| Title: | Simulation to investigate site-based monitoring of pest insect species for trade |
| Author(s): | van Klinken RD; Gladish DW; Manoukis NC; Caley P; Hill MP; |
| Address: | "CSIRO Health and Biosecurity, GPO Box 2583, Brisbane, QLD 4001, Australia. CSIRO Data61, GPO Box 2583, Brisbane, QLD 4001, Australia. Tropical Crop and Commodity Protection Research Unit, Daniel K. Inouye U.S. Pacific Basin Agricultural Research Centre, Hilo, HI, USA. CSIRO Data61, GPO Box 1700 Canberra, ACT 2601, Australia. CSIRO Health and Biosecurity, GPO Box 1700, Black Mountain, ACT 2601, Australia" |
| ISSN/ISBN: | 1938-291X (Electronic) 0022-0493 (Print) 0022-0493 (Linking) |
| Abstract: | "Pest insect surveillance using lures is widely used to support market access requirements for traded articles that are hosts or carriers of quarantine pests. Modeling has been used extensively to guide the design of surveillance to support pest free area claims but is less commonly applied to provide confidence in pest freedom or low pest prevalence within sites registered for trade. Site-based surveillance typically needs to detect pests that are already present in the site or that may be entering the site from surrounding areas. We assessed the ability of site-based surveillance strategies to detect pests originating from within or outside the registered site using a probabilistic trapping network simulation model with random-walk insect movement and biologically realistic parameters. For a given release size, time-dependent detection probability was primarily determined by trap density and lure attractiveness, whereas mean step size (daily dispersal) had limited effect. Results were robust to site shape and size. For pests already within the site, detection was most sensitive using regularly spaced traps. Perimeter traps performed best for detecting pests moving into the site, although the importance of trap arrangement decreased with time from release, and random trap placement performed relatively well compared to regularly spaced traps. High detection probabilities were achievable within 7 days using realistic values for lure attractiveness and trap density. These findings, together with the modeling approach, can guide the development of internationally agreed principles for designing site-based surveillance of lure-attractant pests that is calibrated against the risk of non-detection" |
| Keywords: | "Animals *Insect Control/methods *Moths Models, Statistical Pheromones market access quarantine pest survey and detection trapping;" |
| Notes: | "Medlinevan Klinken, Rieks D Gladish, Daniel W Manoukis, Nicholas C Caley, Peter Hill, Matthew P eng Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S. England 2023/06/14 J Econ Entomol. 2023 Aug 10; 116(4):1296-1306. doi: 10.1093/jee/toad112" |
