High-throughput biodiversity surveying sheds new light on the brightest of insect taxa DOI Creative Commons
Elzbieta Iwaszkiewicz‐Eggebrecht, Robert M. Goodsell,

Bengt-Åke Bengsson

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 25, 2024

Abstract Sampling of species-rich taxa followed by DNA metabarcoding is quickly becoming a popular high-throughput method for biodiversity inventories. Unfortunately, we know little about its accuracy and efficiency, as the results mostly pertain to poorly-known organism groups in underexplored environments or regions world. Here ask what an extensive sampling effort based on Malaise trapping can tell us lepidopteran fauna Sweden – one best-understood insect most-surveyed countries Specifically, deployed 197 traps single year across systematic design, then metabarcoded resulting 4,749 bulk samples, compared existing data sources. We detected more than half (1,535) 2,990 species ever recorded occurring Sweden, 323 not reported during period other providers. Full-length barcoding individual specimens confirmed three new country range extensions two species. It also corroborated eight genetically distinct COI variants that may represent science, which has since been described. Most records are small inconspicuous poorly surveyed regions, suggesting they previously overlooked components fauna. Our findings, independent metagenomic analyses, show be highly efficient accurate sampling, extent it generate significant discoveries even most well-known faunas.

Language: Английский

Towards a toolkit for global insect biodiversity monitoring DOI Creative Commons
Roel van Klink, Julie Koch Sheard, Toke T. Høye

et al.

Philosophical Transactions of the Royal Society B Biological Sciences, Journal Year: 2024, Volume and Issue: 379(1904)

Published: May 5, 2024

Insects are the most diverse group of animals on Earth, yet our knowledge their diversity, ecology and population trends remains abysmally poor. Four major technological approaches coming to fruition for use in insect monitoring ecological research—molecular methods, computer vision, autonomous acoustic radar-based remote sensing—each which has seen advances over past years. Together, they have potential revolutionize ecology, make all-taxa, fine-grained feasible across globe. So far, within among technologies largely taken place isolation, parallel efforts projects led redundancy a methodological sprawl; yet, given commonalities goals approaches, increased collaboration integration could provide unprecedented improvements taxonomic spatio-temporal resolution coverage. This theme issue showcases recent developments state-of-the-art applications these technologies, outlines way forward regarding data processing, cost-effectiveness, meaningful trend analysis, open requirements. papers set stage future automated monitoring. article is part ‘Towards toolkit global biodiversity monitoring’.

Language: Английский

Citations

15
Combining environmental DNA and remote sensing for efficient, fine-scale mapping of arthropod biodiversity DOI Creative Commons
Yuanheng Li, Christian Devenish, Marie I. Tosa

et al.

Philosophical Transactions of the Royal Society B Biological Sciences, Journal Year: 2024, Volume and Issue: 379(1904)

Published: May 5, 2024

Arthropods contribute importantly to ecosystem functioning but remain understudied. This undermines the validity of conservation decisions. Modern methods are now making arthropods easier study, since can be mass-trapped, mass-identified, and semi-mass-quantified into ‘many-row (observation), many-column (species)‘ datasets, with homogeneous error, high resolution, copious environmental-covariate information. These ‘novel community datasets’ let us efficiently generate information on arthropod species distributions, values, uncertainty, magnitude direction human impacts. We use a DNA-based method (barcode mapping) produce an arthropod-community dataset from 121 Malaise-trap samples, combine it 29 remote-imagery layers using deep neural net in joint distribution model. With this approach, we maps for 76 across 225 km 2 temperate-zone forested landscape. visualize fine-scale spatial distributions richness, composition, site irreplaceability. Old-growth forests show distinct composition higher stream courses have highest site-irreplaceability values. ‘sideways biodiversity modelling’ method, demonstrate feasibility mapping at sufficient resolution inform local management choices, while also being efficient enough scale up thousands square kilometres. article is part theme issue ‘Towards toolkit global insect monitoring’.

Language: Английский

Citations

5
Mapping the Advancements in Forest Soil Arthropod Research: A Bibliometric Analysis from 1960 to 2024 DOI Creative Commons
Deepak Kumar Mahanta,

Tanmaya Kumar Bhoi,

Shweta Kothari

et al.

Soil Advances, Journal Year: 2025, Volume and Issue: unknown, P. 100050 - 100050

Published: April 1, 2025

Language: Английский

Citations

0
High-throughput biodiversity surveying sheds new light on the brightest of insect taxa DOI Creative Commons
Elzbieta Iwaszkiewicz‐Eggebrecht, Robert M. Goodsell,

Bengt-Åke Bengsson

et al.

Proceedings of the Royal Society B Biological Sciences, Journal Year: 2025, Volume and Issue: 292(2046)

Published: May 1, 2025

DNA metabarcoding of species-rich taxa is becoming a popular high-throughput method for biodiversity inventories. Unfortunately, its accuracy and efficiency remain unclear, as results mostly pertain to poorly known in underexplored regions. This study evaluates what an extensive sampling effort combined with can tell us about the lepidopteran fauna Sweden—one best-understood insect one most-surveyed countries world. We deployed 197 Malaise traps across Sweden year, generating 4749 bulk samples metabarcoding, compared existing data sources. detected more than half (1535) 2990 Swedish species 323 not reported during period by other providers. Full-length barcoding confirmed three new country, substantial range extensions two eight genetically distinct barcode variants potentially representing species, which has since been described. Most records represented small, inconspicuous from surveyed regions, highlighting components overlooked traditional surveying. These findings demonstrate that highly efficient accurate method, capable yielding significant discoveries even most well faunas.

Language: Английский

Citations

0
eDNAPlus: A unifying modelling framework for DNA-based biodiversity monitoring DOI Creative Commons
Alex Diana, Eleni Matechou, Jim E. Griffin

et al.

Journal of the American Statistical Association, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 33

Published: Oct. 18, 2024

Language: Английский

Citations

1
High-throughput biodiversity surveying sheds new light on the brightest of insect taxa DOI Creative Commons
Elzbieta Iwaszkiewicz‐Eggebrecht, Robert M. Goodsell,

Bengt-Åke Bengsson

et al.

bioRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 25, 2024

Abstract Sampling of species-rich taxa followed by DNA metabarcoding is quickly becoming a popular high-throughput method for biodiversity inventories. Unfortunately, we know little about its accuracy and efficiency, as the results mostly pertain to poorly-known organism groups in underexplored environments or regions world. Here ask what an extensive sampling effort based on Malaise trapping can tell us lepidopteran fauna Sweden – one best-understood insect most-surveyed countries Specifically, deployed 197 traps single year across systematic design, then metabarcoded resulting 4,749 bulk samples, compared existing data sources. We detected more than half (1,535) 2,990 species ever recorded occurring Sweden, 323 not reported during period other providers. Full-length barcoding individual specimens confirmed three new country range extensions two species. It also corroborated eight genetically distinct COI variants that may represent science, which has since been described. Most records are small inconspicuous poorly surveyed regions, suggesting they previously overlooked components fauna. Our findings, independent metagenomic analyses, show be highly efficient accurate sampling, extent it generate significant discoveries even most well-known faunas.

Language: Английский

Citations

1