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Assessing drivers of localized invasive spread to inform large‐scale management of a highly damaging insect pest
Author(s) -
NunezMir Gabriela C.,
Walter Jonathan A.,
Grayson Kristine L.,
Johnson Derek M.
Publication year - 2022
Publication title -
ecological applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.864
H-Index - 213
eISSN - 1939-5582
pISSN - 1051-0761
DOI - 10.1002/eap.2538
Subject(s) - quadrat , lymantria dispar , ecology , invasive species , metapopulation , pest analysis , population , geography , habitat , dispar , scale (ratio) , gypsy moth , prioritization , integrated pest management , vital rates , biology , population growth , transect , demography , cartography , biological dispersal , entamoeba histolytica , lepidoptera genitalia , botany , sociology , microbiology and biotechnology , management science , economics
Abstract Studies of biological invasions at the macroscale or across multiple scales can provide important insights for management, particularly when localized information about invasion dynamics or environmental contexts is unavailable. In this study, we performed a macroscale analysis of the roles of invasion drivers on the local scale dynamics of a high‐profile pest, Lymantria dispar dispar L., with the purpose of improving the prioritization of vulnerable areas for treatment. Specifically, we assessed the relative effects of various anthropogenic and environmental variables on the establishment rate of 8010 quadrats at a localized scale (5 × 5 km) across the entire L. dispar transition zone (the area encompassing the leading population edge, currently from Minnesota to North Carolina). We calculated the number of years from first detection of L. dispar in a quadrat to the year when probability of establishment of L. dispar was greater than 99% (i.e., waiting time to establishment after first detection). To assess the effects of environmental and anthropogenic variables on each quadrat's waiting time to establishment, we performed linear mixed‐effects regression models for the full transition zone and three subregions within the zone. Seasonal temperatures were found to be the primary drivers of local establishment rates. Winter temperatures had the strongest effects, especially in the northern parts of the transition zone. Furthermore, the effects of some factors on waiting times to establishment varied across subregions. Our findings contribute to identifying especially vulnerable areas to further L. dispar spread and informing region‐specific criteria by invasion managers for the prioritization of areas for treatment.