@article{caton_fang_pallipparambil_manoukis_2023, title={Transect-based trapping for area-wide delimitation of insects}, volume={4}, ISSN={["1938-291X"]}, DOI={10.1093/jee/toad059}, abstractNote={Typical delimitation trapping survey designs for area-wide (nonlocalized) insect populations are regularly spaced grids, and alternative shapes have not been evaluated. We hypothesized that transect-based designs could give similar detection rates with significantly shorter servicing distances. We used the TrapGrid model to investigate novel "trap-sect" designs incorporating crossed, spoked, and parallel lines of traps, comparing them to a regular grid, in single survey and multiple-site scenarios. We calculated minimum servicing distances and simulated mean probabilities of detecting a pest population, judging overall performance of trap network designs using both metrics. For single sites, trap-sect designs reduced service distances by 65-89%, and most had similar detection probabilities as the regular grid. Kernel-smoothed intensity plots indicated that the best performing trap-sect designs distributed traps more fully across the area. With multiple sites (3 side by side), results depended on insect dispersal ability. All designs performed similarly in terms of detection for highly mobile insects, suggesting that designs minimizing service distances would be best for such pests. For less mobile pests the best trap-sect designs had 4-6 parallel lines, or 8 spokes, which reduced servicing distances by 33-50%. Comparisons of hypothetical trap-sect arrays to real program trap locations for 2 pests demonstrated that the novel designs reduced both trap numbers and service distances, with little differences in mean nearest trap distance to random pest locations. Trap-sect designs in delimitation surveys could reduce costs and increase program flexibility without harming the ability to detect populations.}, journal={JOURNAL OF ECONOMIC ENTOMOLOGY}, author={Caton, Barney P. and Fang, Hui and Pallipparambil, Godshen R. and Manoukis, Nicholas C.}, year={2023}, month={Apr} }
 @article{caton_fang_manoukis_pallipparambil_2021, title={Quantifying insect dispersal distances from trapping detections data to predict delimiting survey radii}, volume={10}, ISSN={["1439-0418"]}, url={https://publons.com/wos-op/publon/47440398/}, DOI={10.1111/jen.12940}, abstractNote={The spread potential of invasive pests is a major concern for delimitation, quarantine and eradication efforts. We analysed trapping survey detections data for five insects and one low-dispersing mollusc to quantify 30-day dispersal kernels (mean total distance [MTD], m). We hypothesized that MTD would increase with species’ reported diffusion coefficients (D, m2 per day), and that D could be used to predict containment radius lengths for delimiting surveys for exotic pests. We collected trapping data for the following six invasive pest species: European grapevine moth (EGVM; Lobesia botrana [Denis & Schiffermüller]), Giant African land snail (GALS; Lissachatina fulica [Bowdich]), Japanese beetle (JB; Popillia japonica [Newman]), Mediterranean fruit fly (Medfly; Ceratitis capitata [Wiedemann]), Mexican fruit fly (Mexfly; Anastrepha ludens [Loew]) and Oriental fruit fly (OFF; Bactrocera dorsalis [Hendel]). We used K-means clustering to group detections that were proximate in space and time, then finalized them manually. We calculated MTD from the cluster centroid for each detection. Probability histograms for MTD were fit to a two-parameter exponential function, and from those functions we estimated species’ dispersal limits for four percentiles (99th to 99.99th). The least vagile species, GALS and EGVM, had the greatest decay rates, and smallest MTD and percentile distances. OFF, with the greatest reported D, had the smallest decay rates and greatest MTD and percentile distances. Medfly, Mexfly and JB had intermediate MTD and percentile distances. Each regression of percentile distance as a logarithmic function of D fit the data well. The best regression used adjusted 99.9th percentile distances. These empirical results indicated that many delimiting surveys currently in use are oversized; adopting the new recommendations could yield significant cost savings. These results could be a general solution for estimating delimiting survey radii (for durations of ca. 30 days) across a wide range of insect dispersal abilities.}, number={1-2}, journal={JOURNAL OF APPLIED ENTOMOLOGY}, publisher={Wiley}, author={Caton, Barney P. and Fang, Hui and Manoukis, Nicholas C. and Pallipparambil, Godshen R.}, year={2021}, month={Oct} }
 @article{caton_fang_manoukis_pallipparambil_2021, title={Simulation-Based Investigation of the Performance of Delimiting Trapping Surveys for Insect Pests}, volume={114}, ISSN={["1938-291X"]}, url={https://publons.com/wos-op/publon/41676571/}, DOI={10.1093/jee/toab184}, abstractNote={Fully trapped survey designs are widely used to delimit adventive pests populations that can be detected using traps and lures. Delimitation includes verifying the presence of the pest and determining its spatial extent. The size and shape of the survey design and the density of traps can vary; however, resulting variation in detecting efficiency is often unknown. We used a trapping network simulation model with diffusion-based insect movement to investigate delimiting survey trapping design performance for fully trapped and some modified designs. Simulations included randomized outbreak locations in a core area and a duration of 30 d. We assessed impacts of insect dispersal ability, grid size and shape, and trap attractiveness and density on survey performance, measured as mean probability of capturing individual pests [p(capture)]. Most published grids are square, but circles performed equally well and are more efficient. Over different grid sizes, p(capture) increased for insects with greater dispersal ability but was generally unresponsive to size because most captures occurred in central areas. For low dispersing insects, the likelihood of egress was approximately zero with a 3.2-km square grid, whereas an 11.3-km grid was needed to contain highly vagile insects. Trap attractiveness affected p(capture) more strongly than density: lower densities of poorly attractive traps may underperform expectations. Variable density designs demonstrated potential for cost savings but highlighted that resource-intensive outer bands are critical to boundary determination. Results suggesting that many grids are oversized need empirical verification, whereas other principles, such as using circular shapes, are readily adoptable now.}, number={6}, journal={JOURNAL OF ECONOMIC ENTOMOLOGY}, author={Caton, Barney P. and Fang, Hui and Manoukis, Nicholas C. and Pallipparambil, Godshen R.}, year={2021}, month={Dec}, pages={2581–2590} }
 @article{magarey_klammer_chappell_trexler_pallipparambil_hain_2019, title={Eco-efficiency as a strategy for optimizing the sustainability of pest management}, volume={75}, ISSN={["1526-4998"]}, url={https://doi.org/10.1002/ps.5560}, DOI={10.1002/ps.5560}, abstractNote={Abstract Agricultural industrialization and the subsequent reliance on pesticides has resulted in numerous unintended consequences, such as impacts upon the environment and by extension human health. Eco‐efficiency is a strategy for sustainably increasing production, while simultaneously decreasing these externalities on ecological systems. Eco‐efficiency is defined as the ratio of production to environmental impacts. It has been widely adopted to improve chemical production, but we investigate the challenges of applying eco‐efficiency to pesticide use. Eco‐efficiency strategies include technological innovation, investment in research and development, improvement of business processes, and accounting for market forces. These components are often part of integrated pest management (IPM) systems that include alternatives to pesticides, but its implementation is often thwarted by commercial realities and technical challenges. We propose the creation and adoption of an eco‐efficiency index for pesticide use so that the broad benefits of eco‐efficient strategies such as IPM can be more readily quantified. We propose an index based upon the ratio of crop yield to a risk quotient (RQ) calculated from pesticide toxicity. Eco‐efficiency is an operational basis for optimizing pest management for sustainability. It naturally favors adoption of IPM and should be considered by regulators, researchers, and practitioners involved in pest management. © 2019 Society of Chemical Industry}, number={12}, journal={PEST MANAGEMENT SCIENCE}, publisher={Wiley}, author={Magarey, Roger D. and Klammer, Sarah S. H. and Chappell, Thomas M. and Trexler, Christina M. and Pallipparambil, Godshen R. and Hain, Ernie F.}, year={2019}, month={Dec}, pages={3129–3134} }
 @article{chappell_magarey_kurtz_trexler_pallipparambil_hain_2019, title={Perspective: service-based business models to incentivize the efficient use of pesticides in crop protection}, volume={75}, ISSN={["1526-4998"]}, url={https://doi.org/10.1002/ps.5523}, DOI={10.1002/ps.5523}, abstractNote={Several problems limit the productivity and acceptance of crop protection, including pesticide overuse, pesticide resistance, poor adoption of integrated pest management (IPM), declining funding for research and extension, and inefficiencies of scale. We discuss the proposition that alternative business models for crop protection can address these problems by incentivizing and benefiting from efficiency of pesticide use. Currently, business models are not linked to the adoption of IPM and are sometimes at odds with IPM practices. We explore a business model based on the provision of pest management adequacy through services rather than the sale of pesticide products. Specifically, we advocate for establishment of crop protection adequacy standards that would allow a market system to maximize efficiency. Changing some of the relationships between agricultural companies and producers from one based on products to one based on services is an idea worthy of debate and evaluation for improving the efficiency of pest management. Contemporary information technology enhancing monitoring and coordination warrants attention in this debate. © 2019 Society of Chemical Industry}, number={11}, journal={PEST MANAGEMENT SCIENCE}, publisher={Wiley}, author={Chappell, Thomas M. and Magarey, Roger D. and Kurtz, Ryan W. and Trexler, Christina M. and Pallipparambil, Godshen R. and Hain, Ernie F.}, year={2019}, month={Nov}, pages={2865–2872} }
 @article{magarey_chappell_trexler_pallipparambil_hain_2019, title={Social Ecological System Tools for Improving Crop Pest Management}, volume={10}, ISSN={["2155-7470"]}, DOI={10.1093/jipm/pmz004}, abstractNote={Abstract Integrated pest management (IPM) is a valuable tool for reducing pesticide use and for pesticide resistance management. Despite the success of IPM over the last 50 yr, significant challenges remain to improving IPM delivery and adoption. We believe that insights can be obtained from the field of Social Ecological Systems (SES). We first describe the complexity of crop pest management and how various social actors influence grower decision making, including adoption of IPM. Second, we discuss how crop pest management fits the definition of an SES, including such factors as scale, dynamic complexities, critical resources, and important social–ecological interactions. Third, we describe heuristics and simulation models as tools to understand complex SES and develop new strategies. Finally, we conclude with a brief discussion of how social processes and SES techniques could improve crop pest management in the future, including the delivery of IPM, while reducing negative social and environmental impacts.}, number={1}, journal={JOURNAL OF INTEGRATED PEST MANAGEMENT}, publisher={Oxford University Press (OUP)}, author={Magarey, Roger D. and Chappell, Thomas M. and Trexler, Christina M. and Pallipparambil, Godshen R. and Hain, Ernie F.}, year={2019}, month={Feb} }
 @article{gordon_flory_lieurance_hulme_buddenhagen_caton_champion_culley_daehler_essl_et al._2016, title={Weed Risk Assessments Are an Effective Component of Invasion Risk Management}, volume={9}, ISSN={["1939-747X"]}, DOI={10.1614/ipsm-d-15-00053.1}, abstractNote={An abstract is not available for this content so a preview has been provided. Please use the Get access link above for information on how to access this content.}, number={1}, journal={INVASIVE PLANT SCIENCE AND MANAGEMENT}, author={Gordon, Doria R. and Flory, S. Luke and Lieurance, Deah and Hulme, Philip E. and Buddenhagen, Chris and Caton, Barney and Champion, Paul D. and Culley, Theresa M. and Daehler, Curt and Essl, Franz and et al.}, year={2016}, pages={81–83} }