title: Assessing the Global Risk of Establishment of Cydia pomonella (Lepidoptera: Tortricidae) using CLIMEX and MaxEnt Niche Models.
abstract: Accurate assessment of insect pest establishment risk is needed by national plant protection organizations to negotiate international trade of horticultural commodities that can potentially carry the pests and result in inadvertent introductions in the importing countries. We used mechanistic and correlative niche models to quantify and map the global patterns of the potential for establishment of codling moth (Cydia pomonella L.), a major pest of apples, peaches, pears, and other pome and stone fruits, and a quarantine pest in countries where it currently does not occur. The mechanistic model CLIMEX was calibrated using species-specific physiological tolerance thresholds, whereas the correlative model MaxEnt used species occurrences and climatic spatial data. Projected potential distribution from both models conformed well to the current known distribution of codling moth. None of the models predicted suitable environmental conditions in countries located between 20°N and 20°S potentially because of shorter photoperiod, and lack of chilling requirement (<60 d at ≤10°C) in these areas for codling moth to break diapause. Models predicted suitable conditions in South Korea and Japan where codling moth currently does not occur but where its preferred host species (i.e., apple) is present. Average annual temperature and latitude were the main environmental variables associated with codling moth distribution at global level. The predictive models developed in this study present the global risk of establishment of codling moth, and can be used for monitoring potential introductions of codling moth in different countries and by policy makers and trade negotiators in making science-based decisions.
authors.affiliation: Natural Resource Ecology Laboratory, Colorado State University, Fort Collins, CO 80523-1499. Sunil.Kumar@colostate.edu.
authors.forename: Sunil
authors.initials: S
authors.lastname: Kumar
authors.affiliation: United States Department of Agriculture- Agriculture Research Service, Yakima Agricultural Research Laboratory, 5230 Konnowac Pass Rd., Wapato, WA 9895.
authors.forename: Lisa G
authors.initials: LG
authors.lastname: Neven
authors.affiliation: Institute of Zoology, Chinese Academy of Sciences, Beichen West Rd., Chaoyang, Beijing 100101, China.
authors.forename: Hongyu
authors.initials: H
authors.lastname: Zhu
authors.affiliation: Institute of Zoology, Chinese Academy of Sciences, Beichen West Rd., Chaoyang, Beijing 100101, China.
authors.forename: Runzhi
authors.initials: R
authors.lastname: Zhang
mesh_terms: D063147:Animal Distribution; D000818:Animals; D058865:Introduced Species; D008954:Models, Biological; D009036:Moths / Q000502:physiology*; D017440:Photoperiod; D013696:Temperature
keywords: biosecurity; insect pest; pest risk analysis; quarantine pest; species distribution modeling