Saque e assassinato: a violência contra a mulher no filme Grito da terra

Partindo do duplo lugar de gênero construído pelas personagens de Mariá e de Lóli, no filme O Grito da Terra (1964), de Olney São Paulo, o presente artigo discute a violência contra a mulher como signo tanto da permanência das relações articuladas com a tradição familiar, quanto da opressão sofrida pelas duas famílias de pequenos agricultores moradores de uma região pobre do Brasil que não havia conhecido modernização, diante do poder local dos grandes proprietários de terra. Produzido em contexto de autoritarismo de Estado, o argumento sobre o lugar da violência contra as mulheres no filme não se encontra dissociado da história, da cultura e da vida política do país, mas torna visível uma violência estrutural sobre os subalternos, que não tinham sido reconhecidos pelo processo encampado pela ditadura militar, pelos movimentos de crítica ao regime sobretudo via cinema, e pela implantação da indústria cultural. Nesse aparente vazio que se abre pelo não reconhecimento deste outro habitante pobre e mulher de tal região, levando em conta as diferentes trajetórias de vida construídas no filme pelas relações que tais mulheres travam ao longo da narrativa, interessam os significados e valores postos em circulação nas relações deste corpo feminino com as forças políticas da região, tais como o Coronel Sebastião dono de terra, o professor, além, mais estritamente falando, das relações domésticas das personagens com Apolinário, pai de Mariá, e Silvério, de Lóli

Cinema brasileiro subalterno contemporâneo

O artigo se debruça sobre as construções da violência e suas relações com o presídio e o tráfico de drogas no cinema brasileiro produzido em 2010, em uma perspectiva histórica com os filmes sobre o tema lançados no final da década de 1990 e início dos anos 2000. Partindo da reconfiguração nos lugares de fala no cinema brasileiro nos anos 2010, tornado possível pela mudança nas políticas culturais e de financiamento ao cinema nos anos 2000, é possível identificar uma mudança de olhar sobre a violência na periferia e no presídio quando comparados aos filmes produzidos na Retomada e Pós-retomada do cinema brasileiro. Para tanto, elegemos Arábia (2017), de Affonso Uchoa e João Dumans, e A vizinhança do tigre (2014), de Affonso Uchoa, como corpus principal da analise comparada com Carandiru (2003), de Hector Babenco, e Notícias de uma guerra particular (1999), de João Moreira Salles e Kátia Lund. Tendo em vista o paralelo histórico proposto, utilizamos o método genealógico elaborado por Michel Foucault (2016), o qual oferece categorias para a análise do dentro e fora do filme, articulando o registro micro do audiovisual com suas condições de possibilidade histórico-políticas. Através da análise dos filmes, concluímos que Arábia e A vizinhança do tigre se desvinculam do apelo da violência dado à periferia na década anterior, para tratar das estratégias de vida dos personagens diante da estruturação violenta do poder, tendo na luta travada cotidianamente para sobreviver e a possibilidade de sonhar com outros mundos possíveis a temática central dos filmes

Trajetórias da Educomunicação nas Políticas Públicas e a Formação de seus Profissionais

Esta obra é composta com os trabalhos apresentados no primeiro subtema, TRAJETÓRIA – Educação para a Comunicação como Política pública, nas perspectivas da Educomunicação e da Mídia-Educação, do II Congresso Internacional de Comunicação e Educação. Os artigos pretendem propiciar trocas de informações e produzir reflexões com os leitores sobre os caminhos percorridos, e ainda a percorrer, tendo como meta a expansão e a legitimação das práticas educomunicativas e/ou mídia-educativas como política pública para o atendimento à formação de crianças, adolescentes, jovens e adultos, no Brasil e no mundo

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

ATLANTIC EPIPHYTES: a data set of vascular and non-vascular epiphyte plants and lichens from the Atlantic Forest

Epiphytes are hyper-diverse and one of the frequently undervalued life forms in plant surveys and biodiversity inventories. Epiphytes of the Atlantic Forest, one of the most endangered ecosystems in the world, have high endemism and radiated recently in the Pliocene. We aimed to (1) compile an extensive Atlantic Forest data set on vascular, non-vascular plants (including hemiepiphytes), and lichen epiphyte species occurrence and abundance; (2) describe the epiphyte distribution in the Atlantic Forest, in order to indicate future sampling efforts. Our work presents the first epiphyte data set with information on abundance and occurrence of epiphyte phorophyte species. All data compiled here come from three main sources provided by the authors: published sources (comprising peer-reviewed articles, books, and theses), unpublished data, and herbarium data. We compiled a data set composed of 2,095 species, from 89,270 holo/hemiepiphyte records, in the Atlantic Forest of Brazil, Argentina, Paraguay, and Uruguay, recorded from 1824 to early 2018. Most of the records were from qualitative data (occurrence only, 88%), well distributed throughout the Atlantic Forest. For quantitative records, the most common sampling method was individual trees (71%), followed by plot sampling (19%), and transect sampling (10%). Angiosperms (81%) were the most frequently registered group, and Bromeliaceae and Orchidaceae were the families with the greatest number of records (27,272 and 21,945, respectively). Ferns and Lycophytes presented fewer records than Angiosperms, and Polypodiaceae were the most recorded family, and more concentrated in the Southern and Southeastern regions. Data on non-vascular plants and lichens were scarce, with a few disjunct records concentrated in the Northeastern region of the Atlantic Forest. For all non-vascular plant records, Lejeuneaceae, a family of liverworts, was the most recorded family. We hope that our effort to organize scattered epiphyte data help advance the knowledge of epiphyte ecology, as well as our understanding of macroecological and biogeographical patterns in the Atlantic Forest. No copyright restrictions are associated with the data set. Please cite this Ecology Data Paper if the data are used in publication and teaching events. © 2019 The Authors. Ecology © 2019 The Ecological Society of Americ

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