Abstract

Food security is threatened by newly emerging pests with increased invasive potential accelerated through globalization. The Neotropical jumping plant louse Russelliana solanicola Tuthill is currently a localized potato pest and probable vector of plant pathogens. It is an unusually polyphagous species and is widely distributed in and along the Andes. To date, introductions have been detected in eastern Argentina, southern Brazil and Uruguay. Species distribution models (SDMs) and trait comparisons based on contemporary and historical collections are used to estimate the potential spread of R. solanicola worldwide. We also extend our analyses to all described species in the genus Russelliana in order to assess the value of looking beyond pest species to predict pest spread. We investigate the extent to which data on geographical range and environmental niche can be effectively extracted from museum collections for comparative analyses of pest and non-pest species in Russelliana. Our results indicate that R. solanicola has potential for invasion in many parts of the world with suitable environmental conditions that currently have or are anticipated to increase potato cultivation. Large geographical ranges are characteristic of a morphological subgeneric taxon group that includes R. solanicola; this same group also has a larger environmental breadth than other groups within the genus. Ecological modelling using museum collections provides a useful tool for identifying emerging pests and developing integrated pest management programs.

Highlights

  • Russelliana has the largest number of Solanaceae feeding species; in addition to R. solanicola, four species (R. capsici Burckhardt, R. disparilis Tuthill, R. fabianae Burckhardt and R. lycii Tuthill) have Solanaceae hosts confirmed with immature material, and three species (R. adunca Burckhardt, R. nigra Burckhardt and R. similis Burckhardt) have no immature records or host data, but probably develop on Solanaceae [37,38,39,40,41,42]

  • Predictive performance of the R. solanicola Species distribution models (SDMs) was good with all five replicate models having an area under the curve (AUC) of 0.77 and above

  • Russelliana solanicola occurrences had a quadratic relationship with EVI, with values ranging from 0 to 100,000, optimal probability of occurrence ranged from 800–2,500; the dominant geological age was Triassic/Jurassic (~250–200 million years ago) and optimal mean annual temperature was between 15–22 ̊C

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Summary

Objectives

Our objective is to harness museum specimen information and systematic and biogeographic knowledge of Russelliana to provide insights and predictions for an emerging pest

Methods
Results
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