Evaluating invasion risk and population dynamics of the brown marmorated stink bug across the contiguous United States

Javier Gutiérrez Illán, Gengping Zhu, James F. Walgenbach, Angel Acebes-Doria, Arthur M. Agnello, Diane G. Alston, Heather Andrews, Elisabeth H. Beers, J. Christopher Bergh, Ricardo T. Bessin, Brett R. Blaauw, G. David Buntin, Erik C. Burkness, John P. Cullum, Kent M. Daane, Lauren E. Fann, Joanna Fisher, Pierre Girod, Larry J. Gut, George C. HamiltonJames R. Hepler, Richard Hilton, Kim A. Hoelmer, William D. Hutchison, Peter J. Jentsch, Shimat V. Joseph, George G. Kennedy, Grzegorz Krawczyk, Thomas P. Kuhar, Jana C. Lee, Tracy C. Leskey, Adrian T. Marshal, Joshua M. Milnes, Anne L. Nielsen, Dilani K. Patel, Hillary D. Peterson, Dominic D. Reisig, Jhalendra P. Rijal, Ashfaq A. Sial, Lori R. Spears, Judith M. Stahl, Kathy M. Tatman, Sally V. Taylor, Glynn Tillman, Michael D. Toews, Raul T. Villanueva, Celeste Welty, Nik G. Wiman, Julianna K. Wilson, Frank G. Zalom, David W. Crowder

Research output: Contribution to journalArticlepeer-review

Abstract

BACKGROUND: Invasive 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. RESULTS: We 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. CONCLUSION: Our 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.

Original languageEnglish
Pages (from-to)4929-4938
Number of pages10
JournalPest Management Science
Volume78
Issue number11
DOIs
StatePublished - Nov 2022

Bibliographical note

Funding Information:
This work was supported by USDA‐NIFA‐SCRI grant no. 2016‐51181‐25409. The authors also thank the many students, colleagues and research assistants who helped collect BMSB data from the field and assist in the data analyses.

Funding Information:
This work was supported by USDA-NIFA-SCRI grant no. 2016-51181-25409. The authors also thank the many students, colleagues and research assistants who helped collect BMSB data from the field and assist in the data analyses.

Publisher Copyright:
© 2022 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

Keywords

  • climate change
  • distribution change
  • ecological niche models
  • invasive species
  • species distribution models

ASJC Scopus subject areas

  • Agronomy and Crop Science
  • Insect Science

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