Monitoring aerial insect biodiversity: a radar perspective

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

Published: May 5, 2024

In the current biodiversity crisis, populations of many species have alarmingly declined, and insects are no exception to this general trend. Biodiversity monitoring has become an essential asset detect change but remains patchy challenging for organisms that small, inconspicuous or make (nocturnal) long-distance movements. Radars powerful remote-sensing tools can provide detailed information on intensity, timing, altitude spatial scale aerial movements might therefore be particularly suited their Importantly, they contribute several variables (EBVs) within a harmonized observation system. We review existing research using small-scale biological weather surveillance radars insect outline how derived measures quantities EBVs ‘species population’, traits’, ‘community composition’ ‘ecosystem function’. Furthermore, we synthesize ongoing future methodological, analytical technological advancements will greatly expand use radar beyond. Owing long-term regional-to-large-scale deployment, radar-based approaches in toolbox whose potential yet fully tapped. This article is part theme issue ‘Towards toolkit global monitoring’.

Language: Английский

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Computational methods for detecting insect vibrational signals in field vibroscape recordings

Ecological Informatics, Journal Year: 2025, Volume and Issue: 86, P. 103003 - 103003

Published: Jan. 18, 2025

Language: Английский

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Emerging technologies for pollinator monitoring

Current Opinion in Insect Science, Journal Year: 2025, Volume and Issue: unknown, P. 101367 - 101367

Published: March 1, 2025

Language: Английский

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Time and habitat structure shape insect acoustic activity in the Amazon

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 animal taxon on Earth and play a key role in ecosystem functioning. However, they often neglected by ecological surveys owing to difficulties involved monitoring this small hyper-diverse taxon. With technological advances biomonitoring analytical methods, these shortcomings may finally be addressed. Here, we performed passive acoustic at 141 sites (eight habitats) investigate insect activity Viruá National Park, Brazil. We first describe frequency range occupied three soniferous groups (cicadas, crickets katydids) calculate evenness index (AEI). Then, assess how AEI varies spatially temporally among habitat types, relationship between vegetation structure variables for each category. Overall, lower narrower bands than cicadas katydids. values varied categories across space time. The highest occurred before sunrise lowest was recorded pastures. Canopy cover positively associated with cricket but not Our findings contribute better understanding of time, shaping within Amazonian ecosystems. This article is part theme issue ‘Towards toolkit global biodiversity monitoring’.

Language: Английский

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Spatial and temporal variation in vibroscape composition in two grassland habitats

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: April 23, 2025

Substrate-borne vibrational signaling is one of the oldest and taxonomically widespread forms animal communication. For many animals natural environment (vibroscape) an essential source information underlying their behavioral decisions; however, structure dynamics vibroscape composition habitats largely unexplored. We studied in eutrophic lowland hay meadow a sub-Mediterranean dry karst grassland. The results obtained by simultaneous, multi-channel recordings showed that changes throughout day from to day, differs between plant species, depends on spatial position within habitat also influenced environmental parameters. highlight unpredictability high variability encountered plant-dwelling insects, complexity implementing biodiversity monitoring based composition.

Language: Английский

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Sharing insect data through GBIF: novel monitoring methods, opportunities and standards

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

Published: May 5, 2024

Technological advancements in biological monitoring have facilitated the study of insect communities at unprecedented spatial scales. The progress allows more comprehensive coverage diversity within a given area while minimizing disturbance and reducing need for extensive human labour. Compared with traditional methods, these novel technologies offer opportunity to examine patterns that were previously beyond our reach. However, address pressing scientific inquiries future, data must be easily accessible, interoperable reusable global research community. Biodiversity information standards platforms provide necessary infrastructure standardize share biodiversity data. This paper explores possibilities prerequisites publishing obtained through methods GBIF, most infrastructure. We describe essential components metadata existing occurrence on insects, including extensions. By addressing current opportunities, limitations, future development GBIF's framework, we hope encourage researchers both contribute further models. Wider commitments open initiatives will promote interoperability support cross-disciplinary key policy indicators. article is part theme issue 'Towards toolkit monitoring'.

Language: Английский

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What can an analysis of Australian tropical rainforest bark beetles suggest about the missing millions of Earth's insect species?

Insect Conservation and Diversity, Journal Year: 2024, Volume and Issue: 17(6), P. 1156 - 1166

Published: Aug. 19, 2024

Abstract Only 20% of the estimated 5 million species insects on Earth are named and yet poorly represented in protected area assessments, insect declines concern globally. Here, we explore how to increase discovery new understanding this group through analysis 10,097 tropical rainforest bark beetles (Scolytinae) from eight different ecological studies between 2000 2018 Australian Wet Tropics. Of 107 identified, 58 undescribed: an 37% 156 known Australia. Rarefaction indicates doubling sampling would number by 17. As hypothesised, significantly smaller, less abundant widespread than described making them more extinction‐prone species. Flight interception traps collected 84% individuals 98% confirming effectiveness a single method for some beetles. Increased locations collection canopy may sample further rather additional collecting methods. Scolytines relatively well studied with taxonomists at forefront using modern methods resolve formerly intractable groups. Hence, these likely be others many other beetle groups where taxonomy has largely stalled. To description rates avoid most becoming extinct before being named, call use character systems provided DNA advances rapidly developing field artificial intelligence.

Language: Английский

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A box quadrat for standardised sampling of Orthoptera in open habitats: design, handling, applications and baseline data

Global Ecology and Conservation, Journal Year: 2024, Volume and Issue: unknown, P. e03217 - e03217

Published: Sept. 1, 2024

Language: Английский

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High-throughput biodiversity surveying sheds new light on the brightest of insect taxa

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

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Insect diversity estimation in polarimetric lidar

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(11), P. e0312770 - e0312770

Published: Nov. 1, 2024

Identifying flying insects is a significant challenge for biologists. Entomological lidar offers unique solution, enabling rapid identification and classification in field settings. No other method can match its speed efficiency identifying flight. This non-intrusive tool invaluable assessing insect biodiversity, informing conservation planning, evaluating efforts to address declining populations. Although the species richness of co-existing reach tens thousands, current photonic sensors lidars differentiate roughly one hundred signal types. While retrieved number clusters correlate with Malaise trap diversity estimates, this taxonomic specificity, discernible types currently limited by instrumentation algorithm sophistication. In study, we report 32,533 observations wild along 500-meter transect. We benefits polarization bands differentiating compare performance two unsupervised clustering algorithms, namely Hierarchical Cluster Analysis Gaussian Mixture Model. Our analysis shows that polarimetric properties could be partially predicted even unpolarized light, thus provide only minor improvement specificity. Finally, use physical clustered observations, such as wing beat frequency, daily activity patterns, spatial distribution, establish lower bound represented differentiated

Language: Английский

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