A Novel CO2-Based Insect Sampling Device and Associated Field Method Evaluated in a Strawberry Agroecosystem

Bick, Emily; Dryden, Daniel M.; Nguyen, Hoang Danh; Kim, Hyewon

doi:10.1093/jee/toz359

Cited by 5 publications

(2 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Common approaches to collecting insect inventories include sweep netting as well as Malaise-, pan-, and light traps. Each method has its own bias toward certain insect groups (Bick et al, 2020 ) often resulting in the concurrent use of techniques in studies and practice (LaCanne & Lundgren, 2018 ).…”

Section: Introductionmentioning

confidence: 99%

Automating an insect biodiversity metric using distributed optical sensors: an evaluation across Kansas, USA cropping systems

Rydhmer,

Eckberg,

Lundgren

et al. 2023

Preprint

View full text Add to dashboard Cite

Global ecosystems and food supply depend on insect biodiversity for key functions such as pollination and decomposition. High-resolution, accurate data on invertebrate populations and communities across scales are critical for informing conservation efforts. However, conventional data collection methodologies for invertebrates are expensive, labor intensive, and require substantial taxonomic expertise, limiting researchers, practitioners, and policymakers. Novel optical techniques show promise for automating such data collection across scales as they operate unsupervised in remote areas. In this work, optical insect sensors were deployed in 20 agricultural fields in Kansas, USA. Measurements were compared to conventional assessments of insect diversity from sweep nets and Malaise traps. Species richness was estimated on optical insect data by applying a clustering algorithm to the optical insect sensor's signal features of wing-beat frequency and body-to-wing ratio. Species richness correlated more strongly between the optical richness estimate and each of the conventional methods than between the two conventional methods, suggesting sensors can be a reliable indicator of invertebrate richness. Shannon- and Simpson indices were calculated for all three methods but were largely uncorrelated including between conventional methods. Although the technology is relatively new, optical sensors may provide next-generation insight into the spatiotemporal dynamics of invertebrate biodiversity and their conservation.

show abstract

Section: Introductionmentioning

confidence: 99%

Automating an insect biodiversity metric using distributed optical sensors: an evaluation across Kansas, USA cropping systems

Rydhmer,

Eckberg,

Lundgren

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Additionally, conventional methods may be time-consuming, costly and prone to human error such as person-to-person variation in sampling execution [19][20][21] . New methods, like insect anesthetization sampling 22 , are being implemented to minimize these biases. Regardless of sampling method, insect identification is time consuming and requires specialized training.…”

mentioning

confidence: 99%

Automating insect monitoring using unsupervised near-infrared sensors

Rydhmer

Bick

Still³

et al. 2022

Sci Rep

Self Cite

View full text Add to dashboard Cite

Insect monitoring is critical to improve our understanding and ability to preserve and restore biodiversity, sustainably produce crops, and reduce vectors of human and livestock disease. Conventional monitoring methods of trapping and identification are time consuming and thus expensive. Automation would significantly improve the state of the art. Here, we present a network of distributed wireless sensors that moves the field towards automation by recording backscattered near-infrared modulation signatures from insects. The instrument is a compact sensor based on dual-wavelength infrared light emitting diodes and is capable of unsupervised, autonomous long-term insect monitoring over weather and seasons. The sensor records the backscattered light at kHz pace from each insect transiting the measurement volume. Insect observations are automatically extracted and transmitted with environmental metadata over cellular connection to a cloud-based database. The recorded features include wing beat harmonics, melanisation and flight direction. To validate the sensor’s capabilities, we tested the correlation between daily insect counts from an oil seed rape field measured with six yellow water traps and six sensors during a 4-week period. A comparison of the methods found a Spearman’s rank correlation coefficient of 0.61 and a p-value = 0.0065, with the sensors recording approximately 19 times more insect observations and demonstrating a larger temporal dynamic than conventional yellow water trap monitoring.

show abstract

Automating an insect biodiversity metric using distributed optical sensors: an evaluation across Kansas, USA cropping systems

Rydhmer,

Eckberg,

Lundgren

et al. 2024

Preprint

View full text Add to dashboard Cite

Global ecosystems and food supply depend on insect biodiversity for key functions such as pollination and decomposition. High-resolution, accurate data on invertebrate populations and communities across scales are critical for informing conservation efforts. However, conventional data collection methodologies for invertebrates are expensive, labor intensive, and require substantial taxonomic expertise, limiting researchers, practitioners, and policymakers. Novel optical techniques show promise for automating such data collection across scales as they operate unsupervised in remote areas. In this work, optical insect sensors were deployed in 20 agricultural fields in Kansas, USA. Measurements were compared to conventional assessments of insect diversity from sweep nets and Malaise traps. Species richness was estimated on optical insect data by applying a clustering algorithm to the optical insect sensor’s signal features of wing-beat frequency and body-to-wing ratio. Species richness correlated more strongly between the optical richness estimate and each of the conventional methods than between the two conventional methods, suggesting sensors can be a reliable indicator of invertebrate richness. Shannon- and Simpson indices were calculated for all three methods but were largely uncorrelated including between conventional methods. Although the technology is relatively new, optical sensors may provide next-generation insight into the spatiotemporal dynamics of invertebrate biodiversity and their conservation. The implications of this research extend from the field level to the regional level. Much of what scientists understand about the decline of invertebrates comes from a small number of long-term studies that can be coarse and correlational in nature. High-resolution biodiversity data sets on fields to landscapes may provide the insight needed for the successful management and accounting of biodiversity by practitioners and policymakers. Such high-resolution data has the potential to support global efforts and coordination of biodiversity conservation.

show abstract

A Novel CO2-Based Insect Sampling Device and Associated Field Method Evaluated in a Strawberry Agroecosystem

Cited by 5 publications

References 26 publications

Automating an insect biodiversity metric using distributed optical sensors: an evaluation across Kansas, USA cropping systems

Automating an insect biodiversity metric using distributed optical sensors: an evaluation across Kansas, USA cropping systems

Automating insect monitoring using unsupervised near-infrared sensors

Automating an insect biodiversity metric using distributed optical sensors: an evaluation across Kansas, USA cropping systems

Contact Info

Product

Resources

About