Reviews on Innovative Monitoring and Diagnostics for Forest Health
A special issue of Forests (ISSN 1999-4907). This special issue belongs to the section "Forest Health".
Deadline for manuscript submissions: 31 March 2026 | Viewed by 995
Special Issue Editor
Interests: ecological modeling; community ecology; ecosystem monitoring and assessment; invasion biology; aquatic ecosystem management
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Forests around the world are facing increasing threats from a combination of both natural and anthropogenic disturbances, including climate change, invasive species, pests, pathogens, pollution, and land use change. These factors interact in complex ways and present challenges that necessitate advanced approaches for the early detection, monitoring, and diagnosis of forest health to support sustainable management and conservation strategies.
This Special Issue aims to garner cutting-edge research and reviews that demonstrate innovative technologies, methodologies, and interdisciplinary approaches for forest health assessment. Emphasis will be placed on novel diagnostics, sensor-based monitoring, artificial intelligence, data fusion, and early-warning systems that improve forest resilience and decision making.
This Special Issue seeks reviews of topics pertaining (but not limited) to the following areas:
- The remote sensing and UAV-based monitoring of forest health.
- AI and machine learning in disease/pest detection and forest condition classification.
- In situ sensor networks for real-time forest diagnostics (e.g., for moisture, temperature, CO2, VOCs).
- Early-warning systems for forest pests and diseases.
- Digital phenotyping and bio-indicators for stress detection.
- Molecular and genomic diagnostics for identifying pathogens and pests.
- Forest health data integration platforms and cloud-based monitoring tools.
- Citizen science and participatory monitoring approaches.
- The policy, management implications, and scalability of innovative monitoring systems.
This Special Issue aims to serve as a comprehensive resource for forest managers, ecologists, researchers, and policymakers. By highlighting current advancements and real-world applications, it hopes to foster cross-sector collaboration and inform actionable strategies for proactive forest health management in an era of environmental uncertainty.
Prof. Dr. Young-Seuk Park
Guest Editor
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Forests is an international peer-reviewed open access monthly journal published by MDPI.
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 health
- pest
- pathogen
- climate change
- disturbance
- management
- policy
- monitoring
- methods
- innovative approach
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