Abstract

Fruit flies are a well-known invasive species, and climate-based risk modeling is used to inform risk analysis of these pests. However, such research tends to focus on already well-known invasive species. This paper illustrates that appropriate risk modeling can also provide valuable insights for flies which are not yet “on the radar.”Carpomya pardalinais a locally important cucurbit-infesting fruit fly of western and central Asia, but it may present a risk to other temperate countries where melons are grown. MaxEnt models were used to map the risk area for this species under historical and future climate conditions averaged from three global climate models under two shared socio-economic pathways in 2030 and 2070 from higher climate sensitivity models based on the upcoming 2021 IPCC sixth assessment report. The results showed that a total of 47.64% of the world’s land mass is climatically suitable for the fly; it could establish widely around the globe both under current and future climates with host availability. Our MaxEnt modeling highlights particularly that Western China, Russia, and other European countries should pay attention to this currently lesser-known melon fly and the melons exported from the present countries. The current and expanding melon trade could offer direct invasion pathways to those regions. While this study offers specific risk information onC. pardalina, it also illustrates the value of applying climate-based distribution modeling to species with limited geographic distributions.

Highlights

  • Climate change and biological invasion are two interlinked global challenges

  • Principal component analysis and correlation analysis of 19 bioclimatic variables were conducted for variable selection

  • In Principal component analysis (PCA), the first four principal components explained 90.033% of the total variance with the first and fourth components mainly attributed to temperature and the second and third attributed to precipitation

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Summary

Introduction

Invasive species can cause far-reaching ecological and economic impacts in invaded regions (Mack et al, 2000; Cook et al, 2007; Hulme, 2009), while climate change can assist invasive species by increasing their probability of establishing if areas which are currently environmentally unsuitable become more suitable (Early et al, 2016; Hulme, 2017) This is true for insects, which depend on local environmental conditions for survival and development within their thermal limits (McGeoch et al, 2010; Cornelissen et al, 2019). In this study we model the potential distribution of one such fly to illustrate this point

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