ArticlePest management science2022
Evaluating invasion risk and population dynamics of the brown marmorated stink bug across the contiguous United States.
Article in Pest management science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
5 citing papers in PubMed.
- Comparative modelling of two migratory locusts along the China-Kazakhstan border under climate change: Poleward habitat shifts and increasing transboundary risk.Pest management science · 2026Article
- Assessing Whether Habitat Suitability Models Can Predict Abundance of an Insect Pest.Ecology and evolution · 2026Article
- Stink bug species composition and risk of economic damage in the southeastern soybean cropping systems.Environmental entomology · 2026Article
- Validation of phenology models for Halyomorpha halys (Hemiptera: Pentatomidae) using field data from climatically different ecoregions.Environmental entomology · 2025Article
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Corrections and comments
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Authors and funding
51 authors.
Funding
Abstract
backgroundInvasive species threaten the productivity and stability of natural and managed ecosystems. Predicting the spread of invaders, which can aid in early mitigation efforts, is a major challenge, especially in the face of climate change. While ecological niche models are effective tools to assess habitat suitability for invaders, such models have rarely been created for invasive pest species with rapidly expanding ranges. Here, we leveraged a national monitoring effort from 543 sites over 3 years to assess factors mediating the occurrence and abundance of brown marmorated stink bug (BMSB, Halyomorpha halys), an invasive insect pest that has readily established throughout much of the United States.
resultsWe used maximum entropy models to estimate the suitable habitat of BMSB under several climate scenarios, and generalized boosted models to assess environmental factors that regulated BMSB abundance. Our models captured BMSB distribution and abundance with high accuracy, and predicted a 70% increase in suitable habitat under future climate scenarios. However, environmental factors that mediated the geographical distribution of BMSB were different from those driving abundance. While BMSB occurrence was most affected by winter precipitation and proximity to populated areas, BMSB abundance was influenced most strongly by evapotranspiration and solar photoperiod.
conclusionOur results suggest that linking models of establishment (occurrence) and population dynamics (abundance) offers a more effective way to forecast the spread and impact of BMSB and other invasive species than simply occurrence-based models, allowing for targeted mitigation efforts. Implications of distribution shifts under climate change are discussed. © 2022 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.
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