1,716 research outputs found

    Levantamento Florístico de Macroalgas dos Riachos da Bacia do Paraná 3

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    Trabalho de Conclus√£o de Curso apresentado ao Instituto Latino-Americano de Ci√™ncias da Vida e Natureza da Universidade Federal da Integra√ß√£o Latino-Americana, como requisito parcial √† obten√ß√£o do t√≠tulo de Bacharel em Ci√™ncias Biol√≥gicas ‚Äď Ecologia e Biodiversidade.O principal objetivo do presente trabalho foi contribuir com o conhecimento da biodiversidade de macroalgas no Sul do pa√≠s, atrav√©s de um estudo nos riachos da Bacia Hidrogr√°fica do Paran√° 3, localizada no estado do Paran√°. Foram feitas duas coletas em dois diferentes per√≠odos de tempo amostrando 13 pontos no total em cada campanha amostral. As coletas dos organismos foram feitas atrav√©s do m√©todo de transec√ß√£o com varredura, onde as esp√©cies foram posteriormente fixadas em formalde√≠do 4%, analisadas e fotodocumentadas em laborat√≥rio no menor n√≠vel taxon√īmico poss√≠vel. No total foram identificadas 19 esp√©cies, circunscritas em 5 filos, todas apresentando descri√ß√Ķes, medidas e distribui√ß√£o dentro da BP3, onde as divis√Ķes mais representadas foram Chlorophyta (26,32%) e Bacillaryophyta (21,05%). As esp√©cies mais frequentes nas amostras foram Arnoldiella emedii e Pleurosira laevis. Do total dos t√°xons amostrados neste estudo, dois consistem em novos registros para a regi√£o, e possivelmente novas esp√©cies, sendo essas Planktothrix sp. e Stigeoclonium sp. Apesar da regi√£o oeste do Paran√° possuir um relevante n√ļmero de estudos sobre macroalgas, os resultados obtidos neste trabalho refor√ßam a import√Ęncia de levantamentos taxon√īmicos como contribui√ß√£o para o registro da biodiversidade e conhecimento do grupo

    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‚Äď7 vast areas of the tropics remain understudied.8‚Äď11 In the American tropics, Amazonia stands out as the world‚Äôs 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‚Äď15 To worsen this situation, human-induced modifications16,17 may elim inate pieces of the Amazon‚Äôs 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‚Äôs vulnerability to environmental change. 15%‚Äď18% 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

    Get PDF

    Pervasive gaps in Amazonian ecological research

    Get PDF
    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%‚Äď18% 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

    Tema e variantes do mito: sobre a morte e a ressurreição do boi

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    Les droits disciplinaires des fonctions publiques : ¬ę unification ¬Ľ, ¬ę harmonisation ¬Ľ ou ¬ę distanciation ¬Ľ. A propos de la loi du 26 avril 2016 relative √† la d√©ontologie et aux droits et obligations des fonctionnaires

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    The production of tt‚Äĺ , W+bb‚Äĺ and W+cc‚Äĺ is studied in the forward region of proton‚Äďproton collisions collected at a centre-of-mass energy of 8 TeV by the LHCb experiment, corresponding to an integrated luminosity of 1.98¬Ī0.02¬†fb‚ąí1 . The W bosons are reconstructed in the decays W‚Üí‚ĄďőĹ , where ‚Ąď denotes muon or electron, while the b and c quarks are reconstructed as jets. All measured cross-sections are in agreement with next-to-leading-order Standard Model predictions.The production of tt‚Äĺt\overline{t}, W+bb‚ÄĺW+b\overline{b} and W+cc‚ÄĺW+c\overline{c} is studied in the forward region of proton-proton collisions collected at a centre-of-mass energy of 8 TeV by the LHCb experiment, corresponding to an integrated luminosity of 1.98 ¬Ī\pm 0.02 \mbox{fb}^{-1}. The WW bosons are reconstructed in the decays W‚Üí‚ĄďőĹW\rightarrow\ell\nu, where ‚Ąď\ell denotes muon or electron, while the bb and cc quarks are reconstructed as jets. All measured cross-sections are in agreement with next-to-leading-order Standard Model predictions

    Differential cross section measurements for the production of a W boson in association with jets in proton‚Äďproton collisions at ‚ąös = 7 TeV