Decifrando mapas:sobre o conceito de "território" e suas vinculações com a cartografia

This essay studies the cartographic documentation left by military engineers in Portugal, during the 18th Century. The technical dimension of map making is analysed, focusing on the instruments and the methods employed both in field surveys and in subsequent graphic representations. From the point of view of Material Culture, maps are understood as cultural artefacts, therefore historical artefacts; in this sense, the particularities of cartographic language reveal the world conceptions particular to each period. This article proposes a methodology of morphological analysis of the cartographic language, deconstructing the several strata in the organisation of this kind of visual representation. In order to do so, a vast array of heterogeneous correlate documents is mobilised, such as practical geometry, drawing and architecture treatises, contemporary to the period studied.O ensaio versa sobre a documentação cartográfica legada pelos engenheiros militares, em Portugal, no século XVIII. Analisa a dimensão técnica da produção de mapas, focalizando os instrumentos e os métodos empregados nos levantamentos de campo e no desenho de gabinete. Do ponto de vista da cultura material, os mapas são interpretados como artefatos culturais e, portanto, históricos; dessa forma, as particularidades da linguagem cartográfica revelam as concepções de mundo, o estado do conhecimento científico, as convenções e os códigos de representação próprios de cada período. Propõe uma metodologia de análise morfológica da linguagem cartográfica, desconstruindo os diversos estratos da tessitura desse tipo de representação visual. Para tanto, mobiliza um vasto campo de documentos correlatos, heterogêneos, tais como tratados de geometria prática, desenho e arquitetura, contemporâneos ao objeto de estudo

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

Os interiores domésticos após a expansão da economia exportadora paulista

The present article aims at describing São Paulo city dwellings and at studying its trade and crafts production in the first half of the 19th Century. Our work is chiefly based on information collected from post-mortem inventories registered in São Paulo capital city. Memorialists have described São Paulo city and its market as insignificant until coffee cultivation took over as the main economic activity. However, our research has found out that, on the contrary, the domestic trade had been very active since the beginning of the 19th century.Este artigo se propõe a descrever os interiores domésticos dos paulistanos e a refletir sobre o comércio e a produção artesanal da cidade de São Paulo na primeira metade do Oitocentos. Baseamo-nos principalmente nas informações dos inventários post-mortem da capital. Os memorialistas descreveram a cidade e seu mercado acanhados até o advento do café. Nossa pesquisa, ao contrário, identificou-os muito ativo desde o início do século XIX

Consistent patterns of common species across tropical tree communities

Trees structure the Earth’s most biodiverse ecosystem, tropical forests. The vast number of tree species presents a formidable challenge to understanding these forests, including their response to environmental change, as very little is known about most tropical tree species. A focus on the common species may circumvent this challenge. Here we investigate abundance patterns of common tree species using inventory data on 1,003,805 trees with trunk diameters of at least 10 cm across 1,568 locations1,2,3,4,5,6 in closed-canopy, structurally intact old-growth tropical forests in Africa, Amazonia and Southeast Asia. We estimate that 2.2%, 2.2% and 2.3% of species comprise 50% of the tropical trees in these regions, respectively. Extrapolating across all closed-canopy tropical forests, we estimate that just 1,053 species comprise half of Earth’s 800 billion tropical trees with trunk diameters of at least 10 cm. Despite differing biogeographic, climatic and anthropogenic histories7, we find notably consistent patterns of common species and species abundance distributions across the continents. This suggests that fundamental mechanisms of tree community assembly may apply to all tropical forests. Resampling analyses show that the most common species are likely to belong to a manageable list of known species, enabling targeted efforts to understand their ecology. Although they do not detract from the importance of rare species, our results open new opportunities to understand the world’s most diverse forests, including modelling their response to environmental change, by focusing on the common species that constitute the majority of their trees

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