Ocorrencia e abundância de espécies de plantas ameaçadas de extinção no entorno do reservatório da UHE Barra Grande.

Modelos de ocorrência e abundância de espécies são ferramentas atuais que devem ser incorporadas na conservação da biodiversidade no entorno de reservatórios de usinas hidroelétricas, prevendo ou planejando ações necessárias para mitigar os impactos ambientais destes empreendimentos. Neste estudo, nossos objetivos foram: modelar a ocorrência e abundância de espécies de plantas ameaçadas de extinção, verificar a relação entre a ocorrência prevista e a abundância observada e avaliar se os modelos baseados em abundância são mais eficientes em predizer a ocorrência do que aqueles baseados em dados de ocorrência (0/1). Representantes individuais de nove espécies (Araucaria angustifolia (Bertol.) Kuntze (Araucariaceae), Butia eriospatha (Mart. ex Drude) Becc. (Arecaceae), Clethra scabra Pers. (Clethraceae), Dicksonia sellowiana (Presl.) Hook. (Dicksoniaceae), Erythrina falcata Benth. (Fabaceae), Maytenus ilicifolia (Schrad.) Planch. (Celastraceae), Myrocarpus frondosus Allemão (Fabaceae), Podocarpus lambertii Klotzsch ex Endl. (Podocarpaceae) e Trithrinax brasiliensis Mart (Arecaceae)) foram contados em 388 parcelas (10x50m) aleatoriamente alocadas e georreferenciadas no entorno do reservatório da UHE Barra Grande (SC/RS). Modelamos sua relação com 15 variáveis ambientais utilizando dados de ocorrência (GLM) e abundância (Modelos Hurdle e Zero-inflado). Em geral, os modelos de ocorrência foram mais precisos do que os modelos de abundância. Para todas as espécies, a abundância observada foi correlacionada com a probabilidade de ocorrência, sugerindo que estudos futuros poderiam utilizar esta informação, em vez da abundância. Reconstruir padrões de abundância e de ocorrência é uma importante ferramenta para o planejamento de ações de conservação e manejo de espécies ameaçadas, permitindo que sejam indicadas as melhores áreas para a coleta e reintrodução de germoplasma vegetal ou mesmo a escolha de áreas de conservação com maior probabilidade de manter populações viáveis

Methanol Oxidation Genes in the Marine Methanotroph Methylomonas sp. Strain A4

Methanol dehydrogenase has been purified from the type I marine methanotroph Methylomonas sp. strain A4 and found to be similar to other methanol dehydrogenase enzymes in subunit composition, molecular mass, and N-terminal sequence of the two subunits. A heterologous gene probe and a homologous oligonucleotide have been used to identify a DNA fragment from Methylomonas sp. strain A4 which contains moxF, the gene encoding the large subunit of methanol dehydrogenase. Protein expression experiments with Escherichia coli, immunoblotting of expression extracts, and partial DNA sequence determination have confirmed the presence of moxF on this DNA fragment. In addition, expression and immunoblot experiments have shown the presence of the genes for the small subunit of methanol dehydrogenase (moxI) and for the methanol dehydrogenase-specific cytochrome c (moxG). The moxG gene product has been shown to be cytochrome c552. The expression experiments have also shown that two other genes are present on this DNA fragment, and our evidence suggests that these are the homologs of moxJ and moxR, whose functions are unknown. Our data suggest that the order of these genes in Methylomonas sp. strain A4 is moxFJGIR, the same as in the facultative methylotrophs. The transcriptional start site for moxF was mapped. The sequence 5' to the transcriptional start does not resemble other promoter sequences, including the putative moxF promoter sequence of facultative methylotrophs. These results suggest that although the order of these genes and the N-terminal amino acid sequence of MoxF and MoxI are conserved between distantly related methylotrophs, the promoters for this gene cluster differ substantially

Stochastic analysis of surface roughness

For the characterization of surface height profiles we present a new stochastic approach which is based on the theory of Markov processes. With this analysis we achieve a characterization of the complexity of the surface roughness by means of a Fokker-Planck or Langevin equation, providing the complete stochastic information of multiscale joint probabilities. The method was applied to different road surface profiles which were measured with high resolution. Evidence of Markov properties is shown. Estimations for the parameters of the Fokker-Planck equation are based on pure, parameter free data analysis

Etched Glass Surfaces, Atomic Force Microscopy and Stochastic Analysis

The effect of etching time scale of glass surface on its statistical properties has been studied using atomic force microscopy technique. We have characterized the complexity of the height fluctuation of a etched surface by the stochastic parameters such as intermittency exponents, roughness, roughness exponents, drift and diffusion coefficients and find their variations in terms of the etching time.Comment: 5 pages, 6 figures

Further functional determinants

Functional determinants for the scalar Laplacian on spherical caps and slices, flat balls, shells and generalised cylinders are evaluated in two, three and four dimensions using conformal techniques. Both Dirichlet and Robin boundary conditions are allowed for. Some effects of non-smooth boundaries are discussed; in particular the 3-hemiball and the 3-hemishell are considered. The edge and vertex contributions to the $C_{3/2}$ coefficient are examined.Comment: 25 p,JyTex,5 figs. on request

Markov Properties of Electrical Discharge Current Fluctuations in Plasma

Using the Markovian method, we study the stochastic nature of electrical discharge current fluctuations in the Helium plasma. Sinusoidal trends are extracted from the data set by the Fourier-Detrended Fluctuation analysis and consequently cleaned data is retrieved. We determine the Markov time scale of the detrended data set by using likelihood analysis. We also estimate the Kramers-Moyal's coefficients of the discharge current fluctuations and derive the corresponding Fokker-Planck equation. In addition, the obtained Langevin equation enables us to reconstruct discharge time series with similar statistical properties compared with the observed in the experiment. We also provide an exact decomposition of temporal correlation function by using Kramers-Moyal's coefficients. We show that for the stationary time series, the two point temporal correlation function has an exponential decaying behavior with a characteristic correlation time scale. Our results confirm that, there is no definite relation between correlation and Markov time scales. However both of them behave as monotonic increasing function of discharge current intensity. Finally to complete our analysis, the multifractal behavior of reconstructed time series using its Keramers-Moyal's coefficients and original data set are investigated. Extended self similarity analysis demonstrates that fluctuations in our experimental setup deviates from Kolmogorov (K41) theory for fully developed turbulence regime.Comment: 25 pages, 9 figures and 4 tables. V3: Added comments, references, figures and major correction

The laurentian record of neoproterozoic glaciation, tectonism, and eukaryotic evolution in Death Vally, California

Neoproterozoic strata in Death Valley, California contain eukaryotic microfossils and glacial deposits that have been used to assess the severity of putative Snowball Earth events and the biological response to extreme environmental change. These successions also contain evidence for syn-sedimentary faulting that has been related to the rifting of Rodinia, and in turn the tectonic context of the onset of Snowball Earth. These interpretations hinge on local geological relationships and both regional and global stratigraphic correlations. Here we present new geological mapping, measured stratigraphic sections, carbon and strontium isotope chemostratigraphy, and micropaleontology from the Neoproterozoic glacial deposits and bounding strata in Death Valley. These new data enable us to refine regional correlations both across Death Valley and throughout Laurentia, and construct a new age model for glaciogenic strata and microfossil assemblages. Particularly, our remapping of the Kingston Peak Formation in the Saddle Peak Hills and near the type locality shows for the first time that glacial deposits of both the Marinoan and Sturtian glaciations can be distinguished in southeastern Death Valley, and that beds containing vase-shaped microfossils are slump blocks derived from the underlying strata. These slump blocks are associated with multiple overlapping unconformities that developed during syn-sedimentary faulting, which is a common feature of Cyrogenian strata along the margin of Laurentia from California to Alaska. With these data, we conclude that all of the microfossils that have been described to date in Neoproterozoic strata of Death Valley predate the glaciations and do not bear on the severity, extent or duration of Neoproterozoic Snowball Earth events