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

Consumo de carotenoides e polifenóis em indivíduos com risco cardiometabólico

Os compostos bioativos possuem um importante papel antioxidante e proporcionam um tratamento adjuvante no combate às Doenças Crônicas Não Transmissíveis. Determinar o consumo atual de compostos bioativos (carotenoides e polifenóis) em indivíduos com risco cardiometabólico. Estudo transversal com 227 sujeitos participantes do Programa de Atenção à Saúde Cardiovascular da Universidade Federal de Viçosa. Foram coletados dados de ingestão alimentar atual para determinação do consumo de carotenoides, polifenóis, micro e macronutrientes utilizando um recordatório 24 horas. Dados antropométricos, de composição corporal, sociodemográficos e de estilo de vida também foram avaliados. O teste de Mann Whitney e correlação de Spearman foram realizados no SPSS v.20.0, com significância de p2,52 mg/dia) obtiveram menores valores de gordura corporal total (p 2.52 mg / day) had lower values of total body fat (p <0.001). Our results indicate that a higher intake of kaempferol was associated with lower values of total adiposity indicators. However, more studies are necessary to establish the mechanisms involved in their potential benefits regarding adiposity and metabolic response

Núcleos de Ensino da Unesp: artigos 2010: volume 4: as disciplinas escolares, os temas transversais e o processo de educação

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP