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Registro Completo |
Biblioteca(s): |
Embrapa Agroindústria Tropical; Embrapa Soja. |
Data corrente: |
06/12/2023 |
Data da última atualização: |
17/01/2024 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Autoria: |
LIRA, S. M.; HOLANDA, M. O.; SILVA, J. Y. G. DA; MARQUES, C. G.; COELHO, L. C.; LIMA, C. L. S.; COSTA, J. T. G.; DANTAS, J. B.; MACIEL, G. L.; SILVA, G. S. DA; SANTOS, G. B. M.; ZOCOLO, G. J.; DIONISIO, A. P.; GUEDES, M. I. F. |
Afiliação: |
SANDRA MACHADO LIRA, UNIVERSIDADE ESTADUAL DO CEARÁ; MARCELO OLIVEIRA HOLANDA, UNIVERSIDADE ESTADUAL DO CEARÁ; JOSÉ YTALO GOMES DA SILVA, UNIVERSIDADE ESTADUAL DO CEARÁ; CHAYANE GOMES MARQUES, UNIVERSIDADE ESTADUAL DO CEARÁ; LIA CORRÊA COELHO, UNIVERSIDADE ESTADUAL DO CEARÁ; CARLA LAÍNE SILVA LIMA, UNIVERSIDADE ESTADUAL DO CEARÁ; JOANA TALITA GALDINO COSTA, UNIVERSIDADE ESTADUAL DO CEARÁ; JULIANA BARBOSA DANTAS, UNIVERSIDADE ESTADUAL DO CEARÁ; GLADSTONE LIMA MACIEL, UNIVERSIDADE ESTADUAL DO CEARÁ; GISELE SILVESTRE DA SILVA, EMBRAPA AGROINDÚSTRIA TROPICAL; GLAUBER BATISTA MOREIRA SANTOS, UNIVERSIDADE FEDERAL DO CEARÁ; GUILHERME JULIAO ZOCOLO, CNPSO; ANA PAULA DIONISIO, CNPAT; MARIA IZABEL FLORINDO GUEDES, UNIVERSIDADE ESTADUAL DO CEARÁ. |
Título: |
Pitaya [Hylocereus polyrhizus (F.A.C. Weber) Britton & Rose] effect on glycemia and oxidative stress in aloxan-induced diabetic mice. |
Ano de publicação: |
2023 |
Fonte/Imprenta: |
Food Science and Technology, v. 43, e56822, 2023. |
Páginas: |
9 p. |
DOI: |
10.1590/fst.56822 |
Idioma: |
Inglês |
Palavras-Chave: |
Estresse oxidativo. |
Thesagro: |
Pitaya. |
Thesaurus Nal: |
Diabetes mellitus; Hylocereus polyrhizus; Oxidative stress. |
Categoria do assunto: |
-- X Pesquisa, Tecnologia e Engenharia |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1159218/1/ART-23032.pdf
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Marc: |
LEADER 01043naa a2200349 a 4500 001 2160918 005 2024-01-17 008 2023 bl uuuu u00u1 u #d 024 7 $a10.1590/fst.56822$2DOI 100 1 $aLIRA, S. M. 245 $aPitaya [Hylocereus polyrhizus (F.A.C. Weber) Britton & Rose] effect on glycemia and oxidative stress in aloxan-induced diabetic mice.$h[electronic resource] 260 $c2023 300 $a9 p. 650 $aDiabetes mellitus 650 $aHylocereus polyrhizus 650 $aOxidative stress 650 $aPitaya 653 $aEstresse oxidativo 700 1 $aHOLANDA, M. O. 700 1 $aSILVA, J. Y. G. DA 700 1 $aMARQUES, C. G. 700 1 $aCOELHO, L. C. 700 1 $aLIMA, C. L. S. 700 1 $aCOSTA, J. T. G. 700 1 $aDANTAS, J. B. 700 1 $aMACIEL, G. L. 700 1 $aSILVA, G. S. DA 700 1 $aSANTOS, G. B. M. 700 1 $aZOCOLO, G. J. 700 1 $aDIONISIO, A. P. 700 1 $aGUEDES, M. I. F. 773 $tFood Science and Technology$gv. 43, e56822, 2023.
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Registro original: |
Embrapa Soja (CNPSO) |
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| Acesso ao texto completo restrito à biblioteca da Embrapa Acre. Para informações adicionais entre em contato com cpafac.biblioteca@embrapa.br. |
Registro Completo
Biblioteca(s): |
Embrapa Acre. |
Data corrente: |
14/11/2014 |
Data da última atualização: |
01/09/2021 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
ANDERSEN, H. E.; REUTEBUCH, S. E.; McGAUGHEY, R. J.; OLIVEIRA, M. V. N. d'.; KELLER, M. |
Afiliação: |
Hans-Erik Andersen, USDA Forest Service; Stephen E. Reutebuch, USDA Forest Service; Robert J.McGaughey, USDA Forest Service; MARCUS VINICIO NEVES D OLIVEIRA, CPAF-AC; Michael Keller, USDA Forest Service. |
Título: |
Monitoring selective logging in western Amazonia with repeat lidar flights. |
Ano de publicação: |
2014 |
Fonte/Imprenta: |
Remote Sensing of Environment, v. 151, p. 157-165, Aug. 2014. |
DOI: |
10.1016/j.rse.2013.08.049 |
Idioma: |
Inglês |
Conteúdo: |
The objective of this study was to test the use of repeat flight, airborne laser scanning data (lidar) for estimating changes associatedwith low-impact selective logging (approx. 10-15 m3 ha-1 = 5-7% of total standing volume harvested) in natural tropical forests in the Western Brazilian Amazon. Specifically, we investigated change in area impacted by selective logging, change in tall canopy (30 m+) area, change in lidar canopy structuremetrics, and change in above ground biomass (AGB) using a model-based statistical framework. Ground plot measurements were only available from the time of the 2010 lidar acquisition. A simple differencing of the 2010 and 2011 lidar canopy height models identified areas where canopy over 30 m tall had been removed. Area of tall canopy dropped from 22.8% in 2010 to 18.7% in 2011, a reduction of 4.1%. Using a relative density model (RDM) technique the increase in area of roads, skidtrails, landings, and felled tree gaps was estimated to be 17.1%. A lidar-based regression model for estimating AGB was developed using lidar metrics from the 2010 lidar acquisition and corresponding AGB ground plot measurements. The estimator was then used to compute AGB estimates for the site in 2010 and 2011 using the 2010 and 2011 lidar acquisition data, respectively. A model-based statistical approach was then used to estimate the uncertainty of the changes in AGB between the acquisitions. Change in RDMs between lidar acquisitions was used to classify each 50 m cell in the study area as impacted or non-impacted by logging. The change in mean AGB for the entire study area was −9.1 Mg ha−1 ± 1.9 (mean ± SD) (P-value b 0.0001). The change in mean AGB for areas newly impacted in 2011 was −17.9 ± 3.1 Mg ha−1 (P-value b 0.0001) while the change in mean AGB for non-impacted areaswas significantly less at-2.6 ± 1.1 Mg ha−1 (P-value = 0.009). These results provide corroborating evidence of the spatial extent and magnitude of change due to low-intensity logging in tropical forests with heavy residual canopy cover. MenosThe objective of this study was to test the use of repeat flight, airborne laser scanning data (lidar) for estimating changes associatedwith low-impact selective logging (approx. 10-15 m3 ha-1 = 5-7% of total standing volume harvested) in natural tropical forests in the Western Brazilian Amazon. Specifically, we investigated change in area impacted by selective logging, change in tall canopy (30 m+) area, change in lidar canopy structuremetrics, and change in above ground biomass (AGB) using a model-based statistical framework. Ground plot measurements were only available from the time of the 2010 lidar acquisition. A simple differencing of the 2010 and 2011 lidar canopy height models identified areas where canopy over 30 m tall had been removed. Area of tall canopy dropped from 22.8% in 2010 to 18.7% in 2011, a reduction of 4.1%. Using a relative density model (RDM) technique the increase in area of roads, skidtrails, landings, and felled tree gaps was estimated to be 17.1%. A lidar-based regression model for estimating AGB was developed using lidar metrics from the 2010 lidar acquisition and corresponding AGB ground plot measurements. The estimator was then used to compute AGB estimates for the site in 2010 and 2011 using the 2010 and 2011 lidar acquisition data, respectively. A model-based statistical approach was then used to estimate the uncertainty of the changes in AGB between the acquisitions. Change in RDMs between lidar acquisitions was used to classify each 50 m c... Mostrar Tudo |
Palavras-Chave: |
Acre; Amazonia Occidental; Amazônia Ocidental; Explotación forestal; Extração seletiva de madeira; Factores ambientales; Floresta Estadual do Antimary (AC); Geotécnica; Monitoramento ambiental; Teledetección; Western Amazon. |
Thesagro: |
Condição ambiental; Extração da madeira; Floresta tropical; Impacto ambiental; Raio laser; Sensoriamento remoto. |
Thesaurus NAL: |
Amazonía; Environmental factors; Environmental impact; Lásers; Lidar; Logging; Remote sensing. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
Marc: |
LEADER 03454naa a2200469 a 4500 001 2000225 005 2021-09-01 008 2014 bl uuuu u00u1 u #d 024 7 $a10.1016/j.rse.2013.08.049$2DOI 100 1 $aANDERSEN, H. E. 245 $aMonitoring selective logging in western Amazonia with repeat lidar flights.$h[electronic resource] 260 $c2014 520 $aThe objective of this study was to test the use of repeat flight, airborne laser scanning data (lidar) for estimating changes associatedwith low-impact selective logging (approx. 10-15 m3 ha-1 = 5-7% of total standing volume harvested) in natural tropical forests in the Western Brazilian Amazon. Specifically, we investigated change in area impacted by selective logging, change in tall canopy (30 m+) area, change in lidar canopy structuremetrics, and change in above ground biomass (AGB) using a model-based statistical framework. Ground plot measurements were only available from the time of the 2010 lidar acquisition. A simple differencing of the 2010 and 2011 lidar canopy height models identified areas where canopy over 30 m tall had been removed. Area of tall canopy dropped from 22.8% in 2010 to 18.7% in 2011, a reduction of 4.1%. Using a relative density model (RDM) technique the increase in area of roads, skidtrails, landings, and felled tree gaps was estimated to be 17.1%. A lidar-based regression model for estimating AGB was developed using lidar metrics from the 2010 lidar acquisition and corresponding AGB ground plot measurements. The estimator was then used to compute AGB estimates for the site in 2010 and 2011 using the 2010 and 2011 lidar acquisition data, respectively. A model-based statistical approach was then used to estimate the uncertainty of the changes in AGB between the acquisitions. Change in RDMs between lidar acquisitions was used to classify each 50 m cell in the study area as impacted or non-impacted by logging. The change in mean AGB for the entire study area was −9.1 Mg ha−1 ± 1.9 (mean ± SD) (P-value b 0.0001). The change in mean AGB for areas newly impacted in 2011 was −17.9 ± 3.1 Mg ha−1 (P-value b 0.0001) while the change in mean AGB for non-impacted areaswas significantly less at-2.6 ± 1.1 Mg ha−1 (P-value = 0.009). These results provide corroborating evidence of the spatial extent and magnitude of change due to low-intensity logging in tropical forests with heavy residual canopy cover. 650 $aAmazonía 650 $aEnvironmental factors 650 $aEnvironmental impact 650 $aLásers 650 $aLidar 650 $aLogging 650 $aRemote sensing 650 $aCondição ambiental 650 $aExtração da madeira 650 $aFloresta tropical 650 $aImpacto ambiental 650 $aRaio laser 650 $aSensoriamento remoto 653 $aAcre 653 $aAmazonia Occidental 653 $aAmazônia Ocidental 653 $aExplotación forestal 653 $aExtração seletiva de madeira 653 $aFactores ambientales 653 $aFloresta Estadual do Antimary (AC) 653 $aGeotécnica 653 $aMonitoramento ambiental 653 $aTeledetección 653 $aWestern Amazon 700 1 $aREUTEBUCH, S. E. 700 1 $aMcGAUGHEY, R. J. 700 1 $aOLIVEIRA, M. V. N. d'. 700 1 $aKELLER, M. 773 $tRemote Sensing of Environment$gv. 151, p. 157-165, Aug. 2014.
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