Debris-flow activity in abandoned channels of the Manival torrent reconstructed with LiDAR and tree-ring data

Hydrogeomorphic processes are a major threat in many parts of the Alps, where they periodically damage infrastructure, disrupt transportation corridors or even cause loss of life. Nonetheless, past torrential activity and the analysis of areas affected during particular events remain often imprecise. It was therefore the purpose of this study to reconstruct spatio-temporal patterns of past debris-flow activity in abandoned channels on the forested cone of the Manival torrent (Massif de la Chartreuse, French Prealps). A Light Detecting and Ranging (LiDAR) generated Digital Elevation Model (DEM) was used to identify five abandoned channels and related depositional forms (lobes, lateral levees) in the proximal alluvial fan of the torrent. A total of 156 Scots pine trees (Pinus sylvestris L.) with clear signs of debris flow events was analyzed and growth disturbances (GD) assessed, such as callus tissue, the onset of compression wood or abrupt growth suppression. In total, 375 GD were identified in the tree-ring samples, pointing to 13 debris-flow events for the period 1931–2008. While debris flows appear to be very common at Manival, they have only rarely propagated outside the main channel over the past 80 years. Furthermore, analysis of the spatial distribution of disturbed trees contributed to the identification of four patterns of debris-flow routing and led to the determination of three preferential breakout locations. Finally, the results of this study demonstrate that the temporal distribution of debris flows did not exhibit significant variations since the beginning of the 20th century.

Monitoring eines Hundes mit traumatischem Hämoabdomen durch serielle Messung von abdominalem und peripher venösem Hämatokrit

Objective: This case report describes the use of serial measurements of peripheral venous and abdominal fluid hematocrits as a guide to treatment in a dog with traumatic hemoabdomen. Material and methods: An 18-month-old, female mixed-breed dog was presented with traumatic hemoabdomen. The dog was treated with intravenous fluids, and concurrent measurements of venous and abdominal fluid hematocrits were performed. Results: The initial hematocrit values were 39% in venous blood and 42% in abdominal fluid. Following fluid therapy, the venous hematocrit decreased to 20%, whereas the abdominal hematocrit remained stable at 40%. Based on this finding severe ongoing intra-abdominal hemorrhage was ruled out, and the dog was treated conservatively. Conclusion and clinical relevance: Comparison of serial abdominal and venous hematocrits may be useful in assessing the need for surgical management in patients with traumatic hemoabdomen.

Improved methods for measuring forest landscape structure: LiDAR complements field-based habitat assessment

Conservation and monitoring of forest biodiversity requires reliable information about forest structure and composition at multiple spatial scales. However, detailed data about forest habitat characteristics across large areas are often incomplete due to difficulties associated with field sampling methods. To overcome this limitation we employed a nationally available light detection and ranging (LiDAR) remote sensing dataset to develop variables describing forest landscape structure across a large environmental gradient in Switzerland. Using a model species indicative of structurally rich mountain forests (hazel grouse Bonasa bonasia), we tested the potential of such variables to predict species occurrence and evaluated the additional benefit of LiDAR data when used in combination with traditional, sample plot-based field variables. We calibrated boosted regression trees (BRT) models for both variable sets separately and in combination, and compared the models’ accuracies. While both field-based and LiDAR models performed well, combining the two data sources improved the accuracy of the species’ habitat model. The variables retained from the two datasets held different types of information: field variables mostly quantified food resources and cover in the field and shrub layer, LiDAR variables characterized heterogeneity of vegetation structure which correlated with field variables describing the understory and ground vegetation. When combined with data on forest vegetation composition from field surveys, LiDAR provides valuable complementary information for encompassing species niches more comprehensively. Thus, LiDAR bridges the gap between precise, locally restricted field-data and coarse digital land cover information by reliably identifying habitat structure and quality across large areas.

[Health Status of Young Men in Switzerland: Monitoring Results from Conscription].

Abstract Due to their representativeness and consistent measurement standards the medical und sports data of the Swiss conscripts provide a valuable basis for a continuous health monitoring of young Swiss men. During three to four years, the prevalence of overweight and obesity seems to stabilise on a high level. After a longer period of decreasing performance at the endurance test between the 1980s and 2002, the level of physical performance in the fitness test does no longer decrease since 2006. However, health and health behaviour show significant regional and socioeconomic inequalities among young Swiss men. Besides economic resources and education, major driving factors behind these inequalities can be identified in health knowledge, values, and attitudes.