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Institution

University of Münster

EducationMünster, Germany
About: University of Münster is a education organization based out in Münster, Germany. It is known for research contribution in the topics: Population & Catalysis. The organization has 35609 authors who have published 69059 publications receiving 2278534 citations. The organization is also known as: University of Munster & University of Muenster.


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Journal ArticleDOI
TL;DR: High density lipoproteins (HDL), a major anti-atherogenic lipoprotein fraction, protect endothelial cells against growth factor deprivation-induced apoptosis and is identified as a carrier of endogenous endothelial survival factors and suggests that inhibition of endothelial apoptosis by HDL-associated lysosphingolipids may represent an important and novel aspect of the anti- Atherogenic activity of HDL.

350 citations

Journal ArticleDOI
TL;DR: The large variability of PHAs regarding chemical structure and material properties that can be currently produced is summarized.
Abstract: A wide range of diverse polyhydroxyalkanoates, PHAs, is currently available due to the low substrate specificity of PHA synthases and subsequent modifications by chemical reactions. These polymers are promising materials for a number of different applications due to their biocompatibility and biodegradability. This review summarizes the large variability of PHAs regarding chemical structure and material properties that can be currently produced. In the first part, in vivo and in vitro biosynthesis processes for production of a large variety of different PHAs will be summarized with regard to obtaining saturated and unsaturated copolyesters and side chain functionalized polyesters, including brominated, hydroxylated, methyl-branched polyesters, and phenyl derivatives of polyesters. In the second part, established chemical modifications of PHAs will be summarized as that by means of grafting reactions and graft/block copolymerizations, as well as by chlorination, cross-linking, epoxidation, hydroxylation, and carboxylation, reactions yield further functionalized PHAs.

349 citations

Journal ArticleDOI
30 Sep 1999-Gene
TL;DR: It is argued that differences between the various classes of retrosequences concern mainly their copy numbers, and the function of SINEs should be viewed as pragmatic such as, for example, mRNA-derived Retrosequences, without underestimating the impact of retroposition for generation of novel protein coding genes or parts thereof.

349 citations

Journal ArticleDOI
TL;DR: Measurement of fecal CM with the recently established 5alpha-pregnane-3beta,11beta,21-triol-20-one enzyme immunoassay is a very powerful tool to monitor adrenocortical activity in laboratory mice and can open new perspectives in biomedical and behavioral science.

349 citations

Journal ArticleDOI
Helge Bruelheide1, Jürgen Dengler2, Jürgen Dengler3, Oliver Purschke1, Jonathan Lenoir4, Borja Jiménez-Alfaro1, Borja Jiménez-Alfaro5, Stephan M. Hennekens6, Zoltán Botta-Dukát, Milan Chytrý7, Richard Field8, Florian Jansen9, Jens Kattge10, Valério D. Pillar11, Franziska Schrodt10, Franziska Schrodt8, Miguel D. Mahecha10, Robert K. Peet12, Brody Sandel13, Peter M. van Bodegom14, Jan Altman15, Esteban Álvarez-Dávila, Mohammed Abu Sayed Arfin Khan2, Mohammed Abu Sayed Arfin Khan16, Fabio Attorre17, Isabelle Aubin18, Christopher Baraloto19, Jorcely Barroso20, Marijn Bauters21, Erwin Bergmeier22, Idoia Biurrun23, Anne D. Bjorkman24, Benjamin Blonder25, Benjamin Blonder26, Andraž Čarni27, Andraž Čarni28, Luis Cayuela29, Tomáš Černý30, J. Hans C. Cornelissen31, Dylan Craven, Matteo Dainese32, Géraldine Derroire, Michele De Sanctis17, Sandra Díaz33, Jiří Doležal15, William Farfan-Rios34, William Farfan-Rios35, Ted R. Feldpausch36, Nicole J. Fenton37, Eric Garnier38, Greg R. Guerin39, Alvaro G. Gutiérrez40, Sylvia Haider1, Tarek Hattab41, Greg H. R. Henry42, Bruno Hérault38, Pedro Higuchi43, Norbert Hölzel44, Jürgen Homeier22, Anke Jentsch2, Norbert Jürgens45, Zygmunt Kącki46, Dirk Nikolaus Karger47, Dirk Nikolaus Karger48, Michael Kessler47, Michael Kleyer49, Ilona Knollová7, Andrey Yu. Korolyuk, Ingolf Kühn1, Daniel C. Laughlin50, Daniel C. Laughlin51, Frederic Lens14, Jacqueline Loos22, Frédérique Louault52, Mariyana Lyubenova53, Yadvinder Malhi25, Corrado Marcenò23, Maurizio Mencuccini, Jonas V. Müller54, Jérôme Munzinger38, Isla H. Myers-Smith55, David A. Neill, Ülo Niinemets, Kate H. Orwin56, Wim A. Ozinga6, Wim A. Ozinga57, Josep Peñuelas58, Aaron Pérez-Haase59, Aaron Pérez-Haase58, Petr Petřík15, Oliver L. Phillips60, Meelis Pärtel61, Peter B. Reich62, Peter B. Reich63, Christine Römermann64, Arthur Vinicius Rodrigues, Francesco Maria Sabatini1, Jordi Sardans58, Marco Schmidt, Gunnar Seidler1, Javier Silva Espejo65, Marcos Silveira20, Anita K. Smyth39, Maria Sporbert1, Jens-Christian Svenning24, Zhiyao Tang66, Raquel Thomas67, Ioannis Tsiripidis68, Kiril Vassilev69, Cyrille Violle38, Risto Virtanen70, Evan Weiher71, Erik Welk1, Karsten Wesche72, Karsten Wesche73, Marten Winter, Christian Wirth74, Christian Wirth10, Ute Jandt1 
Martin Luther University of Halle-Wittenberg1, University of Bayreuth2, Zürcher Fachhochschule3, University of Picardie Jules Verne4, University of Oviedo5, Wageningen University and Research Centre6, Masaryk University7, University of Nottingham8, University of Rostock9, Max Planck Society10, Universidade Federal do Rio Grande do Sul11, University of North Carolina at Chapel Hill12, Santa Clara University13, Leiden University14, Academy of Sciences of the Czech Republic15, Shahjalal University of Science and Technology16, Sapienza University of Rome17, Natural Resources Canada18, Florida International University19, Universidade Federal do Acre20, Ghent University21, University of Göttingen22, University of the Basque Country23, Aarhus University24, Environmental Change Institute25, Rocky Mountain Biological Laboratory26, Slovenian Academy of Sciences and Arts27, University of Nova Gorica28, King Juan Carlos University29, Czech University of Life Sciences Prague30, VU University Amsterdam31, University of Würzburg32, National University of Cordoba33, Wake Forest University34, National University of Saint Anthony the Abbot in Cuzco35, University of Exeter36, Université du Québec en Abitibi-Témiscamingue37, University of Montpellier38, University of Adelaide39, University of Chile40, IFREMER41, University of British Columbia42, Universidade do Estado de Santa Catarina43, University of Münster44, University of Hamburg45, University of Wrocław46, University of Zurich47, Swiss Federal Institute for Forest, Snow and Landscape Research48, University of Oldenburg49, University of Wyoming50, University of Waikato51, Institut national de la recherche agronomique52, Sofia University53, Royal Botanic Gardens54, University of Edinburgh55, Landcare Research56, Radboud University Nijmegen57, Spanish National Research Council58, University of Barcelona59, University of Leeds60, University of Tartu61, University of Minnesota62, University of Sydney63, University of Jena64, University of La Serena65, Peking University66, Iwokrama International Centre for Rain Forest Conservation and Development67, Aristotle University of Thessaloniki68, Bulgarian Academy of Sciences69, University of Oulu70, University of Wisconsin–Eau Claire71, American Museum of Natural History72, International Institute of Minnesota73, Leipzig University74
TL;DR: It is shown that global trait composition is captured by two main dimensions that are only weakly related to macro-environmental drivers, which reflect the trade-offs at the species level but are weakly associated with climate and soil conditions at the global scale.
Abstract: Plant functional traits directly affect ecosystem functions. At the species level, trait combinations depend on trade-offs representing different ecological strategies, but at the community level trait combinations are expected to be decoupled from these trade-offs because different strategies can facilitate co-existence within communities. A key question is to what extent community-level trait composition is globally filtered and how well it is related to global versus local environmental drivers. Here, we perform a global, plot-level analysis of trait-environment relationships, using a database with more than 1.1 million vegetation plots and 26,632 plant species with trait information. Although we found a strong filtering of 17 functional traits, similar climate and soil conditions support communities differing greatly in mean trait values. The two main community trait axes that capture half of the global trait variation (plant stature and resource acquisitiveness) reflect the trade-offs at the species level but are weakly associated with climate and soil conditions at the global scale. Similarly, within-plot trait variation does not vary systematically with macro-environment. Our results indicate that, at fine spatial grain, macro-environmental drivers are much less important for functional trait composition than has been assumed from floristic analyses restricted to co-occurrence in large grid cells. Instead, trait combinations seem to be predominantly filtered by local-scale factors such as disturbance, fine-scale soil conditions, niche partitioning and biotic interactions.

349 citations


Authors

Showing all 36075 results

NameH-indexPapersCitations
Hyun-Chul Kim1764076183227
Klaus Müllen1642125140748
Giacomo Bruno1581687124368
Anders M. Dale156823133891
Holger J. Schünemann141810113169
Joachim Heinrich136130976887
Markus Merschmeyer132118884975
Klaus Ley12949557964
Robert W. Mahley12836360774
Robert J. Kurman12739760277
Bart Barlogie12677957803
Thomas Schwarz12370154560
Carlos Caldas12254773840
Klaus Weber12152460346
Andrey L. Rogach11757646820
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
2023253
2022831
20213,683
20203,499
20193,236
20182,918