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Special Collection: Geospatial Analysis of Invasive Insects

Jeff Morisette and Kevin Macaluso
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Annals of the Entomological Society of America in partnership with the National Invasive Species Council is pleased to publish a special collection of new articles on geospatial analysis of invasive insects. 
 
The full list of papers in the collection, including a short article introducing the collection and describing its importance, is available below. All articles in the collection are freely available to read and download through Feb 11, 2021.

Jeffrey T Morisette, Kevin Macaluso, Stanley W Burgiel
Overview of a Special Issue on Geospatial Analysis of Invasive Arthropod Alien Species

An introduction and overview of the special collection from the collection organizers.

Michael J. Brewer, Leonel Deleon, and Isaac L. Esquivel
Geographic Information System (GIS)-Based Mapping and Spatial Analyses Applied to Risk Assessment and Resource Allocation for Boll Weevil (Coleopatra: Curculionidae) Detection

Seven years of spatial data of boll weevil trap captures were overlayed with publicly available data layers of transportation, hydrology, and cropland features in a GIS to demonstrate how existing GIS technologies can be used to support risk assessment of insect pest invaders, such as boll weevil, which persists as a threat to cotton in south Texas.

Tomasz E. Koralewski, Hsiao-Hsuan Wang, William E. Grant, Michael J. Brewer, Norman C. Elliott, John K. Westbrook, Adrianna Szczepaniec, Allen Knutson, Kristopher L. Giles, and J. P. Michaud
Integrating Models of Atmospheric Dispersion and Crop-Pest Dynamics: Linking Detection of Local Aphid Infestations to Forecasts of Region-Wide Invasion of Cereal Crops

A model is used to simulate local and regional infestations of sugarcane aphids on sorghum in the southern/central Great Plains of the United States.

Sindhu M. Krishnankutty, Kevin Bigsby, John Hastings, Yu Takeuchi, Yunke Wu, Steven W. Lingafelter, Hannah Nadel, Scott W. Myers, and Ann M. Ray
Predicting Establishment Potential of an Invasive Wood-Boring Beetle, Trichoferus campestris (Coleoptera: Cerambycidae) in the United States

In this study, we compiled port interception and detection data to examine risk of transport of Trichoferus compestris based on historical introductions and pathways, tested whether the intended destination of cargo intercepted with T. campestris-infested wood packaging material can be used as a predictor of inland introductions, and developed maps to predict likely areas of introduction and establishment in the United States.

Amy C. Morey and Robert C. Venette
Minimizing Risk and Maximizing Spatial Transferability: Challenges in Constructing a Useful Model of Potential Suitability for an Invasive Insect

We explore ways to improve the usefulness of a popular machine-learning tool to forecast where invasive insects may be a risk. One interesting finding is that using data from the genetic origin of an invasive population may result in forecasts that are more accurate.

Anna M. Szyniszewska, Norman C. Leppla, Nicholas C. Manoukis, Travis C. Collier, John M. Hastings, Darren J. Kriticos, and Kevin M. Bigsby
CLIMEX and MED-FOES Models for Predicting the Variability in Growth Potential and Persistence of Mediterranean Fruit Fly (Diptera: Tephritidae) Populations

This paper explores the application of CLIMEX and MED-FOES models to simulate the insect pest species (Ceratitis capitata - medfly) population growth and time to extirpation responses to seasonal and interannual climate variability in Florida and California.

R. Talbot Trotter III, Samita Limbu, Kelli Hoover, Hannah Nadel, and Melody A. Keena
Comparing Asian Gypsy Moth [Lymantria dispar asiatica (Lepidoptera: Erebidae) and L. dispar japonica] Trap Data From East Asian Ports With Lab Parameterized Phenology Models: New Tools and Questions

The gypsy moths found in East Asia represent a serious ecological threat to North American Forests.  Using trap data from ports in Russia, South Korea, and Japan, a new model describing when moths might infest cargo and ships is presented.

Theresa M. Crimmins, Katharine L. Gerst, Diego G. Huerta, R. Lee Marsh, Erin E. Posthumus, Alyssa H. Rosemartin, Jeff Switzer, Jake F. Weltzin, Len Coop, Nicholas Dietschler, Daniel A. Herms, Samita Limbu, R. Talbot Trotter III, and Mark Whitmore
Short-Term Forecasts of Insect Phenology Inform Pest Management

In collaboration with partners, the USA National Phenology Network offers real-time and short-term forecast maps for insect pest activity. These Pheno Forecasts indicate life cycle stages in real time across the contiguous United States for a dozen problematic insect pests to support early detection and control, and increase treatment efficacy.

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