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

Realce tardio e perfusão miocárdica em cardiomiopatia hipertrófica (comparação entre grupos) Realce tardío y perfusión miocárdica en cardiomiopatía hipertrófica (comparación entre grupos) Late enhancement and myocardial perfusion in hypertrophic cardiomyopathy (comparison betw een groups)

FUNDAMENTO: A ressonância magnética é um método eficaz para estudo da cardiomiopatia hipertrófica. OBJETIVO: Avaliar, pela ressonância magnética, os parâmetros de função sistólica, perfusão e viabilidade miocárdica em pacientes portadores de cardiomiopatia hipertrófica, comparando os grupos com e sem obstrução na via de saída do ventrículo esquerdo. MÉTODO: Vinte e um pacientes com diagnóstico de cardiomiopatia hipertrófica realizaram estudos de função, viabilidade e perfusão miocárdica nas fases de estresse e de repouso pela ressonância magnética. RESULTADOS: Os segmentos ventriculares mais comprometidos pela hipertrofia foram os da região septal. O grupo obstrutivo apresentou distribuição segmentar de espessura miocárdica semelhante ao não-obstrutivo, porém com maiores médias que o primeiro grupo. A média da fração de ejeção dos pacientes do grupo obstrutivo foi maior que o grupo não-obstrutivo, enquanto as médias dos volumes sistólico e diastólico finais foram menores no grupo obstrutivo. Houve correlação positiva entre a espessura segmentar do ventrículo e a massa segmentar do realce tardio. A indução de estresse determinou aumento do número de segmentos com alteração de perfusão e essa alteração foi mais evidente no grupo obstrutivo. CONCLUSÃO: Os segmentos ventriculares com maior espessura são os septais. As regiões hipertróficas estão associadas à maior extensão de realce tardio. Houve correlação positiva entre as áreas de hipertrofia ventricular e perfusão miocárdica alterada, e esses achados foram mais evidentes no grupo obstrutivo.<br>FUNDAMENTO: La resonancia magnética es un método eficaz para estudio de la cardiomiopatía hipertrófica. OBJETIVO: Evaluar, por la resonancia magnética, los parámetros de función sistólica, perfusión y viabilidad miocárdica en pacientes portadores de cardiomiopatía hipertrófica, comparando los grupos con y sin obstrucción en la vía de salida del ventrículo izquierdo. MÉTODO: Veinte y un pacientes con diagnóstico de cardiomiopatía hipertrófica realizaron estudios de función, viabilidad y perfusión miocárdica en las fases de estrés y de reposo por la resonancia magnética. RESULTADOS: Los segmentos ventriculares más comprometidos por la hipertrofia fueron los de la región septal. El grupo obstructivo presentó distribución segmental de espesor miocárdico semejante al no obstructivo, pero con mayores promedios que el primer grupo. El promedio de la fracción de eyección de los pacientes del grupo obstructivo fue mayor que el grupo no obstructivo, mientras que los promedios de los volúmenes sistólico y diastólico finales se hallaron menores en el grupo obstructivo. Hubo correlación positiva entre el espesor de los segmentos del ventrículo y la masa segmental del realce tardío. La inducción de estrés determinó aumento del número de segmentos con alteración de perfusión, y esa alteración fue más evidente en el grupo obstructivo. CONCLUSIÓN: Los segmentos ventriculares con mayor espesor son los septales. Las regiones hipertróficas están asociadas a la mayor extensión de realce tardío. Hubo correlación positiva entre las áreas de hipertrofia ventricular y perfusión miocárdica alterada, y estos hallazgos fueron más evidentes en el grupo obstructivo.<br>BACKGROUND: The magnetic resonance imaging (MRI) is an effective method to study hypertrophic cardiomyopathy (HCM). OBJECTIVE: To evaluate, using MRI, the parameters of systolic function, perfusion and myocardial viability in patients with HCM, comparing the groups with and without obstruction of the left ventricular outflow tract. METHODS: Twenty-one patients with a diagnosis of HCM underwent the assessment of myocardial function, viability and perfusion under stress and at rest through MRI. RESULTS: The ventricular segments most severely impaired by hypertrophy were those of the septal region. The obstructive group presented segmental myocardial thickening distribution similar to the non-obstructive group, but with higher means than the first group. The mean ejection fraction of the patients in the obstructive group was higher than in the non-obstructive group, whereas the means of the end systolic and diastolic volumes were lower in the obstructive group. There was a positive correlation between the ventricular segmental thickening and the late enhancement segmental mass. The stress induction resulted in an increase in the number of segments with perfusion alterations and this alteration was more evident in the obstructive group. CONCLUSION: The thickest ventricular segments are the septal ones. The hypertrophic regions are associated to a greater extension of late enhancement. There was a positive correlation between the areas of ventricular hypertrophy and altered myocardial perfusion and these findings were more evident in the obstructive group

Neotropical freshwater fisheries : A dataset of occurrence and abundance of freshwater fishes in the Neotropics

The Neotropical region hosts 4225 freshwater fish species, ranking first among the world's most diverse regions for freshwater fishes. Our NEOTROPICAL FRESHWATER FISHES data set is the first to produce a large-scale Neotropical freshwater fish inventory, covering the entire Neotropical region from Mexico and the Caribbean in the north to the southern limits in Argentina, Paraguay, Chile, and Uruguay. We compiled 185,787 distribution records, with unique georeferenced coordinates, for the 4225 species, represented by occurrence and abundance data. The number of species for the most numerous orders are as follows: Characiformes (1289), Siluriformes (1384), Cichliformes (354), Cyprinodontiformes (245), and Gymnotiformes (135). The most recorded species was the characid Astyanax fasciatus (4696 records). We registered 116,802 distribution records for native species, compared to 1802 distribution records for nonnative species. The main aim of the NEOTROPICAL FRESHWATER FISHES data set was to make these occurrence and abundance data accessible for international researchers to develop ecological and macroecological studies, from local to regional scales, with focal fish species, families, or orders. We anticipate that the NEOTROPICAL FRESHWATER FISHES data set will be valuable for studies on a wide range of ecological processes, such as trophic cascades, fishery pressure, the effects of habitat loss and fragmentation, and the impacts of species invasion and climate change. There are no copyright restrictions on the data, and please cite this data paper when using the data in publications

NEOTROPICAL CARNIVORES: a data set on carnivore distribution in the Neotropics

Mammalian carnivores are considered a key group in maintaining ecological health and can indicate potential ecological integrity in landscapes where they occur. Carnivores also hold high conservation value and their habitat requirements can guide management and conservation plans. The order Carnivora has 84 species from 8 families in the Neotropical region: Canidae; Felidae; Mephitidae; Mustelidae; Otariidae; Phocidae; Procyonidae; and Ursidae. Herein, we include published and unpublished data on native terrestrial Neotropical carnivores (Canidae; Felidae; Mephitidae; Mustelidae; Procyonidae; and Ursidae). NEOTROPICAL CARNIVORES is a publicly available data set that includes 99,605 data entries from 35,511 unique georeferenced coordinates. Detection/non-detection and quantitative data were obtained from 1818 to 2018 by researchers, governmental agencies, non-governmental organizations, and private consultants. Data were collected using several methods including camera trapping, museum collections, roadkill, line transect, and opportunistic records. Literature (peer-reviewed and grey literature) from Portuguese, Spanish and English were incorporated in this compilation. Most of the data set consists of detection data entries (n = 79,343; 79.7%) but also includes non-detection data (n = 20,262; 20.3%). Of those, 43.3% also include count data (n = 43,151). The information available in NEOTROPICAL CARNIVORES will contribute to macroecological, ecological, and conservation questions in multiple spatio-temporal perspectives. As carnivores play key roles in trophic interactions, a better understanding of their distribution and habitat requirements are essential to establish conservation management plans and safeguard the future ecological health of Neotropical ecosystems. Our data paper, combined with other large-scale data sets, has great potential to clarify species distribution and related ecological processes within the Neotropics. There are no copyright restrictions and no restriction for using data from this data paper, as long as the data paper is cited as the source of the information used. We also request that users inform us of how they intend to use the data