Applications of Modeling and Simulation in Forest Management 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: 31 March 2027 | Viewed by 81
Editors
Interests: growth response to silvicultural practices; forest management scenarios; growth models; growth and yield
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
Special Issue Information
Dear Colleagues,
Climate change is rapidly progressing, bringing profound impacts on forest ecosystems, their management and silvicultural planning. The increasing frequency and intensity of extreme weather events such as droughts, heatwaves and storms present new challenges for sustainable forest management.
In response, forest biometricians and growth-and-yield modelers are actively working to incorporate these climate-related effects into models and simulation frameworks. Process-based models such as the physiological processes predicting growth (3-PG) have been widely applied to explore the interactions between forest productivity and environmental variables, but substantial uncertainties still exist. Further research is needed to integrate climate change factors into growth and yield forecasting, improve simulation accuracy and reduce model uncertainty.
This Special Issue aims to present new findings, methodologies and applications related to forest modeling and simulation under changing climate conditions. We welcome studies addressing the development, validation and application of models that account for climate variables, explore forest responses under RCP scenarios and support adaptive forest management strategies.
Potential topics include (but are not limited to) the following:
- New approaches for linking empirical growth simulators with process-based models (e.g., 3-PG)
- National- or regional-scale growth and yield scenario analyses
- Modeling forest structural changes under various climate pathways (RCPs)
- Integration of climate and environmental variables in growth and yield models
- Effects of climatic factors on tree and stand dynamics
- Simulation-based decision support tools for adaptive forest management under climate change
- Evaluation of model uncertainty and parameter sensitivity under climate change conditions
Dr. Daesung Lee
Prof. Dr. Jungkee Choi
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 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-anonymized 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
- growth and yield
- climate change
- process-based models
- RCP scenarios
- forest carbon
- forest growth simulation
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