@article{kim_hong_egger_katsar_griffin_2019, title={Predictive Modeling and Categorizing Likelihoods of Quarantine Pest Introduction of Imported Propagative Commodities from Different Countries}, volume={39}, ISBN={1539-6924}, DOI={10.1111/risa.13252}, abstractNote={Abstract}, number={6}, journal={RISK ANALYSIS}, author={Kim, ByeongJoon and Hong, Seung Cheon and Egger, Daniel and Katsar, Catherine S. and Griffin, Robert L.}, year={2019}, month={Jun}, pages={1382–1396} }
 @article{magarey_newton_hong_takeuchi_christie_jarnevich_kohl_damus_higgins_millar_et al._2018, title={Comparison of four modeling tools for the prediction of potential distribution for non-indigenous weeds in the United States}, volume={20}, ISSN={["1573-1464"]}, url={http://www.scopus.com/inward/record.url?eid=2-s2.0-85029595135&partnerID=MN8TOARS}, DOI={10.1007/s10530-017-1567-1}, number={3}, journal={BIOLOGICAL INVASIONS}, publisher={Springer Science and Business Media LLC}, author={Magarey, Roger and Newton, Leslie and Hong, Seung Cheon and Takeuchi, Yu and Christie, David and Jarnevich, Catherine S. and Kohl, Lisa and Damus, Martin and Higgins, Steven I. and Millar, Leah and et al.}, year={2018}, month={Mar}, pages={679–694} }
 @article{magarey_hong_fourie_christie_miles_schutte_gottwald_2015, title={Prediction of Phyllosticta citricarpa using an hourly infection model and validation with prevalence data from South Africa and Australia}, volume={75}, ISSN={["1873-6904"]}, DOI={10.1016/j.cropro.2015.05.016}, abstractNote={An hourly infection model was used for a risk assessment of citrus black spot (CBS) caused by Phyllosticta citricarpa. The infection model contained a temperature-moisture response function and also included functions to simulate ascospore release and dispersal of pycnidiospores. A validation data set of 18 locations from South Africa and Australia was developed based on locations with known citrus black spot prevalence. An additional 67 sites from Europe and the United States with unknown prevalence were also identified. The model was run for each location with 9 years of hourly weather data from the National Centers for Environmental Prediction (NCEP) Climate Forecast System Reanalysis (CFSR) database. The infection scores for the sites with known prevalence where ranked and a threshold for suitability in a given year was derived from the average score of the lowest ranked moderate prevalence site. The results of the simulation confirm that locations in Florida were high risk while most locations in California and Europe were not at risk. The European location with the highest risk score was Andravida, Greece which had 67% of years suitable for ascosporic infection but only 11% of years were suitable for pycnidiosporic infection. There were six other sites in Europe that had frequency of years suitable for ascosporic infection greater than 22% including Pontecagnano, Italy; Kekrya, Greece; Reggio Calabria, Italy; Cozzo Spadaro, Italy; Messina, Italy; and Siracusa, Italy. Of these six sites only Reggio Calabria had a frequency of years suitable for pycnidiosporic infection greater than 0%. These six sites are predicted to have prevalence similar or less than Messina, South Africa, i.e. low and occasional. Other sites in Europe would best be described as likely to have no prevalence based on very low simulated scores for both spore types. Although Andravida had a similar risk of infection to moderate locations in South Africa there was a difference in the seasonality of infection periods. The ascosporic infection period score was similar between the two sites, but Andravida had a much lower pycnidiosporic infection score in the middle of the period of fruit susceptibility than Addo, South Africa. In Europe favorable climatic conditions are discontinuous, i.e., there is a low frequency of suitable seasons. This raises doubts about the ability of the pathogen to persist at a location and cause disease loss when favorable seasons reoccur. These results suggest that Europe is less suitable for CBS than suggested by an earlier study produced by the European Food Safety Authority using a similar model. The findings from our model simulations suggest that only a few isolated locations in the extreme south of Europe are likely to have a low to marginal risk of P. citricarpa establishment.}, journal={CROP PROTECTION}, publisher={Elsevier BV}, author={Magarey, Roger D. and Hong, Seung Cheon and Fourie, Paul H. and Christie, David N. and Miles, Andrew K. and Schutte, Gerhardus C. and Gottwald, Timothy R.}, year={2015}, month={Sep}, pages={104–114} }
 @article{hong_magarey_borchert_vargas_souder_2015, title={Site-specific temporal and spatial validation of a generic plant pest forecast system with observations of Bactrocera dorsalis (oriental fruit fly)}, volume={27}, ISSN={["1314-2488"]}, DOI={10.3897/neobiota.27.5177}, abstractNote={This study introduces a simple generic model, the Generic Pest Forecast System (GPFS), for simulating the relative populations of non-indigenous arthropod pests in space and time. The model was designed to calculate the population index or relative population using hourly weather data as influenced by de velopmental rate, high and low temperature mortalities and wet soil moisture mortality. Each module contains biological parameters derived from controlled experiments. The hourly weather data used for the model inputs were obtained from the National Center of Environmental Prediction Climate Forecast System Reanalysis (NCEP-CFSR) at a 38 km spatial resolution. A combination of spatial and site-specific temporal data was used to validate the GPFS models. The oriental fruit fly, Bactrocera dorsalis (Hendel), was selected as a case study for this research because it is climatically driven and a major pest of fruit production. Results from the GPFS model were compared with field B. dorsalis survey data in three locations: 1) Bangalore, India; 2) Hawaii, USA; and 3) Wuhan, China. The GPFS captured the initial outbreaks and major population peaks of B. dorsalis reasonably well, although agreement varied between sites. An index of agreement test indicated that GPFS model simulations matched with field B. dorsalis observation data with a range between 0.50 and 0.94 (1.0 as a perfect match). Of the three locations, Wuhan showed}, journal={NEOBIOTA}, author={Hong, Seung Cheon and Magarey, Roger D. and Borchert, Daniel M. and Vargas, Roger I. and Souder, Steven K.}, year={2015}, pages={37–67} }
 @article{hong_obear_liesch_held_williamson_2015, title={Suitability of Creeping Bentgrass and Bermudagrass Cultivars for Black Cutworms and Fall Armyworms (Lepidoptera: Noctuidae)}, volume={108}, ISSN={["1938-291X"]}, DOI={10.1093/jee/tov167}, abstractNote={ABSTRACT The black cutworm, Agrotis ipsilon Hufnagel, and fall armyworm, Spodoptera frugiperda Smith (Lepidoptera: Noctuidae), are common turfgrass pests of golf courses in the southeastern United States. Heat-tolerant bentgrass (Agrostis stolonifera L.) cultivars are expanding the range of bentgrass further south, but these cultivars have not been studied for their potential host plant resistance to black cutworm or fall armyworm. The goals of the study were to investigate feeding response of black cutworm and fall armyworm to these newer heat-tolerant creeping bentgrass cultivars, as well as commonly used cultivars of bermudagrass [Cynodon dactylon (Loppers.)]. Choice and no-choice feeding assays and fecundity tests were conducted in the laboratory and greenhouse to evaluate performance and preference of the two insects. When given a choice, neither black cutworm nor fall armyworm showed a preference for the majority of new cultivars tested. There were no differences in leaf area consumption or insect development for either pest in no-choice feeding assays. Black cutworm females preferred laying eggs in bentgrass compared with bermudagrass, but will oviposit onto bermudagrass, suggesting that both turf species are suitable hosts of this pest. The broad host ranges of generalist caterpillar pests of turfgrass hinder the application of host plant resistance in integrated pest management on golf courses.}, number={4}, journal={JOURNAL OF ECONOMIC ENTOMOLOGY}, author={Hong, Seung Cheon and Obear, Glen R. and Liesch, Patrick J. and Held, David W. and Williamson, R. Chris}, year={2015}, month={Aug}, pages={1954–1960} }
 @article{hong_williamson_held_2012, title={Leaf biomechanical properties as mechanisms of resistance to black cutworm (Agrotis ipsilon) among Poa species}, volume={145}, ISSN={["0013-8703"]}, DOI={10.1111/eea.12005}, abstractNote={Abstract}, number={3}, journal={ENTOMOLOGIA EXPERIMENTALIS ET APPLICATA}, author={Hong, Seung Cheon and Williamson, R. Chris and Held, David W.}, year={2012}, month={Dec}, pages={201–208} }