ArticleEcology and evolution2020
Toward a standardized quantitative and qualitative insect monitoring scheme.
Article in Ecology and evolution, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- Influence of Deadwood, Tree-Related Microhabitats, and Forest Structural Features on Saproxylic Arthropod Diversity.Ecology and evolution · 2026Article
- Habitat filtering, not dispersal limitation, drives ant and termite community assembly along a tropical forest regeneration gradient.Oecologia · 2026Article
- Distance-decay reveals contrasting effects of land-use types on arthropod community homogenisation.Nature communications · 2026Article
- A shortcut to sample coverage standardization in metabarcoding data provides new insights into land-use effects on insect diversity.Proceedings. Biological sciences · 2025Article
- Dataset of Grey plover (Biodiversity data journal · 2025Article
- Article
- Maximizing Identification Precision of Hymenoptera and Brachycera (Diptera) With a Non-Destructive DNA Metabarcoding Approach.Ecology and evolution · 2025Article
- Upscaling biodiversity monitoring: Metabarcoding estimates 31,846 insect species from Malaise traps across Germany.Molecular ecology resources · 2025Article
- Synchronised monitoring of plant and insect diversity: a case study using automated Malaise traps and DNA-based methods.Biodiversity data journal · 2024Article
- Earlier and more uniform spring green-up linked to lower insect richness and biomass in temperate forests.Communications biology · 2023Article
- Soundscapes and deep learning enable tracking biodiversity recovery in tropical forests.Nature communications · 2023Article
- Monitoring insect biodiversity and comparison of sampling strategies using metabarcoding: A case study in the Yanshan Mountains, China.Ecology and evolution · 2023Article
- Plant species composition and local habitat conditions as primary determinants of terrestrial arthropod assemblages.Oecologia · 2023Article
- Robber flies and hover flies (Insecta, Diptera, Asilidae and Syrphidae) in beech forests of the central Apennines: a contribution to the inventory of insect biodiversity in Italian State Nature Reserves.Biodiversity data journal · 2023Article
- Repeated subsamples during DNA extraction reveal increased diversity estimates in DNA metabarcoding of Malaise traps.Ecology and evolution · 2022Article
- Fluctuating insect diversity, abundance and biomass across agricultural landscapes.Scientific reports · 2022Article
- Toward global integration of biodiversity big data: a harmonized metabarcode data generation module for terrestrial arthropods.GigaScience · 2022Article
- Using Malaise Traps and Metabarcoding for Biodiversity Assessment in Vineyards: Effects of Weather and Trapping Effort.Insects · 2022Article
- Interactive effects of climate and land use on pollinator diversity differ among taxa and scales.Science advances · 2022Article
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The number of insect species and insect abundances decreased severely during the past decades over major parts of Central Europe. Previous studies documented declines of species richness, abundances, shifts in species composition, and decreasing biomass of flying insects. In this study, we present a standardized approach to quantitatively and qualitatively assess insect diversity, biomass, and the abundance of taxa, in parallel. We applied two methods: Malaise traps, and automated and active light trapping. Sampling was conducted from April to October 2018 in southern Germany, at four sites representing conventional and organic farming. Bulk samples obtained from Malaise traps were further analyzed using DNA metabarcoding. Larger moths (Macroheterocera) collected with light trapping were further classified according to their degree of endangerment. Our methods provide valuable quantitative and qualitative data. Our results indicate more biomass and higher species richness, as well as twice the number of Red List lepidopterans in organic farmland than in conventional farmland. This combination of sampling methods with subsequent DNA metabarcoding and assignments of individuals according depending on ecological characteristics and the degree of endangerment allows to evaluate the status of landscapes and represents a suitable setup for large-scale long-term insect monitoring across Central Europe, and elsewhere.
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