Forest Information Modeling: A Novel Approach to Sustainable Forest Management
DOI:
https://doi.org/10.4108/eetsis.7811Keywords:
Forest Information Modeling, Ecosystem Services, Smart Forestry, Forest 4.0, forest management, information systems, forest data analysisAbstract
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.
References
[1] Feng, Y. and Audy, J. (2020) Forestry 4.0: a framework for the forest supply chain toward industry 4.0. Gestão & Produção 27(4).
[2] Sahal, R., Alsamhi, S., Breslin, J. and Ali, M. (2021) Industry 4.0 towards forestry 4.0: Fire detection use case †. Sensors (Basel, Switzerland) 21(3).
[3] Okewu, E., Misra, S., Maskeliunas, R., Damaşeviçius, R. and Fernandez-Sanz, L. (2017) Optimizing green computing awareness for environmental sustainability and economic security as a stochastic optimization problem. Sustainability (Switzerland) 9(10).
[4] Torresan, C., Benito Garzón, M., O’Grady, M., Robson, T.M., Picchi, G., Panzacchi, P., Tomelleri, E. et al. (2021) A new generation of sensors and monitoring tools to support climate-smart forestry practices. Canadian Journal of Forest Research 51(12): 1751–1765.
[5] Reischl, D.A. and Uhl, E. (2021) Carbon smart forestry under climate change. The Project Repository Journal 10(1): 96–99.
[6] Nitoslawski, S.A., Galle, N.J., van den Bosch, C.K. and Steenberg, J. (2019) Smarter ecosystems for smarter cities? a review of trends, technologies, and turning points for smart urban forestry. Sustainable Cities and Society 51.
[7] Hallberg-Sramek, I., Reimerson, E., Priebe, J., Nordström, E.M., Mårald, E., Sandström, C. and Nordin, A. (2022) Bringing “climate-smart forestry” down to the local level—identifying barriers, pathways and indicators for its implementation in practice. Forests 13: 98.
[8] Bowditch, E. et al. (2020) What is climate-smart forestry? A definition from a multinational collaborative process focused on mountain regions of Europe. Ecosystem Services .
[9] Santopuoli, G., Temperli, C., Alberdi, I., Barbeito, I., Bosela, M., Bottero, A., Klopčič, M. et al. (2021) Paneuropean sustainable forest management indicators for assessing climate-smart forestry in Europe. Canadian Journal of Forest Research 51(12): 1741–1750.
[10] Nitschke, C.R. and Innes, J.L. (2008) Integrating climate change into forest management in south-central British Columbia: An assessment of landscape vulnerability and development of a climate-smart framework. Forest Ecology and Management 256(3): 313–327.
[11] Mondejar, M.E., Avtar, R., Diaz, H.L.B., Dubey, R.K., Esteban, J., Gómez-Morales, A., Hallam, B. et al. (2021) Digitalization to achieve sustainable development goals: Steps towards a smart green planet. Science of The Total Environment 794: 148539.
[12] Torresan, C., Benito Garzón, M., O’grady, M., Robson, T.M., Picchi, G., Panzacchi, P., Tomelleri, E. et al. (2021) A new generation of sensors and monitoring tools to support climate-smart forestry practices. Canadian Journal of Forest Research 51(12): 1751–1765.
[13] Lechner, A.M., Foody, G.M. and Boyd, D.S. (2020) Applications in remote sensing to forest ecology and management. One Earth 2(5): 405–412.
[14] Tang, L. and Shao, G. (2015) Drone remote sensing for forestry research and practices. Journal of forestry research 26: 791–797.
[15] Sonti, S. (2015) Application of geographic information system (gis) in forest management. Journal of Geography & Natural Disasters 5(3): 1000145.
[16] Mekonnen, M., Sewunet, T., Gebeyehu, M., Azene, B. and Melesse, A.M. (2016) Gis and remote sensing-based forest resource assessment, quantification, and mapping in Amhara region, Ethiopia. Landscape dynamics, soils and hydrological processes in varied climates : 9–29.
[17] Gabrys, J. (2020) Smart forests and data practices: From the internet of trees to planetary governance. Big data & society 7(1): 2053951720904871.
[18] Sellén, D. (2016), Big data analytics for the forest industry: A proof-of-concept built on cloud technologies, Master Thesis, Mid Sweden University.
[19] Nikolakis, W., John, L. and Krishnan, H. (2018) How blockchain can shape sustainable global value chains: an evidence, verifiability, and enforceability (eve) framework. Sustainability 10(11): 3926.
[20] Picchio, R., Proto, A.R., Civitarese, V., Di Marzio, N. and Latterini, F. (2019) Recent contributions of some fields of the electronics in development of forest operations technologies. Electronics 8(12): 1465.
[21] Lechner, A.M., Foody, G.M. and Boyd, D.S. (2020) Applications in remote sensing to forest ecology and management. One Earth 2(5): 405–412.
[22] Kanga, S. (2023) Advancements in remote sensing tools for forestry analysis. Sustainable Forestry 6(1).
[23] Li, X., Chen, W.Y., Sanesi, G. and Lafortezza, R. (2019) Remote sensing in urban forestry: Recent applications and future directions. Remote. Sens. 11: 1144.
[24] Talbot, B., Pierzchala, M. and Astrup, R. (2017) Applications of remote and proximal sensing for improved precision in forest operations. Croatian Journal of Forest Engineering : Journal for Theory and Application of Forestry Engineering 38: 327–336.
[25] Blanco, J.A., Ameztegui, A. and Rodríguez, F. (2020) Modelling forest ecosystems: a crossroad between scales, techniques and applications. Ecological Modelling 425: 109030.
[26] Borrmann, A., König, M., Koch, C. and Beetz, J. (2018), Building information modeling: Why? what? how?, Building Information Modeling.
[27] Kant, S. (2003) Extending the boundaries of forest economics. Forest Policy and Economics 5: 39–56.
[28] Mendoza, G. and Vanclay, J. (2008) Trends in forestry modelling. Cab Reviews: Perspectives in Agriculture, Veterinary Science, Nutrition and Natural Resources 3.
[29] Korzukhin, M., Ter-Mikaelian, M. and Wagner, R. (1996) Process versus empirical models: which approach for forest ecosystem management? Canadian Journal of Forest Research 26: 879–887.
[30] Albers, H., Fisher, A. and Hanemann, W. (1996) Valuation and management of tropical forests. Environmental and Resource Economics 8: 39–61.
[31] Chen, J. et al. (2020) Using machine learning to synthesize spatiotemporal data for modelling dbhheight and dbh-height-age relationships in boreal forests. Forest Ecology and Management 466: 118104.
[32] Ansary, M. et al. (2020) Technocenosis paradigm sustainability management of a forest enterprise. IOP Conference Series: Earth and Environmental Science 595.
[33] Schepaschenko, D., Shvidenko, A., Usoltsev, V.A., Lakyda, P., Luo, Y., Vasylyshyn, R., Lakyda, I. et al. (2017), Biomass tree data base, PANGAEA.
[34] Schepaschenko, D., Shvidenko, A., Usoltsev, V., Lakyda, P., Luo, Y., Vasylyshyn, R., Lakyda, I. et al. (2017) A dataset of forest biomass structure for Eurasia. Scientific Data 4(1).
Downloads
Published
Issue
Section
License
Copyright (c) 2025 Robertas Damasevicius , Rytis Maskeliunas
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
This is an open access article distributed under the terms of the CC BY-NC-SA 4.0, which permits copying, redistributing, remixing, transformation, and building upon the material in any medium so long as the original work is properly cited.
