Influência das condições do habitat sobre a estrutura de herbáceas aquáticas na região do Lago Catalão, Manaus, AM

Na Amazônia, as herbáceas aquáticas são encontradas em todas as tipologias de água, mas sua abundância pode ser influenciada pelas condições limnológicas de cada ambiente. Assim, este trabalho teve como objetivo avaliar a influência das condições do habitat sobre a estrutura de herbáceas aquáticas na região do Lago Catalão, Manaus, AM. Foram avaliadas sete transecções em ambientes de água branca (AB), nove em água decantada (AD) e sete em água mista (AM). Em cada transecção foram identificadas as herbáceas aquáticas, estimada a área de cobertura relativa, calculada a frequência de ocorrência e avaliadas as variáveis turbidez, condutividade elétrica, pH e profundidade. A variação na profundidade indicou que os ambientes de AD e AM eram mais profundos do que AB, já águas mais ácidas e com menor condutividade foram registradas na AM. Foram registrados 32 táxons de herbáceas aquáticas sendo as espécies mais frequentes Paspalum repens, Salvinia auriculata, Pistia stratiotes e Lemna valdiviana. Entre as espécies levantadas, 50% foram comuns aos três ambientes. Por outro lado, algumas espécies ocorreram exclusivamente em ambientes de AB, em AD e em AM. Na AB foram mais frequentes as formas flutuantes, que também apresentaram a maior cobertura neste ambiente; na AD e na AM as emersas apresentaram maior frequência e cobertura. A AM apresentou maior riqueza de herbáceas aquáticas em relação aos demais ambientes. As variações registradas indicam que as condições limnológicas dos rios de água branca e preta podem determinar a estrutura da comunidade de herbáceas aquáticas, mesmo em pequenas escalas espaciais

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, and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space. While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes, vast areas of the tropics remain understudied. In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity, but it remains among the least known forests in America and is often underrepresented in biodiversity databases. To worsen this situation, human-induced modifications 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, 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

Induction of somatic embryogenesis in immature seeds of guavatree cv. Paluma Indução de embriogênese somática em sementes imaturas de goiabeira cv. Paluma

The biotechnological techniques may help solve many problems of guava culture, such as the high perishability of fruits. Somatic embryogenesis can generate highly multiplicative cell cultures and with high regenerative potential, serving as basis for genetic transformation. The aim of this work was to obtain somatic embryogenesis of guava (Psidium guajava L.) cv. Paluma. Immature seeds were used, and they were inoculated in MS environment containing 400 mg L-1 of L-glutamine, 100 mg L-1 myo-inositol, 60 g L-1 sucrose, 100 mg L-1 ascorbic acid and supplemented with different types and concentrations of growth regulators. Embryogenic callus appeared after 37 days of culture in an environment containing 1.0 mg L-1 2.4-D + 2.0 mg L-1 2-ip, in 7% of the explants. After 65 days of culture, the treatment containing 0.5 mg L-1 CPA showed 20% of explants with direct embryos, while the treatment with 1 mg L-1 had 14% of explants with direct embryos and 7% of explants with embryogenic callus. In 66.6% of embryos regenerated with 0.5 mg L¹ CPA there was the formation of secondary embryos. The use of IASP and BAP, aiming embryogenesis proliferation, led to an increase in the cellular proliferation, but calli apparently lost their embryogenic potential.<br>As técnicas biotecnológicas podem ajudar a solucionar alguns problemas do cultivo da goiabeira, como o alto perecimento dos frutos. A embriogênese somática pode gerar culturas de células altamente multiplicativas e com alto poder regenerativo, sendo base para processos de transformação genética. O objetivo deste trabalho foi obter embriogênese somática de goiabeira (Psidium guajava L.) cv. Paluma. Foram utilizadas sementes imaturas, que foram inoculadas em meio MS contendo 400 mg L-1 de L-glutamina, 100 mg L-1 de mioinositol, 60 g L-1 de sacarose, 100 mg L-1 de ácido ascórbico, suplementado com diferentes tipos e concentrações de reguladores de crescimento. Calo embriogênico surgiu após 37 dias de cultivo em meio contendo 1,0 mg L-1 de 2,4-D + 2,0 mg L-1 de 2-ip, em 7% dos explantes. Após 65 dias de cultivo, o tratamento com 0,5 mg L-1 de CPA apresentou 20% dos explantes com embriões diretos, enquanto o tratamento com 1 mg L-1 teve 14% dos explantes com embriões diretos e 7% dos explantes com calo embriogênico. Em 66,6% dos embriões regenerados com 0,5 mg L-1 de CPA, houve formação de embriões secundários. O uso de IASP e BAP, visando à proliferação da embriogênese, levou a aumento de proliferação celular, mas os calos aparentemente perderam o potencial embriogênico