparasitários. |
Thesagro: |
Tambaqui. |
Categoria do assunto: |
-- |
Marc: |
LEADER 01117nam a2200169 a 4500 001 2100156 005 2018-11-27 008 2018 bl uuuu m 00u1 u #d 100 1 $aCOSTA, C. M. de S. 245 $aViabilidade do cultivo in vitro de Neoechinorhynchus buttnerae (Acantocephala) de Colossoma macropomum (Serrasalmidae) e seu controle in vitro e in vivo com óleos essenciais.$h[electronic resource] 260 $a2018.$c2018 300 $a99 f. 500 $aDissertação (Mestrado em Aquicultura) - Universidade Nilton Lins, Manaus. 520 $aAvaliou-se a sobrevivência in vitro do acantocéfalo Neoechinorhynchus buttnerae, parasito intestinal de tambaqui (Colossoma macropomum) e a eficácia dos óleos essenciais de Mentha piperita, Lippia alba e Zingiber officinale para seu controle. Dos resultados obtidos, foi determinada a melhor condição in vitro do parasito fora do seu hospedeiro e o óleo essencial com a melhor eficácia contra o acantocéfalo e qual obteve resultados positivos nos parâmetros hematológicos dos tambaquis. 650 $aTambaqui 653 $aAcantocéfalo 653 $aAntiparasitários
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Embrapa Amazônia Ocidental (CPAA) |
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Biblioteca(s): |
Embrapa Amazônia Oriental. |
Data corrente: |
14/12/2023 |
Data da última atualização: |
14/12/2023 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
NEGRÓN-JUÁREZ, R. I.; HOLM, J. A.; FAYBISHENKO, B.; MAGNABOSCO-MARRA, D.; FISHER, R. A.; SHUMAN, J. K.; ARAUJO, A. C. de; RILEY, W. J.; CHAMBERS, J. Q. |
Afiliação: |
ROBINSON I. NEGRÓN-JUÁREZ, Lawrence Berkeley National Laboratory; JENNIFER A. HOLM, Lawrence Berkeley National Laboratory; BORIS FAYBISHENKO, Lawrence Berkeley National Laboratory; DANIEL MAGNABOSCO-MARRA, Max Planck Institute for Biogeochemistry / INPA; ROSIE A. FISHER, NCAR / CERFACS; JACQUELYN K. SHUMAN, NCAR; ALESSANDRO CARIOCA DE ARAUJO, CPATU; WILLIAM J. RILEY, Lawrence Berkeley National Laboratory; JEFFREY Q. CHAMBERS, Lawrence Berkeley National Laboratory. |
Título: |
Landsat near-infrared (NIR) band and ELM-FATES sensitivity to forest disturbances and regrowth in the Central Amazon. |
Ano de publicação: |
2020 |
Fonte/Imprenta: |
Biogeosciences, v. 17, n. 23, p. 6185-6205, 2020. |
DOI: |
https://doi.org/10.5194/bg-17-6185-2020 |
Idioma: |
Inglês |
Conteúdo: |
Forest disturbance and regrowth are key processes in forest dynamics, but detailed information on these processes is difficult to obtain in remote forests such as the Amazon. We used chronosequences of Landsat satellite imagery (Landsat 5 Thematic Mapper and Landsat 7 Enhanced Thematic Mapper Plus) to determine the sensitivity of surface reflectance from all spectral bands to windthrow, clear-cut, and clear-cut and burned (cut+burn) and their successional pathways of forest regrowth in the Central Amazon. We also assessed whether the forest demography model Functionally Assembled Terrestrial Ecosystem Simulator (FATES) implemented in the Energy Exascale Earth System Model (E3SM) Land Model (ELM), ELM-FATES, accurately represents the changes for windthrow and clear-cut. The results show that all spectral bands from the Landsat satellites were sensitive to the disturbances but after 3 to 6 years only the near-infrared (NIR) band had significant changes associated with the successional pathways of forest regrowth for all the disturbances considered. In general, the NIR values decreased immediately after disturbance, increased to maximum values with the establishment of pioneers and early successional tree species, and then decreased slowly and almost linearly to pre-disturbance conditions with the dynamics of forest succession. Statistical methods predict that NIR values will return to pre-disturbance values in about 39, 36, and 56 years for windthrow, clear-cut, and cut+burn disturbances, respectively. The NIR band captured the observed, and different, successional pathways of forest regrowth after windthrow, clear-cut, and cut+burn. Consistent with inferences from the NIR observations, ELM-FATES predicted higher peaks of biomass and stem density after clear-cuts than after windthrows. ELM-FATES also predicted recovery of forest structure and canopy coverage back to pre-disturbance conditions in 38 years after windthrows and 41 years after clear-cut. The similarity of ELM-FATES predictions of regrowth patterns after windthrow and clear-cut to those of the NIR results suggests the NIR band can be used to benchmark forest regrowth in ecosystem models. Our results show the potential of Landsat imagery data for mapping forest regrowth from different types of disturbances, benchmarking, and the improvement of forest regrowth models. MenosForest disturbance and regrowth are key processes in forest dynamics, but detailed information on these processes is difficult to obtain in remote forests such as the Amazon. We used chronosequences of Landsat satellite imagery (Landsat 5 Thematic Mapper and Landsat 7 Enhanced Thematic Mapper Plus) to determine the sensitivity of surface reflectance from all spectral bands to windthrow, clear-cut, and clear-cut and burned (cut+burn) and their successional pathways of forest regrowth in the Central Amazon. We also assessed whether the forest demography model Functionally Assembled Terrestrial Ecosystem Simulator (FATES) implemented in the Energy Exascale Earth System Model (E3SM) Land Model (ELM), ELM-FATES, accurately represents the changes for windthrow and clear-cut. The results show that all spectral bands from the Landsat satellites were sensitive to the disturbances but after 3 to 6 years only the near-infrared (NIR) band had significant changes associated with the successional pathways of forest regrowth for all the disturbances considered. In general, the NIR values decreased immediately after disturbance, increased to maximum values with the establishment of pioneers and early successional tree species, and then decreased slowly and almost linearly to pre-disturbance conditions with the dynamics of forest succession. Statistical methods predict that NIR values will return to pre-disturbance values in about 39, 36, and 56 years for windthrow, clear-cut, and cut+burn d... Mostrar Tudo |
Palavras-Chave: |
Regeneração florestal. |
Thesaurus NAL: |
Amazonia; Regrowth; Tropical forests. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1159730/1/Landsat-near-infrared.pdf
|
Marc: |
LEADER 03224naa a2200277 a 4500 001 2159730 005 2023-12-14 008 2020 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.5194/bg-17-6185-2020$2DOI 100 1 $aNEGRÓN-JUÁREZ, R. I. 245 $aLandsat near-infrared (NIR) band and ELM-FATES sensitivity to forest disturbances and regrowth in the Central Amazon.$h[electronic resource] 260 $c2020 520 $aForest disturbance and regrowth are key processes in forest dynamics, but detailed information on these processes is difficult to obtain in remote forests such as the Amazon. We used chronosequences of Landsat satellite imagery (Landsat 5 Thematic Mapper and Landsat 7 Enhanced Thematic Mapper Plus) to determine the sensitivity of surface reflectance from all spectral bands to windthrow, clear-cut, and clear-cut and burned (cut+burn) and their successional pathways of forest regrowth in the Central Amazon. We also assessed whether the forest demography model Functionally Assembled Terrestrial Ecosystem Simulator (FATES) implemented in the Energy Exascale Earth System Model (E3SM) Land Model (ELM), ELM-FATES, accurately represents the changes for windthrow and clear-cut. The results show that all spectral bands from the Landsat satellites were sensitive to the disturbances but after 3 to 6 years only the near-infrared (NIR) band had significant changes associated with the successional pathways of forest regrowth for all the disturbances considered. In general, the NIR values decreased immediately after disturbance, increased to maximum values with the establishment of pioneers and early successional tree species, and then decreased slowly and almost linearly to pre-disturbance conditions with the dynamics of forest succession. Statistical methods predict that NIR values will return to pre-disturbance values in about 39, 36, and 56 years for windthrow, clear-cut, and cut+burn disturbances, respectively. The NIR band captured the observed, and different, successional pathways of forest regrowth after windthrow, clear-cut, and cut+burn. Consistent with inferences from the NIR observations, ELM-FATES predicted higher peaks of biomass and stem density after clear-cuts than after windthrows. ELM-FATES also predicted recovery of forest structure and canopy coverage back to pre-disturbance conditions in 38 years after windthrows and 41 years after clear-cut. The similarity of ELM-FATES predictions of regrowth patterns after windthrow and clear-cut to those of the NIR results suggests the NIR band can be used to benchmark forest regrowth in ecosystem models. Our results show the potential of Landsat imagery data for mapping forest regrowth from different types of disturbances, benchmarking, and the improvement of forest regrowth models. 650 $aAmazonia 650 $aRegrowth 650 $aTropical forests 653 $aRegeneração florestal 700 1 $aHOLM, J. A. 700 1 $aFAYBISHENKO, B. 700 1 $aMAGNABOSCO-MARRA, D. 700 1 $aFISHER, R. A. 700 1 $aSHUMAN, J. K. 700 1 $aARAUJO, A. C. de 700 1 $aRILEY, W. J. 700 1 $aCHAMBERS, J. Q. 773 $tBiogeosciences$gv. 17, n. 23, p. 6185-6205, 2020.
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