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

Índice de masa corporal presenta buena correlación con el perfil proaterosclerótico en niños y adolescentes

FUNDAMENTO: Recentemente, uma associação de diferentes fatores de risco foi descrita como a síndrome metabólica. Diferentes definições estão sendo utilizadas para a mesma síndrome. Independente do nome ou da classificação, estabeleceu-se que um agrupamento de fatores de risco cardiovasculares incluindo sobrepeso/obesidade, aumento da pressão arterial e anormalidade lipídicas e glicêmicas está associado com aumento do risco de aterosclerose em adultos. OBJETIVO: O objetivo desse estudo foi correlacionar os percentis do índice de massa corporal com a pressão arterial (PA), índice de resistência à insulina (HOMA-ir) e perfis lipídicos em crianças e adolescentes, os quais caracterizam um perfil pró-aterosclerótico. MÉTODOS: Agrupamentos de fatores de risco cardiovasculares foram avaliados em 118 crianças e adolescentes, divididos de acordo com os quartis do percentil de índice de massa corporal (PIMC): Q1 (n=23) com PIMC <50%, Q2 (n=30) com PIMC entre 50 e 85%, Q3 (n=31) com PIMC entre 85 e 93%, e Q4 (n=34) com PIMC > 93%. Estatisticamente, diferenças significantes não foram observadas para idade (F=2,1; p=0,10); sexo (teste Qui-quadrado=3,0; p=0,38), e etnia (teste do Qui-quadrado = 4,7; p=0,20) entre diferentes quartis. RESULTADOS: Uma diferença estatisticamente significante foi observada para PA sistólica (F=15,4; p<0,0001), PA diastólica (F=9,5; p<0,0001), glicemia (F=9,6; p<0,0001), insulina (F=12.9; p<0.0001), HOMA-ir (F=30,8; p<0,0001), e níveis de triglicérides (F=2,7; p=0,05) entre os diferentes quartis. CONCLUSÃO: O excesso de peso avaliado pelo PIMC foi associado ao aumento de PA, triglicérides, índice HOMA-ir, e HDL - colesterol baixo, o que configura um perfil pró-aterosclerótico em crianças e adolescentes.BACKGROUND: More recently, the association of different risk factors has been described as the metabolic syndrome. Different definitions are being used for the same syndrome. Regardless of the name or classification, it has been well established that a cardiovascular cluster including overweight/obesity, increased blood pressure, and lipid and glucose abnormalities are associated with an increased risk of atherosclerosis in adults. OBJECTIVE: The aim of this study was to correlate body mass index percentiles with blood pressure, insulin resistance index, and lipid profiles in children and adolescents, which characterize a proatherosclerotic profile. METHODS: Cardiovascular risk factor clusters were evaluated in 118 children and adolescents divided according to body mass index percentile (BMIP) quartiles: Q1 (n=23) with BMIP <50%, Q2 (n=30) with BMIP between 50 and 85%, Q3 (n=31) with BMIP between 85 and 93%, and Q4 (n=34) with the BMIP > 93%. Statistically significant differences were not observed for age (F=2.1; p=0.10); sex (chi-square test=3.0; p=0.38), and ethnicity (chi-square test=4.7; p=0.20) between different quartiles. RESULTS: A statistically significant difference was observed for systolic BP (F=15.4; p<0.0001), diastolic BP (F=9.5; p<0.0001), glycemia (F=9.6; p<0.0001), insulin (F=12.9; p<0.0001), HOMAir (F=30.8; p<0.0001), and triglyceride levels (F=2.7; p=0.05) between the different quartiles. CONCLUSION: Excess weight evaluated by BMIP was associated with increased blood pressure, triglycerides, HOMAir index, and low HDL-cholesterol, a proatherosclerotic profile in children and adolescents.FUNDAMENTO: Recientemente, una asociación de diferentes factores de riesgo se describió como el síndrome metabólico. Se están utilizando diferentes definiciones para el mismo síndrome. Independientemente del nombre o de la clasificación, se estableció que un agrupamiento de factores de riesgo cardiovascular, incluyendo sobrepeso/obesidad, aumento de la presión arterial y anormalidades lipídicas y glicémicas está asociado al aumento de riesgo de aterosclerosis en adultos. OBJETIVO: El objetivo de este estudio fue correlacionar los percentiles del índice de masa corporal con la presión arterial (PA), índice de resistencia a la insulina (HOMA-ir) y perfiles lipídicos en niños y adolescentes, los cuales caracterizan un perfil proaterosclerótico. MÉTODOS: Se evaluaron agrupamientos de factores de riesgo cardiovascular en 118 niños y adolescentes, divididos de acuerdo con los cuartiles del percentil de índice de masa corporal (PIMC): Q1 (n=23) con PIMC <50%, Q2 (n=30) con PIMC entre 50 y 85%, Q3 (n=31) con PIMC entre 85 y 93%, y Q4 (n=34) con PIMC > 93%. Estadísticamente, no se observaron diferencias significativas para la edad (F=2,1; p=0,10); sexo (test Ji cuadrado=3,0; p=0,38), y origen étnico (test Ji cuadrado = 4,7; p=0,20) entre diferentes cuartiles. RESULTADOS: Una diferencia estadísticamente significativa se observó para PA sistólica (F=15,4; p<0,0001), PA diastólica (F=9,5; p<0,0001), glucemia (F=9,6; p<0,0001), insulina (F=12.9; p<0.0001), HOMA-ir (F=30,8; p<0,0001), y niveles de triglicéridos (F=2,7; p=0,05) entre los diferentes cuartiles. CONCLUSIÓN: El exceso de peso evaluado por el PIMC se asoció al aumento de PA, triglicéridos, índice HOMA-ir, y HDL - colesterol bajo, lo que configura un perfil proaterosclerótico en niños y adolescentes

Núcleos de Ensino da Unesp: artigos 2011: volume 3: tecnologias da informação e comunicação e material pedagógico

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP

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 ALIEN MAMMALS: a data set of occurrence and abundance of alien mammals in the Neotropics

Biological invasion is one of the main threats to native biodiversity. For a species to become invasive, it must be voluntarily or involuntarily introduced by humans into a nonnative habitat. Mammals were among first taxa to be introduced worldwide for game, meat, and labor, yet the number of species introduced in the Neotropics remains unknown. In this data set, we make available occurrence and abundance data on mammal species that (1) transposed a geographical barrier and (2) were voluntarily or involuntarily introduced by humans into the Neotropics. Our data set is composed of 73,738 historical and current georeferenced records on alien mammal species of which around 96% correspond to occurrence data on 77 species belonging to eight orders and 26 families. Data cover 26 continental countries in the Neotropics, ranging from Mexico and its frontier regions (southern Florida and coastal-central Florida in the southeast United States) to Argentina, Paraguay, Chile, and Uruguay, and the 13 countries of Caribbean islands. Our data set also includes neotropical species (e.g., Callithrix sp., Myocastor coypus, Nasua nasua) considered alien in particular areas of Neotropics. The most numerous species in terms of records are from Bos sp. (n = 37,782), Sus scrofa (n = 6,730), and Canis familiaris (n = 10,084); 17 species were represented by only one record (e.g., Syncerus caffer, Cervus timorensis, Cervus unicolor, Canis latrans). Primates have the highest number of species in the data set (n = 20 species), partly because of uncertainties regarding taxonomic identification of the genera Callithrix, which includes the species Callithrix aurita, Callithrix flaviceps, Callithrix geoffroyi, Callithrix jacchus, Callithrix kuhlii, Callithrix penicillata, and their hybrids. This unique data set will be a valuable source of information on invasion risk assessments, biodiversity redistribution and conservation-related research. There are no copyright restrictions. Please cite this data paper when using the data in publications. We also request that researchers and teachers inform us on how they are using the data

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