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

A importância da relação médico-paciente no planejamento familiar

Uma boa relação médico-paciente no planejamento familiar é fundamental para o sucesso da promoção de saúde na Atenção Primária. É regulamentado por lei o direito reprodutivo e de acesso à assistência, contracepção e concepção, orientado por meio de ações preventivas e educativas, amparado pelo vínculo estabelecido entre o profissional e a pessoa atendida. Quanto melhor for a conexão e a qualidade da orientação prestada, maior a satisfação, aceitabilidade e continuidade do cuidado. Objetivou-se aprimorar a adesão aos métodos contraceptivos e as medidas pré-concepcionais, utilizando de um entendimento mútuo entre a indicação médica e o desejo da paciente. Trata-se de pesquisa em artigos científicos, com foco em planejamento familiar e relação médico-paciente, em plataformas como Science Direct, além do Tratado de Medicina de Família e Comunidade. É necessário que a paciente conheça e compreenda todos os métodos para contracepção, tenha aconselhamento, suporte e participe da decisão terapêutica. A autonomia da paciente deve ser considerada no conjunto de ações de controle de fecundidade para que haja continuidade e constância do cuidado, prevenindo desfechos desfavoráveis. Uma vez estabelecida a boa relação médico-paciente, melhorias de indicadores básicos de saúde são observados, incluindo a redução da gravidez na adolescência e a ocorrência de Infecções Sexualmente Transmissíveis, diminuição do abandono escolar, melhor preparação de mães - tanto para a saúde gestacional quanto para o maior cuidado com as crianças - menor abandono de recém nascidos, entre outras adversidades. A partir do momento que se concretiza uma conexão entre médico e paciente, desfechos negativos são minimizados, há uma troca mútua de confiança, o médico consegue estabelecer uma influência na escolha do plano de cuidado de acordo com as indicações previstas e o paciente consegue exercer sua autonomia. Assim, há uma melhor e mais eficaz prevenção e promoção da saúde