5 research outputs found
Avaliação de dois simuladores para predição da lixiviação de sulfona de aldicarbe em um Latossolo Vermelho-Amarelo
This work was carried out to study the leaching of aldoxycarb in a Red Yellow Latossol in Lavras, Minas Gerais State, Brazil, and to compare the observed results with those obtained by the simulators CALF and PESTLA. The results showed a high leaching of aldoxycarb in the soil. After 44 days of the insecticide application and with 241.4 mm of accumulated water applied in each column, the remained quantity of aldoxycarb in the soil columns (45 cm long) was 17.92% (±5.88) of the initial applied rate. However, the simulators CALF and PESTLA predicted 20.52% and 37.82%, respectively. CALF simulator gave better predictions of the overall mean residue concentrations of aldoxycarb, and PESTLA simulator gave better prediction of residues distribution.Este trabalho teve por objetivo o estudo da lixiviação de sulfona de aldicarbe em um Latos-solo Vermelho-Amarelo, na região de Lavras, MG, para posterior comparação com os resultados obtidos pelos simuladores CALF e PESTLA. Os resultados mostraram alta lixiviação de sulfona de aldicarbe no solo em estudo. Aos 44 dias após a aplicação do inseticida e com uma lâmina de água acumulada de 241,4 mm, a quantidade média de sulfona de aldicarbe remanescente nas colunas de solo de 45 cm de profundidade foi equivalente a 17,92% (±5,88) da dose aplicada, enquanto os simuladores CALF e PESTLA estimaram 20,52% e 37,82%, respectivamente. O simulador CALF gerou melhores estimativas da quantidade média de sulfona de aldicarbe no perfil do solo nas diferentes datas de amostragem, enquanto o simulador PESTLA gerou melhores estimativas da distribuição do inseticida ao longo do perfil do solo, nas diferentes datas de amostragem
Avaliação de dois simuladores para predição da lixiviação de sulfona de aldicarbe em um Latossolo Vermelho-Amarelo Evaluation of two simulators to predict the leaching of aldoxycarb in a red-yellow latossol
Este trabalho teve por objetivo o estudo da lixiviação de sulfona de aldicarbe em um Latossolo Vermelho-Amarelo, na região de Lavras, MG, para posterior comparação com os resultados obtidos pelos simuladores CALF e PESTLA. Os resultados mostraram alta lixiviação de sulfona de aldicarbe no solo em estudo. Aos 44 dias após a aplicação do inseticida e com uma lâmina de água acumulada de 241,4 mm, a quantidade média de sulfona de aldicarbe remanescente nas colunas de solo de 45 cm de profundidade foi equivalente a 17,92% (±5,88) da dose aplicada, enquanto os simuladores CALF e PESTLA estimaram 20,52% e 37,82%, respectivamente. O simulador CALF gerou melhores estimativas da quantidade média de sulfona de aldicarbe no perfil do solo nas diferentes datas de amostragem, enquanto o simulador PESTLA gerou melhores estimativas da distribuição do inseticida ao longo do perfil do solo, nas diferentes datas de amostragem.<br>This work was carried out to study the leaching of aldoxycarb in a Red Yellow Latossol in Lavras, Minas Gerais State, Brazil, and to compare the observed results with those obtained by the simulators CALF and PESTLA. The results showed a high leaching of aldoxycarb in the soil. After 44 days of the insecticide application and with 241.4 mm of accumulated water applied in each column, the remained quantity of aldoxycarb in the soil columns (45 cm long) was 17.92% (±5.88) of the initial applied rate. However, the simulators CALF and PESTLA predicted 20.52% and 37.82%, respectively. CALF simulator gave better predictions of the overall mean residue concentrations of aldoxycarb, and PESTLA simulator gave better prediction of residues distribution
O Museu Goeldi e a pesquisa arqueológica: um panorama dos últimos dezessete anos (1991-2008)
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