Arthropod diversity in pure oak forests of coppice origin in northern Thrace (Turkey)

Oak (Quercus spp.) forests are among the most important forest types in Turkey. In the past, oak forests were managed through coppice clear-cutting, but in recent decades they have mostly been converted to high forest. This study was aimed at explaining how arthropod diversity is affected during conversion from coppice to high oak forest and during the early stages of coppice succession. We tested the hypothesis that arthropod richness, abundance and diversity in coppice oak sites varied according to stand age and a number of other forest characteristics. Arthropod communities were sampled in 50 plots using four different methods: pitfall traps, sweep nets, sticky cards and cloth shaking. A total of 13 084 individuals were collected and classified into 193 Recognizable Taxonomic Units (RTUs), with the most RTUs and the greatest number of specimens captured by sweep netting. We identified 17 taxa within RTU’s with more than 1% of the captured arthropods, which constituted 75% of the total specimens. The number of RTUs varied significantly according to trap type. Arthropod richness and Shannon-Wiener biodiversity index (H′) increased with elevation and precipitation. In young (1-40 yrs-old) and middle-aged (41-80 yrs) stands, arthropod biodiversity was not significantly affected by stand type, but slightly increased with diameter at breast height and tree height. Forest characteristics, such as the litter layer, understory and crown diameter, weakly influenced arthropod richness and abundance. Cluster analysis revealed that stand types and trap types differed taxonomically. Principal component analysis showed that stand types were clearly separated by the stand parameters measured. Insect families (Formicidae, Thripidae, Lygaeidae, Dolichopodidae, Luaxanidae, Cicadellidae and Ichneumonidae) could potentially be used as indicators of coppice oak conditions. As the coppice oak changes to mature forest, further studies are needed to better assess the relation between arthropods, forest types and structural characteristics of stands

Homogenizing GPS integrated water vapour time series: methodology and benchmarking the algorithms on synthetic datasets

We would like to thank the COST Action ES1206 GNSS4SWEC for financial support

Performance of various homogenization tools on a synthetic benchmark dataset of GPS and ERA-interim IWV differences

Presentación realizada en: IAG-IASPEI 39th Joint Scientific Assembly celebrada en Kobe, Japón, del 30 de julio al 4 de agosto de 2017

Study on homogenization of synthetic GNSS-Retrieved IWV time series and its impact on trend estimates with autoregressive noise

Póster presentado en: EGU General Assembly celebrada del 23 al 28 de abril de 2017 en Viena, Austria.A synthetic benchmark dataset of Integrated Water Vapour (IWV) was created within the activity of “Data homogenisation” of sub-working group WG3 of COST ES1206 Action. The benchmark dataset was created basing on the analysis of IWV differences retrieved by Global Positioning System (GPS) International GNSS Service (IGS) stations using European Centre for Medium-Range Weather Forecats (ECMWF) reanalysis data (ERA-Interim). Having analysed a set of 120 series of IWV differences (ERAI-GPS) derived for IGS stations, we delivered parameters of a number of gaps and breaks for every certain station. Moreover, we estimated values of trends, significant seasonalities and character of residuals when deterministic model was removed. We tested five different noise models and found that a combination of white and autoregressive processes of first order describes the stochastic part with a good accuracy. Basing on this analysis, we performed Monte Carlo simulations of 25 years long data with two different types of noise: white as well as combination of white and autoregressive processes. We also added few strictly defined offsets, creating three variants of synthetic dataset: easy, less complicated and fully complicated. The synthetic dataset we present was used as a benchmark to test various statistical tools in terms of homogenisation task. In this research, we assess the impact of the noise model, trend and gaps on the performance of statistical methods to detect simulated change points

Homogenization of tropospheric data: evaluating the algorithms under the presence of autoregressive process

Presentación realizada en: IX Hotine-Marussi Symposium celebrado en Roma del 18 al 22 de junio de 2018.This research was supported by the Polish National Science Centre, grant No. UMO-2016/21/B/ST10/02353

Late haemorrhagic disease of the newborn

Abstract Background: Late haemorrhagic disease of the newborn (HDN) can occur owing to a lack of vitamin K prophylaxis, as a manifestation of an underlying disorder or idiopatically from the 8th day to 12 weeks after birth. Methods: Eight infants admitted to Kocaeli University Hospital with nine episodes of late HDN between January 2002 and April 2005 were evaluated retrospectively from hospital records. Results: The median age at presentation was 46 (26-111) days. All the infants were born at full-term to healthy mothers and were exclusively breast-fed. All had an uneventful perinatal history, except one who had meconium aspiration. Four patients had received no vitamin K prophylaxis and another three had uncertain histories. At presentation, six had intracranial bleeding and the remainder had bleeding either from the venepuncture site or the gastro-intestinal tract. The presenting signs and symptoms were irritability, vomiting, bulging or full fontanelle, convulsions and diminished or absent neonatal reflexes. Galactosaemia was detected in a 2-month-old infant with prolonged jaundice. There was no surgery-related mortality or complications but one survived for only 2 days on ventilatory support following surgery. Only one of the six survivors had severe neurological sequelae. Conclusions: Late HDN frequently presents with intracranial haemorrhage, leading to high morbidity and mortality. HDN can be the manifestation of an underlying metabolic disorder. Vitamin K prophylaxis of the newborn should be routine in developing countries

Antioxidant activity of stryphnodendron rotundifolium mart. Stem bark fraction in an iron overload model

Stryphnodendron rotundifolium Mart., popularly known as “barbatimão”, is a plant species traditionally used by topical and oral routes for the treatment of infectious and inflammatory diseases. Considering the well-described antioxidant properties of this species, this study investigated the protective effects of its keto-aqueous extract using an in vitro model of iron overload. Phenolic compounds were quantified and identified by Ultra-Performance Liquid Chromatography coupled with quadrupole Time-Of-Flight Electrospray Ionization Mass Spectrometry (UPLC–ESI-qTOF-MS/MS) in positive and negative ions mode analysis. Antioxidant activity was analyzed following the iron-chelating–reducing capacity and deoxyribose degradation (2-DR) protection methods. The analysis identified condensed tannins (54.8 mg catechin/g dry fraction (DF), polyphenols (25 mg gallic acid/g DF), and hydrolyzable tannins (28.8 mg tannic acid/g DF). Among the constituents, prodelphinidin, procyanidin, and prorobinetinidine were isolated and identified. The extract sig-nificantly protected 2-DR degradation induced by Fe2+ (72% protection) or• OH (43% protection). The ortho-phenanthroline test revealed Fe2+-chelating and Fe3+-reducing activities of 93% and 84%, respectively. A preliminary toxicological analysis using Artemia salina revealed mortality below 10%, at a concentration of 0.25 mg/mL, indicating low toxicity under the present experimental conditions. In conclusion, the findings of the present study indicate that Stryphnodendron rotundifolium is a source of antioxidant compounds with the potential to be used in drug development in the context of iron overload disorders, which remains to be further investigated in vivo

Phytochemical analysis and biological evaluation of Lagochilus species from Uzbekistan

The species of the genus Lagochilus (Lamiaceae) are widespread in Central, South-Central, and Eastern Asia. Some of these species are used for their medicinal and therapeutic effects, in particular as hemostatic, anti-inflammatory and anti-epileptic agents. A new iridoid, glucoside 7- cinnamoyllamalbide, along with known compounds lagochilin, 5-hydroxy-7,4'- dimethoxyflavone, daucosterol, β-sitosterol, 8-acetylharpagide were isolated from L. gypsaceus. The high-performance thin-layer chromatography (HPTLC) method was used to determine the chemical fingerprints of 7 different Lagochilus species (L. acutilobus, L. gypsaceus, L. inebrians, L. olgae, L. proskorjakovii, L. setulosus, L. vvedenskyi). Among the tested species, lagochilin content was highest in the endemic species L. inebrians collected from the Djizzakh region of Uzbekistan. In free radical scavenging and reducing power assays, L. inebrans and L. vvedenskyi exhibited the strongest abilities. Regarding cholinesterases, amylase and glucosidase inhibition abilities of the tested samples, 5-hydroxy-7,4'-dimethoxyflavone was the most active compound