Pervasive gaps in Amazonian ecological research

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

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

Pervasive gaps in Amazonian ecological research

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

Guidelines for the implementation of IT Governance in the Brazilian Federal Public Administration based on Institutional Theory

Neste trabalho, foi desenvolvido um conjunto de diretrizes que, de forma sustentável, possibilitam a introdução de boas práticas e procedimentos de governança de TI na administração pública federal (APF), transpondo as dificuldades inerentes aos processos de mudança no setor público. Para tanto, foi estabelecida uma metodologia de pesquisa que contemplou o levantamento bibliográfico dos conceitos de governança corporativa, governança de TI, gerenciamento da área de TI, no âmbito do setor privado e do setor público, e das teorias organizacionais, para identificação de explicações aplicáveis aos processos de mudança no setor público. Também se submeteu um questionário aos gestores de TI das principais organizações da APF, para identificação do nível de conformidade com as recomendações do TCU, consubstanciadas nos acórdãos 1603/2008, 2308/2010 e 2584/2012, e das possíveis causas que levaram ao cumprimento ou descumprimento dessas recomendações. Por fim, estabeleceram-se orientações básicas para implantação da governança de TI no setor público brasileiro, que considerou as características institucionais dos órgãos públicos e a tendência à homogeneização por meio do isomorfismo mimético, normativo e coercitivo, proposto em postulados da Teoria Institucional.En este trabajo fue desarrollado un conjunto de directrices que, de una manera sostenible, posibilita la introducción de mejores prácticas y de procedimientos de gobierno de TI en la APF, trasponiendo las dificultades inherentes a los procesos de cambios en el sector público. Por lo tanto, se estableció una metodología de investigación que incluyó una revisión bibliográ- fica de los conceptos de gobierno corporativo, gobierno de TI, gestión del área de TI, en el sector privado y en el público, y de las teorías de las empresas, para la identificación de las explicaciones aplicables a los procesos de cambio en el sector público. También se presentó un cuestionario a los gestores de TI de los principales organismos de la administración pública federal, para la identificación del nivel de conformidad con las recomendaciones del TCU, consolidadas en las normas 1603/2008, 2308/2010 y 2584/2012, y de las posibles causas que llevaron a su cumplimiento o no. Por último, se establecieron directrices básicas para la implantación del gobierno de TI en el sector público brasileño, que consideró las características institucionales de los organismos públicos y la tendencia a la homogeneización a través de isomorfismo mimético, normativo y coercitivo, postulados propuestos en la teoria institucional.In this work, a set of guidelines for the sustainable implementation of best practices and procedures of IT Governance in the Brazilian Federal Public Administration was developed, overcoming the inherent difficulties found in the change processes of the public sector. In order to accomplish this, a research methodology was defined and it was composed of bibliographic research of the concepts of Corporate Governance, IT Governance, and IT Management, in the scope of the public and private sectors, and of the organizational theories, to help identify explanations for these inherent difficulties. A questionnaire was submitted to IT Managers of Brazilian Federal Public Administration organizations to identify the level of compliance with the recommendations of the Court of Audit, described in the Acórdãos 1603/ 2008, 2308/2010, and 2584/2012, and to identify the possible causes that led to the fulfillment or nonfulfillment of these recommendations. At last, basic guidelines for the implementation of IT Governance in the Brazilian Federal Public Administration were proposed, taking into consideration the institutional characteristics of the public organizations and their tendency to become homogeneous by means of mimetic, normative, and coercive isomorphism, defined by Institutional Theory.Revista do Serviço Público - RSP vol.63, n.4, p.475-497Administração PúblicaTecnologia da Informação. InformáticaISSN eletrônico: 2357-8017 ISSN impresso: 0034-924

O Protagonismo Infantojuvenil nos Processos Educomunicativos

Neste volume “O protagonismo infantojuvenil nos processos educomunicativos”, reunimos 53 artigos que transitam sobre a temática do protagonismo infantojuvenil em diversas experiências e processos educomunicativos e para facilitar sua leitura e busca por temas de seu interesse, eles estão organizados em 8 capítulos que abordam a educomunicação a partir do fazer das crianças e da apropriação da produção midiática. Expressão artística, rádio, vídeo, jornalismo, cultura digital, redes sociais entre outros são os temas abordados pelos autores destes trabalhos. convidamos o leitor a mergulhar nesta jornada educomunicativa, vivendo e revivendo junto conosco essas experiências vividas por outros, refletindo em cada texto sobre como estamos, como evoluímos e como seguimos os passos daqueles que com sua ousadia, amor e luta elaboraram os fundamentos da educomunicação

BioTIME:a database of biodiversity time series for the Anthropocene

Motivation: The BioTIME database contains raw data on species identities and abundances in ecological assemblages through time. These data enable users to calculate temporal trends in biodiversity within and amongst assemblages using a broad range of metrics. BioTIME is being developed as a community led open-source database of biodiversity time series. Our goal is to accelerate and facilitate quantitative analysis of temporal patterns of biodiversity in the Anthropocene.Main types of variables included: The database contains 8,777,413 species abundance records, from assemblages consistently sampled for a minimum of two, which need not necessarily be consecutive. In addition, the database contains metadata relating to sampling methodology andcontextual information about each record.Spatial location and grain: BioTIME is a global database of 547,161 unique sampling locations spanning the marine, freshwater and terrestrial realms. Grain size varies across datasets from 0.0000000158 km2 (158 cm2) to 100 km2 (1 000 000 000 000 cm2).Time period and grain: BioTIME records span from 1874 to 2016. The minimum temporal grain across all datasets in BioTIME is year.Major taxa and level of measurement: BioTIME includes data from 44,440 species across the plant and animal kingdoms, ranging from plants, plankton, and terrestrial invertebrates to small and large vertebrates.Software format: .csv and .SQ