Regional-scale integration of multi-scale hydrological and geophysical data using a two-step Bayesian sequential simulation approach

Significant progress has been made with regard to the quantitative integration of geophysical and hydrological data at the local scale for the purpose of improving predictions of groundwater flow and solute transport. However, extending corresponding approaches to the regional scale still represents one of the major challenges in the domain of hydrogeophysics. To address this problem, we have developed a regional-scale data integration methodology based on a two-step Bayesian sequential simulation approach. Our objective is to generate high-resolution stochastic realizations of the regional-scale hydraulic conductivity field in the common case where there exist spatially exhaustive but poorly resolved measurements of a related geophysical parameter, as well as highly resolved but spatially sparse collocated measurements of this geophysical parameter and the hydraulic conductivity. To integrate this multi-scale, multi-parameter database, we first link the low- and high-resolution geophysical data via a stochastic downscaling procedure. This is followed by relating the downscaled geophysical data to the high-resolution hydraulic conductivity distribution. After outlining the general methodology of the approach, we demonstrate its application to a realistic synthetic example where we consider as data high-resolution measurements of the hydraulic and electrical conductivities at a small number of borehole locations, as well as spatially exhaustive, low-resolution estimates of the electrical conductivity obtained from surface-based electrical resistivity tomography. The different stochastic realizations of the hydraulic conductivity field obtained using our procedure are validated by comparing their solute transport behaviour with that of the underlying ?true? hydraulic conductivity field. We find that, even in the presence of strong subsurface heterogeneity, our proposed procedure allows for the generation of faithful representations of the regional-scale hydraulic conductivity structure and reliable predictions of solute transport over long, regional-scale distances.

Fine-scale spatial genetic structure and gene dispersal in Silene latifolia.

Plants are sessile organisms, often characterized by limited dispersal. Seeds and pollen are the critical stages for gene flow. Here we investigate spatial genetic structure, gene dispersal and the relative contribution of pollen vs seed in the movement of genes in a stable metapopulation of the white campion Silene latifolia within its native range. This short-lived perennial plant is dioecious, has gravity-dispersed seeds and moth-mediated pollination. Direct measures of pollen dispersal suggested that large populations receive more pollen than small isolated populations and that most gene flow occurs within tens of meters. However, these studies were performed in the newly colonized range (North America) where the specialist pollinator is absent. In the native range (Europe), gene dispersal could fall on a different spatial scale. We genotyped 258 individuals from large and small (15) subpopulations along a 60 km, elongated metapopulation in Europe using six highly variable microsatellite markers, two X-linked and four autosomal. We found substantial genetic differentiation among subpopulations (global F(ST)=0.11) and a general pattern of isolation by distance over the whole sampled area. Spatial autocorrelation revealed high relatedness among neighboring individuals over hundreds of meters. Estimates of gene dispersal revealed gene flow at the scale of tens of meters (5-30 m), similar to the newly colonized range. Contrary to expectations, estimates of dispersal based on X and autosomal markers showed very similar ranges, suggesting similar levels of pollen and seed dispersal. This may be explained by stochastic events of extensive seed dispersal in this area and limited pollen dispersal.

The Identity Style Inventory (ISI-3) and the Utrecht-Management of Identity Commitments Scale (U-MICS): Factor structure, reliability, and convergent validity in French-speaking college students

The purpose of this study was to evaluate the factor structure and the reliability of the French versions of the Identity Style Inventory (ISI-3) and the Utrecht-Management of Identity Commitments Scale (U-MICS) in a sample of college students (N = 457, 18 to 25 years old). Confirmatory factor analyses confirmed the hypothesized three-factor solution of the ISI-3 identity styles (i.e. informational, normative, and diffuse-avoidant styles), the one-factor solution of the ISI-3 identity commitment, and the three-factor structure of the U-MICS (i.e. commitment, in-depth exploration, and reconsideration of commitment). Additionally, theoretically consistent and meaningful associations among the ISI-3, U-MICS, and Ego Identity Process Questionnaire (EIPQ) confirmed convergent validity. Overall, the results of the present study indicate that the French versions of the ISI-3 and UMICS are useful instruments for assessing identity styles and processes, and provide additional support to the cross-cultural validity of these tools.

Severity of endoscopically detected esophageal inflammatory and fibrostenotic features correlates with degree of esophageal eosinophilia in adults with eosinophilic esophagitis

Background: Eosinophilic esophagitis (EoE) has emerged as a leading cause of dysphagia in adults. Characteristic esophageal features on endoscopy include structural/fibrostenotic (rings, narrow caliber, strictures) and inflammatory manifestations (longitudinal furrows, exudates, edema). Aim: The purpose of this study was to correlate the clinical, endoscopic and histopathologic features in adult EoE patients. Methods: A total of 106 encounters of 81 patients with EoE were analyzed. Data included an EoE-directed symptom-severity patient questionnaire evaluating symptoms of dysphagia (frequency, intensity, duration), meal duration, chest pain, and overall symptom severity. Video recordings of endoscopies were reviewed in a blinded manner using a classification and grading scheme for the esophageal features of EoE. Histopathology was reviewed for peak eosinophil count/high power field by pathologists blinded to the patients' clinical status. Associations between endoscopic features, histology and symptoms were evaluated using the Spearman rank correlation analysis. Results: The endoscopic severity of both structural and inflammatory esophageal features of EoE, including rings, exudates, longitudinal furrows, and edema, correlated significantly with peak eosinophil counts (see Table 1). Presence of "crepe paper mucosa" did not demonstrate significant association with peak eosinophil counts. Both structural (rings, narrow-caliber esophagus and strictures) and inflammatory (furrows, exudates and edema) composite endoscopic scores demonstrated a strong correlation with peak eosinophil counts. The strongest association with the degree of esophageal eosinophilia was found with a combination of both structural and inflammatory findings (p < 0.0001). The esophageal diameter (in mm) was negatively correlated with overall symptom severity (Spearman's rho = -0.4883, P = 0.0339). None of the individual or combined patient reported symptoms correlated significantly with either endoscopic or histopathologic findings. Conclusion: The severity of both structural and inflammatory endoscopic features associated with EoE is significantly associated with the degree of esophageal eosinophilia. Patient reported symptom severity was not associated with the degree of esophageal eosinophilia. Esophageal stricture diameter was inversely correlated with EoE symptom severity. The prognostic and therapeutic implications of these observations need to be determined.