L
Lars Hendrich
Researcher at Free University of Berlin
Publications - 106
Citations - 2267
Lars Hendrich is an academic researcher from Free University of Berlin. The author has contributed to research in topics: Dytiscidae & Genus. The author has an hindex of 24, co-authored 97 publications receiving 1850 citations. Previous affiliations of Lars Hendrich include Ludwig Maximilian University of Munich.
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Journal ArticleDOI
The Effect of Geographical Scale of Sampling on DNA Barcoding
Johannes Bergsten,David T. Bilton,Tomochika Fujisawa,Miranda Elliott,Michael T. Monaghan,Michael Balke,Lars Hendrich,Joja Geijer,Jan Herrmann,Garth N. Foster,Ignacio Ribera,Anders N. Nilsson,Timothy G. Barraclough,Alfried P. Vogler +13 more
TL;DR: A CO1 data set of aquatic predaceous diving beetles of the tribe Agabini is presented and it is shown that even if samples are collected to maximize the geographical coverage, up to 70 individuals are required to sample 95% of intraspecific variation, showing that the geographical scale of sampling has a critical impact on the global application of DNA barcoding.
Journal ArticleDOI
A comprehensive DNA barcode database for Central European beetles with a focus on Germany: adding more than 3500 identified species to BOLD.
Lars Hendrich,Jérôme Morinière,Gerhard Haszprunar,Paul D. N. Hebert,Axel Hausmann,Frank Köhler,Michael Balke +6 more
TL;DR: This study provides the globally largest DNA barcode reference library for Coleoptera for 15 948 individuals belonging to 3514 well‐identified species (53% of the German fauna) with representatives from 97 of 103 families with a focus on Germany.
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Species Identification in Malaise Trap Samples by DNA Barcoding Based on NGS Technologies and a Scoring Matrix
Jérôme Morinière,Bruno Cancian de Araujo,Athena Lam,Axel Hausmann,Michael Balke,Stefan Schmidt,Lars Hendrich,Dieter Doczkal,Berthold Fartmann,Samuel Arvidsson,Gerhard Haszprunar +10 more
TL;DR: A meta-barcoding pipeline is developed to streamline the barcoding process and indicate that a fast, efficient and reliable analysis of next generation data from malaise trap samples can be achieved using this pipeline.
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Mitochondrial Cox1 Sequence Data Reliably Uncover Patterns of Insect Diversity But Suffer from High Lineage-Idiosyncratic Error Rates
TL;DR: Cox1 sequence data are a powerful tool for large-scale species richness estimation, with a great potential for use in ecology and β-diversity studies and for setting conservation priorities, however, error rates can be high in individual lineages.
Journal ArticleDOI
Building-up of a DNA barcode library for true bugs (insecta: hemiptera: heteroptera) of Germany reveals taxonomic uncertainties and surprises.
Michael J. Raupach,Lars Hendrich,Stefan Küchler,Fabian Deister,Jérôme Morinière,Martin M. Gossner +5 more
TL;DR: This study test the efficiency of DNA barcoding for true bugs (Hemiptera: Heteroptera), an ecological and economical highly important as well as morphologically diverse insect taxon, and highlights the urgent necessity of taxonomic revisions for various taxa of the Heterptera.