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

Desidratação osmótica à vácuo do filé de mapará (Hypophthamus edentatus)

The aim of this work was to evaluate the process of vacuum osmotic dehydration of mapará fillet (Hypophthamus edentatus). Mapará fillets with dimensions of 5 x 2 x 0.5 cm were subjected to vacuum osmotic dehydration in accordance with a rotational central composite design 24, in which were evaluated the effects of the independent variables temperature, time, vacuum pressure and NaCl concentration on the dependent variables water loss (WL), solids gain (GS) and water activity (aw), order to obtain optimal condition of process with greater PA, lower GS and lower aw. The kinetics of osmotic dehydration of mapará was performed under optimal conditions, where were monitored the parameters PA, GS and aw as a function of process time. The empirical model proposed by Azuara et al. was used to represent the kinetics of mass transfer during the process of osmotic dehydration. The mapará fillet presented 76.70% moisture, 15.57% protein, 5.38% fat and 0.93% ash. The NaCl concentration (linear) was the variable that presented the greatest effect on the dependent variables, being positive on WL and GS and negative about the aw. The models obtained for PA, GS and aw were significant at 95% confidence and showed no significant lack of fit, being useful to predictive purposes. Was determined as optimum condition for the process: NaCl concentration 25%, temperature of 25 ° C and time of 120 min. The model proposed by Azuara et al. showed fit good to the experimental data of PA and GS kinetics of osmotic dehydration of mapará fillet. The fillet mapará had a reduction moisture after osmotic dehydration in optimal conditions, however did not meet the humidity recommended by law for salted fish, since the chloride content increased and attended law for salted fish. In relation the instrumental color were observed, after osmotic dehydration, significant statistically differences in lightness (L *) that decreased, indicating that the mapará darkened and the hue angle (h °) that increased, but still showed a tendency to yellow.CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível SuperiorO objetivo do trabalho foi avaliar o processo de desidratação osmótica a vácuo do filé de mapará (Hypophthamus edentatus). Filés de mapará com dimensões de 5 x 2 x 0,5 cm foram submetidos a desidratação osmótica a vácuo, de acordo com um delineamento composto central rotacional 24, no qual foram avaliados os efeitos das variáveis independentes temperatura, tempo, pressão de vácuo e concentração de NaCl, sobre as variáveis dependentes perda de água (PA), ganho de sólidos (GS) e atividade de água (aw), visando obter uma condição ótima de processo com maior PA, menor GS e menor aw. A cinética da desidratação osmótica do mapará foi realizada nas condições ótimas, onde foram acompanhados os parâmetros PA, GS e aw, em função do tempo de processo. O modelo empírico proposto por Azuara et al. foi utilizado para representar a cinética de transferência de massa durante o processo de desidratação osmótica. O filé de mapará apresentou 76,70% de umidade, 15,57% de proteínas, 5,38% de lipídeos e 0,93% de cinzas. A concentração de NaCl (linear) foi a variável que apresentou maior efeito sobre as variáveis dependentes, sendo positivo sobre a PA e o GS e negativo sobre a aw. Os modelos obtidos para PA, GS e aw foram significativos a 95% de confiança e apresentaram falta de ajuste não significativa, sendo úteis para fins preditivos. Foi determinada como condição ótima para o processo: concentração de NaCl de 25%, temperatura de 25°C e tempo de 120 min. O modelo proposto por Azuara et al. apresentou bons ajustes aos dados experimentais de PA e GS da cinética de desidratação osmótica do filé de mapará. O filé de mapará sofreu redução de umidade após desidratação osmótica nas condições ótimas, entretanto não atendeu a umidade recomenda pela legislação para pescado salgado, já o teor de cloretos aumentou e atendeu a legislação para pescado salgado. Em relação a cor instrumental, foram observadas, após desidratação osmótica, diferenças estatisticamente significativas para luminosidade (L*) que diminuiu, indicando que o mapará escureceu e para o ângulo de tonalidade (h°) que aumentou, mas ainda indicou tendência ao amarelo

Physical and chemical characteristics of peach palm fruits in the state of Pará

The aim of this study was to assess the physical and physical-chemical characteristics of the fruits of 21 reproductive peach palms to help guide future research on genetic improvements of the species, especially regarding the fruit pulp. Fruits from each genetic material were characterized by fruit and seed size, moisture, protein, lipid, ash, fiber and total carotenoids. Average values for all studied variables were significantly different among all individuals. Protein values ​​ranged from 4.20 to 6.79%, especially for B04-P20 that showed the highest value. Lipid levels varied markedly, with values ranging between 8.25 and 40.83%, and matrix B02-P30 presenting the greatest levels of lipids. Total carotenoids ranged from 8.02 to 124.90 mg/g, with matrices B02-P30 (124.90µg/g) and B05-P45 (123.04µg/g) presenting the highest values. The high total carotenoid values observed indicates that peach palms could make a significant contribution to antioxidants in the diet. Overall, the physical and physical-chemical assessment revealed significant differences among the studied reproductive individuals for the characters studied, indicating that this species offers considerable promise for future research on genetic improvements.O objetivo deste estudo foi caracterizar física e físico-quimicamente frutos de 21 matrizes de pupunheira (Bactris gasipaes Kunth), visando a obter subsídios que permitam avançar com o programa de melhoramento genético, em especial para características da polpa do fruto. Os frutos provenientes de diferentes genótipos foram caracterizados quanto à dimensão dos frutos e caroço, umidade, proteínas, lipídeos, cinzas, fibras e carotenoides totais. Os resultados obtidos para as diferentes variáveis analisadas demonstraram diferenças entre os frutos obtidos de diferentes genótipos. A análise de proteínas apresentou valores que variaram de 4,20 a 6,79%, com destaque para a matriz B04-P20, que apresentou o maior valor. Para lipídeos, os teores variaram bastante, com valores entre 8,25 e 40,83%, destacando-se a matriz B02-P30 com o maior teor de lipídeos. Os teores de carotenoides totais das matrizes de pupunheira variaram de 8,02 a 124,90µg/g, com destaque para as matrizes B02-P30 (124,90µg/g) e B05-P45 (123,04µg/g), indicando que a pupunha pode contribuir de maneira importante na ingestão de antioxidantes na dieta. De maneira geral, as análises físicas e físico-químicas dos frutos mostraram diferenças significativas entre as matrizes para os caracteres estudados, evidenciando ser um conjunto geneticamente promissor para a prática da seleção

Processing and characterization of extruded breakfast meal formulated with broken rice and bean flour Processamento e caracterização de refeição matinal extrusada formulada com farinha de grãos quebrados de arroz e feijão

The objective of this work was to develop an extruded breakfast product containing broken rice and split old beans and to verify the influence of the extrusion process on their physicochemical, technological, and sensory characteristic. The final product had a protein content of 9.9 g.100 g-1, and therefore it can be considered a good source of proteins for children and teenagers. The dietary fiber content of the final edible product was 3.71 g.100 g-1. Therefore, the breakfast meal may be considered as a source of dietary fiber according to Brazilian law . As for the technological properties, the extruded product presented an expansion index of 8.89 and apparent density of 0.25 g.cm-3. With regard to the sensory analysis, the acceptance average was ranked between 6.8 and 7.7, corresponding to the categories "liked slightly" and "liked very much". With regard to purchase intention, 79% of the panelists said they would certainly or possibly purchase the product. Broken rice and split old beans are interesting alternatives for the elaboration of extruded breakfast products presenting good nutritional, technological, and sensory qualities.O objetivo deste trabalho foi elaborar um produto matinal extrusado de quirera de arroz e bandinha de feijão, além de verificar a influência do processo de extrusão nas suas características físico-químicas, nutricionais, tecnológicas e sensoriais. O produto final apresentou teor considerável de proteínas (9,9 g.100 g-1), podendo ser considerado uma boa fonte desse nutriente para crianças e adolescentes. Para a fibra alimentar, observou-se teor de 3,71 g.100 g-1 do produto pronto para o consumo. Dessa forma, o floco matinal de arroz e feijão pode receber a alegação de alimento fonte de fibras, de acordo com a legislação brasileira. Com relação às propriedades tecnológicas, o extrusado estudado apresentou índice de expansão de 8,89 e densidade aparente de 0,25 g.cm-3. Quanto à análise sensorial, o floco matinal avaliado obteve notas médias de aceitação, situadas no intervalo de 6,8 a 7,7, que corresponde às categorias "gostei ligeiramente" e "gostei muito". Para a intenção de compra, 79% dos provadores opinaram que certamente ou possivelmente comprariam o produto. O emprego de quirera de arroz e bandinha de feijão é uma interessante alternativa para a elaboração de produto matinal extrusado, apresentando boas qualidades de ordem nutricional, tecnológica e sensorial