M
Martin Sorg
Publications - 6
Citations - 2143
Martin Sorg is an academic researcher. The author has contributed to research in topics: Biomass (ecology) & Biodiversity. The author has an hindex of 3, co-authored 6 publications receiving 1445 citations.
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Journal ArticleDOI
More than 75 percent decline over 27 years in total flying insect biomass in protected areas.
Caspar A. Hallmann,Martin Sorg,Eelke Jongejans,Henk Siepel,Nick Hofland,Heinz Schwan,Werner Stenmans,Andreas Müller,Hubert Sumser,Thomas Hörren,Dave Goulson,Hans de Kroon +11 more
TL;DR: This analysis estimates a seasonal decline of 76%, and mid-summer decline of 82% in flying insect biomass over the 27 years of study, and shows that this decline is apparent regardless of habitat type, while changes in weather, land use, and habitat characteristics cannot explain this overall decline.
Journal ArticleDOI
Insect biomass decline scaled to species diversity: General patterns derived from a hoverfly community
TL;DR: In this article, the authors analyzed the abundance (19,604 individuals) of 162 hoverfly species (Diptera: Syrphidae) at six locations in German nature reserves in 1989 and 2014, and generalize the results with a model varying decline rates of common vs. rare species.
Journal ArticleDOI
Diversity of Insects in Nature protected Areas (DINA): an interdisciplinary German research project
Gerlind U. C. Lehmann,Nikita Bakanov,Martin Behnisch,Sarah J. Bourlat,Carsten A. Brühl,Lisa Eichler,Thomas Fickel,Matthias F. Geiger,Birgit Gemeinholzer,Thomas Hörren,Sebastian Köthe,Alexandra Lux,Gotthard Meinel,Roland Mühlethaler,Hanna Poglitsch,Livia Schäffler,Ulrich Schlechtriemen,Florian D. Schneider,Ralf Schulte,Martin Sorg,Maximilian Sprenger,Stephanie J. Swenson,Wiltrud Terlau,Angela Turck,Vera M. A. Zizka +24 more
TL;DR: The Diversity of Insects in Nature protected Areas (DINA) project as mentioned in this paper investigates insect communities in 21 nature reserves in Germany and uses a DNA metabarcoding approach for species identification.
Journal ArticleDOI
Pooling size sorted Malaise trap fractions to maximize taxon recovery with metabarcoding
Vasco Elbrecht,Sarah J. Bourlat,Thomas Hörren,Angie Lindner,Adriana Mordente,Niklas W. Noll,Livia Schäffler,Martin Sorg,Vera M. A. Zizka +8 more
TL;DR: In this article, a size sorting strategy for Malaise trap samples that maximizes taxonomic recovery but remains scalable and time efficient was proposed. But the results showed that the small size fractions harboured the highest diversity and were best represented when pooling in favour of small specimens.
Posted ContentDOI
Pooling size sorted malaise trap fractions to maximise taxon recovery with metabarcoding
Vasco Elbrecht,Sarah J. Bourlat,Thomas Hoerren,Angie Lindner,Adriana Mordente,Niklas W. Noll,Martin Sorg,Vera M. A. Zizka +7 more
TL;DR: It is demonstrated that size fractionizing bulk malaise samples can increase taxon recovery and the most practical approach is wet sieving into two size fractions, and proportional pooling of the lysates in favor of the small size fraction.