Management of Forest Pests and Diseases—3rd Edition

A special issue of Forests (ISSN 1999-4907). This special issue belongs to the section "Forest Health".

Deadline for manuscript submissions: 25 March 2026 | Viewed by 681

Special Issue Editors


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Guest Editor
National Institute of Forest Science, Seoul, Republic of Korea
Interests: climate change; entomology; ecological modeling; forest pests; population dynamics
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Guest Editor
Department of Biology, Kyung Hee University, Dongdaemun, Seoul 02447, Republic of Korea
Interests: global warming; ecology; ecological model; machine learning; species distribution; invasive alien species

Special Issue Information

Dear Colleagues,

Forest insects as well as microorganisms are important parts of the forest ecosystem, acting as regulating factors in the nutrient cycle and energy flow. However, many pests and diseases severely impact these ecosystems, negatively impacting forestry economy, ecosystem services, biodiversity, etc. Recently, forest pests and diseases have mainly emerged as a result of habitat changes or climate change. International trade and travel increase the movement of organisms from their original habitat to new areas, inducing the dispersal of organisms as invasive species. Meanwhile, climate change, including temperature increase, changes the potential distribution area of species by changing their habitat condition. Therefore, surveillance and monitoring of their occurrences and assessment of their impacts on the forest ecosystem would be the first step towards sustainable forest ecosystem management. Surveillance and monitoring play a fundamental role in effective control and management strategies for pests and diseases. In addition, accumulated monitoring data are used for the development of new methods for monitoring, assessing impacts and developing management techniques.

To minimize the impacts of pests and diseases and provide a better understanding of the structure and processes of the management of forest ecosystems, this Special Issue is seeking studies from a broad range of research topics related to forest pests and diseases, including:

  • Report on new forest pests;
  • Monitoring;
  • Assessment;
  • Impacts;
  • Management;
  • Sustainable ecosystem management;
  • Invasive species;
  • Dispersal of invasive species;
  • Dispersal modeling;
  • Effects of climate change;
  • Habitat change;
  • Risk assessment.

Prof. Dr. Young-Seuk Park
Dr. Won Il Choi
Dr. Dae-Seong Lee
Guest Editors

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • forest management
  • invasive species
  • alien species
  • risk assessment
  • pests
  • insects
  • diseases
  • monitoring
  • assessment
  • ecology
  • effects of climate change
  • effects of environment change, outbreak, modelling

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Published Papers (1 paper)

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Research

14 pages, 3666 KB  
Article
Modeling the Climate-Driven Spread of Pine Wilt Disease for Forest Pest Risk Assessment and Management Using MaxEnt
by Manleung Ha, Chongkyu Lee and Hyun Kim
Forests 2025, 16(11), 1677; https://doi.org/10.3390/f16111677 - 3 Nov 2025
Viewed by 480
Abstract
Pine wilt disease (PWD), caused by the invasive nematode Bursaphelenchus xylophilus, poses a growing threat to East Asian coniferous forests, which is further exacerbated by climate change. While studies have successfully applied Maximum Entropy (MaxEnt) models to map the potential spread of [...] Read more.
Pine wilt disease (PWD), caused by the invasive nematode Bursaphelenchus xylophilus, poses a growing threat to East Asian coniferous forests, which is further exacerbated by climate change. While studies have successfully applied Maximum Entropy (MaxEnt) models to map the potential spread of PWD, they have primarily focused on broad spatial scales and climatic factors. This highlights the need for fine-scale, integrative modeling approaches that also account for environmental and anthropogenic factors. Therefore, we applied the MaxEnt model combined with change vector analysis to evaluate the spatial risk and potential future spread of PWD in Andong-si, Republic of Korea, under the SSP1-2.6 climate scenario. We integrated forest structure, soil conditions, topography, climate variables, and anthropogenic factors to generate high-resolution risk maps and identify the most influential environmental drivers. Notably, we demonstrated that historical infection proximity and isothermality strongly influence habitat suitability. We also, for the first time, projected an eastward shift of high-risk areas in Andong-si under future climate conditions. These findings provide timely insights for designing proactive surveillance networks, implementing risk-based monitoring, and developing climate-resilient management strategies. Our integrative modeling framework offers decision-support tools that can enhance early detection and targeted interventions against invasive forest pests under environmental change. Full article
(This article belongs to the Special Issue Management of Forest Pests and Diseases—3rd Edition)
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