Increase in size and shrub cover improves bird functional diversity in Neotropical urban green spaces

Latin American cityscapes are growing fast, posing risks to many bird communities and ecosystem services (e.g. seed dispersal and arthropod population control), but few studies have addressed how bird functional diversity respond to urbanization in Neotropical cities. In this study, we tested which biotic (i.e. vegetation characteristics and human and pet disturbances) and abiotic variables (i.e. area size, number of vehicles, and glass panes) influence functional diversity indices of insectivores, frugivores-nectarivores, migrants, residents, and total bird community at urban green spaces in São Paulo megacity, southeastern Brazil. A rich avian community (235 species) from 25 studied sites was recorded. Generalized linear models (GLM) analyses showed that large-sized areas of urban green spaces and shrub cover are the main characteristics that drive high bird functional diversity. Small-sized sites were less favourable for preserving bird functional diversity. We showed that these areas were related to some negative impacts for bird species (e.g. absence of shrub layer, heavy traffic and massive presence of glass panes, and domestic animals), thus causing declines in avian functional diversity. Off-leash and homeless dogs and cats may cause declines in bird ecological functions (e.g. insect control, seed dispersal and pollination), which are essential to sustain biodiversity. Therefore, as management actions to improve bird diversity and better provisioning of ecosystem functions, we recommend that urban planners and managers should prioritize large-sized areas with high shrub cover. Additionally, we highlight the need to mitigate the negative impact on birds caused by glass panes, traffic of vehicles, and off-leash and homeless dogs and cats.     

Parasitism in Trialeurodes variabilis (Quaintance) (Hemiptera: Aleyrodidae) by Encarsia hispida De Santis (Hymenoptera: Aphelinidae), in papaya, in Brazil

Infestation of Trialeurodes variabilis (Quaintance) was observed in October 2004, in papaya plants of cultivar Sunrise Solo, under screenhouse conditions, in Cruz das Almas, State of Bahia, Brazil. In infested leaves, around 20% of parasitism on nymphs was verified. Leaves with parasitized nymphs were kept in laboratory until emergence of the parasitoid, identified as Encarsia hispida De Santis. This is the first time that this parasitoid was detected on T. variabilis nymphs in Brazil.     

Animal models of social anxiety disorder and their validity criteria

Anxiety disorders pose one of the largest threats to global mental health, and they predominantly emerge early in life. Social anxiety disorder, also known as social phobia, is the most common of all anxiety disorders. Moreover, it has severe consequences and is a disabling disorder that can cause an individual to be unable to perform the tasks of daily life. Social anxiety disorder is associated with the subsequent development of major depression and other mental diseases, as well as increased substance abuse. Although some neurobiological alterations have been found to be associated with social anxiety disorder, little is known about this disorder. Animal models are useful tools for the investigation of this disorder, as well as for finding new pharmacological targets for treatment. Thus, this review will highlight the main animal models of anxiety associated with social phobia.     

Identification of a Potent Endothelium-Derived Angiogenic Factor

The secretion of angiogenic factors by vascular endothelial cells is one of the key mechanisms of angiogenesis. Here we report on the isolation of a new potent angiogenic factor, diuridine tetraphosphate (Up₄U) from the secretome of human endothelial cells. The angiogenic effect of the endothelial secretome was partially reduced after incubation with alkaline phosphatase and abolished in the presence of suramin. In one fraction, purified to homogeneity by reversed phase and affinity chromatography, Up₄U was identified by MALDI-LIFT-fragment-mass-spectrometry, enzymatic cleavage analysis and retention-time comparison. Beside a strong angiogenic effect on the yolk sac membrane and the developing rat embryo itself, Up₄U increased the proliferation rate of endothelial cells and, in the presence of PDGF, of vascular smooth muscle cells. Up₄U stimulated the migration rate of endothelial cells via P2Y2-receptors, increased the ability of endothelial cells to form capillary-like tubes and acts as a potent inducer of sprouting angiogenesis originating from gel-embedded EC spheroids. Endothelial cells released Up₄U after stimulation with shear stress. Mean total plasma Up₄U concentrations of healthy subjects (N = 6) were sufficient to induce angiogenic and proliferative effects (1.34±0.26 nmol L^-1). In conclusion, Up₄U is a novel strong human endothelium-derived angiogenic factor.     

Nitrogen use efficiency by a slow-growing species as affected by CO2 levels, root temperature, N source and availability

This study examines the importance of N source and concentration on plant response to distinct CO₂ concentrations and root temperatures. The experimental design of this work was a factorial combination of: CO₂ concentration, nitrogen concentration, nitrogen source and root temperature. Carob (Ceratonia siliqua L.) was assessed as a potential model of a slow growing Mediterranean species.

The results showed that: 1) biomass increment under high CO₂ varied between 13 and 100 percnt; in relation to plants grown under the same conditions but at ambient CO₂ concentrations, depending on the root temperature and nitrogen source; 2) nitrate-fed plants attained a larger increase in biomass production compared to ammonium-fed ones. This performance seems to be linked to the co-ordinated regulation of the activities of glutamine synthetase and sucrose phosphate synthase. The variations in the magnitude and nature of growth responses to elevated CO₂ observed resulted in substantial changes in the chemical composition of the plant material and consequently in plant nitrogen use efficiency.

Although performed with seedlings and under controlled conditions, this work emphasizes the importance of the nitrogen source used by the plants, a factor rarely taken into consideration when forecasting plant responses to global changes. Particularly, the results presented here, highlight the potential for uncoupling biomass accumulation from increment of air CO₂ concentration and show that more than nitrogen availability N source may offset positive plant growth responses under elevated CO₂ and root temperature.     

Generalized estimating equations approach for spatial lattice data: A case study in adoption of improved maize varieties in Mozambique

Generalized estimating equations (GEE) are extension of generalized linear models (GLM) widely applied in longitudinal data analysis. GEE are also applied in spatial data analysis using geostatistics methods. In this paper, we advocate application of GEE for spatial lattice data by modeling the spatial working correlation matrix using the Moran's index and the spatial weight matrix. We present theoretical developments and results for simulated and actual data as well. For the former case, 1,000 samples of a random variable (response variable) defined in (0, 1) interval were generated using different values of the Moran's index. In addition, 1,000 samples of a binary and a continuous variable were also randomly generated as covariates. In each sample, three structures of spatial working correlation matrices were used while modeling: The independent, autoregressive, and the Toeplitz structure. Two measures were used to evaluate the performance of each of the spatial working correlation structures: the asymptotic relative efficiency and the working correlation selection criterions. The results showed that both measures indicated that the autoregressive spatial working correlation matrix proposed in this paper presents the best performance in general. For the actual data case, the proportion of small farmers who used improved maize varieties was considered as the response variable and a set of nine variables were used as covariates. Two structures of spatial working correlation matrices were used and the results showed consistence with those obtained in the simulation study.     

The mycobiota of landfill leachates in the pretreatment process in a sequencing batch reactor

The paper discusses the dynamics of the accumulation of microscopic fungi, depending on the sludge load (Bx), in activated sludge used for landfill leachate pretreatment. The propagule washout from the sludge into pretreated leachates is determined, including genera and species that may threaten environmental health. An increased accumulation of microscopic fungi in sludge flocs occurred at Bx=0.23−0.45 mg chemical oxygen demand (COD) mg⁻¹ d⁻¹. Microscopic fungi were eluted at the maximal Bx value tested of 1.64 mg COD mg⁻¹ d⁻¹. Both the activated sludge and the leachate runoff from the sequencing batch reactor (SBR) pose health risks to the environment due to the occurrence of fungi such as Aspergillus fumigatus, Purpureocillium lilacinum, Cyberlindnera jadinii (C. utilis), Geotrichum candidum and G. fragrans. Their count is sufficient to cause multi-organ infections in homeothermal animals and in humans.