Temporal dynamics and drivers of landscape‐level spread by emerald ash borer

Abstract

Non‐native insects pose threats to forest health and often spread via stratified dispersal in which long‐distance jumps cause elevated rates of range expansion. Quantifying patterns and developing models of spread are central to understanding drivers of invasion and forecasting future invasions. We investigated the utility of models for characterizing and predicting spread of emerald ash borer (EAB), quantified temporal dynamics of spread and identified correlates of county‐level invasion risk. We estimated rates and frequency of EAB spread and length of long‐distance jumps throughout the contiguous USA from 1997 to 2018 and compared observed patterns with model predictions. A time‐to‐event model was then developed at the county level to assess the influence of habitat characteristics and propagule pressure on invasion risk. The final model was used to forecast invasion risk across the contiguous USA. Range expansion by EAB accorded well with model predictions. Following the initial establishment phase, range expansion rates were biphasic, shifting to a faster, linear pattern around 2002 and then declining from 2015 onwards. From 2003 onwards, EAB invaded 6–134 new counties per year, including a mean of 14 discrete jumps per year averaging 93 ± 7 SE km. Risk of spread was positively associated with proximity to previously invaded areas, human population density and densities of ash and non‐ash trees in rural forests but negatively associated with temperature. Synthesis and applications. At the regional level, the invasion by emerald ash borer appears to be entering the saturation phase, indicating that most high‐risk counties in the eastern USA have been invaded. Even though spread has recently slowed, counties in close proximity to invaded areas and that have high densities of humans and trees are at the greatest risk of becoming invaded. Taken together, our findings provide insight into historical and future dynamics of range expansion by emerald ash borer, which can be used to guide risk assessments for potential invaders capable of frequent long‐distance dispersal.

Predicting the potential for spread of emerald ash borer (Agrilus planipennis) in Great Britain: What can we learn from other affected areas?

“…National data on the presence of EAB by year were obtained for the United States, Canada and European Russia (Figure 1). The dataset for the United States, compiled by USDA APHIS, consists of county level records by year of first positive identification (Ward et al, 2020). The dataset for Canada, compiled by CFIA and supplied under the Open Government Licence-Canada (later years were manually extracted from individual outbreak reports; Canadian Food Inspection Agency, 2020), consists of georeferenced point locations by year of first positive identification.…”

“…Following Ward et al (2020) we assume that the first tree death marks the end of the establishment phase of the pest during which Ward et al (2020) suggest there is minimal spread.…”

“…The green circles on subplot (d) highlight the data points for Canada. Data for the United States were compiled by the United States Department of Agriculture, Animal and Plant Health Inspection Service (Ward et al, 2020). Data for Canada were compiled by the Canadian Food Inspection Agency and supplied under the Open Government Licence-Canada.…”

Supplementary material 1 from: Mally R, Ward SF, Trombik J, Buszko J, Medzihorský V, Liebhold AM (2021) Non-native plant drives the spatial dynamics of its herbivores: the case of black locust (Robinia pseudoacacia) in Europe. NeoBiota 69: 155-175. https://doi.org/10.3897/neobiota.69.71949

“…In order to explore factors affecting spread of each species, we applied Cox Proportional Hazard analysis following the approach used by Ward et al (2020). This model quantifies the probability that each uninvaded location will become invaded at annual time steps as a function of a series of candidate explanatory variables.…”

Insect and Disease Disturbances Correlate With Reduced Carbon Sequestration in Forests of the Contiguous United States

“…National Forest Inventory (NFI) data are widely used to evaluate the impacts of disturbance on forest ecosystems throughout the US (Fei et al, 2019;Coulston et al, 2020;Ward et al, 2020;Burrill et al, 2021;Randolph et al, 2021). We assigned each NFI plot to a dominant disturbance type (i.e., animal, disease, fire, geologic, insect, none, unknown, vegetation, or weather) based on the greatest proportion of condition-level disturbance recorded on the plot at the most recent NFI measurement.…”