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The AlpArray seismic network
(2018)
The AlpArray programme is a multinational, European consortium to advance our understanding of orogenesis and its relationship to mantle dynamics, plate reorganizations, surface processes and seismic hazard in the Alps-Apennines-Carpathians-Dinarides orogenic system. The AlpArray Seismic Network has been deployed with contributions from 36 institutions from 11 countries to map physical properties of the lithosphere and asthenosphere in 3D and thus to obtain new, high-resolution geophysical images of structures from the surface down to the base of the mantle transition zone. With over 600 broadband stations operated for 2 years, this seismic experiment is one of the largest simultaneously operated seismological networks in the academic domain, employing hexagonal coverage with station spacing at less than 52 km. This dense and regularly spaced experiment is made possible by the coordinated coeval deployment of temporary stations from numerous national pools, including ocean-bottom seismometers, which were funded by different national agencies. They combine with permanent networks, which also required the cooperation of many different operators. Together these stations ultimately fill coverage gaps. Following a short overview of previous large-scale seismological experiments in the Alpine region, we here present the goals, construction, deployment, characteristics and data management of the AlpArray Seismic Network, which will provide data that is expected to be unprecedented in quality to image the complex Alpine mountains at depth.
Cities often have higher species diversity than the surrounding landscape. This diversity is important for both nature conservation and urban planning. The recreation of residents and the protection of species and habitats are simultaneous targets of maintaining urban green spaces. Data about the distribution and richness of species and their habitats have been compiled frequently; however, it is difficult and costly to measure the complete biodiversity of a region, necessitating useful surrogates. We tested species and habitat data in 27 protected areas in a Central German city and asked (1) whether the diversity of selected taxa acts as a surrogate for the diversity of other taxa and total investigated diversity, and (2) whether landscape structure and human impact explain species richness. Landscape structure metrics were based on soil and habitat types; human influence was measured as the degree of hemeroby. We tested and accounted for sample bias prior to analyses. (1) Vascular plant species richness explained total richness and single taxon richness best. (2) The size of a protected area was the most important predictor of species richness. After correcting for the effect of size, shape complexity, isolation, and matrix properties remained significant. Accordingly, the type of data frequently used for urban planning - collected over several years, by various persons for various purposes - is suitable regarding systematic conservation planning for species richness. The surrogate taxa concept applies in urban areas but with restrictions. Additionally, species richness should be examined in the context of both the city and its surrounding countryside.