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1 February 2013 Predicting Habitat Suitability of Coptotermes gestroi (Isoptera: Rhinotermitidae) With Species Distribution Models
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Abstract

Coptotermes gestroi (Wasmann) is an important structural pest reported from Asia, Pacific islands, North America, Caribbean islands, South America, and Indian Ocean islands. This study summarized previous records of C. gestroi and its synonyms, presenting 184 infested counties from 24 countries. Based on the geo-references occurrence locations and global raster data of climate, geography, and human population, C. gestroi were found most commonly in warm, high precipitation, low altitude, and human populated areas. By using species distribution models, we predicted its current infested area (model 1), habitat suitability (model 2), and probability of introduction (model 3) on a global scale. The results showed its recorded locations and the predicted distribution of the present day are similar, but the suitable habitat is larger than its current distribution. The patterns of the introduction frequency (model 3) and habitat suitability (model 2) are inconsistent. Temperate cities with high introduction risk are located in Europe, United Sates, northeastern China, and Japan where habitat suitability is low and hence successful colonization is unlikely. In tropics and subtropics, habitat suitability of C. gestroi is high. We speculate that continuous urbanization and increasing human population will increase its introduction frequency and cause further extension in fast developing tropical and subtropical countries.

© 2013 Entomological Society of America
Hou-Feng Li, Hou-Feng Li, Ikuko Fujisaki, Ikuko Fujisaki, Nan-Yao Su, Nan-Yao Su, "Predicting Habitat Suitability of Coptotermes gestroi (Isoptera: Rhinotermitidae) With Species Distribution Models," Journal of Economic Entomology 106(1), (1 February 2013). https://doi.org/10.1603/EC12309 . Submission: Received: 3 August 2012; Accepted: 1 October 2012
Received: 3 August 2012; Accepted: 1 October 2012; Published: 1 February 2013
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