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

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