20 research outputs found
Deodoro, a espada contra o império
v. 1. O aprendiz de feiticeiro (da Revolta Praieira ao gabinete Ouro Preto). - v. 2. O galo na torre (do desterro em Mato Grosso à Fundação da República).FINEPUFRJFUJBIBEPFAPERJME
Effect of indolebutyric acid on rooting and budding of cuttings of Glyicidium sepium
Studies carried out with the use of gliricidia biomass found that green manure contributes to increasing the productivity of forest crops when compared to the incorporation of other legumes. This study aimed to evaluate the viability of vegetative propagation by cuttings in the development of rooting and budding of Glyicidium sepium in different concentrations of indolebutyric acid (IBA). The experiment was carried out in a greenhouse with an entirely randomized block design and increasing concentrations of IBA 0, 625, 1250, and 3000 mg.L-1 with six replicates. The cuttings were standardized in length and diameter, then treated with sodium hypochlorite and immersed in different concentrations of IBA. The parameters plant evaluated were the sprouts number, sprouts length, sprouts diameter, sprouts dry weight, and roots dry weight. The concentration of IBA was shown to be effective in increasing all parameters studied at the IBA concentration of 2100 mg.L-1, and the higher concentrations did not offer any cost-benefit advantages for the production of gliricidia by cutting
Revitalização da mata de galeria do Ribeirão das Antas próximo a AMBEV (Compainha de Bebidas das Américas), Município de Anápolis – GO/ Revitalization of the gallery forest of the riverbank of the tapirs near AMBEV (Compainha of Drinks of the Américas), City of Anápolis – GO
As Matas de Galeria possuem a importante função de conectar diferentes remanescentes florestais e manter a qualidade dos cursos d'água, evitando seu assoreamento. O objetivo deste estudo foi elaborar e executar um plano de recuperação de áreas degradadas de uma Mata de Galeria do Ribeirão das Antas inserida em uma empresa no município de Anápolis, Goiás. As etapas propostas para a realização do projeto foram a coleta de sementes, construção de um viveiro para produção de mudas de espécies nativas, limpeza e preparo do solo e plantio de mudas. O viveiro construído possui uma capacidade de produção de aproximadamente 5000 mudas de espécies vegetais nativas do Cerrado. Também foi realizado o plantio de espécies vegetais nas áreas degradadas seguindo o critério de intercalar plantas de classificação sucessional inicial (pioneiras) e plantas secundárias. Algumas espécies exóticas frutíferas foram plantadas fora das Áreas de Preservação Permanente visando proteção das bordas da mata, uso econômico e atração de animais dispersores. O processo de recuperação teve início em uma área composta por pastagem e por vegetação nativa com incidência de corte seletivo. Nestas áreas, foi utilizado o sistema de recuperação a partir da implantação de uma comunidade florestal nas pastagens e o sistema de adensamento da comunidade nas áreas com vegetação nativa que apresentavam corte seletivo. As contribuições do presente trabalho foram o início da recuperação de um importante curso d’água e a construção do viveiro que poderá fornecer mudas para os próximos plantios no decorrer do projeto e também para moradores das regiões próximas a área. Além disso, possibilitou uma experiência profissional aos acadêmicos na execução de atividades de campo e na pesquisa científica
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
Três panfletários do segundo reinado
Francisco Salles Torres Homem e o "Libelo do povo". - Justiniano José da Rocha e "Ação, Reação, Transações". - Antônio Ferreira Vianna e "A conferência dos Divinos".FINEPUFRJFUJBIBEPFAPERJME