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

Pressão arterial: efeito do índice de massa corporal e da circunferência abdominal em adolescentes

FUNDAMENTO: Aumento do índice de massa corporal (IMC) e da circunferência abdominal (CA) tem sido associado a elevação da pressão arterial. OBJETIVO: Avaliar o efeito do IMC e da CA sobre a pressão arterial (PA) de adolescentes. MÉTODOS: Estudo analítico de corte transversal. Selecionados 536 adolescentes, alunos de escolas públicas e privadas. Foram calculados IMC, classificado como normal alto (>p50 <p85), sobrepeso (>p85 <p95) e obesidade (>p95). Mediu-se a CA, aumentada se>p75 e a PA, elevada se >p90. RESULTADOS: Trezentos e dezenove (59,5%) indivíduos eram meninas, idade de 14,0± 1,99 anos, peso normal alto em 39,6%, sobrepeso em 37,1% e obesidade em 23,3%. O percentual de PAS e PAD elevadas acompanhou a elevação do IMC (p=0,000), alcançando 46,4% nos meninos e 39,3% nas meninas obesas (PAS) e 42,0% e 44,6% (PAD), respectivamente. PAS e PAD elevadas foram 3,9 a 3,4 vezes mais freqüente nos meninos, e 2,2 a 2,0 vezes mais nas meninas com CA > p75, respectivamente. Pela análise de regressão linear simples cada aumento no IMC aumentaria a PAS em 1,198 mmHg e da CA em 0,622 mmHg. A razão de prevalência (RP) de PAS e PAD elevadas em razão do IMC>p85 foi 3,9(I.C. 95% 2,0-7,4[p=0,000]) e 4,3(I.C. 95% 2,2-8,5[p=0,000]), respectivamente, e em razão da CA>p75 de 1,8(IC 95% 1,0 a 3,0 [p=0,036]) e 1,4(IC 95% 0,8 a 2,4). Encontrou-se em 16/181(8,8%) dos adolescentes com peso normal alto, PA>P90 com CA>p75. CONCLUSÃO: Os valores do IMC e da CA têm forte influência sobre os valores da PA de adolescentes

Nonalcoholic fatty liver disease in asymptomatic Brazilian adolescents

AIM: To evaluate the prevalence and clinical characteristics of Nonalcoholic fatty liver disease (NAFLD) among asymptomatic Brazilian adolescents