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

Diagnosticando a cistite idiopática felina: Revisão

Sabe-se que a casuística de gatos que apresentam sinais clínicos referentes ao trato urinário inferior (STUI) no mundo inteiro é enorme. Mas, reconhece-se também que, na maioria desses casos, não se conhece a causa específica que desencadeia tais sinais, assim como, sinais referentes a outros sistemas que por ventura venham a ser acometidos anteriormente ou concomitantemente aos STUI. O objetivo desse trabalho é investigar quais as evidências existentes atualmente sobre a cistite idiopática/intersticial felina (CIF) e como que se dá a abordagem do paciente felino para essa síndrome: quais perguntas devem ser feitas ao tutor, os achados dos exames físico e complementar, bem como os tratamentos mais indicados em cada caso em particular

Lipidose hepática secundaria à colangiohepatite em felino doméstico sem raça definida: Relato de caso

Este relato mostra o caso de um felino sem raça definida, de um ano e quatro meses de idade diagnosticada com lipidose hepática secundaria à colangiohepatite. Relata a importância dos exames complementares no diagnóstico da doença e o tratamento à base de suporte nutricional contendo alto teor proteico, que demonstrou ser essencial na recuperação do paciente