RESUMO
Wet grasslands, which are vital for water and nutrient regulation, are characterised by distinct water, carbon (C) and nitrogen (N) dynamics, and their interactions. Due to their shallow groundwater table, wet grasslands promote a strong interconnection between diverse vegetation and soil water. Researchers have investigated how wet grasslands respond to environmental changes, using various simulation models to understand how these sites contribute to water, C and N dynamics. However, a comprehensive, simultaneous study of all three of these dynamics is still lacking. This study makes use of a grassland lysimeter study with differently managed groundwater levels and employs the process-based MOdel for NItrogen and Carbon dynamics in Agroecosystems (MONICA) to simulate these dynamics. By using SPOTPY (Statistical Parameter Optimization Tool) to optimise the relevant parameters, we find that MONICA performs well in simulating vegetation growth (aboveground biomass), and elements of the water (evapotranspiration), C (gross primary productivity, ecosystem respiration) and N (N in aboveground biomass, nitrate in soil solution, Nitrous oxide emissions) balance, with Willmott's Refined Index of Agreement always larger than 0.35. This level of accuracy demonstrates that MONICA is ready to be applied for scenario simulations of groundwater management and climate change to evaluate their impact on greenhouse gas emissions and long-term carbon storage, as well as water and nitrogen losses in wet grasslands.
RESUMO
Little research attention has been given to validating clusters obtained from the groundwater geochemistry of the waterworks' capture zone with a prevailing lake-groundwater exchange. To address this knowledge gap, we proposed a new scheme whereby Gaussian finite mixture modeling (GFMM) and Spike-and-Slab Bayesian (SSB) algorithms were utilized to cluster the groundwater geochemistry while quantifying the probability of the resulting cluster membership against each other. We applied GFMM and SSB to 13 geochemical parameters collected during different sampling periods at 13 observation points across the Barnim Highlands plateau located in the northeast of Berlin, Germany; this included 10 observation wells, two lakes, and a gallery of drinking production wells. The cluster analysis of GFMM yielded nine clusters, either with a probability ≥0.8, while the SSB produced three hierarchical clusters with a probability of cluster membership varying from <0.2 to >0.8. The findings demonstrated that the clustering results of GFMM were in good agreement with the classification as per the principal component analysis and Piper diagram. By superimposing the parameter clustering onto the observation clustering, we could identify discrepancies that exist among the parameters of a certain cluster. This enables the identification of different factors that may control the geochemistry of a certain cluster, although parameters of that cluster share a strong similarity. The GFMM results have shown that from 2002, there has been active groundwater inflow from the lakes towards the capture zone. This means that it is necessary to adopt appropriate measures to reverse the inflow towards the lakes.
Assuntos
Água Subterrânea , Poluentes Químicos da Água , Teorema de Bayes , Monitoramento Ambiental/métodos , Fácies , Humanos , Reprodutibilidade dos Testes , Poluentes Químicos da Água/análiseAssuntos
Síndrome da Artéria Espinal Anterior/diagnóstico por imagem , Síndrome de Horner/diagnóstico , Paresia/diagnóstico , Síndrome da Artéria Espinal Anterior/fisiopatologia , Criança , Imagem de Difusão por Ressonância Magnética , Síndrome de Horner/fisiopatologia , Humanos , Masculino , Paresia/fisiopatologiaRESUMO
BACKGROUND: ADRB-2 was implicated in rodent ovarian functions, including initial follicular growth. In contrast, ADRB-2 expression and function in nonhuman primate and human ovary were not fully known but innervation and significant levels of norepinephrine (NE), which is a ligand at the ADRB-2, were reported in the ovary. METHODS: We studied expression of ADRB-2 in human and rhesus monkey ovary (RT-PCR, immunohistochemistry; laser micro dissection) and measured levels of norepinephrine (NE; ELISA) in monkey follicular fluid (FF). 3D cultures of monkey follicles (4 animals) were exposed to NE or the ADRB-2 agonist isoproterenol (ISO), and follicular development (size) was monitored. Upon termination expression of ADRB-2, FSH receptor and aromatase genes were examined. RESULTS: Immunohistochemistry and RT-PCR of either human follicular granulosa cells (GCs) obtained by laser micro dissection or isolated monkey follicles revealed ADRB-2 in GCs of primordial, primary, secondary and tertiary follicles. Staining of GCs in primordial and primary follicles was intense. In large preantral and antral follicles the staining was heterogeneous, with positive and negative GCs present but GCs lining the antrum of large follicles were generally strongly immunopositive. Theca, interstitial, and ovarian surface epithelial cells were also positive. NE was detected in FF of preovulatory antral monkey follicles (0.37 + 0.05 ng/ml; n = 7; ELISA) but not in serum. We examined preantral follicles ranging from 152 to 366 µm in diameter in a 3D culture in media supplemented with follicle stimulating hormone (FSH). Under these conditions, neither NE, nor ISO, influenced growth rate in a period lasting up to one month. Upon termination of the cultures, all surviving follicles expressed aromatase and FSH receptors, but only about half of them also co-expressed ADRB-2. The ADRB-2 expression was not correlated with the treatment but was positively correlated with the follicular size at the beginning and at the end of the culture period. Hence, expression of ADRB-2 was found in the largest and fastest-in vitro growing follicles. CONCLUSIONS: The results imply ADRB-2-mediated actions in the development of primate follicles. Drugs interfering with ADRB-2 are used to treat medical conditions and may have unexplored effects in the human ovary.
Assuntos
Folículo Ovariano/metabolismo , Receptores Adrenérgicos beta 2/biossíntese , Animais , Células Cultivadas , Ensaio de Imunoadsorção Enzimática , Feminino , Humanos , Imuno-Histoquímica , Microdissecção e Captura a Laser , Macaca mulatta , Norepinefrina/biossíntese , Reação em Cadeia da Polimerase Via Transcriptase ReversaRESUMO
In recent years, a large effort has been spent on advancing the understanding of how surface-supported membranes are formed through vesicle fusion. The aim is to find simple model systems for investigating biophysical and biochemical interactions between constituents of cell membranes and, for example, drugs and toxins altering membrane function. Designing and controlling the self-assembly of model membranes onto sensor substrates thus constitutes an important field of research, enabling applications in, e.g., drug screening, dynamic biointerfaces, artificial noses, and research on membrane-active antibiotics. The authors have developed and investigated the formation of strongly negatively charged supported lipid membranes which systematically mimic bacterial membrane composition on three important biosensor materials: SiO(2), TiO(2), and indium tin oxide. By tuning the electrostatic interaction through balancing the lipid vesicle charge with the ionic strength of Ca(2+) as a fusion promoter, the authors have optimized the self-assembly and obtained new insights into the details of lipid vesicle-surface interaction. The results will be useful for future development and application of specialized lipid membrane surface coatings prepared from complex lipid compositions. The adsorption processes were characterized by a quartz crystal microbalance with dissipation monitoring, optical waveguide lightmode spectroscopy, and fluorescence recovery after photobleaching, which allowed the determination of formation also of nonplanar supported lipid membranes.