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A combined multi-criteria approach to assess forest management sustainability: an application to the forests of Eastern Macedonia & Thrace Region in Greece

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Abstract

Sustainable forest management should be pursued in all public forests of the EU countries, as this constitutes a legal requirement within the frame of the FOREST EUROPE policy. However, the forest management sustainability assessment process is a complex task, mainly because it involves integration of multiple environmental, socio-economic and institutional impacts at different spatial scales of different forest management policies, which are considered for implementation at any forest location. Moreover, the conflicts and interests of the various stakeholders related to the forest resources should be included in the assessment process. Much of the on-going research, therefore, focuses on the development of tools that can facilitate the integration of the different type of forest resource impacts and conflicts towards achievement of forest management sustainability. This paper presents a multi-criteria approach, which combined spatial analysis, Geographic Information Systems (GIS), the Analytic Hierarchy Process (AHP), spatially referenced impact indicator models for pairwise comparisons, the fuzzy extent analysis, fuzzy preference programming and the ideal solution concept in order to assess the performance of forest management sustainability at regional level. The combined multi-criteria approach was successfully implemented to the forests of Eastern Macedonia and Thrace Region in northern Greece through the operation of the National Forest Governance Council. Seven forest management policies were subjected to sustainability assessment and an Overall Forest Sustainability Performance Index (OFSPI) was calculated for each one of them. The final ranking of the forest management policies was based on their OFSPI values. Furthermore, sensitivity analysis was conducted to explore robustness of the final solution.

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References

  • Alfandari, L., Lemalade, J. L., Nagih, A., & Plateau, G. (2011). A MIP flow model for crop-rotation planning in a context of forest sustainable development. Annals of Operations Research, 190, 149–164.

    Google Scholar 

  • Allende, S., Bouza, C., & Covarubias, D. (2014). Optimal post-stratification for the study of sustainability: An application to the monitoring of diversity in Sierra de Guerrero. Annals of Operations Research, 219, 317–331.

    Google Scholar 

  • Aminuddin, A. S. A., & Nawawi, M. K. M. (2015). Consistency of crisp and fuzzy pairwise comparison matrix using fuzzy preference programming. AIP Conference Proceedings, 1635, 520. https://doi.org/10.1063/1.490363.

    Article  Google Scholar 

  • Beynon, M. J. (2005). Understanding local ignorance and non-specificity within the DS/AHP method of multi-criteria decision- making. European Journal of Operational Research, 16(2), 403–417.

    Google Scholar 

  • Bertuzzi-Leonelli, R.C. (2012). Enhancing a decision support tool with sensitivity analysis. M.Sc. thesis, University of Manchester, UK.

  • Bilbao-Terol, A., Jimenez, M., & Arenas-Parra, M. (2016). A group decision making model based on goal programming with fuzzy hierarchy: An application to regional forest planning. Annals of Operations Research, 245, 137–162.

    Google Scholar 

  • Birendra, K. C., Stainback, G. A., & Chhetri, B. B. K. (2014). Community users’ and experts’ perspective on community forestry in Nepal: a SWOT-AHP analysis. Forests, Trees and Livelihoods, 23(4), 217–231.

    Google Scholar 

  • Buckley, J. J., Feuring, T., & Hayashi, Y. (2001). Fuzzy hierarchical analysis revisited. European Journal of Operational Research, 12(1), 48–64.

    Google Scholar 

  • Chang, D. Y. (1996). Applications of the extent analysis method on fuzzy AHP. European Journal of Operational Research, 95, 649–655.

    Google Scholar 

  • Chen, H., & Kocaoglu, D. F. (2008). A sensitivity analysis algorithm for hierarchical decision models. European Journal of Operational Research, 185(1), 266–288.

    Google Scholar 

  • Chen, S., & Hwang, C. L. (1992). Fuzzy multiple attribute decision making: Methods and applications. Lecture notes in economics and mathematical systems. Berlin: Springer.

    Google Scholar 

  • Cheng, T., & Molenaar, M. (1999). Diachronic analysis of fuzzy objects. GeoInformatica, 3(4), 337–355.

    Google Scholar 

  • Chwolka, A., & Raith, M. G. (2001). Group preference aggregation with the AHP—implications for multiple-issue agendas. European Journal of Operational Research, 132, 176–186.

    Google Scholar 

  • Choo, C. C., & Yu, K. W. (2013). Application of a new hybrid fuzzy AHP model to the location choice. Mathematical Problems in Engineering, Hindwai, 2013, 12. https://doi.org/10.1155/2013/592138.

    Article  Google Scholar 

  • Cirstea, S. D., Moldovan-Teselios, C., Cirstea, A., Turcu, A. C., & Pompei Darab, C. (2018). Evaluating renewable energy sustainability by composite index. Sustainability, 2018(10), 811.

    Google Scholar 

  • Dağdeviren, M., & Yüksel, J. (2008). Developing a fuzzy analytic hierarchy process (AHP) model for behavior-based safety management. Information Sciences, 178(6), 1717–1733.

    Google Scholar 

  • De Korvin, A., & Kleyle, R. (1999). Fuzzy analytical hierarchical processes. Journal of Intelligent and Fuzzy Systems, 7, 387–400.

    Google Scholar 

  • Deng, H. (1999). Multicriteria analysis with fuzzy pairwise comparison. International Journal of Approximate Reasoning, 21, 215–231.

    Google Scholar 

  • Derak, M., & Cortina, J. (2014). Multi-criteria participative evaluation of Pinus halepensis plantations in a semiarid area of southeast Spain. Ecological Indicators, 43, 56–68.

    Google Scholar 

  • Dubois, D., & Prade, H. (1988). Possibility theory. An approach to computerized processing of uncertainty. New York: Plenum Press.

    Google Scholar 

  • Dursun, P., & Kaya, T. (2010). Fuzzy multiple criteria sustainability assessment in forest management based on an integrated AHP-TOPSIS methodology. In D. Ruan, T. Li, Y. Xu, G. Chen, & E. E. Kerre (Eds.), Computational intelligence foundations and applications. Proceedings of the 9th international FLINS conference. Proceedings series on computer engineering and information science (Vol. 4). Singapore: World Scientific.

    Google Scholar 

  • Ertuğrul I. & Karakaşoğlu N. (2006). The fuzzy analytic hierarchy process for supplier selection and an application in a textile company. Proceedings of 5th International Symposium on Intelligent Manufacturing Systems 29–31, 2006: 195–204.

  • European Commission, (2013). A new EU Forest Strategy: For Forests and the Forest-based Sector. European Commission, Brussels. https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri-CELEX:52013DC0659.

  • Farrell, E. P., Führer, E., Ryan, D., Anderson, F., Hüttl, R., & Piussi, P. (2000). European forest ecosystems: Building the future on the legacy of the past. Forest Ecology and Management, 132, 5–20.

    Google Scholar 

  • Gharis, L., Roise, J., & McCarter, J. (2015). A compromise programming model for developing the cost of including carbon pools and flux into forest management. Annals of Operations Research, 232, 115–133.

    Google Scholar 

  • Gomez, T., Hernandez, M., Molina, J., León, M. A., Aldana, E., & Caballero, R. C. (2011). A multi-objective model for forest planning with adjacency constraints. Annals of Operations Research, 190, 75–92.

    Google Scholar 

  • Hasle, G., Haavardtun, J., Kloster, O., & Lokketangen, A. (2000). Interactive planning for sustainable forest management. Annals of Operations Research, 95, 19–40.

    Google Scholar 

  • Ioannou, K., Tsantopoulos, G., Arabatzis, G., Andreopoulou, Z., & Zafeiriou, E. (2018). A spatial decision support system framework for the evaluation of biomass energy production locations: case study in the regional unit of Drama, Greece. Sustainability, 2018(10), 531.

    Google Scholar 

  • Isik, Z., & Aladag, H. (2017). A fuzzy AHP model to assess sustainable performance of the construction industry from urban regeneration perspective. Journal of Civil Engineering and Management, 23(4), 499–509.

    Google Scholar 

  • Jalilova, G., Khadka, C., & Vacik, H. (2012). Developing criteria and indicators for evaluating sustainable forest management: A case study in Kyrgyzstan. Forest Policy and Economics, 21, 32–43.

    Google Scholar 

  • Jie, L. H., Meng, M. C., & Cheong, C. W. (2006). Web based fuzzy multicriteria decision making tool. International Journal of the Computer, the Internet and Management, 14(2), 1–14.

    Google Scholar 

  • John, R. S., & Tóth, S. F. (2015). Spatially explicit forest harvest scheduling with difference equations. Annals of Operations Research, 232, 235–257.

    Google Scholar 

  • Kazaklis, A., Kazana, V., Stamatiou, C., Raptis D., Koutsona P.& Boutsimea, A. (2014). Forest Landscape Systems of Greece. INFORM-LIFE/Eastern Macedonia & Thrace Institute of Technology/ Ministry of Environment, Energy and Climate Change. https://www.inform-life.grpdf. Accessed 6 August 2019.

  • Kazana, V., Fawcett, R. H., & Mutch, W. E. S. (2003). A decision support modelling framework for multiple use forest management: The Queen Elizabeth forest case study in Scotland. European Journal of Operational Research, 148, 102–115.

    Google Scholar 

  • Kazana, V., Kazaklis, A., Boutsimea, A., Stamatiou, C., Koutsona, P., & Raptis, D. (2014). Policy impact assessment for Sustainable Forest Management in Greece. INFORM-LIFE/ Eastern Macedonia & Thrace Institute of Technology/Ministry of Environment, Energy and Climate Change, https://www.inform-life.grpdf. Accessed 6 August 2019.

  • Kazana, V., Kazaklis, A., Stamatiou, C., Koutsona, P., Boutsimea, A., & Fotakis, D. (2015). SWOT analysis for sustainable forest policy and management: A Greek case study. International Journal of Information and Decision Sciences, 7(1), 32–50.

    Google Scholar 

  • Kazana, V., Kazaklis, A., Raptis, D. & Stamatiou, C. (2017). A multi-criteria fuzzy AHP approach for assessing forest management sustainability: A Greek case study. Proceedings of the 6th International Symposium & 28th National Conference on Operational Research—OR in the digital era- ICT Challenges, University of Macedonia, Thessaloniki, Greece, June 8–10, 2017.

  • Kangas, J., & Kangas, A. (2005). Multiple criteria decision support in forest management—The approach, methods applied and experiences gained. Forest Ecology and Management, 207(1–2), 133–143.

    Google Scholar 

  • Kaya, T., & Kahraman, C. (2010). Multicriteria renewable energy planning using an integrated VIKOR and AHP methodology. The case of Instabul. Energy, 35, 2517–2527.

    Google Scholar 

  • Kaya, T., & Kahraman, C. (2011). Fuzzy multiple criteria forestry decision making based on an integrated VIKOR and AHP approach. Expert Systems with Applications, 38, 7326–7333.

    Google Scholar 

  • Kurttila, M., Pesonen, M., Kangas, J., & Kajanus, M. (2000). Utilizing the analytic hierarchy process (AHP) and SWOT analysis—a hybrid method and its application to a forest-certification case. Forest Policy and Economics, 1(1), 41–52.

    Google Scholar 

  • Li, X., & Zhang, Q. (2015). AHP-based resources and environment efficiency evaluation index system construction about the west side of Taiwan Straits. Annals of Operations Research, 228, 97–111.

    Google Scholar 

  • Lindner, M., Suominen, T., Palosuo, T., Garcia-Gonzalo, J., Verweij, P., Zudin, S., et al. (2010). ToSIA—A tool for sustainability impact assessment of forest wood-chains. Ecological Modelling, 221(18), 2197–2205.

    Google Scholar 

  • Lepetu, J. P. (2012). The use of analytic hierarchy process (AHP) for stakeholder preference analysis: A case study from Kasane Forest Reserve, Botswana. Journal of Soil Science and Environmental Management, 3(10), 237–251.

    Google Scholar 

  • Lai, V. S., Wong, B. K., & Cheung, W. (2002). Group decision making in a multiple criteria environment: A case using the AHP in software selection. European Journal of Operational Research, 137, 134–144.

    Google Scholar 

  • Leung, L. C., & Cao, D. (2001). On the efficacy of modeling multi-attribute decision problems using AHP and Sinarchy. European Journal of Operational Research, 132, 39–49.

    Google Scholar 

  • Malesios, C., Prasanta, K. D., & Abdelaziz, F. B. (2018). Supply chain sustainability performance measurement of small and medium sized enterprises using structural equation modeling. Annals of Operations Research. https://doi.org/10.1007/s10479-018-3080-2.

    Article  Google Scholar 

  • Martín-Fernández, S., & Martinez-Falero, E. (2018). Sustainability assessment in forest management based on individual preferences. Journal of Environmental Management, 206, 482–489.

    Google Scholar 

  • Martínez-Vega, J., Mili, S., & Echavarría, P. (2016). Assessing forest sustainability: Evidence from Spanish provinces. Geoforum, 70, 1–10.

    Google Scholar 

  • MCPFE, (1993). Ministerial Conference on Protection of Forests of Europe. Conference Proceedings, Ministry of Agriculture and Forestry, Helsinki, Finland.

  • MCPFE. (2003). Improved pan-European indicators for sustainable forest management. Vienna: MCPFE Liaison Unit.

    Google Scholar 

  • Margles, S. W., Masozera, M., Rugyerinyange, L., & Kaplin, B. A. (2010). Participatory planning: Using SWOT-AHP analysis in buffer zone management planning. Journal of Sustainable Forestry, 29(6–8), 613–637.

    Google Scholar 

  • Mehta, D., Baweja, P. K., & Aggarwal, R. K. (2018). Forest fire risk assessment using fuzzy analytic hierarchy process. Current World Environment, 13(3), 307–316.

    Google Scholar 

  • Mendoza, G. A., & Prabhu, R. (2004). Fuzzy methods for assessing criteria and indicators of sustainable forest management. Ecological Indicators, 3(4), 227–236.

    Google Scholar 

  • Mikhailov, L. (2003). Deriving priorities from fuzzy pairwise comparison judgements. Fuzzy Sets and Systems, 134, 365–385.

    Google Scholar 

  • Mohammadi, Z., & Limaei, S. M. (2018). Multiple criteria decision-making approaches for forest sustainability (Case study: Iranian Caspian Forests). Forest Research, 7, 215.

    Google Scholar 

  • Mohammed, A. (2019). Towards a sustainable assessment of suppliers: An integrated fuzzy TOPSIS-possibilistic multi-objective approach. Annals of Operations Research. https://doi.org/10.1007/s-10479-019-03167-5.

    Article  Google Scholar 

  • Nechi, S., Aouni, B., & Mrabet, Z. (2019). Managing sustainable development through goal programming model and satisfaction functions. Annals of Operations Research. https://doi.org/10.1007/s10479-019-03139-9.

    Article  Google Scholar 

  • Nie, H.E., Diao, S.J., Liu, J.X. & Hwang, H. (2001). The application of a remote sensing technique and AHP-fuzzy method in comprehensive analysis and assessment for regional stability of Chongoing city, China. Proceedings of the 22nd Asian Conference on Remote Sensing, Vol.1, Centre for Remote Imaging, Sensing and Processing (CRISP), National University of Singapore, Singapore Institute of Surveyors and Valuers (SISV) and Asian Association on Remote Sensing (AARS), Singapore, 660–665.

  • Perez-Rodriguez, F., & Rojo-Alboreca, A. (2012). Forestry application of the AHP by use of MPC software. Forest Systems, 21(3), 418–425.

    Google Scholar 

  • Ramanathan, R. (2001). A note on the use of the Analytic Hierarchy Process for environmental impact assessment. Journal of Environmental Management, 63, 27–35.

    Google Scholar 

  • Nilsson, H., Nordström, E. M., & Ohman, K. (2016). Decision support for participatory forest planning using AHP and TOPSIS. Forests, 7(5), 100. https://doi.org/10.3390/f7050100.

    Article  Google Scholar 

  • Saaty, T. L. (1980). The analytic hierarchy process. New York: McGraw Hill.

    Google Scholar 

  • Salehnasab, A., Feghi, J., Danekar, A., Soosani, J., & Dastranj, A. (2016). Forest park site selection based on a fuzzy analytic hierarchy process framework (case study: The Gategol Basin, Lorestan province, Iran). Journal of Forest Science, 62(6), 253–263.

    Google Scholar 

  • Santoyo-Castelazo, E., & Azapagic, A. (2014). Sustainability assessment of energy systems: Integrating environmental, economic and social aspects. Journal of Cleaner Production, 80, 119–138.

    Google Scholar 

  • Sharma, L. K., Kanga, S., Nathawat, M. S., Sinha, S., & Pandey, P. C. (2012). Fuzzy AHP for forest fire risk modeling. Disaster Prevention and Management, 21(2), 160–171.

    Google Scholar 

  • Shewell, P., & Migiro, S. (2016). Data envelopment analysis in performance measurement: A critical analysis of the literature. Problems and Perspectives in Management, 14(3), 705–713.

    Google Scholar 

  • Shrestha, R. K., Alavalapati, J. R. R., & Kalmbacher, R. S. (2004). Exploring the potential for silvopastoral adoption in south-central Florida: An application of SWOT-AHP method. Agricultural Systems, 81, 185–199.

    Google Scholar 

  • Siraj, S. (2011). Preference elicitation from pairwise comparisons in multi-criteria decision making. Ph.D. thesis, University of Manchester, UK, 163p.

  • Siraj, S., Mikhailov, L., & Keane, J. (2015). PriEST: an interactive decision support tool to estimate priorities from pairwise comparison judgements. International Transactions in Operations Research, 22, 217–235.

    Google Scholar 

  • Tecle, A. (2018). Analytic Hierarchy Process application for multiple purpose forest resources management budget allocation in Durango Mexico. International Journal of the Analytic Hierarchy Process, 10(1), 39–63.

    Google Scholar 

  • UN. (1992). Agenda 21. United Nations Conference on Environment and Development, Rio de Janeiro, Brazil, 3–4 June 1992. http://sustainabledevelopment.un.org/content/documents/Agenda21.pdf.

  • Venema, H. D., & Calamai, P. H. (2003). Bioenergy systems planning using location-allocation and landscape ecology design principles. Annals of Operations Research, 123, 241–264.

    Google Scholar 

  • Wang, Y. M., Luo, Y., & Hua, Z. (2008). On the extent analysis method for fuzzy AHP and its application. European Journal of Operational Research, 186, 735–747.

    Google Scholar 

  • Wedley, W. C., Choo, E. U., & Schoner, B. (2001). Magnitude adjustment for AHP benefit/cost ratios. European Journal of Operational Research, 133, 342–351.

    Google Scholar 

  • Wei, R., & Murray, A. (2015). Spatial uncertainty in harvest scheduling. Annals of Operations Research, 232, 275–289.

    Google Scholar 

  • Wolfslener, B., Vacik, H., & Lexer, M. J. (2005). Application of the analytic network process in multi-criteria analysis of sustainable forest management. Forest Ecology and Management, 207(1–2), 157–170.

    Google Scholar 

  • Yuen, K. K. F. (2012). Membership maximization prioritization method for fuzzy analytic hierarchy process. Fuzzy Optimization and Decision Making, 11, 113–133.

    Google Scholar 

  • Zadeh, L. A. (1965). Fuzzy Sets and Control. Information and Control, 8, 338–353.

    Google Scholar 

  • Zadeh, L. A. (1975). The concept of a linguistic variable and its application to approximate reasoning. Journal of Information Science, 8, 199–249.

    Google Scholar 

  • Zadeh, L. A. (1996). Fuzzy logic: Computing with words. IEEE Transactions on Fuzzy Systems, 4(2), 103–111.

    Google Scholar 

  • Zandebarisi, M., Ghazanfari, H., Abbasi, R., & Sayad, E. (2012). The use of fuzzy pairwise comparisons to determine the most important factors of forest management plan in Iran. Schorarly Journal of Agricultural Science, 2(9), 217–223.

    Google Scholar 

  • Zeleny, M. (1981). Multiple criteria decision making. New York: McGraw Hill.

    Google Scholar 

  • Zhang, H., Constantino, M., & Falcão, A. (2011). Modelling forest core area with integer programming. Annals of Operations Research, 190, 41–55.

    Google Scholar 

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Acknowledgements

The work reported in this article has been carried out with funding from the EU LIFE Programme through the INFORM project, LIFE08/ ENV/ GR/000574 and co-financing from the Hellenic Ministry of Environment & Energy and the Eastern Macedonia & Thrace Institute of Technology.

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Kazana, V., Kazaklis, A., Raptis, D. et al. A combined multi-criteria approach to assess forest management sustainability: an application to the forests of Eastern Macedonia & Thrace Region in Greece. Ann Oper Res 294, 321–343 (2020). https://doi.org/10.1007/s10479-020-03751-0

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