Perdas e ganhos do envelhecimento da mulher

O presente artigo é um relato da pesquisa que embasou nossa dissertação de mestrado, em que procuramos conhecer as trajetóriasde vida de mulheres de meia-idade, a fim de compreender as maneirascomo elas vivem e lidam com o envelhecimento. Analisamos atrajetória e a identidade de mulheres com idade entre 50 e 60 anos,da população urbana de Belo Horizonte, com as seguintes características:casadas, solteiras e viúvas, com ou sem filhos, que trabalhame que não trabalham fora do lar e com escolaridade entre o 1o.grau completo e o superior. Procuramos compreender a maneiracomo elas lidam, durante esse período da vida, com a perda das referências identificatórias mais comuns para a mulher – a maternidadee o objeto do desejo do outro –, e pesquisamos outras referênciasque elas encontram para si mesmas e sobre suas realizações na maturidade

Levantamento dos Insetos da Mata Atlântica do Estado do Rio de Janeiro

This paper and the others of this issue present inventories (lists) of insect species from the Atlantic Forest of Rio de Janeiro State, Southeastern Brazil. These inventories are based on the literature and on material deposited in scientific collections, mainly those of UFRJ, FIOC, and UFPR. A total of 3,120 species were so far recorded, distributed in the following groups: aquatic insects (Coleoptera (Dytiscidae, Noteridae, Hydrophilidae, and Elmidae), Diptera (Chironomidae and Simuliidae), Ephemeroptera, Hemiptera (Nepomorpha and Gerromorpha), Plecoptera, and Trichoptera): 499 spp.; Blattaria (Blaberidae): 70 spp.; Coleoptera (Anthribidae, Belidae, Cerambycidae, and Meloidae): 1,212 spp.; Collembola: 129 spp.; Diptera (Bombyliidae, Cecidomyiidae, Conopidae, Fanniidae, Muscidae, and Sarcophagidae): 587 spp.; Hemiptera (Cicadellidae): 340 spp.; Hymenoptera (Sphecidae): 30 spp.; and Lepidoptera (Lycaenidae and Pieridae): 253 spp.Este artigo e os demais deste fascículo apresentam inventários (listas) de espécies de insetos da Mata Atlântica do Estado do Rio de Janeiro, Sudeste do Brasil. Esses inventários foram realizados com base na literatura e no exame de material depositado em coleções científicas, em especial UFRJ, FIOC e UFPR. Foi registrado até agora um total de 3.120 espécies, distribuídas entre os seguintes grupos: insetos aquáticos (Coleoptera (Dytiscidae, Noteridae, Hydrophilidae e Elmidae), Diptera (Chironomidae e Simuliidae), Ephemeroptera, Hemiptera (Nepomorpha e Gerromorpha), Plecoptera e Trichoptera): 499 spp.; Blattaria (Blaberidae): 70 spp.; Coleoptera (Anthribidae, Belidae, Cerambycidae e Meloidae): 1.212 spp.; Collembola: 129 spp.; Diptera (Bombyliidae, Cecidomyiidae, Conopidae, Fanniidae, Muscidae e Sarcophagidae): 587 spp.; Hemiptera (Cicadellidae): 340 spp.; Hymenoptera (Sphecidae): 30 spp.; e Lepidoptera (Lycaenidae e Pieridae): 253 spp

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