Insect Affects

Santaoja, Minna

doi:10.23987/sts.107703

Cited by 2 publications

(2 citation statements)

References 42 publications

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“…If the pest is spreading across geopolitical boundaries, multiple organisations with different jurisdictions and areas of operation are likely to collect field data. In addition, easy-to-identify pests are likely to attract public attention and involvement, fostering the collection of citizen-science data (Dickinson et al 2010;Catlin-Groves 2012;Sullivan et al 2014;Kobori et al 2016;Johnson et al 2020;Norman-Burgdolf and Rieske 2021;Santaoja 2022). Obtaining access to the data often requires directly contacting the maintainer of the dataset in the relevant institution and obtaining memoranda-of-understanding to use the data once shared.…”

Section: Introductionmentioning

confidence: 99%

lydemapr: an R package to track the spread of the invasive spotted lanternfly (Lycorma delicatula, White 1845) (Hemiptera, Fulgoridae) in the United States

Bona¹,

Barringer²,

Kurtz³

et al. 2023

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A crucial asset in the management of invasive species is the open-access sharing of data on the range of invaders and the progression of their spread. Such data should be current, comprehensive, consistent and standardised, to support reproducible and comparable forecasting efforts amongst multiple researchers and managers. Here, we present the lydemapr R package containing spatiotemporal data and mapping functions to visualise the current spread of the spotted lanternfly (Lycorma delicatula, White 1841) in the Western Hemisphere. The spotted lanternfly is a forest and agricultural pest in the eastern Mid-Atlantic Region of the U.S., where it was first discovered in 2014. As of 2023, it has been found in 14 states according to State and Federal Departments of Agriculture. However, the lack of easily accessible, fine-scale data on its spread hampers research and management efforts. We obtained multiple memoranda-of-understanding from several agencies and citizen-science projects, gaining access to their internal data on spotted lanternfly point observations. We then cleaned, harmonised, anonymised and combined the individual data sources into a single comprehensive dataset. The resulting dataset contains spatial data gridded at the 1 km2 resolution, with yearly information on the presence/absence of spotted lanternflies, establishment status and population density across 658,390 observations. The lydemapr package will aid researchers, managers and the public in their understanding, modelling and managing of the spread of this invasive pest.

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Section: Introductionmentioning

confidence: 99%

lydemapr: an R package to track the spread of the invasive spotted lanternfly (Lycorma delicatula, White 1845) (Hemiptera, Fulgoridae) in the United States

Bona¹,

Barringer²,

Kurtz³

et al. 2023

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“…Recent reviews have discussed the use of online photographs in entomology through the lens of community science (e.g., Goula et al 2012, Acorn 2017, Hamer et al 2018, Marshall 2018, Mesaglio et al 2021, Gardiner and Roy 2022, Poh et al 2022, Santaoja 2022). However, it has been difficult to quantify the impact of this technological revolution on entomology.…”

Section: Introductionmentioning

confidence: 99%

Online community photo-sharing in entomology: a large-scale review with suggestions on best practices

Skvarla,

Fisher

2023

Annals of the Entomological Society of America

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Over the past 2 decades, digital photography has grown increasingly accessible. This has ushered in a golden age of community science, where nonspecialists share natural history observations from across the globe via digital media. Importantly, these observations are accessible to researchers, who can readily share expertise directly with the community and connect observations and observers with research projects. This has fueled a rising number of publications combining specialist and nonspecialist observations, which occasionally make national and international headlines. Entomology has embraced this trend, but the scope and impact are not clear. A review of its effect on the field is therefore warranted. Herein, we review and analyze publications that incorporated information from photographs shared on photo-sharing websites. In total, 2,123 publications that incorporated information from 77 photo-sharing websites were examined. Seven websites accounted for 66% of the publication citations. 84.6% of publications focused on data from the Holarctic ecoregion (56.2% Palearctic and 28.4% Nearctic). Forty-six arthropod orders were represented, but the Big Five—Lepidoptera, Coleoptera, Hymenoptera, Hemiptera, and Diptera—accounted for 75% of all publications. We divide the publications into 28 discovery and use categories, review how community photograph data has been used within each category, and provide examples of categories utilized in nonentomology natural history fields, which we hope will provide inspiration and spur future research. We also discuss benefits and considerations when using such data—including the accuracy of identifications, inherent biases, and digital data impermanence—and suggest best practices to follow.

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Insect Affects

Cited by 2 publications

References 42 publications

lydemapr: an R package to track the spread of the invasive spotted lanternfly (Lycorma delicatula, White 1845) (Hemiptera, Fulgoridae) in the United States

lydemapr: an R package to track the spread of the invasive spotted lanternfly (Lycorma delicatula, White 1845) (Hemiptera, Fulgoridae) in the United States

Online community photo-sharing in entomology: a large-scale review with suggestions on best practices

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