Affiliation:
1. State Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, College of Plant Protection, Fujian Agriculture and Forestry University, Fuzhou 350002, China
Abstract
In the present study, a global presence/absence dataset including 2486 scale insect species in 157 countries was extracted to assess the establishment risk of potential invasive species based on a self-organizing map (SOM). According to the similarities in species assemblages, a risk list of scale insects for each country was generated. Meanwhile, all countries in the dataset were divided into five clusters, each of which has high similarities of species assemblages. For those countries in the same neuron of the SOM output, they may pose the greatest threats to each other as the sources of potential invasive scale insect species, and therefore, require more attention from quarantine departments. In addition, normalized ζi values were used to measure the uncertainty of the SOM output. In total, 9 out of 63 neurons obtained high uncertainty with very low species counts, indicating that more investigation of scale insects should be undertaken in some parts of Africa, Asia and Northern Europe.
Funder
National Natural Science Foundation of China
Fujian Agriculture and Forestry University Science Fund for Distinguished Young Scholars
Reference42 articles.
1. Modelling global insect pest species assemblages to determine risk of invasion;Worner;J. Appl. Ecol.,2006
2. Pimentel, D. (1993). Habitat Factors in New Pest Invasions, Wiley.
3. Update on the environmental and economic costs associated with alien-invasive species in the United States;Pimentel;Ecol. Econ.,2005
4. Estimating the risk of insect species invasion: Kohonen self-organising maps versus k-means clustering;Watts;Ecol. Model.,2009
5. Qin, Y., Paini, D.R., Wang, C., Fang, Y., and Li, Z. (2015). Global establishment risk of economically important fruit fly species (Tephritidae). PLoS ONE, 10.
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