@article{AltmannToerjekBergeretal.2003, author = {Altmann, Thomas and T{\"o}rjek, Otto and Berger, Dieter and Meyer, Rhonda C. and M{\"u}ssig, Carsten and Schmidt, K. J. and Sorensen, T. R. and Weisshaar, Bernd and Olds-Mitchell, T.}, title = {Establishment of a high-efficiency SNP-based framework marker set for Arabidopsis}, year = {2003}, language = {en} } @article{MeyerSchwanghartKorupetal.2014, author = {Meyer, Nele Kristin and Schwanghart, Wolfgang and Korup, Oliver and Romstad, Bard and Etzelmuller, Bernd}, title = {Estimating the topographic predictability of debris flows}, series = {Geomorphology : an international journal on pure and applied geomorphology}, volume = {207}, journal = {Geomorphology : an international journal on pure and applied geomorphology}, publisher = {Elsevier}, address = {Amsterdam}, issn = {0169-555X}, doi = {10.1016/j.geomorph.2013.10.030}, pages = {114 -- 125}, year = {2014}, abstract = {The Norwegian traffic network is impacted by about 2000 landslides, avalanches, and debris flows each year that incur high economic losses. Despite the urgent need to mitigate future losses, efforts to locate potential debris flow source areas have been rare at the regional scale. We tackle this research gap by exploring a minimal set of possible topographic predictors of debris flow initiation that we input to a Weights-of-Evidence (WofE) model for mapping the regional susceptibility to debris flows in western Norway. We use an inventory of 429 debris flows that were recorded between 1979 and 2008, and use the terrain variables of slope, total curvature, and contributing area (flow accumulation) to compute the posterior probabilities of local debris flow occurrence. The novelty of our approach is that we quantify the uncertainties in the WofE approach arising from different predictor classification schemes and data input, while estimating model accuracy and predictive performance from independent test data. Our results show that a percentile-based classification scheme excels over a manual classification of the predictor variables because differing abundances in manually defined bins reduce the reliability of the conditional independence tests, a key, and often neglected, prerequisite for the WofE method. The conditional dependence between total curvature and flow accumulation precludes their joint use in the model. Slope gradient has the highest true positive rate (88\%), although the fraction of area classified as susceptible is very large (37\%). The predictive performance, i.e. the reduction of false positives, is improved when combined with either total curvature or flow accumulation. Bootstrapping shows that the combination of slope and flow accumulation provides more reliable predictions than the combination of slope and total curvature, and helps refining the use of slope-area plots for identifying morphometric fingerprints of debris flow source areas, an approach used outside the field of landslide susceptibility assessments.}, language = {en} } @phdthesis{Meyer1995, author = {Meyer, Bernd}, title = {Anst{\"o}ße zum innerbetrieblichen Kulturwandel und zu einer lernenden Organisation im Rahmen einer teamorientierten Organisationsentwicklung : dargestellt am Prozeß des "High Commitment Work Systems" der Colgate Palmolive GmbH in Hamburg}, pages = {XIV, 439 S. : Ill.}, year = {1995}, language = {de} } @book{MeyerWelfens1999, author = {Meyer, Bernd and Welfens, Paul J. J.}, title = {Innovation-augmented ecological tax reform : theory model simulation and new policy implications}, series = {Diskussionsbeitrag / Europ{\"a}isches Institut f{\"u}r internationale Wirtschaftsbeziehungen, Potsdam}, volume = {65}, journal = {Diskussionsbeitrag / Europ{\"a}isches Institut f{\"u}r internationale Wirtschaftsbeziehungen, Potsdam}, publisher = {Univ.}, address = {Potsdam}, issn = {1430-5445}, pages = {34 S. : graph. Darst.}, year = {1999}, language = {en} } @misc{ThulinKrahMeyeretal.2018, author = {Thulin, Mirjam and Krah, Markus and Meyer, Michael A. and Schorsch, Ismar and Brodt, Eliezer and Sariel, Eliezer and Yedidya, Asaf and Esther, Solomon and Kessler, Samuel J. and Bratkin, Dimitri and Sax, Benjamin E. and Stair, Rose and Ariel, Yaakov S. and Weidner, Daniel and Ebert, Sophia and Martini, Annett and Fischer, Bernd and Th{\"u}ne, Eva-Maria and Bock, Dennis and Engelmann, Jonas and Aust, Cornelia and Walter, Nancy}, title = {PaRDeS : Zeitschrift der Vereinigung f{\"u}r J{\"u}dische Studien = Cultures of Wissenschaft des Judentums at 200}, series = {PaRDeS : Zeitschrift der Vereinigung f{\"u}r J{\"u}dische Studien e. V.}, journal = {PaRDeS : Zeitschrift der Vereinigung f{\"u}r J{\"u}dische Studien e. V.}, number = {24}, editor = {Krah, Markus and Thulin, Mirjam and Pick, Bianca}, publisher = {Universit{\"a}tsverlag Potsdam}, address = {Potsdam}, isbn = {978-3-86956-440-1}, issn = {1614-6492}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus4-414943}, pages = {280}, year = {2018}, abstract = {PaRDeS, the journal of the German Association for Jewish Studies, aims at exploring the fruitful and multifarious cultures of Judaism as well as their relations to their environment within diverse areas of research. In addition, the journal promotes Jewish Studies within academic discourse and reflects on its historic and social responsibilities.}, language = {en} } @inproceedings{RossmanithBlaumKeiletal.2006, author = {Rossmanith, Eva and Blaum, Niels and Keil, Manfred and Langerwisch, F. and Meyer, Jork and Popp, Alexander and Schmidt, Michael and Schultz, Christoph and Schwager, Monika and Vogel, Melanie and Wasiolka, Bernd and Jeltsch, Florian}, title = {Scaling up local population dynamics to regional scales}, url = {http://nbn-resolving.de/urn:nbn:de:kobv:517-opus-7320}, year = {2006}, abstract = {In semi-arid savannas, unsustainable land use can lead to degradation of entire landscapes, e.g. in the form of shrub encroachment. This leads to habitat loss and is assumed to reduce species diversity. In BIOTA phase 1, we investigated the effects of land use on population dynamics on farm scale. In phase 2 we scale up to consider the whole regional landscape consisting of a diverse mosaic of farms with different historic and present land use intensities. This mosaic creates a heterogeneous, dynamic pattern of structural diversity at a large spatial scale. Understanding how the region-wide dynamic land use pattern affects the abundance of animal and plant species requires the integration of processes on large as well as on small spatial scales. In our multidisciplinary approach, we integrate information from remote sensing, genetic and ecological field studies as well as small scale process models in a dynamic region-wide simulation tool.