Grounds for improving the implementation of game-oriented forest management – A double sampling survey of Finnish forest owners and professionals

Ikonen, Piia; Rantala, Mirja; Miettinen, Janne; Kuittinen, Suvi; Hujala, Teppo; Mehtätalo, Lauri; Pappinen, Ari

doi:10.1016/j.forpol.2020.102266

Cited by 5 publications

(2 citation statements)

References 31 publications

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“…Game theory has been used in various elds such as economics (Camerer, 1997) and social sciences (Myerson, 1992), water resources management (Parrachino et al 2006a, b;Carraro et al 2007;Homayounfar et al 2010;Sobuhi, 2010;Liu at al. 2021;Mohammadifar et al 2021), optimal groundwater consumption (Mazandarani zadeh et al 2010;Pourzand and Zibaei 2010;Nazari et al 2020;Yazdian et al 2021), wood market (Mohammadi Limayi, 2006, paper market (Mohammadi Limayi, 2010), forest management (Rodriguez et al 2009;Shahi and Kant 2007;Ikonen et al 2020) and watershed management (Lee, 2012;Moradi and Mohammadi Limaei 2018;Adhami et al 2020). The game theory can simulate the decision-making behavior of different stakeholders with con icting interests and facilitate reaching a consensus among them (Rasmusen, 2001;Zhang, 2004;Maleki et al 2020).…”

Section: Introductionmentioning

confidence: 99%

Developing an integrated land allocation model based on linear programming and game theory

Hasti

Salmanmahiny

Rouhi

et al. 2023

Environ Monit Assess

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Land use con guration in any given landscape is the result of a multi-objective optimization process, which takes into account different ecological, economic and social factors. In this process, coordinating stakeholders is a key factor to successful spatial land use optimization. Stakeholders need to be modeled as players who have the ability to interact with each other towards their best solution, while considering multiple goals and constraints at the same time. Game theory provides a tool for land use planners to model and analyze such interactions. In order to apply the spatial allocation model and address stakeholder con icts, an integrated model based on linear programming and game theory was designed in the present study. For implementing such model, we conducted an optimal land use allocation process through multi-objective land allocation (MOLA) and linear programming methods. Then, two groups of environmental and land development players were considered to implement the optimization model. The game algorithm was used to select the appropriate constraint so that the result was acceptable to all stakeholders. The results showed that in the third round of the game, the decision-making process and the optimization of land uses reached the desired Nash Equilibrium state and the con ict between stakeholders was resolved. Ultimately, in order to localize the results, a suitable solution was presented in GIS environment.

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Section: Introductionmentioning

confidence: 99%

Developing an integrated land allocation model based on linear programming and game theory

Hasti

Salmanmahiny

Rouhi

et al. 2023

Environ Monit Assess

View full text Add to dashboard Cite

show abstract

Section: Introductionmentioning

confidence: 99%

Developing an Integrated Land Allocation model based on Linear Programming and Game Theory

Hasti

Salmanmahiny

Rouhi

et al. 2022

Preprint

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Land use configuration in any given landscape is the result of a multi-objective optimization process, which takes into account different ecological, economic and social factors. In this process, coordinating stakeholders is a key factor to successful spatial land use optimization. Stakeholders need to be modeled as players who have the ability to interact with each other towards their best solution, while considering multiple goals and constraints at the same time. Game theory provides a tool for land use planners to model and analyze such interactions. In order to apply the spatial allocation model and address stakeholder conflicts, an integrated model based on linear programming and game theory was designed in the present study. For implementing such model, we conducted an optimal land use allocation process through multi-objective land allocation (MOLA) and linear programming methods. Then, two groups of environmental and land development players were considered to implement the optimization model. The game algorithm was used to select the appropriate constraint so that the result was acceptable to all stakeholders. The results showed that in the third round of the game, the decision-making process and the optimization of land uses reached the desired Nash Equilibrium state and the conflict between stakeholders was resolved. Ultimately, in order to localize the results, a suitable solution was presented in GIS environment.

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A Review of Potential Innovation Pathways to Enhance Resilience in Wood-Based Value Chains

2023

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Purpose of Review Climate change poses a threat to European forests and threatens their capacity to deliver ecosystem services. Innovation is often considered critical to increasing resilience in wood-based value chains. However, the knowledge about types of innovation processes and how they enhance resilience, if at all, is largely dispersed. In this conceptual paper, we refer to examples from the forestry, bioeconomy, adaptation, and innovation literature to develop an overview of innovation pathways along the wood value chain. Thereafter, we evaluate the extent to which they enhance or compromise resilience to climate change and how they do so. Recent Findings We differentiate between forest and value chain resilience and assume that innovation positively influences both types of resilience via three resilience drivers: diversifying the product portfolio, making operations more efficient, or making the processes more flexible. Our literature review revealed nine innovation pathways along the value chain. Summary The pathways rarely connect forest management and the processing industry. Consequently, a mismatch was identified between the innovation pathways and resilience drivers applied to increase diversification at the beginning of the value chain (in forest management) and those applied to increase efficiency towards the end of the value chain (in the processing industry). Considering this mismatch, we stress that it is critical to reconsider the term innovation as a silver bullet and to increase the awareness of resilience drivers and innovation pathways, as well as reconsider ways to combine them optimally. We recommend engaging in open innovation activities to cooperatively draft innovation strategies across the entire wood value chain and intercept pathways by making processes more flexible.

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Grounds for improving the implementation of game-oriented forest management – A double sampling survey of Finnish forest owners and professionals

Cited by 5 publications

References 31 publications

Developing an integrated land allocation model based on linear programming and game theory

Developing an integrated land allocation model based on linear programming and game theory

Developing an Integrated Land Allocation model based on Linear Programming and Game Theory

A Review of Potential Innovation Pathways to Enhance Resilience in Wood-Based Value Chains

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