Period of adult activity and response to wood moisture content as major segregating factors in the coexistence of two conifer longhorn beetles, Callidiellum rufipenne and Semanotus bifasciatus (Coleoptera: Cerambycidae)

Iwata, Ryûtarô; Maro, Takahisa; Yonezawa, Yasushi; Yahagi, Tôru; Fujikawa, Yoshirô

doi:10.14411/eje.2007.049

Cited by 18 publications

(12 citation statements)

References 11 publications

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“…ater flight activity was moderately sensitive to maximum hourly temperature ( Table 4 ). Short-term activity studies of individual caged cerambycids have demonstrated a range of temporal patterns including diurnal activity, e.g., Callidiellum rufipenne (Motchulsky) [ 49 ] and Gaurotes virginea (L.) [ 50 ], nocturnal activity, e.g., A . ferus [ 16 ], and cathemeral activity, e.g., Semanotus bifasciatus (Motschulsky) [ 49 ] and Nadezhdiella cantori (Hope) [ 51 ]; however more precise prediction of flight as a function of meteorological factors is currently lacking.…”

Section: Discussionmentioning

confidence: 99%

Predicting forest insect flight activity: A Bayesian network approach

2017

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Daily flight activity patterns of forest insects are influenced by temporal and meteorological conditions. Temperature and time of day are frequently cited as key drivers of activity; however, complex interactions between multiple contributing factors have also been proposed. Here, we report individual Bayesian network models to assess the probability of flight activity of three exotic insects, Hylurgus ligniperda, Hylastes ater, and Arhopalus ferus in a managed plantation forest context. Models were built from 7,144 individual hours of insect sampling, temperature, wind speed, relative humidity, photon flux density, and temporal data. Discretized meteorological and temporal variables were used to build naïve Bayes tree augmented networks. Calibration results suggested that the H. ater and A. ferus Bayesian network models had the best fit for low Type I and overall errors, and H. ligniperda had the best fit for low Type II errors. Maximum hourly temperature and time since sunrise had the largest influence on H. ligniperda flight activity predictions, whereas time of day and year had the greatest influence on H. ater and A. ferus activity. Type II model errors for the prediction of no flight activity is improved by increasing the model’s predictive threshold. Improvements in model performance can be made by further sampling, increasing the sensitivity of the flight intercept traps, and replicating sampling in other regions. Predicting insect flight informs an assessment of the potential phytosanitary risks of wood exports. Quantifying this risk allows mitigation treatments to be targeted to prevent the spread of invasive species via international trade pathways.

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Section: Discussionmentioning

confidence: 99%

Predicting forest insect flight activity: A Bayesian network approach

2017

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“…It follows that a major challenge for research in sustainable forest management is how to conserve suitable brood material for protected and rare species without risking increased population levels in potentially pest species (Evans et al 2004). Thus, acquiring a deeper knowledge of those longhorns in oak forests is an important task, not only to improve and update biogeographical and faunistic censuses under the global warming scenario, but also to understand major aspects driving population ecology and ecological succession in oak forests, such as habitat occupancy, host tree selection, wood status preference, microhabitat requirements, larval assemblages, intraguild competition and resource partitioning (Ranius and Jansson 2000;Grove 2002;Hanks et al 2005;Buse et al 2007;Iwata et al 2007;Vodka et al 2009;Albert et al 2012).…”

Section: Introductionmentioning

confidence: 99%

Larval assemblages of large saproxylic cerambycids in Iberian oak forests: wood quality and host preference shape resource partitioning

et al. 2017

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size, altitude and sun exposure. Wood quality and host preference were major factors segregating interspeciic resource partitioning. Cw was prevalent on cork oak decayed wood, and Pm on holm oak degraded wood. Host tree part was involved in Cerambyx larval niche segregation, with Cw prevalent in the fork/branches and Cc in the trunk/base. Pm was never found inhabiting deciduous oaks. Our results may be useful to improve sustainable forest management practices in Iberian oak open woodlands.Abstract Oak open woodlands are widespread in southwestern Iberia and present outstanding ecological, biodiversity and socio-economic values. Evergreen species (holm and cork oaks) are prevalent but deciduous oaks may be also locally important. Three large xylophagous cerambycids are associated to these oaks, Cerambyx welensii (Cw), C. cerdo (Cc) and Prinobius myardi (Pm). Like other saproxylic insects, these cerambycids are essential to the nutrient cycle, wood degradation and tree hollow formation, signiicantly contributing to biodiversity in oak forests. These cerambycids may also potentially colonise healthy living trees and become harmful or pest species. Factors driving their larval ecology are almost unknown, especially in oak forests harbouring mixed populations living in sympatry. Wood samples (n = 500 bolts) from 348 colonised trees were examined during 2011-2016 across the Extremadura region (41,634 km 2 ). Bolts were measured, scored into ive wood quality classes, dissected, and all target cerambycids were collected, measured, reared and taxonomically identiied. We then determined species-speciic prevalence, niche breadth, niche overlap, age structure and population density depending on wood quality, host preference, tree part, wood Electronic supplementary material The online version of this article (

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“…It is widely distributed in the Inner Mongolia, Beijing, Liaoning, Ningxia, Hebei, Shanxi and Jiangsu provinces, China. It is also reported in North Korea and Japan (Iwata et al, 2007).…”

Section: Introductionmentioning

confidence: 64%

Effective accumulated temperature and developmental threshold temperature for Semanotus bifasciatus (Motschulsky) in Beijing

Gao

Wen

et al. 2008

For. Stud. China

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In order to understand the occurrence and development of Semanotus bifasciatus (Motschulsky), a borer insect of Platycladus orientalis in parts of northern and eastern China and to improve its prediction, the developmental threshold temperature (C t ) and effective accumulated temperature (K) of S. bifasciatus were determined under conditions of constant and variable temperatures. The results show that under constant temperatures the value of C t has a range of 8.90±1.77°C and the value of K lies between 95.19±13.14 degree-day for eggs; the values for larvae are C t = 13.26±3.06°C and the number of degree-day is K = 2,885.07±187.87 degree-day; for pupae the ranges are C t = 8.93±2.49°C and K = 131.20±25.63 degree-day. Under the condition of ambient temperatures, the values for eggs are C t = 17.33±1.24°C and K = 70.79±8.99 degree-day. It is suggested that S. bifasciatus adults over-winter in a state of dormancy, not at a diapause. Warm winter may accelerate the life cycle of S. bifasciatus. Equations can be used to predict an early occurrence of S. bifasciatus.

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Period of adult activity and response to wood moisture content as major segregating factors in the coexistence of two conifer longhorn beetles, Callidiellum rufipenne and Semanotus bifasciatus (Coleoptera: Cerambycidae)

Cited by 18 publications

References 11 publications

Predicting forest insect flight activity: A Bayesian network approach

Predicting forest insect flight activity: A Bayesian network approach

Larval assemblages of large saproxylic cerambycids in Iberian oak forests: wood quality and host preference shape resource partitioning

Effective accumulated temperature and developmental threshold temperature for Semanotus bifasciatus (Motschulsky) in Beijing

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