Forest Monitoring and Modeling Under Climate Change
A special issue of Forests (ISSN 1999-4907). This special issue belongs to the section "Forest Inventory, Modeling and Remote Sensing".
Deadline for manuscript submissions: 25 September 2025 | Viewed by 1270
Special Issue Editors
Interests: growth response to silvicultural practices; forest management scenarios; growth models; growth and yield research
Special Issues, Collections and Topics in MDPI journals
Interests: forest resource measurements; forest growth models; forest environmental statistics
Special Issues, Collections and Topics in MDPI journals
Interests: remote sensing; forest modeling; forest inventories; artificial intelligence; forest disturbance; climate change; Google Earth Engine
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Long-term forest experiments with permanent plots and national forest inventories as well as repeated measurements have been implemented and maintained around the world. The data collected and monitored are used to understand the effects of silvicultural treatments, natural disturbance on forest dynamics, and even climate change. The data can be applied to calibrate growth and yield models to project forest dynamics under future climates and management regimes. The cost of maintaining and monitoring these plots is highly expensive in terms of monetary aspects, human resources, site maintenance, and quality controls. Meanwhile, feasible and precise models are fundamental for correctly interpreting forest stand characteristics and preparing appropriate counteractions. We face many kinds of cases in the management of forests at local, national, or worldwide scales, which may seem to be similar in other regions. The driving modeling mechanism can be a comment interest that is able to simulate future forests.
In this Special Issue, I would like to invite research scientists who work with forest monitoring and modeling under climate change based on long-term experimental data with repeated measurements. Moreover, I would welcome researchers who want to discuss a variety of conventional and new forest monitoring and modeling methods for forest management under climate change. I encourage researchers to report advantages and disadvantages, pros and cons, or strengths and pitfalls to allow our research colleagues to learn about novel ideas. By sharing knowledge and strategies, I hope that we will be able to manage our monitoring and modeling techniques more optimally and avoid unnecessary expenses and efforts.
Dr. Daesung Lee
Prof. Dr. Jungkee Choi
Dr. Saverio Francini
Guest Editors
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 100 words) can be sent to the Editorial Office for announcement on this website.
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
- long-term monitoring plots
- silvicultural interventions
- forest management scenarios
- growth and yield models
- process-based models
- stand density management
- mortality
- regeneration
- forest dynamics
- forest carbon sequestration
- climate change
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