19 research outputs found

    Pequena crônica jesuítica do século XVI

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    Não seja embora inédito o presente manuscrito, nem por isso deixa de ser curioso e, quiçá, útil, no que se refere à forma ou mes-mo à substância da primitiva historiografia do Brasil

    Da utilidade da HistĂłria

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    Tenho que confessar de início que não foi sem certo temor que abordei o assunto e escolhi a epígrafe. Pareceu-me mesmo temerário semelhante tema, vivendo eu num tempo em que a utilidade das coisas parece medir-se por um único padrão.

    Língua: Instrumento de colonização

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    A linguagem, como elemento de comunicação, foi sempre fator indispensável nas relações entre os homens (1) .Por todos os tempos se poderia fazer esta afirmação e a História é particularmente rica para ilustrá-la

    Anotação a uma nota ou "O insucesso de Napoleão..."

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     "... Estudo do insucesso de Napoleão em Portugal" é, indubitavelmente, um tema de História que pode designar-se de português e que, necessàriamente, engloba personagens franceses.

    Pervasive gaps in Amazonian ecological research

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    Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear un derstanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5–7 vast areas of the tropics remain understudied.8–11 In the American tropics, Amazonia stands out as the world’s most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepre sented in biodiversity databases.13–15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon’s biodiversity puzzle before we can use them to understand how ecological com munities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple or ganism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region’s vulnerability to environmental change. 15%–18% of the most ne glected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lostinfo:eu-repo/semantics/publishedVersio

    Pervasive gaps in Amazonian ecological research

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    Pervasive gaps in Amazonian ecological research

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    Biodiversity loss is one of the main challenges of our time,1,2 and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space.3,4 While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes,5,6,7 vast areas of the tropics remain understudied.8,9,10,11 In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity,12 but it remains among the least known forests in America and is often underrepresented in biodiversity databases.13,14,15 To worsen this situation, human-induced modifications16,17 may eliminate pieces of the Amazon's biodiversity puzzle before we can use them to understand how ecological communities are responding. To increase generalization and applicability of biodiversity knowledge,18,19 it is thus crucial to reduce biases in ecological research, particularly in regions projected to face the most pronounced environmental changes. We integrate ecological community metadata of 7,694 sampling sites for multiple organism groups in a machine learning model framework to map the research probability across the Brazilian Amazonia, while identifying the region's vulnerability to environmental change. 15%–18% of the most neglected areas in ecological research are expected to experience severe climate or land use changes by 2050. This means that unless we take immediate action, we will not be able to establish their current status, much less monitor how it is changing and what is being lost

    Resenha de: Grande Enciclopédia Geográfica Mundial

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     DIBO (Dulcídio). — Grande Enciclopédia Geográfica Mundial. Li bra Emprêsa Editorial Ltda. São Paulo. 1968. 4 volumes. 281 + 185 -I- 207 263 páginas. 8 mapas fisico-políticos, 30 mapas gerais, mais 200 mapas específicos, inúmeras fotografias e clichés a côres e em preto e branco, gráficos, tabelas, esquemas. Impressão a côres, com índices gerais, estatistícos e bibliografia.

    Resenha de: Este Nome: Brazil: estudo e ensaio sobre uma restituição etimológica

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    D'AZEVEDO (Adelino José da Silva) . — Este Nome: Brazil — estudo e ensaio sôbre uma restituição etimológica. Lisboa, 1967. Agência Geral do Ultramar. VIII + 474 p. ; 22 estampas
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