Biological Invasions

, Volume 17, Issue 12, pp 3359–3369 | Cite as

Quantifying Dispersal of the Asian longhorned beetle (Anoplophora glabripennis, Coleoptera) with incomplete data and behavioral knowledge

  • R. Talbot TrotterIIIEmail author
  • Helen M. Hull-Sanders
Original Paper


Eradication programs for invasive species can benefit from tools that delineate infestations and identify patterns of spread to guide eradication priorities and activities. However, identifying these patterns in cryptic organisms such the Asian longhorned beetle can be complicated by the sometimes conflicting needs of rapid eradication and research. Here, we describe the use of a simple approach based on tools and concepts used in graph theory to infer beetle movement, using infested tree records collected by the Asian Longhorned Beetle Eradication Program in Worcester, MA, the largest infestation yet found in the U.S. Analyses included two sets of assumptions about beetle dispersal (representing a gap in knowledge of beetle biology), and two data sets of varying completeness, which were combined to develop and compare four scenarios of beetle dispersal in Worcester, MA. Together, these four scenarios suggest that the shape of the beetle dispersal-distance probability curve or dispersal kernel is more sensitive to assumptions about the predilection of beetles to disperse than to the size and completeness of the infested tree database, though both impacted inferred patterns of dispersal. The four scenarios are used to produce empirical estimates of dispersal risk around the current infestation, which can inform eradication efforts while recognizing the limits of data availability in a rapidly evolving eradication program. These estimates of dispersal also highlight the importance of continuing to integrate data collection into eradication programs, and the need to expand our understanding of beetle behavior and biology, as the data shown suggest that differences in dispersal behavior could dictate different eradication strategies.


Invasion dynamics Population spread Dispersal kernel Host adjacency 



We thank Clint McFarland, Ryan Vazquez, and Eugene Pepper with the United States Department of Agriculture Animal and Plant Health Inspection Service Plant Pest Quarantine Asian Longhorned Beetle Eradication Program and Audra Baker and William Panagakos with the United States Department of Agriculture Animal and Plant Health Inspection Service Center for Plant Health Science and Technology for their help in accessing and interpreting the infested tree databases, and we thank the numerous field surveyors who have surveyed the 5 million-plus trees in the regulated areas. We also thank three anonymous reviewers for their comments, which greatly improved the clarity and structure of the paper. Support for this work was provided by the USDA Forest Service, Northern Research Station, and the USDA APHIS Center for Plant Health Science and Technology.


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Copyright information

© Springer International Publishing Switzerland (outside the USA) 2015

Authors and Affiliations

  • R. Talbot TrotterIII
    • 1
    Email author
  • Helen M. Hull-Sanders
    • 2
    • 3
  1. 1.USDA Forest Service, Northern Research StationHamdenUSA
  2. 2.Otis Lab, Center for Plant Health Science and TechnologyUSDA Animal and Plant Health Inspection ServiceBuzzards BayUSA
  3. 3.Stevens Institute of TechnologyHobokenUSA

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