Elucidating how the red imported fire ant (Solenopsis invicta) diffused spatiotemporally among different landscapes in north Taiwan, 2008–2015

Solenopsis invicta Buren, also known as the red imported fire ant (RIFA), has had a large negative impact on human and livestock health. However, few studies have further investigated the influence of human land use, which is an important factor affecting the habitats of insects, on the expansion of RIFAs. In addition, there is a lack of knowledge of the empirical associations between RIFA diffusion and land use within countries. Therefore, the objectives of this study were to provide an approach to delineate the areas of RIFA infestations and explore how land use influences the spatiotemporal diffusion of S. invicta. We used RIFA data from 2008 to 2015 from the RIFA surveillance system, which was conducted by the National RIFA Control Center in Taiwan. Two regions in Taiwan with different RIFA infestation levels were investigated. The ordinary kriging method was applied to show the spatial intensity of RIFAs, and the extreme distance estimator method was applied to determine the critical dispersal distances, which showed the distance of the highest probability of RIFAs in two consecutive years. In addition, network analyses were used to identify RIFA invasion routes between land‐use types. Finally, bivariate local indicators of spatial association were used to capture the invasion process in time and space. The results showed, paddy fields, main roads, and warehouses were identified as the top three land‐use types of diffusion sources. On average, the critical RIFA dispersal distances were 600 and 650 m in two consecutive years in high‐ and low‐infestation regions, respectively. Finally, RIFAs were likely to diffuse between main roads and warehouses in the low‐infestation region. Therefore, it is suggested that RIFA control activities be implemented at least 600 m from the observed spot. Additionally, control activities should be conducted on the identified three land‐use types of diffusion sources in the high‐infestation region, and the roadsides between main roads and warehouses in the low‐infestation region to prevent the accidental spread of RIFAs. Hot spot and invasive areas of RIFAs in Taoyuan by years: (a) 2012–2013, (b) 2013–2014, and (c) 2014–2015. Red blocks are hot spots, indicating high intensity of S. invicta for both consecutive years. Blue blocks represent diffusion areas that had a significantly higher intensity of S. invicta for the later year.