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 | Acesso ao texto completo restrito à biblioteca da Embrapa Florestas. Para informações adicionais entre em contato com cnpf.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Florestas. |
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Data corrente: |
03/01/2022 |
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Data da última atualização: |
14/02/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
MARCON, A. K.; MARTINS, K. G.; BOTOSSO, P. C.; LONGHI-SANTOS, T.; BLUM, C. T.; GALVÃO, F. |
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Afiliação: |
AMANDA KOCHE MARCON, UFPR; KELLY GERONAZZO MARTINS, UNIOESTE; PAULO CESAR BOTOSSO, CNPF; TOMAZ LONGHI-SANTOS, UFPR; CHRISTOPHER THOMAS BLUM, UFPR; FRANKLIN GALVÃO, UFPR. |
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Título: |
Growth ring response of two Atlantic Forest tree species pre- and post-dam operation in Southern Brazil. |
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Ano de publicação: |
2022 |
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Fonte/Imprenta: |
Dendrochronologia, v. 71, 125917, Feb. 2022. 10 p. |
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Idioma: |
Inglês |
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Conteúdo: |
Hydropower plants are important sources of renewable energy, but the climatic impacts of their constructions remain poorly explored. Considering that tree growth analysis is a useful tool to identify environmental impacts, this study aimed at using climate records and tree-ring chronologies to understand possible local climate changes caused by the construction of a hydropower plant in the 1980s in the State of Paran´a, Southern Brazil. Historical climatic data were obtained from the local meteorological station and surrounding municipalities and analyzed using ANOVA and means tests. The Pettitt test was additionally used to identify change-points in the meteorological data. Wood samples from a total of 60 trees from Araucaria angustifolia (Bertol.) Kuntze (Araucariaceae) and Cedrela fissilis Vell. (Meliaceae) were collected, and tree-ring chronologies were built using dendrochronological standard procedures. Chronologies for A. angustifolia and C. fissilis represented time periods from 1800 to 2016 and 1899?2015, respectively. Tree-ring growth responses to climatic variables were evaluated by adjusting generalized mixed linear models and the Spearman correlations. Our results evidenced that the hydropower plant altered the local climate, mostly influencing the hydrological cycle by increasing local rainfall, with monthly rain volumes being statistically higher than in other meteorological stations. Significant responses in the growth of A. angustifolia were found to be associated with the water level increase caused by the dam and of C. fissilis due to the increase in cloud cover. MenosHydropower plants are important sources of renewable energy, but the climatic impacts of their constructions remain poorly explored. Considering that tree growth analysis is a useful tool to identify environmental impacts, this study aimed at using climate records and tree-ring chronologies to understand possible local climate changes caused by the construction of a hydropower plant in the 1980s in the State of Paran´a, Southern Brazil. Historical climatic data were obtained from the local meteorological station and surrounding municipalities and analyzed using ANOVA and means tests. The Pettitt test was additionally used to identify change-points in the meteorological data. Wood samples from a total of 60 trees from Araucaria angustifolia (Bertol.) Kuntze (Araucariaceae) and Cedrela fissilis Vell. (Meliaceae) were collected, and tree-ring chronologies were built using dendrochronological standard procedures. Chronologies for A. angustifolia and C. fissilis represented time periods from 1800 to 2016 and 1899?2015, respectively. Tree-ring growth responses to climatic variables were evaluated by adjusting generalized mixed linear models and the Spearman correlations. Our results evidenced that the hydropower plant altered the local climate, mostly influencing the hydrological cycle by increasing local rainfall, with monthly rain volumes being statistically higher than in other meteorological stations. Significant responses in the growth of A. angustifolia were found to be asso... Mostrar Tudo |
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Palavras-Chave: |
Araucaria rainforest; Dendrocronologia; Dendroecologia; Dendroecology; Floresta úmida; Growth modeling; Hydropower plant impact. |
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Thesaurus Nal: |
Climate change; Dendrochronology. |
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Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
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Marc: |
LEADER 02461naa a2200289 a 4500
001 2138662
005 2022-02-14
008 2022 bl uuuu u00u1 u #d
100 1 $aMARCON, A. K.
245 $aGrowth ring response of two Atlantic Forest tree species pre- and post-dam operation in Southern Brazil.$h[electronic resource]
260 $c2022
520 $aHydropower plants are important sources of renewable energy, but the climatic impacts of their constructions remain poorly explored. Considering that tree growth analysis is a useful tool to identify environmental impacts, this study aimed at using climate records and tree-ring chronologies to understand possible local climate changes caused by the construction of a hydropower plant in the 1980s in the State of Paran´a, Southern Brazil. Historical climatic data were obtained from the local meteorological station and surrounding municipalities and analyzed using ANOVA and means tests. The Pettitt test was additionally used to identify change-points in the meteorological data. Wood samples from a total of 60 trees from Araucaria angustifolia (Bertol.) Kuntze (Araucariaceae) and Cedrela fissilis Vell. (Meliaceae) were collected, and tree-ring chronologies were built using dendrochronological standard procedures. Chronologies for A. angustifolia and C. fissilis represented time periods from 1800 to 2016 and 1899?2015, respectively. Tree-ring growth responses to climatic variables were evaluated by adjusting generalized mixed linear models and the Spearman correlations. Our results evidenced that the hydropower plant altered the local climate, mostly influencing the hydrological cycle by increasing local rainfall, with monthly rain volumes being statistically higher than in other meteorological stations. Significant responses in the growth of A. angustifolia were found to be associated with the water level increase caused by the dam and of C. fissilis due to the increase in cloud cover.
650 $aClimate change
650 $aDendrochronology
653 $aAraucaria rainforest
653 $aDendrocronologia
653 $aDendroecologia
653 $aDendroecology
653 $aFloresta úmida
653 $aGrowth modeling
653 $aHydropower plant impact
700 1 $aMARTINS, K. G.
700 1 $aBOTOSSO, P. C.
700 1 $aLONGHI-SANTOS, T.
700 1 $aBLUM, C. T.
700 1 $aGALVÃO, F.
773 $tDendrochronologia$gv. 71, 125917, Feb. 2022. 10 p.
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Registro original: |
Embrapa Florestas (CNPF) |
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Biblioteca(s): |
Embrapa Agricultura Digital; Embrapa Trigo. |
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Data corrente: |
28/09/2018 |
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Data da última atualização: |
28/09/2018 |
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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: |
BARBEDO, J. G. A.; GUARIENTI, E. M.; TIBOLA, C. S. |
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Afiliação: |
JAYME G.A. BARBEDO; ELIANA MARIA GUARIENTI, CNPT; CASIANE SALETE TIBOLA, CNPT. |
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Título: |
Detection of sprout damage in wheat kernels using NIR hyperspectral imaging. |
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Ano de publicação: |
2018 |
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Fonte/Imprenta: |
Biosystems Engineering, v. 175, p. 124-132, 2018. |
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ISSN: |
1537-5110 |
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DOI: |
https://doi.org/10.1016/j.biosystemseng.2018.09.012 |
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Idioma: |
Inglês
Português |
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Conteúdo: |
The use of near-infrared (NIR) hyperspectral imaging (HSI) for detecting sprout damage in wheat kernels was investigated. Experiments were carried out to determine which spectral bands had the best potential for discriminating between sound and sprouted kernels. Two wavelengths were selected and combined into an index that was used to indicate the presence or absence of sprouting. Experiments with three wheat cultivars revealed that the proposed method is effective in identifying kernels for which the germination process has initiated, achieving 100% accuracy for the samples used in this study. It was also observed an imperfect correlation with the Falling Number (grain quality), making it challenging to accurately determine the degree of germination, especially if sprouts are not yet clearly visible. These results confirm the usefulness of the near-infrared spectral range for detecting chemical alterations in wheat kernels, as well as the fact that most information is usually contained in a few specific bands within such range. |
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Palavras-Chave: |
Germinação pré-colheita; Hyperspectral imaging; Image processing; Processamento de imagem; Sprout damage. |
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Thesagro: |
Germinação; Trigo. |
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Thesaurus NAL: |
Germination; Image analysis; Wheat. |
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Categoria do assunto: |
--
X Pesquisa, Tecnologia e Engenharia |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/183708/1/ID44366-2018v175p124BiosystEng.pdf
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Marc: |
LEADER 01898naa a2200289 a 4500
001 2096599
005 2018-09-28
008 2018 bl uuuu u00u1 u #d
022 $a1537-5110
024 7 $ahttps://doi.org/10.1016/j.biosystemseng.2018.09.012$2DOI
100 1 $aBARBEDO, J. G. A.
245 $aDetection of sprout damage in wheat kernels using NIR hyperspectral imaging.$h[electronic resource]
260 $c2018
520 $aThe use of near-infrared (NIR) hyperspectral imaging (HSI) for detecting sprout damage in wheat kernels was investigated. Experiments were carried out to determine which spectral bands had the best potential for discriminating between sound and sprouted kernels. Two wavelengths were selected and combined into an index that was used to indicate the presence or absence of sprouting. Experiments with three wheat cultivars revealed that the proposed method is effective in identifying kernels for which the germination process has initiated, achieving 100% accuracy for the samples used in this study. It was also observed an imperfect correlation with the Falling Number (grain quality), making it challenging to accurately determine the degree of germination, especially if sprouts are not yet clearly visible. These results confirm the usefulness of the near-infrared spectral range for detecting chemical alterations in wheat kernels, as well as the fact that most information is usually contained in a few specific bands within such range.
650 $aGermination
650 $aImage analysis
650 $aWheat
650 $aGerminação
650 $aTrigo
653 $aGerminação pré-colheita
653 $aHyperspectral imaging
653 $aImage processing
653 $aProcessamento de imagem
653 $aSprout damage
700 1 $aGUARIENTI, E. M.
700 1 $aTIBOLA, C. S.
773 $tBiosystems Engineering$gv. 175, p. 124-132, 2018.
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