| Title |
Forest information modeling: a novel approach to sustainable forest management |
| Authors |
Damaševičius, Robertas ; Maskeliūnas, Rytis |
| DOI |
10.4108/eetsis.7811 |
| Full Text |
|
| Is Part of |
EAI Endorsed transactions on scalable information systems.. Ghent : European Alliance for Innovation. 2025, vol. 12, iss. 6, p. 1-12.. ISSN 2032-9407 |
| Keywords [eng] |
Forest Information Modeling ; Ecosystem services ; Smart forestry ; Forest 4.0 ; forest management ; information systems ; forest data analysis |
| Abstract [eng] |
This research introduces Forest Information Modeling (FIM) as an innovative approach to sustainable forest management. FIM is depicted as a comprehensive digital framework that integrates various data layers and technologies to enhance the efficiency, accuracy, and sustainability of forest management practices. Key components of FIM include ecological data collection, spatial representation, process modeling, decision support systems, and stakeholder engagement, all aimed at facilitating informed decision-making and efficient resource utilization. The study explores the theoretical underpinnings of FIM, its practical applications through case studies, and the construction of FIM using real-world datasets. Practical illustration using the Biomass tree data base is presented. The study addresses the challenges, potential impacts, and future directions of FIM in the context of global forest management and conservation efforts. The findings underscore FIM’s potential to transform forest management practices by improving decision-making processes, promoting environmental sustainability, and fostering stakeholder collaboration. |
| Published |
Ghent : European Alliance for Innovation |
| Type |
Journal article |
| Language |
English |
| Publication date |
2025 |
| CC license |
|
