ReviewPhilosophical transactions of the Royal Society of London. Series B, Biological sciences2024
Towards holistic insect monitoring: species discovery, description, identification and traits for all insects.
Review in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
15 citing papers in PubMed.
- Beyond conventional pollinators: advancing diversity assessments of neglected insect taxa.Annals of the Entomological Society of America · 2026Article
- The Diversity of Hymenoptera on Pummelo (Insects · 2026Article
- Integrating Megabarcoding and Metabarcoding to Unlock Diversity and Distribution Data Shortfalls in Dark Taxa.Molecular ecology resources · 2026Article
- Spatial overlap and temporal synchrony between guilds of insect hosts and parasitoids.The Journal of animal ecology · 2026Article
- UITOTO: a software for generating molecular diagnoses for species descriptions.Cladistics : the international journal of the Willi Hennig Society · 2026Article
- Balancing Barcoding and Genomics: gDNA Quality in Insect Vouchers After HotSHOT DNA Extraction.Molecular ecology resources · 2026Article
- Optimising Extraction of DNA From Museum Insect Specimens.Molecular ecology resources · 2025Article
- EntoSieve: Automated Size-Sorting of Insect Bulk Samples to Aid Accurate Megabarcoding and Metabarcoding.Molecular ecology resources · 2025Article
- Comprehensive analysis of 385 chloroplast genomes unveils phylogenetic relationships and evolutionary history in cassava.BMC plant biology · 2025Article
- "Dark taxonomy": A new protocol for overcoming the taxonomic impediments for dark taxa and broadening the taxon base for biodiversity assessment.Cladistics : the international journal of the Willi Hennig Society · 2025Article
- DNA barcoding, integrative taxonomy, citizen science, and Bush Blitz surveys combine to reveal 34 new species ofZooKeys · 2025Article
- Resolving biology's dark matter: species richness, spatiotemporal distribution, and community composition of a dark taxon.BMC biology · 2024Article
- Towards holistic insect monitoring: species discovery, description, identification and traits for all insects.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Review
- Towards a toolkit for global insect biodiversity monitoring.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Article
- Sharing insect data through GBIF: novel monitoring methods, opportunities and standards.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Holistic insect monitoring needs scalable techniques to overcome taxon biases, determine species abundances, and gather functional traits for all species. This requires that we address taxonomic impediments and the paucity of data on abundance, biomass and functional traits. We here outline how these data deficiencies could be addressed at scale. The workflow starts with large-scale barcoding (megabarcoding) of all specimens from mass samples obtained at biomonitoring sites. The barcodes are then used to group the specimens into molecular operational taxonomic units that are subsequently tested/validated as species with a second data source (e.g. morphology). New species are described using barcodes, images and short diagnoses, and abundance data are collected for both new and described species. The specimen images used for species discovery then become the raw material for training artificial intelligence identification algorithms and collecting trait data such as body size, biomass and feeding modes. Additional trait data can be obtained from vouchers by using genomic tools developed by molecular ecologists. Applying this pipeline to a few samples per site will lead to greatly improved insect monitoring regardless of whether the species composition of a sample is determined with images, metabarcoding or megabarcoding. This article is part of the theme issue 'Towards a toolkit for global insect biodiversity monitoring'.
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