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Amand, Marion; Pelletier, Dominique; Ferrari, Jocelyne; Kulbicki, Michel. |
Marine Protected Areas (MPA) are often contemplated as a tool for the sustainable management of exploited resources and ecosystem conservation. This paper proposes an approach to establish a statistical diagnostic of the effects of MPAs on fish assemblages, and define corresponding ecological indicators. This requires choosing relevant variables (abundance, diversity, demographic parameters..) and appropriate statistical methods. The study was based on data from the Abore reef Reserve in New Caledonia. Two sets of methods: 1-inferential linear models (ANOVA, GLM): 2- Partial Least Squares (PLS) methods of regression, were used to test the effects of this MPA. PLS enabled us to test simultaneously within a model, density, species richness, biomass and mean... |
Tipo: Text |
Palavras-chave: New Caledonia; PLS regression; Ecological indicators; Fishing impact; Coral reef; Fish; Marine Protected Areas. |
Ano: 2004 |
URL: http://archimer.ifremer.fr/doc/2004/publication-398.pdf |
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COSTA, M. C. A.; MATALLO, M. B.; FERREIRA, M. M. C.; QUEIROZ, S. C. do N. de; ALMEIDA, S. D. B.; FRANCO, D. A. S.. |
Abstract: Shikimic acid is a natural organic compound produced in the biochemical pathways of eukaryotic organisms and is generally utilized as a starting material of the antiviral drug Oseltamivir (Tamiflu®). This study shows the results of shikimic acid accumulation in Brachiaria plantaginea, an abundant, grassy plant found in Brazil and other countries in Africa and America, after glyphosate spraying at three different doses. B. plantaginea plants harvested after 6 days of exposure to the herbicide showed that shikimic acid accumulation increased by 345%, on average, compared to unsprayed plants. The combination of near infrared spectroscopy and multivariate analysis using partial least square regression was applied for the quantification of shikimic... |
Tipo: Separatas |
Palavras-chave: NIR spectroscopy; PLS regression; Brachiaria plantaginea; Gramínea; Shikimic acid; Chemometrics. |
Ano: 2016 |
URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1066054 |
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