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

Catálogo Taxonômico da Fauna do Brasil: setting the baseline knowledge on the animal diversity in Brazil

The limited temporal completeness and taxonomic accuracy of species lists, made available in a traditional manner in scientific publications, has always represented a problem. These lists are invariably limited to a few taxonomic groups and do not represent up-to-date knowledge of all species and classifications. In this context, the Brazilian megadiverse fauna is no exception, and the Catálogo Taxonômico da Fauna do Brasil (CTFB) (http://fauna.jbrj.gov.br/), made public in 2015, represents a database on biodiversity anchored on a list of valid and expertly recognized scientific names of animals in Brazil. The CTFB is updated in near real time by a team of more than 800 specialists. By January 1, 2024, the CTFB compiled 133,691 nominal species, with 125,138 that were considered valid. Most of the valid species were arthropods (82.3%, with more than 102,000 species) and chordates (7.69%, with over 11,000 species). These taxa were followed by a cluster composed of Mollusca (3,567 species), Platyhelminthes (2,292 species), Annelida (1,833 species), and Nematoda (1,447 species). All remaining groups had less than 1,000 species reported in Brazil, with Cnidaria (831 species), Porifera (628 species), Rotifera (606 species), and Bryozoa (520 species) representing those with more than 500 species. Analysis of the CTFB database can facilitate and direct efforts towards the discovery of new species in Brazil, but it is also fundamental in providing the best available list of valid nominal species to users, including those in science, health, conservation efforts, and any initiative involving animals. The importance of the CTFB is evidenced by the elevated number of citations in the scientific literature in diverse areas of biology, law, anthropology, education, forensic science, and veterinary science, among others

Perfil de ácidos graxos e qualidade da carne de caprinos da raça Saanen inteiros e castrados, com diferentes pesos ao abate

O objetivo dessa pesquisa foi verificar a influência do peso ao abate e da castração sobre o perfil de ácidos graxos e a qualidade da carne de caprinos 7/8 de Saanen do Brejo da Paraíba, Brasil. Analisaram-se 24 amostras de carne (perna) caprina de animais inteiros e castrados, pesando 20 e 30 Kg, subdivididos em quatro grupos: I-20; I-30; C-20 e C-30. Umidade, proteínas e lipídios variaram (P< 0,01) em função da castração e o peso ao abate influenciou na umidade e lipídios (P<0,01). A interação da castração x peso influenciou na umidade (P<0,05) e lipídios (P< 0,01). A castração isoladamente não influenciou (P>0,05) no perfil de ácidos graxos, enquanto o peso influenciou em C18:2 (P<0,05), polinsaturados (P<0,05), na relação P:S (P<0,05) e P:M (P<0,01). Foram detectados em todos os grupos C4:0, C6:0, C:8 e C:11 não citados na literatura. No grupo I-20 observou-se maior (P<0,01) teor de polinsaturados associados a maior oxidação lipídica comparados aos demais. O fator peso ao abate influenciou (P<0,01) na cor, suculência, mastigabilidade e maciez, enquanto castração influenciou (P<0,01) na suculência, mastigabilidade e maciez da carne. A carne com melhores características de qualidade foi a do grupo C-20 porque apresentou baixo teor de lipídios e menor oxidação, além de melhor suculência, mastigabilidade e macie

Participação de usuários da atenção primária em práticas de promoção da saúde

Objective: To analyze the factors associated with the participation of primary health care users in health promotion practices. Methods: Descriptive and analytical cross-sectional study carried out in the municipality of Vitória de Santo Antão, Pernambuco, in 2016 with 148 participants aged over 20 years enrolled in three Family Health Care Centers or in the Small Waist Project. Data were collected using a semi-structured questionnaire addressing sociodemographic data, clinical profile, eating habits, and knowledge about and participation in health promotion practices and activities. Association between variables was checked using Pearson’s Chi-squared test with a significance level of pObjetivo: Analizar los factores asociados con la participación de los usuarios de la atención primaria en las prácticas de promoción para la salud. Métodos: Estudio transversal de carácter descriptivo y analítico realizado en el municipio de Vitória de Santo Antão/Pernambuco en 2016 con 148 participantes con 20 años o más, registrados en las Unidades de Salud de la Familia o no en el proyecto de Extensión Cintura Fina. La recogida de datos se dio a través del cuestionario semiestructurado con los datos sociodemográficos, el perfil clínico, los hábitos alimentarios, además del conocimiento y participación en prácticas y actividades de promoción para la salud. Se realizó la asociación entre las variables a través de la prueba Chi-cuadrado de Pearson con el nivel de significación de pObjetivo: Analisar os fatores associados à participação de usuários da atenção primária em práticas de promoção da saúde. Métodos: Estudo transversal de caráter descritivo e analítico, realizado no município de Vitória de Santo Antão/Pernambuco, em 2016, com 148 participantes, acima de 20 anos, cadastrados em Unidades de Saúde da Família ou no projeto de Extensão Cintura Fina. A coleta de dados ocorreu através de questionário semiestruturado, no qual constavam dados sociodemográficos, perfil clínico, hábitos alimentares, além de conhecimento e participação em práticas e atividades de promoção da saúde. A associação entre as variáveis foi realizada através do teste qui-quadrado de Pearson, adotando o nível de significância

Participação de usuários da atenção primária em práticas de promoção da saúde

Objetivo: Analisar os fatores associados à participação de usuários da atenção primária em práticas de promoção da saúde. Métodos: Estudo transversal de caráter descritivo e analítico, realizado no município de Vitória de Santo Antão/Pernambuco, em 2016, com 148 participantes, acima de 20 anos, cadastrados em Unidades de Saúde da Família ou no projeto de Extensão Cintura Fina. A coleta de dados ocorreu através de questionário semiestruturado, no qual constavam dados sociodemográficos, perfil clínico, hábitos alimentares, além de conhecimento e participação em práticas e atividades de promoção da saúde. A associação entre as variáveis foi realizada através do teste qui-quadrado de Pearson, adotando o nível de significância p<0,05. Resultados: Dos 148 participantes, 76,4% (n=113) foram entrevistados nas Unidades de Saúde da Família e 23,6% (n=35) no projeto de extensão, e tinham média de idade de 52,9 anos. Além disso, 93,2% (n=138) eram do sexo feminino e 57,4% (n=85) possuíam renda familiar de até um salário mínimo. A participação em grupos/atividades de promoção da saúde foi diretamente proporcional ao aumento da idade (p=<0,001), presença de comorbidades (p=0,005), uso contínuo de medicamentos (p=0,001) e o conhecimento sobre a existência dos grupos/atividades (p=0,001). Por outro lado, a participação mostrou-se menor entre os que trabalhavam (p=0,049) e residiam em domicílios com maior número de pessoas (p=0,001). Conclusão: As variáveis que se mostraram associadas à participação em atividades de promoção da saúde foram idade, presença de comorbidades, uso de medicamentos, conhecimento sobre a existência de práticas educativas, trabalho e número de pessoas por domicílio