Os projetos e obras do engenheiro Saturnino de Brito e mudança na paisagem urbana

Nos projetos e obras do engenheiro sanitarista Saturnino de Brito, remarcamos que suas preocupações ultrapassam as questões de salubridade e saneamento. Brito se preocupa também, com a expansão, o embelezamento e o ordenamento espacial das cidades em harmonia com o sítio geográfico. Este artigo visa identificar em que medida os elementos técnicos adotados por Brito, como os canais, equipamentos sanitários, espaços públicos, podem também ser pensados como elementos constitutivos da paisagem e da memória urbana e, por conseguinte enquanto patrimônio, destacando além da reconhecida contribuição de Brito para os estudos de engenharia e urbanismo, sua contribuição para os estudos de paisagem

Justiça, Conflitos Socio-espaciais, Resistência. Resgate Histórico e Construção das Identidades nas Cidades Latinoamericanas / Socio-Spatial Conflicts, Justice, Resistance. Historical Preservation and Construction of Identities in Latin American Cities

Justiça, Conflitos Socio-espaciais, Resistência. Resgate Histórico e Construção das Identidades nas Cidades Latinoamericanas Socio-Spatial Conflicts, Justice, Resistance. Historical Preservation and Construction of Identities in Latin American Citie

Justiça, Conflitos Socio-espaciais, Resistência. Resgate Histórico e Construção das Identidades nas Cidades Latinoamericanas / Socio-Spatial Conflicts, Justice, Resistance. Historical Preservation and Construction of Identities in Latin American Cities

Justiça, Conflitos Socio-espaciais, Resistência. Resgate Histórico e Construção das Identidades nas Cidades Latinoamericanas Socio-Spatial Conflicts, Justice, Resistance. Historical Preservation and Construction of Identities in Latin American Citie

O estado da questão da produção acadêmica recente sobre o urbano nas cidades pequenas: análise de teses e dissertação (2009-2018)

Small cities make up the largest part of the national urban network. Of the 5570 municipalities, 4904 have municipal offices with a population of less than 50 thousand inhabitants, totaling more than 65 million brazilians (IBGE, 2018). Although the classification of a city considering only its population contingent does not show the role and the influence in its urban network, the present article adopts this parameter as a way of bringing to the discussion the recent academic production on the urban in the small population nuclei, that sometimes are as a matter of analysis in favor of medium, large or metropolitan cities. It is proposed to establish the "state of the question" of this perspective, through the cataloging, tabulation and analysis of data obtained in titles, abstracts, summaries and conclusions of dissertations and theses. It was considered as a time frame the production established between the years 2009 and 2018, available in the "Catalog of Theses and Dissertations of CAPES". It is possible to identify the quantitative of 62 eligible academic productions, organized by: i) year of publication, gender, type of HEI and type of production; ii) region, UF and university of origin; iii) CAPES program and evaluation area; iv) spatial scoping of the research object, region and UF; v) spatial delimitation of the research object considering the source UF; vi) categories of analysis.As cidades pequenas compõem a maior parte da rede urbana nacional. Dos 5570 municípios, 4904 apresentam sedes municipais com população inferior a 50 mil habitantes, totalizando mais de 65 milhões brasileiros (IBGE, 2018). Ainda que categorizar uma cidade considerando apenas seu contingente populacional não evidencie o papel e a influência em sua rede urbana, o presente artigo adota esse parâmetro como forma de trazer à discussão a produção acadêmica recente sobre o urbano nos pequenos núcleos populacionais, que por vezes são preteridas como tema de análise em favor das cidades médias, grandes ou regiões metropolitanas. Propõe-se o exercício de se estabelecer o “estado da questão” dessa perspectiva, por meio da catalogação, tabulação e análise de dados obtidos nos títulos, resumos, sumários e conclusões de dissertações e teses. Foi considerado como marco temporal a produção estabelecida entre os anos de 2009 e 2018, disponibilizada no “Catálogo de Teses & Dissertações da CAPES”. É possível identificar o quantitativo de 62 produções acadêmicas elegíveis, organizadas por: i) ano de publicação, gênero, tipo de IES e tipo de produção; ii) região, UF e IES de origem; iii) programa e área de avaliação da CAPES; iv) recorte espacial do objeto de pesquisa, região e UF; v) delimitação espacial do objeto de pesquisa considerando a UF de origem; vi) categorias de análise

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

Socio-Spatial Conflicts, Justice, Resistance. Historical Preservation and Construction of Identities in Latin American Cities

Presentació

As políticas públicas criam territórios da espera ? O caso do programa Morar Feliz da Prefeitura Municipal de Campos dos Goytacazes (RJ- Brasil)

The Morar Feliz (Happy Living) Program includes demolition of slums and relocation of people to the housing projects, often in remote areas of urban centers, deprived of essential services and infrastructure. In some cases, the delivery of the "houses" does not occur simultaneously with the removal process, forcing the people to experience a period of uncertainty and tensions while waiting for housing. Thus, the present study intended to analyze the extent of the waiting time in the process of removal/relocation of Morar Feliz (Happy Living) Program in the Inferno Verde (Green Hell) slum that is presented itself as an exemplary case of this condition. The purpose of this study was to investigate whether the waiting situation that removed residents were posed by imposition of a public policy is likely to create “waiting territories” which in according to the ANR-TERRIAT studies “are spaces for voluntarily or involuntarily serving for waiting the displaced or those on the move”. The research results showed that the forced removal established by The Morar Feliz (Happy Living) Program, although cause loss of neighborly relations and the old spatial references, residents sought to build new territorialities, enabling the creation of a "territory waiting.