Ouvindo a fé: Descrição da paisagem sonora do Village Campestre, em Maceió, Brasil / Listening to faith: Description of the allotment Village Campestre soundscape, in Maceió, Brazil

Os sons produzidos por templos religiosos possuem valores psico-espirituais. As celebrações são balizadas por respeito e admiração dos fiéis. Devido a inadequação acústica de uma grande parcela dessas edificações, os sons religiosos invadem o espaço público e se propagam na circunvizinhança, podendo causar desconforto acústico. Para analisar esses sons de forma satisfatória, faz-se necessária a adoção de parâmetros qualitativos, necessários para compreender a inserção dos sons na paisagem sonora local. Nesse sentido, este trabalho tem como objetivo caracterizar a paisagem sonora do loteamento Village Campestre, Maceió-AL e verificar a relevância dos sons produzidos por templos religiosos nesse cenário. Para a realização do estudo, adotou-se um método misto composto por avaliação qualitativa e quantitativa de um estudo de caso. Foi realizada a descrição do objeto de estudo, a coleta de dados acústicos de acordo com as Normas Brasileiras, a descrição dos eventos sonoros identificados e entrevista baseada em formulário sobre a percepção sonora dos moradores. Com a análise dos resultados, percebeu-se que os dados acústicos quantitativos ultrapassaram os limites recomendados pela Normas Brasileiras, com altos níveis sonoros. No entanto, os dados qualitativos demonstraram que o fator psico-espiritual interfere na interpretação do som. Quanto à descrição da paisagem sonora local, notou-se a inserção dos sons religiosos na paisagem sonora local, pelo reconhecimento dos mesmos pelos indivíduos. 

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

PANC NAS RESTINGAS DA ILHA DO MARANHÃO: USOS POTENCIAIS DAS ESPÉCIES DE MYRTACEAE

A família Myrtaceae apresenta distribuição pantropical, destacando-se no Brasil como uma das famílias de angiospermas de maior riqueza. Apesar de serem popularmente utilizadas na alimentação, apresentam usos não convencionais, o que indica que algumas espécies podem ser reconhecidas como Plantas Alimentícias não Convencionais (PANC). As PANC são plantas que, por serem de fácil cultivo, oferecem baixos custos e impactos, sendo uma alternativa para hábitos de vida mais sustentáveis; além de serem ricas em nutrientes. Este estudo tem como objetivo destacar o potencial de utilização das espécies de Myrtaceae que ocorrem em áreas de restinga e que podem agregar na alimentação. Este estudo analisou as espécies de Myrtaceae que ocorrem nas restinga da Ilha do Maranhão que é formada por quatro municípios. Para elaborar o checklist das espécies foi realizado um levantamento bibliográfico entre os meses de setembro de 2021 à julho de 2022 em diferentes plataformas de buscas.  Foram listadas sete espécies de Myrtaceae com potencial alimentício, destacando-se diferentes formas usos como sucos, geleias, sorvetes, corantes e farinha para biscoitos e até in natura. A partir dos dados obtidos conclui-se que as espécies de Myrtaceae das restingas da Ilha do Maranhão possuem grande potencial alimentício não convencional, podendo colaborar tanto para o aumento de possibilidades alimentares como para diminuição do desperdício dos alimentos visando o aproveitamento máximo

POTENCIAL DE USO TECNOLÓGICO DAS ESPÉCIES VEGETAIS DAS RESTINGAS DO MARANHÃO

O litoral brasileiro, devido a extensão territorial, possui uma grande diversidade vegetal. Considerando a costa do Maranhão, apresentam-se as restingas, que além de desempenharem papéis ecológicos, oferecem uma variedade de usos para as comunidades locais, incluindo o tecnológico. O presente estudo propõe listar as espécies vegetais encontradas nas áreas de restinga do Maranhão, com foco no uso tecnológico, destacando o potencial das espécies vegetais. O estudo foi realizado a partir de uma revisão bibliográfica, considerando artigos publicados entre 2016 à 2022 obtidos em plataformas de busca (Google Acadêmico, Scielo e Periódicos CAPES), por meio desse levantamento foi elaborado um checklist com as espécies vegetais para a restinga do Maranhão. Em seguida foram compiladas informações sobre as formas de uso das espécies vegetais a partir de um novo levantamento bibliográfico. As buscas foram realizadas nas plataformas citadas anteriormente utilizando o nome da planta e adicionando a palavra-chave “forma de uso”, “categoria de uso” e/ou “uso tecnológico”. Assim, foram registradas informações sobre o uso tecnológico de 32 espécies, pertencentes a 20 famílias. A madeira é um dos principais recursos retirados das plantas encontradas nas restingas. Destacam-se as espécies Cereus jamacaru (Cactaceae), Byrsonima crassifolia (Malpighiaceae), Senna pendula (Fabaceae), Manilkara bidentata (Sapotaceae), Spondias tuberosa (Anacardiaceae) e Copernicia prunifera (Arecaceae). É importante destacar que as espécies com uso tecnológico são utilizadas em vários Estados do Brasil e podem ser usadas como a mesma finalidade no Maranhão, garantindo que a população utilize as espécies vegetais da restinga. Além disso, o estudo reforça a necessidade de conservar e proteger esse ecossistema e as espécies que se desenvolvem

Hemato-biochemical profile of meat cattle submitted to different types of pre-loading handling and transport times

Pre-loading handling and conditions of transport are related to welfare, disease risk and product quality of production animals. These steps continue to be one of the major animal management problems in Brazil. This study evaluated the effects of different types of pre-loading handling and road transport times on the haematological and biochemical traits of cattle. Eighteen male cattle were submitted to three travel times (24, 48 and 72 h) in a truck soon after load using different types of pre-loading handling: traditional (rough handling), training (gentle handling) and use of flags to movement cattle. Haematological traits, blood biochemical measures as well as blood and faecal cortisol were analysed in order to assess animal welfare and physiological status. The traditional management showed to be more stressful, also had animals with a greater number of neutrophils and lower numbers of lymphocytes than handling with flags, showing that animals submitted to more stressful situations can have compromised immune system. Serum aspartate aminotransferase concentrations were within the reference levels and when taken together with increased creatine kinase patterns observed indicate muscle damage in traditional management. Decrease in glucose concentrations over time from traditional management to flag management was observed, while fructosamine was increased in traditional management with 72 h of travel. When taken together, all reported factors, immune, enzymatic, energetic and hormonal, indicate that the quality of pre-loading handling and time of transport were determinant for animal welfare, its homeostatic balance and sanitary conditions

Hemato-biochemical profile of meat cattle submitted to different types of pre-loading handling and transport times

Pre-loading handling and conditions of transport are related to welfare, disease risk and product quality of production animals. These steps continue to be one of the major animal management problems in Brazil. This study evaluated the effects of different types of pre-loading handling and road transport times on the haematological and biochemical traits of cattle. Eighteen male cattle were submitted to three travel times (24, 48 and 72 h) in a truck soon after load using different types of pre-loading handling: traditional (rough handling), training (gentle handling) and use of flags to movement cattle. Haematological traits, blood biochemical measures as well as blood and faecal cortisol were analysed in order to assess animal welfare and physiological status. The traditional management showed to be more stressful, also had animals with a greater number of neutrophils and lower numbers of lymphocytes than handling with flags, showing that animals submitted to more stressful situations can have compromised immune system. Serum aspartate aminotransferase concentrations were within the reference levels and when taken together with increased creatine kinase patterns observed indicate muscle damage in traditional management. Decrease in glucose concentrations over time from traditional management to flag management was observed, while fructosamine was increased in traditional management with 72 h of travel. When taken together, all reported factors, immune, enzymatic, energetic and hormonal, indicate that the quality of pre-loading handling and time of transport were determinant for animal welfare, its homeostatic balance and sanitary conditions