MétaCan
Menu
Back to cohort
Record W4283589968 · doi:10.18474/jes21-87

Sulcatol and Fuscumol Increase Catches of <i>Leptostylus asperatus</i> and <i>Styloleptus biustus</i> (Coleoptera: Cerambycidae) in Ethanol-Baited Traps

2022· article· en· W4283589968 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Entomological Science · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicForest Insect Ecology and Management
Canadian institutionsnot available
Fundersnot available
KeywordsLonghorn beetleBiologyZoologyToxicology

Abstract

fetched live from OpenAlex

Detection programs for nonnative bark and woodboring beetles at ports of entry are critical in mitigating the potential effects of invasive species (Poland and Rassati 2019, J. Pest Sci. 92: 37–49). Complex blends of lures in a single trap can be used for detecting multiple species of Cerambycidae (Coleoptera) at the same time, providing significant cost savings in terms of trap purchases and deployment (Fan et al. 2019, J. Pest Sci. 92: 281–297; Rassati et al. 2019, J. Pest Sci. 92: 267–279; Rice et al. 2021, J. Econ. Entomol. 113: 2269–2275). Complex lure blends also can be used to assess the biodiversity of woodboring beetles in forest stands, providing opportunities to assess the effects of climate change and invasive species (Dodds et al. 2015, Agric. For. Entomol. 17: 36–47; Wickham et al. 2021, Insects 12: 277). However, managers should be aware of any possible reduction in efficacy for detecting a target species when using blends, as some lures can interrupt the attraction of some species (Miller et al. 2119, J. Econ. Entomol. 110: 2119–2128).My goal was to determine the consequences of combining two different lures (sulcatol and fuscumol) for Cerambycidae on catches of cerambycids and associated beetle species in ethanol-baited traps in Georgia. In eastern North America, fuscumol is attractive to various species of cerambycids (Mitchell et al. 2011, Entomol. Exp. Appl. 141: 71–77; Millar et al. 2018, J. Econ. Entomol. 111: 252–259), whereas sulcatol is attractive to a different set of species (Meier et al. 2019, J. Chem. Ecol. 45: 447–454; Miller and Crowe 2020, Environ. Entomol. 49: 593–600). Additionally, sulcatol is attractive to several species of ambrosia beetles such as Monarthrum mali (Fitch) (Coleoptera: Curculionidae) in Georgia (Miller and Crowe 2020). Understanding the possible interactions between sulcatol and fuscumol on beetle trap catches should help managers make informed decisions about using these compounds as a stand-alone trap lure blend as well as with other lure blends in detection programs.A trapping study was conducted 17 June through 29 July 2021 to determine the effects of fuscumol and sulcatol on catches of forest beetles in ethanol-baited traps. Eight replicate blocks of four 10-unit black multiple-funnel traps (Synergy Semiochemicals Inc., Burnaby, British Columbia) per block were set in upland mixed-wood stands at the Scull Shoals Experimental Forest (Greene Co.) in northcentral Georgia (33.7731 °N, 83.2396 °W). The prominent tree species were Pinus taeda L., Pinus echinata Miller, Quercus alba L., Quercus falcata Michaux, Liquidambar styraciflua L., and Carya tomentosa Sargent. Traps were modified to allow lures to be hung within funnels (Miller et al. 2013, J. Econ. Entomol. 106: 206–214). Traps were hung on rope tied between trees and spaced approximately 10 m apart within blocks; blocks were spaced 100–200 m apart. Approximately 200 ml of an aqueous solution of propylene glycol (Splash RV & Marine Antifreeze, Fox Packaging Inc., St. Paul, MN) was placed in each collection cup (Miller and Duerr 2008, J. Econ. Entomol. 101: 107–113), changed after each 2-wk collection period. A piece (2.5 × 5.0 cm) of VaporTape II (Hercon Environmental Corp., Emigsville, PA) was attached under the canopy of each trap to prevent nest building by paper wasps.Black, ethanol ultra-high release pouches were obtained from Scotts Canada Inc. (Delta, British Columbia), whereas bubble cap lures of racemic sulcatol and racemic fuscumol were obtained from Synergy Semiochemicals. Release rates for the three devices were 0.5 g/d, 5 mg/d, and 5 mg/d at 24 °C (determined by manufacturers), respectively. In a randomized complete-block design, one of the following four treatments was allocated to each of the four traps within each block: (a) ethanol lure alone, (b) ethanol lure + fuscumol lure, (c) ethanol lure + sulcatol lure, and (d) ethanol lure + fuscumol lure + sulcatol lure. Ethanol is a general attractant for woodboring beetles (Miller 2006, J. Chem. Ecol. 32: 779–794), often increasing the attraction of beetles to traps baited with cerambycid pheromones (Miller et al. 2015, J. Econ. Entomol. 108: 2354–2365). Voucher specimens were deposited in the University of Georgia Collection of Arthropods, Athens, GA.The SYSTAT (ver. 13) and SigmaStat (ver. 3.01) statistical packages (SYSTAT Software Inc., Point Richmond, CA) were used to analyze trap catch data for species with total counts of ≥30. As needed, data were transformed by ln (Y + 1) to attain normality and homoscedasticity, verified by the Shapiro-Wilk and Equal Variance tests, respectively. Data were analyzed by a mixed-model analysis of variance (ANOVA) with treatment as the fixed factor, followed by the Holm-Sidak multiple-comparison test for species affected by the treatments (α = 0.05). For species affected by treatments, data were further analyzed by a mixed-model ANOVA using the following model factors: (a) fuscumol (F), (b) sulcatol (S), and (c) fuscumol × sulcatol.Three species of Cerambycidae were detected in sufficient numbers for analyses. As in Miller and Crowe (2020), catches of Leptostylus asperatus (Haldeman) (Coleoptera: Cerambycidae) were affected by sulcatol (Table 1); the highest catches were in traps baited with either sulcatol or sulcatol + fuscumol (Table 2). There was no interruptive effect of fuscumol on the responses of L. asperatus to sulcatol (Table 1). Catches of Styloleptus biustus (LeConte) (Coleoptera: Cerambycidae) were affected by the treatments containing fuscumol (F= 11.804; df = 2,14; P < 0.001), consistent with results in Millar et al. (2018). The highest catches of S. biustus were in traps baited with fuscumol or fuscumol + sulcatol; there was no interruptive effect of sulcatol (Table 2). Unlike Millar et al. (2018), we found no evidence of attraction of S. biustus to traps baited solely with ethanol (Table 2). There was an interruptive effect of fuscumol on catches of Neoclytus acuminatus (F.) (Coleoptera: Cerambycidae) in traps baited with sulcatol (Table 2).As in Miller and Crowe (2020), catches of the bark and woodborer predator Madoniella dislocata (Say) (Coleoptera: Cleridae) were affected by sulcatol; fuscumol had no effect on catches of M. dislocata (Table 1). The Holm-Sidak multiple comparison test was unable to separate mean catches of M. dislocata by treatment (Table 2). Fuscumol affected catches of two common species of nonnative ambrosia beetles, namely, Xyleborinus saxesenii (Ratzeburg) and Xylosandrus crassiusculus (Motschulsky) (Coleoptera: Curculionidae), with a significant interaction between fuscumol and sulcatol for Xyle. saxesenii but not for Xylo. crassiusculus (Table 1). Catches of Xyle. saxesenii were greater in traps baited with fuscumol + sulcatol than in traps with the remaining three treatments; catches of Xylo. crassiusculus were greater in traps baited with fuscumol + sulcatol than in those baited solely with ethanol (Table 2). Catches of Monarthrum mali (Fitch) (Coleoptera: Curculionidae) were affected by the treatments containing sulcatol (F = 6.550; df = 2,14; P = 0.010), with the highest catches in traps baited with sulcatol or sulcatol + fuscumol (Table 2), consistent with results with sulcatol in Miller and Crowe (2020). There was no interruptive effect of fuscumol on catches of M. mali (Table 2).Combining fuscumol and sulcatol lures in the same ethanol-baited trap did not have any adverse effect on catches of two target species of Cerambycidae. The increase in catches of three species of ambrosia beetles was a serendipitous benefit of adding the lure combination to ethanol-baited traps. The next step is to determine the benefit of adding this combination to existing complex blends for cerambycids such as ethanol + syn-2,3-hexanediol + 3-hydroxyhexan-2-one + 3-hydroxyoctan-2-one (Hanks and Millar 2013, Chemoecology 23: 21–44).The use of trade names and identification of firms or corporations does not constitute an official endorsement or approval by the United States government of any product or service to the exclusion of others that may be suitable. The USDA is an equal opportunity provider, employer, and lender.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.146
Threshold uncertainty score0.703

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.219
Teacher spread0.212 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it