Growth and Yield Models for Forests
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 December 2024 | Viewed by 844
Special Issue Editors
Interests: environment; remote sensing; forest modelling; forest conservation
Special Issues, Collections and Topics in MDPI journals
Interests: forest modeling; climate change; climate change impacts; forest management scenario; carbon cycle; nitrogen cycle; climate change adaptation; climate change mitigation; forest ecology
Special Issues, Collections and Topics in MDPI journals
Interests: application of geomatics to forestry; remote sensing; forest inventories and monitoring; sustainable forest management; land planning; landscape ecology; biodiversity; forest fires and climate change; bio-geo-chemical models; decision support systems; forest ecology
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
This Special Issue aims to publish original research papers on forest growth modeling and yields amidst evolving environments, alongside review articles that extensively examine the current assessment of forest growth and yields.
Forests are critical in addressing global issues of sequestering carbon while providing renewable materials, energy, and ecosystem services. Reliable forest stand dynamics, growth, and yield models are required, including stand-level, tree-level, and spatial modeling. Contributions to this Special Issue are encouraged in all aspects of growth and yield modeling, including data collection and analysis, yield tables and allometric equations, parametric and non-parametric approaches, including empirical and process-based models, and model calibration and validation. All forest types, ranging from monoculture plantations to mixed natural stands, are of interest. Seeding, regeneration, recruitment, competition dynamics, and mortality (including biotic and abiotic disturbances) are fundamental parts of the forest ecosystem cycle and are often not considered in model development due to their complex interactions and feedback. Research focused on these key processes is encouraged, as is error assessment and its partitioning in each system compartment, which may provide insight and guidance on future efforts in growth and yield model development.
Dr. Elia Vangi
Dr. Alessio Collalti
Prof. Dr. Gherardo Chirici
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
- forest growth and yield
- model calibration and evaluation
- forest management
- growth models
- biomass and carbon
- seeding
- regeneration
- recruitment
- mortality
- site productivity
- climate change and drought
- disturbance impacts
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