Ophiostomatoid Fungi Associated with the Four-Eyed Fir Bark Beetle on the Territory of Russia

Pashenova, N. V.; Kononov, Alexander; Ustyantsev, Kirill; Блинов, А. Г.; Pertsovaya, A. A.; Baranchikov, Yuri N.

doi:10.1134/s2075111718010137

Cited by 14 publications

(8 citation statements)

References 17 publications

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“…The geographic origin of P. proximus propagation comes from its natural habitat in Japan, the Korean Peninsula, 2 of 19 Eastern China and the Russian Far East (Khabarovsk and Primorskii krai, Sakhalin and Kuril Islands) (Kuznetsov et al [3]. In Siberia, the first beetle occurrence was registered in 2008 (Kerchev [4]) and within the last 10 years, massive outbreaks of P. proximus occurred on large forested areas in the south-eastern part of the West Siberian Plain: Tomsk, Kemerovo and Novosibirsk oblasts, Altai region, in the Altai Republic as well as in Krasnoyarsk region (Pashenova et al and Baranchikov et al [5,6]), where the problem became catastrophic and got out of control. The invasion of this type of beetle can lead not only to degradation of fir forests but also to create a threat to fir existence as a forest type species, with the subsequent broad implications for the regional and global climate (Helbig et al, Ma [7,8]).…”

Section: Introductionmentioning

confidence: 99%

Detection of Fir Trees (Abies sibirica) Damaged by the Bark Beetle in Unmanned Aerial Vehicle Images with Deep Learning

et al. 2019

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Invasion of the Polygraphus proximus Blandford bark beetle causes catastrophic damage to forests with firs (Abies sibirica Ledeb) in Russia, especially in Central Siberia. Determining tree damage stage based on the shape, texture and colour of tree crown in unmanned aerial vehicle (UAV) images could help to assess forest health in a faster and cheaper way. However, this task is challenging since (i) fir trees at different damage stages coexist and overlap in the canopy, (ii) the distribution of fir trees in nature is irregular and hence distinguishing between different crowns is hard, even for the human eye. Motivated by the latest advances in computer vision and machine learning, this work proposes a two-stage solution: In a first stage, we built a detection strategy that finds the regions of the input UAV image that are more likely to contain a crown, in the second stage, we developed a new convolutional neural network (CNN) architecture that predicts the fir tree damage stage in each candidate region. Our experiments show that the proposed approach shows satisfactory results on UAV Red, Green, Blue (RGB) images of forest areas in the state nature reserve “Stolby” (Krasnoyarsk, Russia).

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Section: Introductionmentioning

confidence: 99%

Detection of Fir Trees (Abies sibirica) Damaged by the Bark Beetle in Unmanned Aerial Vehicle Images with Deep Learning

et al. 2019

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“…In both cases, trees are repeatedly subjected to infection as pathogens enter into plant tissues, often leading to a critical decline of tree vitality. At the final stage of an invasion, symbiotic interactions between insects and pathogens cause severe damage in forest stands, for instance, in Polygraphus proximus-Grossmannia aoshimae-Abies sibirica [ 83 ] and Xyleborus glabratus-Raffalea lauricola-Persea borbonia [ 193 , 194 ] systems.…”

Section: Discussionmentioning

confidence: 99%

“…Finally, the pathogenicity of some associates remains controversial (see an example of O. minus in [ 60 ]), which additionally complicates pest risk assessment. There is also a problem predicting the consequences of forming new associations between insects and pathogens in the invaded site [ 83 , 177 ].…”

Section: Discussionmentioning

confidence: 99%

Biological Strategies of Invasive Bark Beetles and Borers Species

Demidko

Mikhaylov

et al. 2021

Insects

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The present study attempts to identify the biological characteristics of invasive (high-impact in the secondary area) bark beetles and borers species, contributing to their success in an invaded area. We selected 42 species based on the CABI website data on invasive species and information on the most studied regional faunas. Four groups of species with different invasion strategies were identified based on the cluster and factor analysis. The first one (inbred strategy) is characterized by flightless males, xylomycetophagy, low fecundity (~50 eggs), inbreeding, polyvoltinism, and polyphagy. Species with an aggressive strategy are poly- or monovoltine, feeds on a limited number of hosts, larval feeding on the inner bark, are often associated with phytopathogens, and produce aggregation pheromones. Representatives of the polyphagous strategy have a wide range of hosts, high fecundity (~150 eggs), larval feeding on wood, and their life cycle is at least a year long. For the intermediate strategy, the typical life cycle is from a year or less, medium fecundity, feed on inner bark tissues, mono- or oligophagy. Comparison with low-impact alien species showed that the most significant traits from the viewpoint of the potential danger of native plant species are high fecundity, polyvoltinism, presence of symbiotic plant pathogens, long-range or aggregation pheromones.

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“…Males of P. proximus have been shown to produce acoustic signals which are species-specific when compared to the signals produced by P. subopacus males and Polygraphus nigrielytris males (Kerchev 2020). Similarly to other bark beetles, P. proximus has been associated with phytopathogenic fungi, mainly Grosmannia aoshimae, Ophiostoma subalpinum and O. nikkoense (Pashenova et al 2018), and infestation of fir logs with G. aoshimae increases their colonization by P. proximus in the field (Baranchikov et al 2017). Previously it has been shown that fungal symbionts of bark beetles can produce volatiles which increase the attraction of the beetles to attacked trees (Kandasamy et al 2016).…”

Section: Chemoecologymentioning

confidence: 99%

Identification of sex-specific compounds in the invasive four-eyed fir bark beetle Polygraphus proximus

et al. 2022

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Polygraphus proximus, a four-eyed fir bark beetle, is an invasive bark beetle species which has caused extensive damage to forests of Abies sibirica in southern and western Siberia and to Abies species in the European part of Russia. There is a high risk that the pest insect will spread to areas where it is currently not considered present, such as the European Union. In these areas, it threatens to attack conifer forests of various species which may result in major environmental and economic impact. The aim of this study was to identify pheromone components of P. proximus that can be used as pheromone baits. Males and females of P. proximus were allowed to bore into the bark of stem sections of Abies sibirica at the laboratory, and volatiles were collected with solid-phase microextraction (SPME). Analyses of these extracts with gas chromatography-mass spectrometry (GC–MS) revealed several sex-specific compounds. In total, twelve male-specific compounds and one female-specific compound were identified. The major male-specific compound determined by GC peak area was (Z)‐2‐(3,3‐dimethylcyclohexylidene)‐ethanol [(Z)-DMCHE] and the minor male-specific compounds were 3-methyl-3-buten-1-ol, 3-methyl-2-buten-1-ol, 3-methyl-2-butenal, benzyl alcohol, fragranol, 7-methyl-3-methylene-6-octen-1-ol, (Z)- and (E)-2-(3,3-dimethylcyclohexylidene)-acetaldehyde, geraniol, geranial and papayanol. The only female-specific compound was identified as 1-hexanol. Two of the male-specific compounds, (Z)‐DMCHE and 3-methyl-2-buten-1-ol were shown to attract males and females of P. proximus in field studies. Thus, we now for the first time can present the structures of two male-specific components that are biologically active parts of P. proximus aggregation pheromone. However, some chemical communication overlap between P. proximus and P. subopacus needs to be further investigated as (Z)‐DMCHE also attracted males and females of P. subopacus.

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Ophiostomatoid Fungi Associated with the Four-Eyed Fir Bark Beetle on the Territory of Russia

Cited by 14 publications

References 17 publications

Detection of Fir Trees (Abies sibirica) Damaged by the Bark Beetle in Unmanned Aerial Vehicle Images with Deep Learning

Detection of Fir Trees (Abies sibirica) Damaged by the Bark Beetle in Unmanned Aerial Vehicle Images with Deep Learning

Biological Strategies of Invasive Bark Beetles and Borers Species

Identification of sex-specific compounds in the invasive four-eyed fir bark beetle Polygraphus proximus

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