CANOAS VIGILENGAS E A DINÂMICA DA PESCARIA EM VIGIA, PARÁ: SABERES E PRÁTICAS CULTURAIS DA PESCA ARTESANAL

O presente estudo analisa práticas culturais desenvolvidas a partir das construções de canoas artesanais na região do município de Vigia no Estado do Pará, levanta reflexões sobre a dinâmica da pescaria a partir da utilização e produção por carpinteiros destas canoas, denominadas de vigilengas. Neste sentido objetivamos identificar saberes e conhecimentos tradicionais de pescadores e carpinteiros artesanais que circulam em suas relações, analisando as consequências do paradigma da modernidade sobre a prática cultural da pescaria. Trata-se de estudo bibliográfico e etnográfico, com abordagem qualitativa e com análise de conteúdo. Justifica-se o estudo em virtude da importância histórica e cultural que a pescaria possui nestas regiões da Amazônia envolvendo comunidades tradicionais no uso de canoas artesanais. Entre os resultados verificou-se uma interação socioambiental na construção das canoas vigilengas, assim como na prática da pescaria artesanal contribuindo para a circulação de saberes e conhecimentos tradicionais, portando as mudanças sociais, impuseram novas regras às práticas de pescaria com canoas motorizadas, ocasionando o sumiço da canoa vigilenga. Desta forma conclui-se identificando que nas relações canoa vigilenga, pescadores e carpinteiros circularam relações de saberes, pertencimento e identidade local

Tia Pê (1915-1976): mulher, identidade negra e cultura do carimbó amazônico paraense na cidade de Vigia

Este artigo objetiva apresentar e discutir a última das Tias do Carimbó Vigiense, a senhora Francisca Lima do Espírito Santo, mais conhecida como Tia Pê (1915-1976), mulher negra, símbolo e identidade da cultura do carimbó amazônico paraense na cidade de Vigia. A metodologia envolve uma revisão bibliográfica, pesquisa documental, análise qualitativa e incursão pela histórica e antiga cidade de Vigia de Nazaré, no Nordeste do Estado do Pará. Dentro os principais autores, destacamos Enrique Dussel (1977), Diegues (1999), Escobar (2005), Vicente Salles (1969), Ramos (2012) e Stuart Hall (2003)

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

Qualidade do melão cantaloupe cv. Hy-Mark minimamente processado e armazenado sob refrigeração Quality of cantaloupe melon cv. Hy-Mark minimally processed and refrigerated

A maioria das pesquisas em melão minimamente processado é concentrada no tipo 'cantaloupe', devido à sua importância no mercado internacional. O objetivo deste trabalho foi avaliar a qualidade do melão cantaloupe cv. Hy-Mark minimamente processado. Os frutos foram lavados e sanitizados, sendo em seguida cortados na forma de cubos, imersos em solução de CaCl2, acondicionados em embalagens flexíveis PET (tereftalato de polietileno) e armazenados a 4ºC por 9 dias. O delineamento foi conduzido inteiramente casualizado, com três repetições. A intervalos de três dias, amostras foram coletadas e analisadas quanto a coliformes totais e fecais, e contagem de bactérias aeróbias mesófilas e bolores e leveduras, pH, sólidos solúveis totais, acidez, vitamina C, açúcares redutores totais, atividade de água, firmeza e análise sensorial através do atributo de aceitação global. O melão minimamente processado apresentou boa estabilidade física, físico-química, microbiológica e sensorial, estimando-se em 9 dias a vida útil deste produto a 4ºC.<br>Most of the research into minimally processed melon is focused on cantaloupe melon, due to its importance in the international market. The objective of this work was to evaluate the quality of cantaloupe melon cv. Hy-Mark, minimally processed and refrigerated. Fruits were washed, sanitized, cut and imbedded in a calcium chloride solution and packed in PET and stored at 4ºC during 9 days. At three-day intervals samples were collected and analyzed for total and fecal coliforms, counting of aerobic mesophilic bacterias, molds and yeast, SS (soluble solids), TTA (total titrable acidity), firmness, pH, TRS (total reducing sugar), Aw, vitamin C, color and acceptability. The minimally processed melon showed good overall physical, pyisico-chemical, microbiological and sensorial stability during the storage period

Brazilian Flora 2020: Leveraging the power of a collaborative scientific network

International audienceThe shortage of reliable primary taxonomic data limits the description of biological taxa and the understanding of biodiversity patterns and processes, complicating biogeographical, ecological, and evolutionary studies. This deficit creates a significant taxonomic impediment to biodiversity research and conservation planning. The taxonomic impediment and the biodiversity crisis are widely recognized, highlighting the urgent need for reliable taxonomic data. Over the past decade, numerous countries worldwide have devoted considerable effort to Target 1 of the Global Strategy for Plant Conservation (GSPC), which called for the preparation of a working list of all known plant species by 2010 and an online world Flora by 2020. Brazil is a megadiverse country, home to more of the world's known plant species than any other country. Despite that, Flora Brasiliensis, concluded in 1906, was the last comprehensive treatment of the Brazilian flora. The lack of accurate estimates of the number of species of algae, fungi, and plants occurring in Brazil contributes to the prevailing taxonomic impediment and delays progress towards the GSPC targets. Over the past 12 years, a legion of taxonomists motivated to meet Target 1 of the GSPC, worked together to gather and integrate knowledge on the algal, plant, and fungal diversity of Brazil. Overall, a team of about 980 taxonomists joined efforts in a highly collaborative project that used cybertaxonomy to prepare an updated Flora of Brazil, showing the power of scientific collaboration to reach ambitious goals. This paper presents an overview of the Brazilian Flora 2020 and provides taxonomic and spatial updates on the algae, fungi, and plants found in one of the world's most biodiverse countries. We further identify collection gaps and summarize future goals that extend beyond 2020. Our results show that Brazil is home to 46,975 native species of algae, fungi, and plants, of which 19,669 are endemic to the country. The data compiled to date suggests that the Atlantic Rainforest might be the most diverse Brazilian domain for all plant groups except gymnosperms, which are most diverse in the Amazon. However, scientific knowledge of Brazilian diversity is still unequally distributed, with the Atlantic Rainforest and the Cerrado being the most intensively sampled and studied biomes in the country. In times of “scientific reductionism”, with botanical and mycological sciences suffering pervasive depreciation in recent decades, the first online Flora of Brazil 2020 significantly enhanced the quality and quantity of taxonomic data available for algae, fungi, and plants from Brazil. This project also made all the information freely available online, providing a firm foundation for future research and for the management, conservation, and sustainable use of the Brazilian funga and flora