The international course Emerging Viruses: Global Approaches and Specificities of the Amazon Region was held in Porto Velho, Rondonia, Brazil, November 17-December 7, 2007. Organized as part of the Amsud-Pasteur research collaboration program (sponsored by Institut Pasteur), the course was held there primarily because Rondonia State is located in the Amazon region, a particular environment in which new viruses could emerge as a consequence of ecologic changes brought about by exploration and other human activities.
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Multiparameter analysis of small non-flying mammals' response to forest restoration post-bauxite mining in eastern Amazonia.
PLoS One
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Laboratory of Ecology and Zoology of Vertebrates, Institute of Biological Science, Federal University of Pará, Belém, Pará, Brazil.
Bauxite mining has been caused severe changes in the natural ecosystems of the Amazon, but the restoration of these areas is mandatory by federal law in Brazil. The recolonization of fauna is crucial to establishing the ecological functions of recovering forests, and the small nonflying mammals can stand out in this process. Assessing taxonomic and functional diversity parameters, we demonstrated that in the early stages of forest recovery post-bauxite mining, between 6 and 11 years, it is possible to restore approximately 45% of the richness of small non-flying mammal species from the original habitats, that in this case were altered Primary Forests.
View Article and Find Full Text PDFNew Henneguya Species Cause Gill Disease of Commercial Amazonian Fish.
Acta Parasitol
January 2025
Laboratory of Morpho-Molecular Integration and Technologies (LIMT), Federal Rural University of the Amazon (UFRA), Belém, Pará, Brazil.
Background: Freshwater fish are affected with much parasitic diseases, among the most common are Henneguyosis caused by myxozoans of the genus Henneguya, which exhibit great diversity in fish from South America, particularly in the Brazilian Amazon.
Purpose: In this present study, we describe the morphological and phylogenetic aspects of the small ribosomal subunit (SSU rDNA) of two new species of Henneguya infecting the gills from Hypophthalmus marginatus, a freshwater catfish from the Amazon.
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Physical and Sensory Long-Term Disabilities from Snakebite Envenomings in Manaus, Western Brazilian Amazon.
Toxins (Basel)
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Graduate Program in Tropical Medicine, State University of Amazonas, Manaus 69040-000, Amazonas, Brazil.
Snakebites caused by snakes are the most prevalent in the Amazon region, causing local and systemic complications. Local complications are mostly represented by necrosis, secondary bacterial infection and compartment syndrome. There are reports of long-term disabilities, but their burden is poorly investigated.
View Article and Find Full Text PDFDiversity of hemipterans in Eucalyptus spp. plantations in southeastern pará, Eastern Amazon, Brazil.
Neotrop Entomol
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Institute of Agricultural Sciences, Federal Rural University of the Amazon - UFRA, Belém, PA, Brazil.
Brazil has 10.2 million hectares of reforestation, which account for 81% of the timber produced in the country. The order Hemiptera contains the main phytophagous species.
View Article and Find Full Text PDFOnline analysis of Amazon's soils through reflectance spectroscopy and cloud computing can support policies and the sustainable development.
J Environ Manage
January 2025
Geotechnologies in Soil Sciences Research Group - GeoCiS, Department of Soil Science, Luiz de Queiroz College of Agriculture - Esalq, University of São Paulo - USP, Piracicaba, São Paulo, Brazil. Electronic address:
Analyzing soil in large and remote areas such as the Amazon River Basin (ARB) is unviable when it is entirely performed by wet labs using traditional methods due to the scarcity of labs and the significant workforce requirements, increasing costs, time, and waste. Remote sensing, combined with cloud computing, enhances soil analysis by modeling soil from spectral data and overcoming the limitations of traditional methods. We verified the potential of soil spectroscopy in conjunction with cloud-based computing to predict soil organic carbon (SOC) and particle size (sand, silt, and clay) content from the Amazon region.
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