Impact of intercept trap type on plume structure: a potential mechanism for differential performance of intercept trap designs for Monochamus species

Bouwer, Marc Clement; MacQuarrie, Chris J.K.; Aguirre-Gil, Oniel Jeremías; Slippers, Bernard; Allison, Jeremy D.

doi:10.1007/s10340-020-01204-y

Cited by 8 publications

(2 citation statements)

References 49 publications

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“…In our study, catches of M. titillator were greatest in modified multiple-funnel traps and SLAM traps (Table 2) whereas Dodds et al (2015) found no effect of trap type on catches of Monochamus carolinensis (Olivier). In Bouwer et al (2020), SLAM traps were inferior to panel and multiple-funnel traps for Monochamus scutellatus (Say); panel and SLAM traps were equally effective for Monochamus notatus (Drury) and Monochamus maculosus (¼ mutator) (Haldeman). In Dodds et al (2015), SLAM traps were better than panel and modified multiple-funnel traps for catching Graphisurus fasciatus (DeGeer), Neoclytus acuminatus (F.), and Neoclytus scutellaris (Olivier), whereas modified multiplefunnel traps were better than the other two for Knulliana cincta (Drury); panel and modified multiple-funnel traps were better than SLAM traps for Phymatodes aeneus (Newman).…”

Section: Discussionmentioning

confidence: 99%

Trap Type Affects Catches of Bark and Woodboring Beetles in a Southern Pine Stand

Miller

Crowe

2022

Journal of Entomological Science

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In 2012, we tested the relative efficacy of four commercial types of insect traps (panel; standard multiple-funnel; modified multiple-funnel; and sea, land, and air Malaise [SLAM]) for capturing bark and woodboring beetles (Coleoptera) in a pine stand in northcentral Georgia. All traps were baited with ethanol, α-pinene, ipsenol, and ipsdienol lures. The SLAM trap outperformed the panel trap for diversity and abundance of Cerambycidae. Mean catches of Asemum striatum (L.) in SLAM traps were greater than those in all other traps. SLAM traps caught more Acanthocinus obsoletus (LeConte) and Xylotrechus sagittatus (Germar) than standard multiple-funnel funnel and panel traps. The greatest numbers of Monochamus titillator (F.) were in SLAM and modified multiple-funnel traps. In contrast, SLAM traps were inferior to all other trap types in trapping bark beetles (Curculionidae: Scolytinae). More Dendroctonus terebrans (Olivier), Hylastes porculus Erichson, and Hylastes salebrosus Eichhoff were captured in panel traps than the other types of traps. Catches of Ips avulsus (Eichhoff), Ips calligraphus (Germar), Orthotomicus caelatus (Eichhoff), and Pityophthorus spp. were the same in panel, standard multiple-funnel, and modified multiple-funnel traps. Our data suggest that combinations of trap types should be considered in maximizing the effectiveness of detection programs for pine bark and woodboring beetles.

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Section: Discussionmentioning

confidence: 99%

Trap Type Affects Catches of Bark and Woodboring Beetles in a Southern Pine Stand

Miller

Crowe

2022

Journal of Entomological Science

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“…A suite of morphological traits could provide insights into how a species of beetle interacts with a baited flight‐intercept trap. For example, given that downwind odor plume structures vary according to intercept trap design (Bouwer et al, 2020), the distance at which an insect detects the plume might be influenced by its antennal size and configuration. The likelihood of successful oriented flight to the trap could be influenced by the insect's flight speed and maneuverability, as determined by the size and shape of its body, wings, and elytra (Fountain‐Jones et al, 2015; Jones et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

Can morphological traits explain species‐specific differences in meta‐analyses? A case study of forest beetles

Staton

Girling

Redak

et al. 2023

Ecological Applications

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Meta-analyses have become a valuable tool with which to synthesize effects across studies, but in ecology and evolution, they are often characterized by high heterogeneity, where effect sizes vary between studies. Much of this heterogeneity can be attributed to species-specific differences in responses to predictor variables. Here, we aimed to incorporate a novel trait-based approach to explain species-specific differences in a meta-analysis by testing the ability of morphological traits to explain why the effectiveness of flight-intercept trap design varies according to beetle species, a critical issue in forest pest management. An existing morphological trait database for forest beetles was supplemented, providing trait data for 97 species, while data from a previous meta-analysis on capture rates of bark or woodboring beetles according to different trap designs were updated. We combined these sources by including nine morphological traits as moderators in meta-analysis models, for five different components of trap design. Traits were selected based on theoretical hypotheses relating to beetle movement, maneuverability, and sensory perception. We compared the performance of morphological traits as moderators versus guild, taxonomic family, and null meta-analysis models. Morphological traits for the effect of trap type (panel vs. multiple-funnel) on beetle capture rates improved model fit (AIC c ), reduced within-study variance (σ 2 ), and explained more variation (McFadden's pseudo-R 2 ) compared with null, guild, and taxonomic family models. For example, morphological trait models explained 10% more of the variance (pseudo-R 2 ) when compared with a null model. However, using traits was less informative to explain how detailed elements of trap design such as surface treatment and color influence capture rates. The reduction of within-study variance when accounting for morphological traits demonstrates their potential value for explaining species-specific differences. Morphological traits associated with flight efficiency, maneuverability, and eye size were particularly informative for explaining the effectiveness of trap type. This could lead to improved predictability of optimal trap design according to species. Therefore, morphological

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