Relevant bibliographies by topics / Bark beetle detection

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Bark beetle detection'

Author: Grafiati
Published: 7 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Bark beetle detection"

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Vindiš, Peter, Damijan Kelc, and Peter Berk. "Detection of bark beetle infestations by drone and image analysis in spruce forests." Šumarski list 149, no. 3-4 (2025): 127–35. https://doi.org/10.31298/sl.149.3-4.2.

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Bark beetles, such as the eight-toothed spruce bark beetle (Ips typographus L.) and the six-toothed spruce bark beetle (Pityogenes chalcographus L.), cause extreme economic and environmental damage in forests, especially in areas dominated by Norway spruce (Picea abies L. Karst.). Fast detection and containment of bark beetle outbreaks are crucial in the battle against bark beetles, but unfortunately, the infestation detection system in Slovenia is somewhat outdated. As part of a research project, an experiment was conducted using a drone and a multispectral camera to search for bark beetle in
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Gomez, Demian F., Haley M. W. Ritger, Christopher Pearce, Jeffrey Eickwort, and Jiri Hulcr. "Ability of Remote Sensing Systems to Detect Bark Beetle Spots in the Southeastern US." Forests 11, no. 11 (2020): 1167. http://dx.doi.org/10.3390/f11111167.

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Research Highlights: Sentinel-2 Normalized Difference Vegetation Index (NDVI) products show greater potential to detect indications of disturbance by bark beetles in the southeastern US than Moderate Resolution Imaging Spectroradiometer (MODIS), as the high spatiotemporal heterogeneity of the southeastern forest land prevents its deployment at the current resolution. Background and Objectives: Remote sensing technologies have been an essential tool to detect forest disturbances caused by insect pests through spectral trait variation. In the US, coordinated efforts such as ForWarn, led by the U
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Marais, G. Christopher, Isabelle C. Stratton, Andrew J. Johnson, and Jiri Hulcr. "Progress in developing a bark beetle identification tool." PLOS One 20, no. 6 (2025): e0310716. https://doi.org/10.1371/journal.pone.0310716.

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This study presents an initial model for bark beetle identification, serving as a foundational step toward developing a fully functional and practical identification tool. Bark beetles are known for extensive damage to forests globally, as well as for uniform and homoplastic morphology which poses identification challenges. Utilizing a MaxViT-based deep learning backbone which utilizes local and global attention to classify bark beetles down to the genus level from images containing multiple beetles. The methodology involves a process of image collection, preparation, and model training, lever
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Santoiemma, Giacomo, Andrea Battisti, Claudine Courtin, et al. "Testing a trapping protocol for generic surveillance of wood-boring beetles in heterogeneous landscapes." NeoBiota 95 (August 30, 2024): 77–95. https://doi.org/10.3897/neobiota.95.129483.

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Baited traps are a basic component of both specific and generic surveillance programs targeting wood-boring beetles at risk of introduction to new habitats because of global trade. Among the numerous protocols developed over the years for generic surveillance of longhorn beetles, jewel beetles, and bark and ambrosia beetles is the simultaneous use of black multi-funnel traps set up in the understory and green multi-funnel traps set up in the canopy of forested areas surrounding ports and other entry points. These traps are commonly baited with multi-lure blends of pheromones and host volatiles
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Schweigkofler, Wolfgang, William J. Otrosina, Sheri L. Smith, et al. "Detection and quantification of Leptographium wageneri, the cause of black-stain root disease, from bark beetles (Coleoptera: Scolytidae) in Northern California using regular and real-time PCR." Canadian Journal of Forest Research 35, no. 8 (2005): 1798–808. http://dx.doi.org/10.1139/x05-077.

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Black-stain root disease is a threat to conifer forests in western North America. The disease is caused by the ophiostomatoid fungus Leptographium wageneri (W.B. Kendr.) M.J. Wingf., which is associated with a number of bark beetle (Coleoptera: Scolytidae) and weevil species (Coleoptera: Curculionidae). We developed a polymerase chain reaction test to identify and quantify fungal DNA directly from insects. Leptographium wageneri DNA was detected on 142 of 384 bark beetle samples (37%) collected in Lassen National Forest, in northeastern California, during the years 2001 and 2002. Hylastes mace
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Rizzo, Domenico, Salvatore Moricca, Matteo Bracalini, et al. "Rapid Detection of Pityophthorus juglandis (Blackman) (Coleoptera, Curculionidae) with the Loop-Mediated Isothermal Amplification (LAMP) Method." Plants 10, no. 6 (2021): 1048. http://dx.doi.org/10.3390/plants10061048.

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The walnut twig beetle Pityophthorus juglandis is a phloem-boring bark beetle responsible, in association with the ascomycete Geosmithia morbida, for the Thousand Cankers Disease (TCD) of walnut trees. The recent finding of TCD in Europe prompted the development of effective diagnostic protocols for the early detection of members of this insect/fungus complex. Here we report the development of a highly efficient, low-cost, and rapid method for detecting the beetle, or even just its biological traces, from environmental samples: the loop-mediated isothermal amplification (LAMP) assay. The metho
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Kelsey, Rick G., D. Gallego, F. J. Sánchez-García, and J. A. Pajares. "Ethanol accumulation during severe drought may signal tree vulnerability to detection and attack by bark beetles." Canadian Journal of Forest Research 44, no. 6 (2014): 554–61. http://dx.doi.org/10.1139/cjfr-2013-0428.

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Tree mortality from temperature-driven drought is occurring in forests around the world, often in conjunction with bark beetle outbreaks when carbon allocation to tree defense declines. Physiological metrics for detecting stressed trees with enhanced vulnerability prior to bark beetle attacks remain elusive. Ethanol, water, monoterpene concentrations, and composition were examined in the phloem and sapwood of drought-stressed Aleppo pine (Pinus halepensis Mill.) freshly attacked by mature Mediterranean pine shoot beetles (Tomicus destruens (Wollaston, 1865)) and in neighboring unattacked trees
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Popovych, Tetyana, and Vitaliy Symochko. "Biological features and phenology of the odd bark beetle development (Xyleborus dispar F.) on the territory of Transcarpathia." Proceedings of the State Natural History Museum, no. 37 (January 1, 2022): 243–50. http://dx.doi.org/10.36885/nzdpm.2021.37.243-250.

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On the basis of literature analysis and primary research biological features of such pest as an odd bark beetle Xyleborus dispar F are described and the phenology of its development is established. This polyphag is known to harm both forest plantations and fruit cultures. The main species damaged by bark beetles include both coniferous and deciduous and fruit trees (apple, pear, plum, bird cherry, rowan). Significant damage is caused by apple orchards of intensive type which due to planting density and softness of wood are vulnerable to damage by phytophagous. The main difficulty in the fight
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Eisenhart, Karen S., and Thomas T. Veblen. "Dendroecological detection of spruce bark beetle outbreaks in northwestern Colorado." Canadian Journal of Forest Research 30, no. 11 (2000): 1788–98. http://dx.doi.org/10.1139/x00-104.

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Episodic outbreaks of Dendroctonus rufipennis (Kirby), the spruce bark beetle, have greatly influenced the structure of subalpine forests in northern Colorado. During the 1940s, much of the subalpine zone of northwestern Colorado was severely affected by beetle outbreak; also, tree-ring and photographic evidence suggest that large-scale outbreaks occurred in the 19th century. The present study focused on tree-ring methods to examine the regional extent and synchrony of pre-20th-century beetle outbreaks in northwestern Colorado. Results from examination of both live and dead Engelmann spruce (P
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Candotti, Anna, Michaela De Giglio, Marco Dubbini, and Enrico Tomelleri. "A Sentinel-2 Based Multi-Temporal Monitoring Framework for Wind and Bark Beetle Detection and Damage Mapping." Remote Sensing 14, no. 23 (2022): 6105. http://dx.doi.org/10.3390/rs14236105.

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The occurrence of extreme windstorms and increasing heat and drought events induced by climate change leads to severe damage and stress in coniferous forests, making trees more vulnerable to spruce bark beetle infestations. The combination of abiotic and biotic disturbances in forests can cause drastic environmental and economic losses. The first step to containing such damage is establishing a monitoring framework for the early detection of vulnerable plots and distinguishing the cause of forest damage at scales from the management unit to the region. To develop and evaluate the functionality
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Dissertations / Theses on the topic "Bark beetle detection"

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Banner, Allen Vernon. "Detection of bark beetle-attacked spruce using computer-based image analysis." Thesis, University of British Columbia, 1986. http://hdl.handle.net/2429/25846.

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The spruce beetle (Dendroctonus rufipennis Kirby) is the most destructive forest pest affecting mature spruce stands in British Columbia. A variety of responses to curtail the spread of bark beetle infestations exist. The responses, however, depend upon early detection of the infestations to minimize the cost of treatment and reduce losses of timber. It has been demonstrated that bark beetle-attacked spruce can be detected using visual interpretation of large scale colour infrared film (Churcher 1984; Churcher and McLean 1984; Murtha 1985; Murtha and Cozens 1985). These studies indicate that
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Gerrells, Nathan S. "Fusion of Sentinel-1B and Sentinel-2B Data for Forest Disturbance Mapping| Detection of Bark Beetle Mortality in the Southern Sierra Nevada." Thesis, California State University, Long Beach, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10840103.

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<p> Since 2010 approximately 129 million trees in California have been killed by bark beetle attacks. The detection and mapping of bark beetle infestations is an important component for monitoring overall forest health and sustainability. Using remote sensing techniques and European Space Agency (ESA) Sentinel-1 and Sentinel-2 imagery, bark beetle infestation in the southern Sierra Nevada range were mapped. Sentinel-1 Synthetic Aperture Radar imagery was co-registered with Sentinel-2 multispectral imagery and the machine learning algorithms Random Forest and Support Vector Machines were utiliz
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Hammarlund, Per Emil. "Detecting Spruce Bark Beetle Infestations with Satellite Imagery." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-281283.

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Sveaskog is Swedens largest forest owner, owning 14 percent of the Swedish forest lands. Recently, due to warmer and drier summers as a consequence of climate change, spruce bark beetles have caused damages at a massive scale. In 2019 Sogeti developed a promising first product for monitoring the vitality of large areas through the use of Sentinel-2 data by comparing images from the same month between two years, and the results from this first product where promising. To take the detection of bark beetle infestations to the next stage of development, supervised learning was used. Models where t
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Books on the topic "Bark beetle detection"

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Niemann, K. O. Assessment of potential for remote sensing detection of bark beetle-infested areas during green attack: A literature review. Natural Resources Canada, Canadian Forest Service, Pacific Forestry Centre, 2004.

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2

Robert, Rabaglia, and United States. Forest Health Protection., eds. USDA Forest Service early detection and rapid response project for non-native bark and ambrosia beetles: Summary of the 2001-2005 pilot project. United States Dept. of Agriculture, Forest Service, Forest Health Protection, 2008.

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Robert, Rabaglia, and United States. Forest Health Protection., eds. USDA Forest Service early detection and rapid response project for non-native bark and ambrosia beetles: Summary of the 2001-2005 pilot project. United States Dept. of Agriculture, Forest Service, Forest Health Protection, 2008.

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4

Robert, Rabaglia, and United States. Forest Health Protection., eds. USDA Forest Service early detection and rapid response project for non-native bark and ambrosia beetles: Summary of the 2001-2005 pilot project. United States Dept. of Agriculture, Forest Service, Forest Health Protection, 2008.

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Book chapters on the topic "Bark beetle detection"

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Brockerhoff, Eckehard G., Juan C. Corley, Hervé Jactel, Daniel R. Miller, Robert J. Rabaglia, and Jon Sweeney. "Monitoring and Surveillance of Forest Insects." In Forest Entomology and Pathology. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-11553-0_19.

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AbstractMonitoring of insect populations is widely used in forest entomology in the context of biodiversity studies, as an aspect of pest management, and for the detection and surveillance of non-native invasive species. In particular, monitoring is undertaken to obtain information on the presence or abundance of particular species, to study their phenology (e.g. the time of oviposition or flight periods), to predict pest population size, spread and damage, or to determine if pest management activities are required. A wide variety of methods are being used for these purposes including physical
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Martínez García, Marco Esaú, Alejandra Cruz-Bernal, and Carlos Alberto Ugalde-Caballero. "Optimized Early Detection of Bark Beetles Through Automated Segmentation and Machine Learning Classification." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-96255-4_7.

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Conference papers on the topic "Bark beetle detection"

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Huo, Langning, Run Yu, Eva Lindberg, Henrik Jan Persson, Jonas Bohlin, and Niwen Li. "Influence of Crown Pixel Selection on the Early Detection of Bark Beetle Infestations Using Multispectral Drone Images." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10640385.

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Dalponte, Michele, Riccardo Sassi, Damiano Gianelle, Lorenzo Bruzzone, and Daniele Marinelli. "Exploring the Detection of Bark Beetle Attacks in Norway Spruce Forests in Sentinel-1 Image Time Series." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10641531.

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Jamali, Sadegh, Per-Ola Olsson, Mitro Müller, and Arsalan Ghorbanian. "Early Detection of Forest Bark Beetle Attack Using Time Series Spatial Variability of Spectral Indexes from Sentinel-2." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10641274.

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Washaya, Prosper, and Tomáš Hlásny. "Forest Harvest Detection Using SAR Coherence Time Series: A Case Study of Bark Beetle Outbreak in the Czech Republic." In IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2024. http://dx.doi.org/10.1109/igarss53475.2024.10642694.

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Paczkowski, Sebastian, and Dirk Jaeger. "Cost Comparison of Drone and Foot Based Early Bark Beetle Detection." In IECF 2021. MDPI, 2021. http://dx.doi.org/10.3390/iecf2021-10792.

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Huo, Langning, Eva Lindberg, and Henrik Persson. "Normalized Projected Red & SWIR (NPRS): A New Vegetation Index for Forest Health Estimation and Its Application on Spruce Bark Beetle Attack Detection." In IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2020. http://dx.doi.org/10.1109/igarss39084.2020.9323611.

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Khyzhniak, A., and O. Tomchenko. "Using remote sensing for detecting bark beetle infestation on Volyn Polissya." In International Conference of Young Professionals «GeoTerrace-2021». European Association of Geoscientists & Engineers, 2021. http://dx.doi.org/10.3997/2214-4609.20215k3049.

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Rabaglia, Robert. "International cooperation and earlier detection of bark and ambrosia beetles." In 2016 International Congress of Entomology. Entomological Society of America, 2016. http://dx.doi.org/10.1603/ice.2016.94709.

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Reports on the topic "Bark beetle detection"

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Seginer, Ido, Louis D. Albright, and Robert W. Langhans. On-line Fault Detection and Diagnosis for Greenhouse Environmental Control. United States Department of Agriculture, 2001. http://dx.doi.org/10.32747/2001.7575271.bard.

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Background Early detection and identification of faulty greenhouse operation is essential, if losses are to be minimized by taking immediate corrective actions. Automatic detection and identification would also free the greenhouse manager to tend to his other business. Original objectives The general objective was to develop a method, or methods, for the detection, identification and accommodation of faults in the greenhouse. More specific objectives were as follows: 1. Develop accurate systems models, which will enable the detection of small deviations from normal behavior (of sensors, contro
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Dolja, Valerian V., Amit Gal-On, and Victor Gaba. Suppression of Potyvirus Infection by a Closterovirus Protein. United States Department of Agriculture, 2002. http://dx.doi.org/10.32747/2002.7580682.bard.

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The plant virus family Polyviridae is the largest and most destructive of all plant viruses. Despite the continuous effort to develop resistant plant varieties, there is a desperate need for novel approaches conferring wide-range potyvirus resistance. Based on experiments with the tobacco etch potyvirus (TEV)-derived gene expression vector, we suggested approach for screening of the candidate resistance genes. This approach relies on insertion of the genes into a virus vector and evaluation of the phenotypes of the resulting recombinant viruses. The genes which suppress infection by the recomb
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