@article{goethe_dorman_wang_kennedy_huseth_2022, title={Spatial and temporal patterns of
            <i>Frankliniella fusca
            (Thysanoptera: Thripidae) in wheat agroecosystems}, volume={146}, ISSN={0931-2048 1439-0418}, url={http://dx.doi.org/10.1111/jen.12979}, DOI={10.1111/jen.12979}, abstractNote={Frankliniella fusca Hinds (Thysanoptera: Thripidae) is an economically important pest of many cultivated crops including cotton, tomatoes, peppers and tobacco. Previous research has focused on the importance of non‐crop weeds for F. fusca populations when estimating crop infestation risk in the spring. Although weeds play an integral role in population development, early‐season cultivated hosts (e.g. wheat and sage) may also contribute and augment overall populations. Few studies have examined the role of early‐season crops as a source habitat for sensitive host crops later in the season. The goal of this study was to investigate the abiotic conditions and landscape components that are associated with F. fusca populations in winter wheat (Triticum aestivum L.). Exploring these relationships will provide insight into early‐season drivers of F. fusca. To do this, we conducted a 2 year study documenting F. fusca populations during an 8 weeks period each spring. We sampled immature thrips abundance on wheat heads while concurrently monitoring adult dispersal from the field using yellow sticky cards. Across both years, we found that immature thrips sampled during the milk and dough development stages best‐predicted adult dispersal 2 weeks later. Cumulative precipitation and the number of precipitation events beginning in the autumn of the prior year were the most important abiotic predictors of F. fusca abundance. At the landscape scale, adult F. fusca density was negatively related to the area of row crop agriculture, grasslands and amount of landscape fragmentation. Results of our study provide a basis to assess larval thrips and forecast dispersal of this pest from wheat using a head sampling method. At a landscape scale, we show that specific combinations of abiotic and landscape variables influence population abundance of F. fusca in North Carolina row crop agroecosystems.}, number={5}, journal={Journal of Applied Entomology}, publisher={Wiley}, author={Goethe, James and Dorman, Seth and Wang, Hehe and Kennedy, George and Huseth, Anders}, year={2022}, month={Feb}, pages={570–578} }
 @article{goethe_dorman_huseth_2021, title={Local and landscape scale drivers of
            <i>Euschistus servus
            and
            <i>Lygus lineolaris
            in North Carolina small grain agroecosystems}, volume={23}, ISSN={1461-9555 1461-9563}, url={http://dx.doi.org/10.1111/afe.12445}, DOI={10.1111/afe.12445}, abstractNote={Crop production sequences influence arthropod populations in temporally unstable row crop systems. Winter wheat (Triticum aestivum L.) represents one of the earliest abundant crops in south‐eastern United States. This study aims to understand primary source habitats driving brown stink bug, Euschistus servus (Say), and tarnished plant bug, Lygus lineolaris (Palisot de Beauvois), population abundance in wheat. To better understand these relationships, adult and nymphal densities were in wheat fields weekly from flowering through harvest in 2019 and 2020. Geospatial data were used to measure landscape composition surrounding sampled fields. We investigated the influence of landscape predictors on E. servus and L. lineolaris abundance using generalized linear mixed modelling. Field size, proportion of agriculture, proportion of wheat area, and proportion of soybean Glycine max L.) area from the previous year in the surrounding landscape were associated with E. servus abundance in wheat. Similarly, L. lineolaris abundance was associated with proportion of wheat area and soybean area from the previous year. These results reveal the influence of soybean area planted the previous year on insect pest densities the following spring in wheat. Further, results suggest agricultural landscapes dominated by wheat are associated with decreased pest abundance across the sampled region.}, number={4}, journal={Agricultural and Forest Entomology}, publisher={Wiley}, author={Goethe, James K. and Dorman, Seth J. and Huseth, Anders S.}, year={2021}, month={Apr}, pages={441–451} }