J
Johannes Sikorski
Researcher at Leibniz Association
Publications - 122
Citations - 6405
Johannes Sikorski is an academic researcher from Leibniz Association. The author has contributed to research in topics: Genome & Whole genome sequencing. The author has an hindex of 32, co-authored 117 publications receiving 5265 citations. Previous affiliations of Johannes Sikorski include German Center for Integrative Biodiversity Research & University of Haifa.
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Book ChapterDOI
Phenotypic Characterization and the Principles of Comparative Systematics
TL;DR: The methods described in this chapter are based primarily on methods developed for the characterization and identification of organisms which have usually been isolated on nutrient-rich media.
Journal ArticleDOI
Biodiversity at multiple trophic levels is needed for ecosystem multifunctionality
Santiago Soliveres,Fons van der Plas,Peter Manning,Daniel Prati,Martin M. Gossner,Martin M. Gossner,Swen C. Renner,Swen C. Renner,Fabian Alt,Hartmut Arndt,Vanessa Baumgartner,Julia Binkenstein,Klaus Birkhofer,Stefan Blaser,Nico Blüthgen,Steffen Boch,Stefan Böhm,Carmen Börschig,François Buscot,Tim Diekötter,Johannes Heinze,Norbert Hölzel,Kirsten Jung,Valentin H. Klaus,Till Kleinebecker,Sandra Klemmer,Jochen Krauss,Markus Lange,E. Kathryn Morris,E. Kathryn Morris,Jörg Müller,Yvonne Oelmann,Jörg Overmann,Esther Pašalić,Esther Pašalić,Matthias C. Rillig,H. Martin Schaefer,Michael Schloter,Barbara Schmitt,Ingo Schöning,Marion Schrumpf,Johannes Sikorski,Stephanie A. Socher,Emily F. Solly,Ilja Sonnemann,Elisabeth Sorkau,Juliane Steckel,Ingolf Steffan-Dewenter,Barbara Stempfhuber,Marco Tschapka,Marco Tschapka,Manfred Türke,Paul Christiaan Venter,Christiane N. Weiner,Wolfgang W. Weisser,Wolfgang W. Weisser,Michael Werner,Catrin Westphal,Wolfgang Wilcke,Volkmar Wolters,Tesfaye Wubet,Susanne Wurst,Markus Fischer,Eric Allan +63 more
TL;DR: It is demonstrated that primary producers, herbivorous insects and microbial decomposers seem to be particularly important drivers of ecosystem functioning, as shown by the strong and frequent positive associations of their richness or abundance with multiple ecosystem services.
Journal ArticleDOI
Land-use intensification causes multitrophic homogenization of grassland communities
Martin M. Gossner,Martin M. Gossner,Thomas M. Lewinsohn,Thomas M. Lewinsohn,Tiemo Kahl,Fabrice Grassein,Steffen Boch,Daniel Prati,Klaus Birkhofer,Swen C. Renner,Swen C. Renner,Johannes Sikorski,Tesfaye Wubet,Tesfaye Wubet,Hartmut Arndt,Vanessa Baumgartner,Stefan Blaser,Nico Blüthgen,Carmen Börschig,François Buscot,François Buscot,Tim Diekötter,Tim Diekötter,Leonardo Ré Jorge,Kirsten Jung,Alexander C. Keyel,Alexandra-Maria Klein,Sandra Klemmer,Jochen Krauss,Markus Lange,Jörg Müller,Jörg Overmann,Esther Pašalić,Esther Pašalić,Caterina Penone,David J. Perović,David J. Perović,Oliver Purschke,Peter Schall,Stephanie A. Socher,Ilja Sonnemann,Marco Tschapka,Teja Tscharntke,Manfred Türke,Paul Christiaan Venter,Christiane N. Weiner,Michael Werner,Volkmar Wolters,Susanne Wurst,Catrin Westphal,Markus Fischer,Wolfgang W. Weisser,Wolfgang W. Weisser,Eric Allan +53 more
TL;DR: It is shown that even moderate increases in local land-use intensity (LUI) cause biotic homogenization across microbial, plant and animal groups, both above- and belowground, and that this is largely independent of changes in α-diversity.
Journal ArticleDOI
Identifying the fundamental units of bacterial diversity: a paradigm shift to incorporate ecology into bacterial systematics.
Alexander F. Koeppel,Elizabeth B. Perry,Johannes Sikorski,Danny Krizanc,Andrew Warner,David M. Ward,Alejandro P. Rooney,Evelyne Brambilla,Nora Connor,Rodney M. Ratcliff,Eviatar Nevo,Frederick M. Cohan +11 more
TL;DR: This work introduces a sequence-based approach (“ecotype simulation”) to model the evolutionary dynamics of bacterial populations and to identify ecotypes within a natural community, focusing here on two Bacillus clades surveyed from the “Evolution Canyons” of Israel.
Journal ArticleDOI
A robust procedure for comparing multiple means under heteroscedasticity in unbalanced designs.
TL;DR: A new statistical multiple comparison procedure for assessing multiple means based on a general statistical framework for simultaneous inference and robust covariance estimators that works well under biologically realistic scenarios of unbalanced group sizes, non-normality and heteroscedasticity.