2021
DOI: 10.1002/2688-8319.12044
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Probability of occurrence and phenology of pine wilt disease transmission by insect vectors in the Rocky Mountains

Abstract: 1. Pine wilt disease, caused by pinewood nematode (Bursaphelenchus xylophilus; abbreviated 'PWN'), is a damaging and globally distributed insect-vectored forest pathogen. Native forest tree mortality associated with PWN is newly reported from the Front Range of Colorado, but there is no regional information on PWN frequency or biology of local insect vectors, limiting management options. 2. A sampling array was established to survey PWN in native pines (Pinus ponderosa) and longhorn beetles (Monochamus clamato… Show more

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Cited by 8 publications
(2 citation statements)
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“…Measures of aphid phenology were derived from the cumulative proportion of aphids captured over the course of a growing season, for which one curve was modeled for each site × year combination for A. glycines , R. maidis , and R. padi separately. Phenology variables used in our analyses that captured aspects of early, peak, and late activity, included: (1) ordinal date of first flight; (2–4) ordinal dates at which 10%, 50%, and 90% of flights accumulated; (5) ordinal date of last flight; (6) flight duration, defined as the difference between dates of last and first flights; or (7), as the difference between dates of 90% and 10% flights; and (8) flight synchrony, defined as the slope of a two‐parameter logistic regression model fitted to the cumulative proportion aphid flight curve over time at its inflection point (date at which 50% of flights accumulated), where the slope approaches 1 as synchrony increases (Atkins et al, 2021). Slopes representing flight synchrony were computed in JMP PRO v.15 (SAS Institute, Cary, NC, USA).…”
Section: Methodsmentioning
confidence: 99%
“…Measures of aphid phenology were derived from the cumulative proportion of aphids captured over the course of a growing season, for which one curve was modeled for each site × year combination for A. glycines , R. maidis , and R. padi separately. Phenology variables used in our analyses that captured aspects of early, peak, and late activity, included: (1) ordinal date of first flight; (2–4) ordinal dates at which 10%, 50%, and 90% of flights accumulated; (5) ordinal date of last flight; (6) flight duration, defined as the difference between dates of last and first flights; or (7), as the difference between dates of 90% and 10% flights; and (8) flight synchrony, defined as the slope of a two‐parameter logistic regression model fitted to the cumulative proportion aphid flight curve over time at its inflection point (date at which 50% of flights accumulated), where the slope approaches 1 as synchrony increases (Atkins et al, 2021). Slopes representing flight synchrony were computed in JMP PRO v.15 (SAS Institute, Cary, NC, USA).…”
Section: Methodsmentioning
confidence: 99%
“…A survey was made to determine the occurrence of PWN and its beetle vectors (Monochamus spp.) on the native Pinus ponderosa in Colorado, USA, over two years and in forests (32 sites) and urban settings (12 settings) (Atkins et al, 2021). There was much variation in the incidence of PWN with many host trees not displaying symptoms; overall, the incidence of the nematode in sampled pines and beetles was about 4%.…”
Section: Discussionmentioning
confidence: 99%