Forest Management, Stand Dynamics and Modelling
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Earth Sciences".
Deadline for manuscript submissions: closed (30 June 2022) | Viewed by 5262
Special Issue Editors
Interests: statistical modeling; mathematical statistics; mathematical programming; environmental modeling
Interests: forestry; silviculture; modeling; biomass; stand structure
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Forests occupy vast areas around the world and provide a wide range of products and services. The perpetuity and sustainability of the stands and forests as well as their products and services imply their continuity in time and space. The new directions of forest management, which place emphasis on forest systems with several productions and services, entail several challenges to management. Additionally, stands and forests are characterized by their long cycles; thus, stand dynamics and modeling are of primordial importance to evaluate and predict the development of the stands as well as their sustainability and productions, especially in the frame of climate change.
Interactions in forest systems range from relatively simple to extremely complex, deriving from a wide range of modeling approaches to stand dynamics and forest management. Modeling is of utmost importance as models and simulators enable both the evaluation of growth, stand dynamics, and forest management practices and the development of new management approaches. Due to the forest stands’ complexity, a multidisciplinary approach is frequently necessary to bridge the features under evaluation.
Overall, it is intended that the studies of this Special Issue encompass the following subjects: stand structure, silvicultural practices (from regeneration to harvest), conversion and transformation, modeling, growth, competition, production, spatial distribution, diversity, sustainability, system resilience, abiotic agents, and biotic agents. These may be addressed using the full range of statistical models (e.g., regression methods, design of experiments, cluster analysis, mixed models, artificial intelligence, artificial neural networks).
This Special Issue receives the support of the MSCA-RISE-2020 - Research and Innovation Staff Exchange project DecisionES Decision Support for the Supply of Ecosystem Services under Global Change (https://cordis.europa.eu/project/id/101007950)
Prof. Manuela Oliveira
Prof. Ana Cristina Gonçalves
Guest Editors
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Keywords
- Stand structure
- Silvicultural practices (from regeneration to harvest)
- Conversion and transformation
- Modeling
- Growth
- Competition
- Production
- Spatial distribution
- Diversity
- Sustainability
- System resilience
- Abiotic agents
- Biotic agents
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