Integrating wind damage vulnerability into long-term forest planning

Forest management affects vulnerability of forests to wind damage. • Forest planning can mitigate the vulnerability to wind damages. • The proposed model optimises management activities in space and time. • High-risk activities are restricted near vulnerable stands. • The model is adaptable and customisable. The vulnerability of forests to wind damage depends to a large degree on the characteristics of the specific stand and its neighboring stands, making forest management a key action in modifying the forest's wind damage vulnerability. Thus, by strategically planning where and when different forest management activities are scheduled to happen, forest managers can influence a forest's vulnerability to wind damage. In this study, we present a long-term forest planning model that identifies optimal forest management activities accounting for this specific vulnerability. The main decision in the model concerns the management of each individual stand throughout the planning horizon when the objective is to fulfil traditional long-term forest management goals and also to reduce the vulnerability to wind damage. In the model, consideration of wind damage is included by banning management activities such as final fellings in stands adjacent to highly vulnerable stands. Furthermore, the optimization model applied is specifically structured to be solvable using exact solution techniques. The model is evaluated for a case study area of 2450 hectares in southern Sweden for a 70-year planning horizon. Results suggest that it is possible to incorporate wind damage considerations into a long-term harvest scheduling problem. The proposed model excels in its ability to offer flexibility, allowing users to freely modify the settings in the model to choose their definition of vulnerability to wind damage. In addition, the model can be included in a traditional decision support system for forest planning utilizing exact solution techniques

Computer security · Data mining · Decision model · Decision support system · Environmental planning · Environmental resource management · Machine learning · Spatial planning · Computer Science · Environmental Science · Forest ecology and management · Plant Water Relations and Carbon Dynamics · Tree Root and Stability Studies

• Mitigating forest biodiversity and ecosystem service losses in the era of bio-based economy

  Open Access•Kyle Eyvindson, Anna Repo et al.•Forest Policy and Economics•2018

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