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Open AccessArticle

Occurrence Prediction of the Citrus Flatid Planthopper (Metcalfa pruinosa (Say, 1830)) in South Korea Using a Random Forest Model

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Department of Biology, Kyung Hee University, Seoul 02447, Korea
2
Division of Life Sciences, Incheon National University, Incheon 22012, Korea
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Department of Biological Science and Biotechnology, Hannam University, Daejeon 34054, Korea
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Division of Entomology, Seoul National University, Seoul 08826, Korea
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Department of Applied Biology, Kyungpook National University, Sangju 37224, Korea
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Department of Life and Nanopharmaceutical Sciences, Kyung Hee University, Seoul 02447, Korea
*
Author to whom correspondence should be addressed.
Forests 2019, 10(7), 583; https://doi.org/10.3390/f10070583
Received: 6 June 2019 / Revised: 28 June 2019 / Accepted: 9 July 2019 / Published: 12 July 2019
(This article belongs to the Special Issue Impacts, Monitoring and Management of Forest Pests and Diseases)
Invasive species cause a severe impact on existing ecosystems. The citrus flatid planthopper (CFP; Metcalfa pruinosa (Say, 1830)) is an invasive species in many countries. Predicting potential occurrence areas of the species related to environmental conditions is important for effective forest ecosystem management. In this study, we evaluated the occurrence patterns of the CFP and predicted its potential occurrence areas in South Korea using a random forest model for a hazard rating of forests considering meteorological and landscape variables. We obtained the occurrence data of the CFP in South Korea from literature and government documents and extracted seven environmental variables (altitude, slope, distance to road (geographical), annual mean temperature, minimum temperature in January, maximum temperature in July, and annual precipitation (meteorological)) and the proportion of land cover types across seven categories (urban, agriculture, forest, grassland, wetland, barren, and water) at each occurrence site from digital maps using a Geographic Information System. The CFP occurrence areas were mostly located at low altitudes, near roads and urbanized areas. Our prediction model also supported these results. The CFP has a high potential to be distributed over the whole of South Korea, excluding high mountainous areas. Finally, factors related to human activities, such as roads and urbanization, strongly influence the occurrence and dispersal of the CFP. Therefore, we propose that these factors should be considered carefully in monitoring and surveillance programs for the CFP and other invasive species. View Full-Text
Keywords: hazard rating; invasive species; surveillance; forest ecosystem management; prediction model; species distribution model; random forest hazard rating; invasive species; surveillance; forest ecosystem management; prediction model; species distribution model; random forest
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Lee, D.-S.; Bae, Y.-S.; Byun, B.-K.; Lee, S.; Park, J.K.; Park, Y.-S. Occurrence Prediction of the Citrus Flatid Planthopper (Metcalfa pruinosa (Say, 1830)) in South Korea Using a Random Forest Model. Forests 2019, 10, 583.

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