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Journal articles on the topic 'Forest disease'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

x, Adeen, and Preeti Sondhi. "Random Forest Based Heart Disease Prediction." International Journal of Science and Research (IJSR) 10, no. 2 (2021): 1669–72. https://doi.org/10.21275/sr21225214148.

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2

Singh, Pritam. "Research and management strategies for major tree diseases in Canada: Synthesis Part 1." Forestry Chronicle 69, no. 2 (1993): 151–62. http://dx.doi.org/10.5558/tfc69151-2.

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Forests are diverse and complex associations of plant and animal life that are influenced considerably by their environment and man, and by their interactions. Forest pests, including pathogens, form an important component of the forest ecosystem, and their management is an integral part of forest management. There is, however, a need to obtain a better understanding of these pests, and their relationships with plants and other factors in the environment.This article attempts to compile most of the available information about research on major tree diseases in Canada, particularly that which d

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Park, Kwang-Hi. "Analysis of Urban Forest Healing Program Expected Values, Needs, and Preferred Components in Urban Forest Visitors with Diseases: A Pilot Survey." International Journal of Environmental Research and Public Health 19, no. 1 (2022): 513. http://dx.doi.org/10.3390/ijerph19010513.

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Although the effectiveness of urban forest therapy has been studied and proven, most people are not well aware of the positive healing effects of urban forests that are easily accessible in daily life compared to the known healing effect of forests located outside urban areas. In addition, there has been a study on the analysis of urban forest healing program needs in the general population, but there is a lack of evidence on the expected values and needs of urban forest healing for people with diseases. Therefore, this pilot survey aimed to investigate the expected values, needs, and preferre

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Nevill, R. J., P. M. Hall, and J. Beale. "Forest health research needs in British Columbia." Forestry Chronicle 71, no. 4 (1995): 489–96. http://dx.doi.org/10.5558/tfc71489-4.

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To determine the needs and priorities for research on specific topics concerning forest health in British Columbia, a questionnaire was developed and distributed to forest management agencies, forest industry and other research agencies. Response was received from all groups contacted (Pacific Forestry Center [Canadian Forest Service]; BC Ministry of Forests; BC Ministry of Environment Lands & Parks; Industry; and Universities) throughout the province. Forty-two insect, disease, and mammal pests were identified for research. Research priorities for insects and diseases were equally distrib

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Tucker-Mohl, Katherine, Patrick Hart, and Carter T. Atkinson. "Can lowland dry forests represent a refuge from avian malaria for native Hawaiian birds?" Pacific Conservation Biology 16, no. 3 (2010): 181. http://dx.doi.org/10.1071/pc100181.

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Hawaii?s native birds have become increasingly threatened over the past century. Introduced mosquito borne diseases such as avian malaria may be responsible for the near absence of endemic Hawaiian forest birds in low-elevation habitats. The recent recognition that some native Hawaiian forest birds may be repopulating moist lowland habitats as a result of evolved resistance to this disease has increased the conservation value of these areas. Here, we investigate whether remnant low elevation dry forests on Hawaii Island provide natural ?refuges? from mosquito-transmitted malaria by nature of t

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Bhargavi, PG, and Pranathi Kavi. "Kyasanur forest disease." Indian Journal of Otology 23, no. 1 (2017): 56. http://dx.doi.org/10.4103/0971-7749.199504.

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Holbrook, Michael R. "Kyasanur forest disease." Antiviral Research 96, no. 3 (2012): 353–62. http://dx.doi.org/10.1016/j.antiviral.2012.10.005.

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Sharma, SN. "Kyasanur Forest Disease: Vector Surveillance and its Control." Journal of Communicable Diseases 51, no. 02 (2019): 38–44. http://dx.doi.org/10.24321/0019.5138.201915.

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Shyma V.H, Shyma V. H., Kutty M. V. H. Kutty M.V.H, and RemyaV RemyaV. "Kyasanur Forest Disease - an Emerging Threat in Kerala." International Journal of Scientific Research 3, no. 7 (2012): 367–68. http://dx.doi.org/10.15373/22778179/july2014/112.

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Al-Obaidi, Muhannad H. Y. "Disease of forest tree seedlings (Article Review)." Kirkuk University Journal For Agricultural Sciences 14, no. 4 (2023): 83–90. http://dx.doi.org/10.58928/ku23.14408.

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Nursery are one of the most important reasons for the success and progress of the agricultural renaissance, as it depends on the application of various advanced scientific methods and the use of Nursery of various types in the propagation and production of forest seedlings and others. A greenhouse is a place where small plants are produced to plant them in gardens, fields, and trees. The plants produced by the greenhouse vary between ornamental plants and flowers, fruit plants, vegetables, and forest trees, and Nursery are often held for commercial purposes.The incidence of Nursery diseases in

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11

Hall, J. Peter. "ARNEWS assesses the health of Canada's forests." Forestry Chronicle 71, no. 5 (1995): 607–13. http://dx.doi.org/10.5558/tfc71607-5.

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In 1984 the Canadian Forest Service (CFS) established the Acid Rain National Early Warning System (ARNEWS) to monitor the state of health of Canada's forests. This program was implemented by the CFS Forest Insect and Disease Survey (FIDS) who survey the plots annually and determine the causes of observed damage. For the period, 1984-1994, the survey indicates that there has been no large-scale decline in the health of Canada's forests. Insects, diseases and abiotic conditions have impacted forests, and isolated cases of damage caused by air pollution have been observed. The presence of unknown

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12

Xiong, Qin, Jun Yang, and Siyi Ni. "Microbiome-Mediated Protection against Pathogens in Woody Plants." International Journal of Molecular Sciences 24, no. 22 (2023): 16118. http://dx.doi.org/10.3390/ijms242216118.

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Pathogens, especially invasive species, have caused significant global ecological, economic, and social losses in forests. Plant disease research has traditionally focused on direct interactions between plants and pathogens in an appropriate environment. However, recent research indicates that the microbiome can interact with the plant host and pathogens to modulate plant resistance or pathogen pathogenicity, thereby altering the outcome of plant–pathogen interactions. Thus, this presents new opportunities for studying the microbial management of forest diseases. Compared to parallel studies o

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13

Y, Mrs Swathi. "PLANT DISEASE DETECTION USING DEEP LEARNING." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 04 (2024): 1–5. http://dx.doi.org/10.55041/ijsrem31443.

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Crop diseases pose a significant threat to food security, but their timely detection is challenging in many regions due to a lack of necessary infrastructure. Recent advancements in leaf-based image classification have yielded promising outcomes. This study leverages Random Forest to differentiate between healthy and diseased leaves using newly created datasets. The proposed methodology includes dataset generation, feature extraction, classifier training, and image classification. Diseased and healthy leaf datasets are collectively trained using Random Forest for accurate classification. Featu

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Kang, Hee Won, and Geo Lyong Lee. "Qualitative Content Analysis of Forest Healing Experience in Forest Life." Journal of People, Plants, and Environment 24, no. 3 (2021): 301–9. http://dx.doi.org/10.11628/ksppe.2021.24.3.301.

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Background and objective The purpose of this study is to analyze the case of healing experience for lifestyle and environmental diseases through life and activities in the forest from the perspecitive of critical realism, and how the causal power and mechanism of the healing experience relate to forest healing factors and programs. Methods 93 video data of people who started living in the forest for disease treatment were analyzed using a qualitative content analysis method from the perspective of critical realism. Categories for analysis include general categories (age, duration, occupation,

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15

Zhao, Junhao, Jiahao Wang, Jixia Huang, Le Zhang, and Jianzhi Tang. "Spring Temperature Accumulation Is a Primary Driver of Forest Disease and Pest Occurrence in China in the Context of Climate Change." Forests 14, no. 9 (2023): 1730. http://dx.doi.org/10.3390/f14091730.

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Climatic factors have a strong influence on the occurrence of forest diseases and pests, but few studies have systematically analyzed the influence of spring climatic factors on the occurrence of forest diseases and pests in China. We collected inventory data of forest resources, forest diseases, and pest occurrences and then analyzed the spatial and temporal characteristics of China’s forest diseases and pests from 1992–2019. Next, we took spring temperature accumulations ≥ 10 °C, spring average precipitation, and spring average radiation as the spring climatic factors and analyzed their infl

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MacDonald, William L. "Dominating North American Forest Pathology Issues of the 20th Century." Phytopathology® 93, no. 8 (2003): 1039–40. http://dx.doi.org/10.1094/phyto.2003.93.8.1039.

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The profession of forest pathology evolved in the early decades of the 20th century from a science describing microorganisms that infect trees to a discipline that was required to deal with numerous disease outbreaks. The foundations of the science were carried from Europe to the “New World” and initially dealt with decay and the resource losses it caused. The profession was forced to shift direction quickly because it was called upon to address major diseases caused by the introduction of pathogens from other continents; notably organisms inciting chestnut blight, Dutch elm disease, and white

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Itô, Hiroki. "Time series data of a broadleaved secondary forest in Japan as affected by deer and mass mortality of oak trees." Biodiversity Data Journal 5 (March 17, 2017): e11732. https://doi.org/10.3897/BDJ.5.e11732.

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Abandonment of broadleaved secondary forests that have been used for various purposes may cause the loss of biodiversity. Some of these forests suffer from diseases such as Japanese oak wilt. An increasing number of deer also impact some of them. Monitoring and recording the status of such forests is important for their proper management. This data set provides a concrete example of temporal changes in a temperate broadleaved secondary forest. The forest has been damaged by mass mortality of oak trees caused by Japanese oak wilt disease. In addition, the forest has been under foraging pressure

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18

Manion, Paul D. "Evolution of Concepts in Forest Pathology." Phytopathology® 93, no. 8 (2003): 1052–55. http://dx.doi.org/10.1094/phyto.2003.93.8.1052.

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Foundation concepts in forest pathology are based on experiences evolving over time. Three examples will be addressed. (i) The primary concept behind education and research in forest pathology is the widely accepted attitude that disease-causing agents limit full utilization of forest resources. Therefore, we study diseases to find a weak link and then utilize this information to enhance our portion of the shared resource. The sustainable environmental issues of today have changed this concept, in my mind, to one of addressing what is the appropriate “healthy amount of disease” in a sustainabl

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McLaughlin, Kirsty Elizabeth, Hadj Ahmed Belaouni, Andrew McClure, et al. "Using Environmental DNA as a Plant Health Surveillance Tool in Forests." Forests 16, no. 4 (2025): 632. https://doi.org/10.3390/f16040632.

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Plant pests (including pathogens) threaten forests, reduce carbon sequestration, disrupt trade, and are costly to manage. Traditionally, forest surveys involve the visual inspection of trees for symptoms of disease; however, this process is time consuming and by the time symptoms are observed, the disease may be widespread. New methods of surveillance are needed to help plant health authorities monitor and protect forests from disease. Previous research has shown that metabarcoding of environmental DNA (eDNA) can be used to identify plant pests. This study collected rainwater samples from five

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20

Fei, Songlin, Randall S. Morin, Christopher M. Oswalt, and Andrew M. Liebhold. "Biomass losses resulting from insect and disease invasions in US forests." Proceedings of the National Academy of Sciences 116, no. 35 (2019): 17371–76. http://dx.doi.org/10.1073/pnas.1820601116.

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Worldwide, forests are increasingly affected by nonnative insects and diseases, some of which cause substantial tree mortality. Forests in the United States have been invaded by a particularly large number (>450) of tree-feeding pest species. While information exists about the ecological impacts of certain pests, region-wide assessments of the composite ecosystem impacts of all species are limited. Here we analyze 92,978 forest plots distributed across the conterminous United States to estimate biomass loss associated with elevated mortality rates caused by the 15 most damaging nonnative fo

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21

Liao, Kuo, Fan Yang, Haofei Dang, Yunzhong Wu, Kunfa Luo, and Guiying Li. "Detection of Eucalyptus Leaf Disease with UAV Multispectral Imagery." Forests 13, no. 8 (2022): 1322. http://dx.doi.org/10.3390/f13081322.

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Forest disease is one of the most important factors affecting tree growth and product quality, reducing economic values of forest ecosystem goods and services. In order to prevent and control forest diseases, accurate detection in a timely manner is essential. Unmanned aerial vehicles (UAVs) are becoming an important tool for acquiring multispectral imagery, but have not been extensively used for detection of forest diseases. This research project selected a eucalyptus forest as a case study to explore the performance of leaf disease detection using high spatial resolution multispectral imager

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22

Li, Qing. "Preventive Effects of Forest Bathing/Shinrin-Yoku on Cardiovascular Diseases: A Review of Mechanistic Evidence." Forests 16, no. 2 (2025): 310. https://doi.org/10.3390/f16020310.

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Cardiovascular diseases (CVDs) are a group of disorders of the heart and blood vessels and include coronary heart disease, cerebrovascular disease, rheumatic heart disease, and other conditions, which are leading causes of global morbidity and mortality. It is very important to establish preventive measures against CVDs, including hypertension. Against this background, forest bathing/shinrin-yoku is attracting attention as a new method of health promotion and disease prevention. Forest bathing/shinrin-yoku is an activity that utilizes the healing effects of forests to promote people’s health a

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23

Latty, Erika F., Charles D. Canham, and Peter L. Marks. "Beech bark disease in northern hardwood forests: the importance of nitrogen dynamics and forest history for disease severity." Canadian Journal of Forest Research 33, no. 2 (2003): 257–68. http://dx.doi.org/10.1139/x02-183.

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Beech bark disease has been a major cause of mortality of American beech (Fagus grandifolia Ehrh.) in North America during the past century. Previous studies have suggested a positive relationship between disease severity and both bark nitrogen content and tree size, presumably due to higher rates of infestation by beech scale insects, which allow more extensive infection of the tree by Nectria fungi. Recent concerns about nitrogen saturation in northeastern forests, particularly in old-growth forests, led us to examine patterns of disease severity as a function of bark tissue nitrogen content

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Tao, Xuanyi. "A random forest-based prediction of cardiovascular diseases." Applied and Computational Engineering 76, no. 1 (2024): 311–16. http://dx.doi.org/10.54254/2755-2721/76/20240625.

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With the rapid development of human arithmetic and new algorithms the use of machine learning in the healthcare industry is growing rapidly. A cardiovascular dataset is used to explore the correlation between various data in the dataset and cardiovascular diseases. Five types of machine learning algorithms, namely logistic regression, Adaboost, decision tree classifier, random forest, and neural network, are used to predict cardiovascular diseases. After training, it can efficiently process input samples with high-dimensional features, and the Random Forest model, which integrates multiple tre

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25

Larsson, Rebecca, Audrius Menkis, and Åke Olson. "Diplodia sapinea in Swedish forest nurseries." Plant Protection Science 57, No. 1 (2020): 66–69. http://dx.doi.org/10.17221/68/2020-pps.

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Diplodia sapinea is a common forest pathogen on Pinus spp. in a large part of the world. In 2013, disease caused by this pathogen on Scots pine (Pinus sylvestris) trees in Sweden was reported for the first time. In this study, we report the first detection of D. sapinea on diseased seedlings of P. sylvestris from two Swedish forest nurseries. Infected seedlings were collected July–November 2019. Diplodia sapinea was identified by morphological characteristics of fungal structures on plant tissues and from culture grown on Hagem agar media, followed by sequencing of fungal ITS rDNA. The result

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Ostry, M. E., R. C. Venette, and J. Juzwik. "Decline as a Disease Category: Is It Helpful?" Phytopathology® 101, no. 4 (2011): 404–9. http://dx.doi.org/10.1094/phyto-06-10-0153.

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Many, but not all, forest pathologists use “decline” to describe forest tree diseases of complex etiology. We contend that this distinction from abiotic or biotic diseases is completely arbitrary, has caused undue confusion, and provides no practical insights for forest managers. All diseases are complex and can be characterized within the conceptual framework of the disease triangle. Why do we use a simple label (“decline”) to describe disease situations of complex abiotic and biotic origin when we need to know which damaging agents are present, whether the environment is conducive for diseas

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Bhargav, P., MVL Kathyayani, K. Raviteja, PTV Aditya Ram, and K. Pavan Kumar. "Enhancing Disease Prediction Accuracy Using Random Forest." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 03 (2025): 1–9. https://doi.org/10.55041/ijsrem42828.

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MultiDisease prediction system” uses advanced machine learning techniques to facilitate identification Multiple diseases based on user -provided symptoms. The The system integrates classification algorithms, including random Forest, Support Vector Machine (SVM), K-Ner Closer Neighbors (KNN), support vector classifier (SVC) and logistics regression, to diagnose health conditions such as diabetes, gastroesophageal reflux disease (GERD), dengue, pneumonia and more than 20 other diseases. The proposed methodology is followed by a structured pipe involving data collection, function extraction, Pre

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Potter, Kevin, Maria Escanferla, Robert Jetton, and Gary Man. "Important Insect and Disease Threats to United States Tree Species and Geographic Patterns of Their Potential Impacts." Forests 10, no. 4 (2019): 304. http://dx.doi.org/10.3390/f10040304.

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Diseases and insects, particularly those that are non-native and invasive, arguably pose the most destructive threat to North American forests. Currently, both exotic and native insects and diseases are producing extensive ecological damage and economic impacts. As part of an effort to identify United States tree species and forests most vulnerable to these epidemics, we compiled a list of the most serious insect and disease threats for 419 native tree species and assigned a severity rating for each of the 1378 combinations between mature tree hosts and 339 distinct insect and disease agents.

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Oliva, Jonàs, Miguel Ángel Redondo, and Jan Stenlid. "Functional Ecology of Forest Disease." Annual Review of Phytopathology 58, no. 1 (2020): 343–61. http://dx.doi.org/10.1146/annurev-phyto-080417-050028.

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Global change is pressing forest pathologists to solve increasingly complex problems. We argue that understanding interactive effects between forest pathogens and global warming, globalization, and land-use changes may benefit from a functional ecology mindset. Traits can be more informative about ecological functions than species inventories and may deliver a more mechanistic description of forest disease. Myriad microbes with pathogenic potential interact with forest ecosystems at different organizational levels. Elucidation of functional traits may enable the microbial complexity to be redu

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Cheng, Yuan, Jun Liang, Xian Xie, and Xingyao Zhang. "Effect of Plant Diversity on the Occurrence of Diplodia Tip Blight in Natural Secondary Japanese Red Pine Forests." Forests 12, no. 8 (2021): 1083. http://dx.doi.org/10.3390/f12081083.

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Diplodia tip blight caused by Sphaeropsis sapinea (Fr.) Dyko and B. Sutton is a serious threat to the health of natural secondary Japanese red pine (Pinus densiflora Sieb. et Zucc.) forests. To explore the effect of plant diversity on Diplodia tip blight disease occurrence, the correlation between Diplodia tip blight in P. densiflora and plant diversity in various stand types and vertical structure layers were analyzed by Pearson correlation coefficients and generalized linear model while keeping environmental factors relatively consistent. Disease index of Diplodia tip blight in P. densiflora

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Thota, Lavanya*1 Nimmala Satyanarayana2 &. Manasa.K3. "HEART DISEASE PREDICTION USING RANDOM FOREST ALGORITHM." GLOBAL JOURNAL OF ENGINEERING SCIENCE AND RESEARCHES 5, no. 8 (2018): 248–52. https://doi.org/10.5281/zenodo.1400571.

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Present days one of the major application areas of machine learning algorithms is medical diagnosis of diseases and treatment. Machine learning algorithms also used to find correlations and associations between different diseases. Nowadays many people are dying because of sudden heart attack .Prediction and diagnosing of heart disease becomes a challenging factor faced by doctors and hospitals both in India and abroad. In order to reduce number of deaths because of heart diseases, we have to predict whether person is at the risk of heart disease or not   in advance. Data mining techn

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Mistretta, P. A. "Southern Forest Resource Assessment highlights: Managing for Forest Health." Journal of Forestry 100, no. 7 (2002): 24–27. http://dx.doi.org/10.1093/jof/100.7.24.

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Abstract Both native and exotic insects and diseases affect southern forest health and vitality and therefore have ecological and economic effects. In addition, there are abiotic factors, such as climate change and air pollution, that may interact with and sometimes exacerbate the dynamics of insect and disease outbreaks. Managing for forest health in this changing environment remains a critical challenge for forest managers in the South. The Southern Forest Resource Assessment (SFRA) addressed questions regarding the health of forest ecosystems; this summary of the findings focuses on the imp

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Dilip, Singh Meena, Kumar Meena Yogendra, and Agrawal Gaurav. "Kyasnaur Forest Disease -A re-emerging zoonotic disease." Science World a monthly e magazine 2, no. 2 (2022): 197–200. https://doi.org/10.5281/zenodo.6235813.

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Kyasnaur forest disease is a rare tick-borne zoonotic disease that causes acute febrile heamorrhagic illness in humans and monkeys, primarily in India&#39;s south. The disease is caused by the highly pathogenic KFD virus, which is a member of the Flavivirus genus and the Flaviviridae family. It is a re-emerging vector-borne zoonotic disease (VBZD) in various parts of the world, including India.

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Ondieki, Joseph Atanga, Peter Sirmah, and Joseph Hitimana. "Incidence of Pests and Diseases in Tree Nurseries and Plantations in Kimondi Forest, Nandi County, Kenya." East African Journal of Forestry and Agroforestry 3, no. 1 (2021): 18–28. http://dx.doi.org/10.37284/eajfa.3.1.287.

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Increasing demand for wood is putting pressure on forest resources that are equally under threat from insect pests and diseases. Reported average annual forest loss stands at 0.2% globally, 0.8% in Africa, and 1.6% in Kenya. To meet the increasing demand for forest products in Kenya, the government and private sector have established plantations of non-native tree species dominated by Eucalyptus species, Cupressus lusitanica, and Pinus patula. To ensure successful forest plantation establishment and management schemes, there is a need for sufficient knowledge and understanding of tree growth c

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Kumar, Raj. "Smart Plantation Forecasting and Prevention of Plant Disease." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem47409.

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Abstract— Crop diseases are a noteworthy risk to sustenance security, however their quick distinguishing proof stays troublesome in numerous parts of the world because of the non attendance of the important foundation. Emergence of accurate techniques in the field of leaf-based image classification has shown impressive results. This paper makes use of Random Forest in identifying between healthy and diseased leaf from the data sets created. Our proposed paper includes various phases of implementation namely dataset creation, feature extraction, training the classifier and classification. The c

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Anthony Ba, Paul. "Forest Pathology: The Threat of Disease to Plantation Forests in Indonesia." Plant Pathology Journal 3, no. 2 (2004): 97–104. http://dx.doi.org/10.3923/ppj.2004.97.104.

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Bhavani,, P. Ganga. "Kidney Disease Prediction." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 01 (2025): 1–9. https://doi.org/10.55041/ijsrem40936.

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Chronic Kidney Disease (CKD) is a growing public health concern, and early detection is critical for effective intervention. This study compares various machine learning models—Logistic Regression, Decision Trees, Random Forests, Support Vector Machines (SVM), and Neural Networks—to predict CKD. Results show that ensemble methods, like Random Forests, outperform individual models in terms of accuracy and robustness due to their ability to reduce overfitting. However, simpler models like Logistic Regression and Decision Trees offer greater interpretability, which is essential in clinical settin

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Lee, S. S., W. W. Than, K. Tint, S. Saing, I. Animon, and S. Sathyapala. "Strengthening capacity for forest protection in Myanmar." International Forestry Review 26, no. 1 (2024): 72–82. http://dx.doi.org/10.1505/146554824838457862.

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Pests and diseases have been reported by Myanmar foresters and plantation owners as significant challenges to the quality and quantity of wood supply from natural and planted forests. As part of a FAO project on strengthening local capacity in forest health, questionnaire surveys on pests and diseases and a needs assessment were conducted among companies/organizations involved in growing forests. Thirteen and 12 participants responded to the two surveys, respectively. Respondents grew 10 different tree species, namely Tectona grandis, Acacia mangium, Acacia hybrid, Eucalyptus spp., Gmelina arb

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Giencke, Lisa M., Martin Dovčiak, Giorgos Mountrakis, Jonathan A. Cale, and Myron J. Mitchell. "Beech bark disease: spatial patterns of thicket formation and disease spread in an aftermath forest in the northeastern United States." Canadian Journal of Forest Research 44, no. 9 (2014): 1042–50. http://dx.doi.org/10.1139/cjfr-2014-0038.

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Beech bark disease (BBD) has affected the composition, structure, and function of forests containing a significant proportion of American beech (Fagus grandifolia Ehrh.) across North America. BBD spread has been investigated at landscape and regional scales, but few studies have examined spatial patterns of disease severity and spread within stands where forest management mitigation measures can be implemented. We analyzed changes in forest composition between 1985 and 2009 and fine-scale spatial patterns of BBD between 2000 and 2009 in a ∼2 ha northern hardwood stand in the Adirondack Mountai

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Балашкевич, Ю. А., та Л. П. Балухта. "К вопросу распространения основных видов болезней в лесах Центрального федерального округа". Известия СПбЛТА, № 253 (18 червня 2025): 168–77. https://doi.org/10.21266/2079-4304.2025.253.168-177.

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Существует острый дефицит актуальной и достоверной информации о состоянии и динамике лесов страны. Лесные насаждения активно подвержены комплексу неблагоприятных факторов, под воздействием которых они теряют устойчивость. Защита лесов от вредителей и болезней леса обеспечивается систематическим мониторингом его состояния, своевременным выявлением очагов вредителей и болезней леса, их локализацией и ликвидацией. Анализ санитарного состояния насаждений на территории ЦФО позволит выявить основные причины ослабления и гибели. Общая площадь очагов болезней леса по субъектам ЦФО за 2022 год составил

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Wang, Wei, Wanting Peng, Xiuyu Liu, Geng He, and Yongli Cai. "Spatiotemporal Dynamics and Factors Driving the Distributions of Pine Wilt Disease-Damaged Forests in China." Forests 13, no. 2 (2022): 261. http://dx.doi.org/10.3390/f13020261.

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Many forests have suffered serious economic losses and ecological consequences of pine wilt disease (PWD) outbreaks. Climate change and human activities could accelerate the distribution of PWD, causing the exponential expansion of damaged forest areas in China. However, few studies have analyzed the spatiotemporal dynamics and the factors driving the distribution of PWD-damaged forests using continuous records of long-term damage, focusing on short-term environmental factors that influence multiple PWD outbreaks. We used a maximum entropy (MaxEnt) model that incorporated annual meteorological

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R., Vasanthi,, and Tamilselvi, J. "Heart Disease Prediction Using Random Forest Algorithm." CARDIOMETRY, no. 24 (November 30, 2022): 982–88. http://dx.doi.org/10.18137/cardiometry.2022.24.982988.

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Heart disease is one of the complex diseases and globally many of us suffer from this disease. On time and efficient identification of cardiovascular disease plays a key role in healthcare, particularly within the field of cardiology. An efficient and accurate system to diagnose cardiovascular disease and the system is predicated on machine learning techniques. The system is developed by classification algorithms using Random Forest, Naïve Bayes and Support Vector Machine while standard features selection techniques are used like univerate, feature importance , and correlation matrix for remov

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박수진, Eu ddeum Lee, Ji Eun Kim, Tongil Kim, Minji Kang, and Jae-eun An. "Association Between Urban Treed Area and Allergic Disease." Journal of Korean institute of Forest Recreation 15, no. 3 (2011): 31–36. http://dx.doi.org/10.34272/forest.2011.15.3.004.

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Melnichenko, Natalia P., and Andrey I. Tatarintsev. "CENOTIC ROLE OF INFECTIOUS DISEASES IN ABIES SIBIRICA LEDEB. STANDS IN THE SOUTH CENTRAL SIBERIA." Siberian Journal of Life Sciences and Agriculture 15, no. 4 (2023): 180–96. http://dx.doi.org/10.12731/2658-6649-2023-15-4-180-196.

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Background. Degradation of Abies sibirica Ledeb.-dominated forests in the South Central Siberia is a reflection of the global trend of coniferous forest ecosystems decline. Nevertheless, the role of infectious diseases in coniferous forests degradation and dieback is often underestimated. Research aim. To assess the coenotic role of infectious diseases in fir-dominated stands in the South Central Siberia, considering the differentiation in trees. Materials and methods. The research was based on a survey of A. sibirica-dominated forest stands growing in Biryusinsky forest management

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Wang, Qi, and Xiyou Su. "Research on Named Entity Recognition Methods in Chinese Forest Disease Texts." Applied Sciences 12, no. 8 (2022): 3885. http://dx.doi.org/10.3390/app12083885.

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Named entity recognition of forest diseases plays a key role in knowledge extraction in the field of forestry. The aim of this paper is to propose a named entity recognition method based on multi-feature embedding, a transformer encoder, a bi-gated recurrent unit (BiGRU), and conditional random fields (CRF). According to the characteristics of the forest disease corpus, several features are introduced here to improve the method’s accuracy. In this paper, we analyze the characteristics of forest disease texts; carry out pre-processing, labeling, and extraction of multiple features; and construc

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Djordjevic, Milutin, Milena Krstic, and Novica Stajkovic. "Assessment of the potential and actual risk of lyme disease agent transmission in the territory of Belgrade." Veterinarski glasnik 69, no. 5-6 (2015): 377–88. http://dx.doi.org/10.2298/vetgl1506377d.

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In the territory of Belgrade, at 16 sites (15 of test and one control), which belong to different enviromental categories such as: parks (Topcider, Hajd park, park Banovo brdo, Sumice, Usce), park-forests (Kosutnjak, Zvezdara, SP Jajinci, Banjica, Ada Ciganlija) and forests (Avala, Lipovica, Bojcinska forest, Manastirska forest, Makis), there were investigated potential and actual risk of transmission of Borrelia burgdorferi sensu lato. Suplja Stena was taken as a control site, where no chemical treatment was performed. Once of month, from March to October 2012, ticks were collected by flag-ho

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Harrison, K. J. "Forest disease records on eastern white pine in Atlantic Canada: 1950 to 1996." Forestry Chronicle 85, no. 4 (2009): 604–8. http://dx.doi.org/10.5558/tfc85604-4.

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Between 1936 and 1996, the Forest Insect and Disease Survey (FIDS) of the Canadian Forest Service of Natural Resources Canada surveyed eastern white pine (Pinus strobus L.) throughout Atlantic Canada. During those years, FIDS reported its insect and disease findings in a wide variety of regional and national reports and in the scientific literature. The National Forest Health Database contains these electronic records and indicates the distribution and relative importance of forest diseases and fungi for many tree species in Atlantic Canada. This paper is a frequency analysis of the fungal dis

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Dhaka, Rohit, Ramesh Verma, Raj Kumar, Mukesh Dhankar, Kapil Bhalla, and Ginni Agrawal. "Kyasanur forest disease: a rare viral hemorrhagic disease in India." International Journal Of Community Medicine And Public Health 5, no. 8 (2018): 3149. http://dx.doi.org/10.18203/2394-6040.ijcmph20183042.

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Kyasanur forest disease (KFD) is a rare hemorrhagic disease in India and isolated in monkeys in the Kyasanur Forest of the Shimoga district, Karnataka State in India in 1957. KFD is a zoonotic disease and endemic in southern part of India. KFD Virus commonly infects the black faced langur monkey (Semnopithecus entellus). No evidence for human-to-human transmission. Large domestic animals (cows, goats, sheep) that become infected are thought be important only for sustaining tick population. When monkeys come in contact with the infected ticks, they get infected, amplify and disseminate the infe

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Pramanik, Moumita, Ratika Pradhan, Parvati Nandy, Akash Kumar Bhoi, and Paolo Barsocchi. "Machine Learning Methods with Decision Forests for Parkinson’s Detection." Applied Sciences 11, no. 2 (2021): 581. http://dx.doi.org/10.3390/app11020581.

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Biomedical engineers prefer decision forests over traditional decision trees to design state-of-the-art Parkinson’s Detection Systems (PDS) on massive acoustic signal data. However, the challenges that the researchers are facing with decision forests is identifying the minimum number of decision trees required to achieve maximum detection accuracy with the lowest error rate. This article examines two recent decision forest algorithms Systematically Developed Forest (SysFor), and Decision Forest by Penalizing Attributes (ForestPA) along with the popular Random Forest to design three distinct Pa

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Pramanik, Moumita, Ratika Pradhan, Parvati Nandy, Akash Kumar Bhoi, and Paolo Barsocchi. "Machine Learning Methods with Decision Forests for Parkinson’s Detection." Applied Sciences 11, no. 2 (2021): 581. http://dx.doi.org/10.3390/app11020581.

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Biomedical engineers prefer decision forests over traditional decision trees to design state-of-the-art Parkinson’s Detection Systems (PDS) on massive acoustic signal data. However, the challenges that the researchers are facing with decision forests is identifying the minimum number of decision trees required to achieve maximum detection accuracy with the lowest error rate. This article examines two recent decision forest algorithms Systematically Developed Forest (SysFor), and Decision Forest by Penalizing Attributes (ForestPA) along with the popular Random Forest to design three distinct Pa

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