Pervasive gaps in Amazonian ecological research

Biodiversity loss is one of the main challenges of our time, and attempts to address it require a clear understanding of how ecological communities respond to environmental change across time and space. While the increasing availability of global databases on ecological communities has advanced our knowledge of biodiversity sensitivity to environmental changes, vast areas of the tropics remain understudied. In the American tropics, Amazonia stands out as the world's most diverse rainforest and the primary source of Neotropical biodiversity, but it remains among the least known forests in America and is often underrepresented in biodiversity databases. To worsen this situation, human-induced modifications 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, 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

Determination of electrolytes, hemogasometry, osmalility, hematocrit, hemoglobin, base concentration, and anion gap in detrained equines submitted a maximum and submaximum exercise on treadmill

Estudaram-se as alterações nos eletrólitos, nos gases sanguíneos, na osmolalidade, no hematócrito, na hemoglobina, nas bases tituláveis e no anion gap no sangue venoso de 11 equinos da raça Puro Sangue Árabe, destreinados, submetidos a exercício máximo e submáximo em esteira rolante. Esses animais passaram por período de três dias de adaptação à esteira rolante e posteriormente realizaram dois exercícios testes, um de curta e outro de longa duração. Foram coletadas amostras de sangue venoso antes, imediatamente após e 30 minutos após o término dos exercícios. Após a realização do exercício máximo, observou-se diminuição significativa no pHv, na PvCO2, no HCO3, na cBase além de elevação no AG. Detectou-se também aumento do K+, do Ht e da Hb. Ao final do exercício submáximo, constatou-se somente aumento significativo no pHv, na cBase, na SatvO2 e na PvO2. Conclui-se que os equinos submetidos a exercício máximo desenvolveram acidose metabólica e alcalose respiratória compensatória, hipercalemia e aumento nos valores de hematócrito e hemoglobina. No exercício submáximo, os animais apresentaram alcalose metabólica hipoclorêmica e não ocorreram alterações no equilíbrio hidroeletrolítico.Changes in electrolytes, blood gas, osmolality, hematocrit, hemoglobin, base concentration, and anion gap in 11 detrained Arabian horses during exercise on a high-speed treadmill were investigated. After a period of three days of adaptation on the rolling mat, the animals were submitted to two exercises: one of short (maximum) and other of long duration (submaximum). Venous blood samples were obtained right before, and 30 minutes after the exercise. After the maximum exercise, it was observed a significative decrease in pHv, PvCO2, HCO3, and cBase and an increase in AG. It was also observed hypercalemia and increase in Ht and Hb. At the final of the submaximum exercise, it was observed significative increase in pH, cBase, SatvO2, and PvO2. So, maximum exercises can lead equines to present metabolic acidosis with respiratory alkalosis as response, hypercalemia and increase in hematocrit and hemoglobin, values. Submaximum exercises can present hypochloremic metabolic alkalosis but no alterations in the hydroelectrolitic balance

Corrective shoeing in horses: analysis of the adaptation period to the new condition imposed

Corrective shoeing is a method commonly used to alter the locomotion pattern in animals or as therapy for various disorders of the locomotive system of horses. However, to date, there have been no scientific studies discussing the period during which animals adapt to this type of intervention. The goal of this study was to evaluate the horseshoe adaptation period with the toe or heel elevated by six degrees at 0, 48, and 96 hours after each type of shoeing. For this analysis, the horses were recorded while walking on a treadmill. Stride length and gait qualitative analyzes were performed using Dvideow software. The level of significance adopted was 5%. In the present study, there was no significant difference between the evaluation times; elevating the toe or heel by six degrees do not generates discomfort during locomotion, therefore, horses are able to return to a regular exercise or training routine immediately after shoeing

Do hematologic constituents really increase due to endurance exercise in horses?

The aim of this study was to evaluate the behavior of blood constituents in a group of horses that successfully completed long endurance rides in tropical conditions. Jugular vein puncture was done to collect blood before, during and after rides. Data were analyzed using a mathematic approach, based on the hematocrit and blood volume where the percentual change in plasma volume was used to correct the values of each variable analyzed. Significance was inferred when P<0.05. The proposed mathematical model to assess blood constituents concentrations allowed the observation of a different pattern of the variables behavior, pointing out that the approach followed by the authors could be more sensitive than ones that did not take this routine. In conclusion, the method used in this study enabled to monitor the physiological processes that actually occur during endurance effort in tropical conditions

Giants of the Amazon: How does environmental variation drive the diversity patterns of large trees?

For more than three decades, major efforts in sampling and analyzing tree diversity in South America have focused almost exclusively on trees with stems of at least 10 and 2.5 cm diameter, showing highest species diversity in the wetter western and northern Amazon forests. By contrast, little attention has been paid to patterns and drivers of diversity in the largest canopy and emergent trees, which is surprising given these have dominant ecological functions. Here, we use a machine learning approach to quantify the importance of environmental factors and apply it to generate spatial predictions of the species diversity of all trees (dbh ≥ 10 cm) and for very large trees (dbh ≥ 70 cm) using data from 243 forest plots (108,450 trees and 2832 species) distributed across different forest types and biogeographic regions of the Brazilian Amazon. The diversity of large trees and of all trees was significantly associated with three environmental factors, but in contrasting ways across regions and forest types. Environmental variables associated with disturbances, for example, the lightning flash rate and wind speed, as well as the fraction of photosynthetically active radiation, tend to govern the diversity of large trees. Upland rainforests in the Guiana Shield and Roraima regions had a high diversity of large trees. By contrast, variables associated with resources tend to govern tree diversity in general. Places such as the province of Imeri and the northern portion of the province of Madeira stand out for their high diversity of species in general. Climatic and topographic stability and functional adaptation mechanisms promote ideal conditions for species diversity. Finally, we mapped general patterns of tree species diversity in the Brazilian Amazon, which differ substantially depending on size class