ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2024
Towards a toolkit for global insect biodiversity monitoring.
Article 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 16 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
16 citing papers in PubMed.
- Multi-angle, cross-domain fusion strategy enhances automated insect identification and hierarchical categorization: a case study on assassin bugs (Hemiptera: Reduviidae).Cladistics : the international journal of the Willi Hennig Society · 2026Article
- Prospects for Complete DNA Barcode Coverage of the New Zealand Insect Fauna.Journal of the Royal Society of New Zealand · 2026Article
- Using Metabarcoding Techniques to Map Multiple Dung Beetle-Vertebrate iDNA Networks in a Southeast Asian Forest.Molecular ecology resources · 2026Article
- A dataset of insect sounds from 459 species for bioacoustic machine learning.Scientific data · 2026Article
- Performance and Limitations of Out-Of-Distribution Detection for Insect DNA Barcoding.Ecology and evolution · 2026Article
- Simultaneous Automated Insect Monitoring Across a Remote Tropical Elevation Gradient With Mothbox.Integrative and comparative biology · 2026Article
- Common to rare transfer learning (CORAL) enables inference and prediction for a quarter million rare Malagasy arthropods.Nature methods · 2025Article
- Human contributions to global soundscapes are less predictable than the acoustic rhythms of wildlife.Nature ecology & evolution · 2025Article
- Spatial and temporal variation in vibroscape composition in two grassland habitats.Scientific reports · 2025Article
- What evidence exists on wild bee trends in Germany? A systematic map.Environmental evidence · 2025Article
- High-throughput biodiversity surveying sheds new light on the brightest of insect taxa.Proceedings. Biological sciences · 2025Article
- Megabarcoding dark taxa - Assessing the utility of mass DNA barcoding for phorid fly species discovery.PloS one · 2025Article
- Sharing insect data through GBIF: novel monitoring methods, opportunities and standards.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Article
- Time and habitat structure shape insect acoustic activity in the Amazon.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Article
- Monitoring aerial insect biodiversity: a radar perspective.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Review
- Insect diversity estimation in polarimetric lidar.PloS one · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Insects are the most diverse group of animals on Earth, yet our knowledge of their diversity, ecology and population trends remains abysmally poor. Four major technological approaches are coming to fruition for use in insect monitoring and ecological research-molecular methods, computer vision, autonomous acoustic monitoring and radar-based remote sensing-each of which has seen major advances over the past years. Together, they have the potential to revolutionize insect ecology, and to make all-taxa, fine-grained insect monitoring feasible across the globe. So far, advances within and among technologies have largely taken place in isolation, and parallel efforts among projects have led to redundancy and a methodological sprawl; yet, given the commonalities in their goals and approaches, increased collaboration among projects and integration across technologies could provide unprecedented improvements in taxonomic and spatio-temporal resolution and coverage. This theme issue showcases recent developments and state-of-the-art applications of these technologies, and outlines the way forward regarding data processing, cost-effectiveness, meaningful trend analysis, technological integration and open data requirements. Together, these papers set the stage for the future of automated insect monitoring. This article is part of the theme issue 'Towards a toolkit for global insect biodiversity monitoring'.
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What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.