Research Advances in Management and Planning of Forest Operations
A special issue of Forests (ISSN 1999-4907). This special issue belongs to the section "Forest Operations and Engineering".
Deadline for manuscript submissions: 28 February 2025 | Viewed by 220
Special Issue Editors
Interests: pinus sylvestris; element content; nutrient accumulation; aboveground biomass; stand density; carbon sequestration; forest management
Interests: forest mechanisation; skid trails; timber extraction; forest transport and logistics
Interests: mathematics and biostatistics
Interests: forest mechanization; skid trails; timber extraction; forest transport and logistics
Special Issue Information
Dear Colleagues,
Forests play a multitude of roles in modern society, some of which might seem contradictory. The provision of raw materials to the economy must be balanced with the provision of environmental services and respect for human well-being. The proper planning of forestry operations assists in both aspects, as it allows for the effective and timely execution of work, while minimising the adverse impact on the environment. The integration of sensors and data transfer has enabled forestry machines to become components of the Internet of Things, facilitating the efficient and precise management of the whole supply chain. However, the forest environment presents unique challenges for IT solutions due to its extreme conditions and remote locations, as well as the limitations of personal training. A further challenge is the quantity of data, which necessitates the utilisation of sophisticated machine learning methodologies for analysis.
We welcome submissions on the current state of and potential advances in the utilisation of modern technologies in forestry operations. Topics of interest include, but are not limited to, the following:
- Productivity of forest works: analysis and optimisation;
- The use of simulations for the optimal design of supply chains;
- Data transfer amongst the actors of forest supply chains and use of StanForD2010;
- Precision forestry;
- The environmental impact of forest operations and organisational remedies;
- Possibilities of automation or remote operation;
- Human factors: ergonomic aspects of forest works and the need for training;
- Challenges and limitations of technical developments in forestry.
Dr. Krzysztof Polowy
Prof. Dr. Witold Grzywiński
Dr. Marta Molińska-Glura
Dr. Włodzimierz Stempski
Dr. Bartłomiej Naskrent
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 mechanisation
- timber extraction
- forest operations
- precision forestry
- optimisation
- simulation
- Internet of Things
- StanForD2010
- ergonomics
- big data
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