23 research outputs found
Perfil hematolĂłgico e avaliação eletroforĂ©tica das proteĂnas sĂ©ricas de cĂŁes com cinomose
A integralidade nas açÔes da equipe de saĂșde de uma unidade de internação pediĂĄtrica
MINERALS AND PHENOLIC COMPOUNDS OF CAGAITA FRUITS AT DIFFERENT MATURATION STAGES (Eugenia dysenterica)
Relevant aspects of golden retriever muscular dystrophy for the study of Duchenne muscular dystrophy in humans
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%â18% 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
Consistent patterns of common species across tropical tree communities
Trees structure the Earthâs most biodiverse ecosystem, tropical forests. The vast number of tree species presents a formidable challenge to understanding these forests, including their response to environmental change, as very little is known about most tropical tree species. A focus on the common species may circumvent this challenge. Here we investigate abundance patterns of common tree species using inventory data on 1,003,805 trees with trunk diameters of at least 10âcm across 1,568 locations1,2,3,4,5,6 in closed-canopy, structurally intact old-growth tropical forests in Africa, Amazonia and Southeast Asia. We estimate that 2.2%, 2.2% and 2.3% of species comprise 50% of the tropical trees in these regions, respectively. Extrapolating across all closed-canopy tropical forests, we estimate that just 1,053 species comprise half of Earthâs 800 billion tropical trees with trunk diameters of at least 10âcm. Despite differing biogeographic, climatic and anthropogenic histories7, we find notably consistent patterns of common species and species abundance distributions across the continents. This suggests that fundamental mechanisms of tree community assembly may apply to all tropical forests. Resampling analyses show that the most common species are likely to belong to a manageable list of known species, enabling targeted efforts to understand their ecology. Although they do not detract from the importance of rare species, our results open new opportunities to understand the worldâs most diverse forests, including modelling their response to environmental change, by focusing on the common species that constitute the majority of their trees
Long-Baseline Neutrino Facility (LBNF) and Deep Underground Neutrino Experiment (DUNE) Conceptual Design Report Volume 2: The Physics Program for DUNE at LBNF
The Physics Program for the Deep Underground Neutrino Experiment (DUNE) at the Fermilab Long-Baseline Neutrino Facility (LBNF) is described
Chromosome numbers for Anthurium and Philodendron spp. (Araceae) occurring in Bahia, Brazil
Chromosome numbers for four species of Anthurium and four species of Philodendron from Bahia, Brazil, were determined. New counts 2n = 30 for A. longipes and A. affine, 2n = 32 for P. pedatum and 2n = 34 P. blanchetianum and P. pachyphyllum represent the first reports for these species. The 2n = 32 found for P. imbe and 2n = 90 for A. bellum differ from earlier reports, whereas 2n = 30 and 60 for A. pentaphyllum var. pentaphyllum confirms previous counts. A. affine had one to four B-chromosomes. We suggest secondary base numbers x = 15 for Anthurium and x = 16, 17 and 18 for Philodendron, produced by hybridizations and duplications involving the primary base numbers x = 7, 8 and 9.<br>O nĂșmero de cromossomos de quatro espĂ©cies de Anthurium e quatro espĂ©cies de Philodendron coletadas no Estado da Bahia, Brasil, foi determinado. As contagens 2n = 30 para A. longipes e A. affine, 2n = 32 para P. pedatum e 2n = 34 para P. blanchetianum e P. pachyphyllum representam o primeiro registro para estas espĂ©cies. Os nĂșmeros diplĂłides 2n = 32 encontrado para P. imbe e 2n = 90 para A. bellum diferem de registros anteriores, enquanto 2n = 30 e 60 para A. pentaphyllum var. pentaphyllum confirmam determinaçÔes anteriores. A. affine tem um a quatro cromossomos B. NĂłs sugerimos o nĂșmero bĂĄsico secundĂĄrio x = 15 para Anthurium e x = 16, 17 e 18 para Philodendron, produzidos por hibridaçÔes e duplicaçÔes envolvendo os nĂșmeros bĂĄsicos primĂĄrios x = 7, 8 e 9