scholarly journals On the implications of low spatial correlation of tectonic and climate variables in the western European Alps

Geology ◽  
2009 ◽  
Vol 37 (9) ◽  
pp. 863-864 ◽  
Author(s):  
P. O. Koons
Geology ◽  
2009 ◽  
Vol 37 (9) ◽  
pp. 859-862 ◽  
Author(s):  
A. J. Vernon ◽  
P. A. van der Beek ◽  
H. D. Sinclair

2021 ◽  
Author(s):  
Marguerite Mathey ◽  
Marie-Pierre Doin ◽  
Pauline André ◽  
Andrea Walpersdorf ◽  
Stéphane Baize ◽  
...  

2020 ◽  
Vol 57 (5) ◽  
pp. 995-1008
Author(s):  
Stefanie Roder ◽  
François Biollaz ◽  
Stéphane Mettaz ◽  
Fridolin Zimmermann ◽  
Ralph Manz ◽  
...  

2018 ◽  
Vol 10 (11) ◽  
pp. 1757 ◽  
Author(s):  
Sarah Asam ◽  
Mattia Callegari ◽  
Michael Matiu ◽  
Giuseppe Fiore ◽  
Ludovica De Gregorio ◽  
...  

Alpine ecosystems are particularly sensitive to climate change, and therefore it is of significant interest to understand the relationships between phenology and its seasonal drivers in mountain areas. However, no alpine-wide assessment on the relationship between land surface phenology (LSP) patterns and its climatic drivers including snow exists. Here, an assessment of the influence of snow cover variations on vegetation phenology is presented, which is based on a 17-year time-series of MODIS data. From this data snow cover duration (SCD) and phenology metrics based on the Normalized Difference Vegetation Index (NDVI) have been extracted at 250 m resolution for the entire European Alps. The combined influence of additional climate drivers on phenology are shown on a regional scale for the Italian province of South Tyrol using reanalyzed climate data. The relationship between vegetation and snow metrics strongly depended on altitude. Temporal trends towards an earlier onset of vegetation growth, increasing monthly mean NDVI in spring and late summer, as well as shorter SCD were observed, but they were mostly non-significant and the magnitude of these tendencies differed by altitude. Significant negative correlations between monthly mean NDVI and SCD were observed for 15–55% of all vegetated pixels, especially from December to April and in altitudes from 1000–2000 m. On the regional scale of South Tyrol, the seasonality of NDVI and SCD achieved the highest share of correlating pixels above 1500 m, while at lower elevations mean temperature correlated best. Examining the combined effect of climate variables, for average altitude and exposition, SCD had the highest effect on NDVI, followed by mean temperature and radiation. The presented analysis allows to assess the spatiotemporal patterns of earth-observation based snow and vegetation metrics over the Alps, as well as to understand the relative importance of snow as phenological driver with respect to other climate variables.


2017 ◽  
Vol 131 (3-4) ◽  
pp. 1479-1491 ◽  
Author(s):  
Guido Nigrelli ◽  
Simona Fratianni ◽  
Arianna Zampollo ◽  
Laura Turconi ◽  
Marta Chiarle

Geomorphology ◽  
2020 ◽  
Vol 350 ◽  
pp. 106913 ◽  
Author(s):  
F. Magnin ◽  
W. Haeberli ◽  
A. Linsbauer ◽  
P. Deline ◽  
L. Ravanel

2013 ◽  
Vol 5 (2) ◽  
pp. 1031-1079
Author(s):  
D. Al-Halbouni

Abstract. Joint interpretation of magnetotelluric and geomagnetic depth sounding results in the period range of 10–105 s in the Western European Alps offer new insights into the conductivity structure of the Earth's crust and mantle. This first large scale electromagnetic study in the Alps covers a cross-section from Germany to northern Italy and shows the importance of the alpine mountain chain as an interrupter of continuous conductors. Poor data quality due to the highly crystalline underground is overcome by Remote Reference and Robust Processing techniques and the combination of both electromagnetic methods. 3-D forward modeling reveals on the one hand interrupted dipping crustal conductors with maximum conductances of 4960 S and on the other hand a lithosphere thickening up to 208 km beneath the central Western Alps. Graphite networks arising from Palaeozoic sedimentary deposits are considered to be accountable for the occurrence of high conductivity and the distribution pattern of crustal conductors. The influence of huge sedimentary Molasse basins on the electromagnetic data is suggested to be minor compared with the influence of crustal conductors. Dipping direction (S–SE) and maximum angle (10.1°) of the northern crustal conductor reveal the main thrusting conditions beneath the Helvetic Alps whereas the existence of a crustal conductor in the Briançonnais supports theses about its belonging to the Iberian Peninsula. In conclusion the proposed model arisen from combined 3-D modeling of noise corrected electromagnetic data is able to explain the geophysical influence of various structural features in and around the Western European Alps and serves as a background for further upcoming studies.


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