How considering multiple criteria, uncertainty scenarios and biological interactions may influence the optimal silvicultural strategy for a mixed forest

Keyphrases

• Biological Interactions 100%
• Multi-criteria 100%
• Mixed Forest 100%
• Clear-cutting 100%
• Uncertainty Scenarios 100%
• Cutting System 100%
• Soil Expectation Value 100%
• Scenario Interaction 100%
• Optimization Approach 66%
• Decision Maker 66%
• Harvesting Regime 66%
• Data-centric 33%
• Timber 33%
• Forestry 33%
• Tree Species 33%
• Norway Spruce 33%
• Decision Criteria 33%
• Stand Level 33%
• Fagus Sylvatica 33%
• Improved Survival 33%
• Forest Management 33%
• European Beech 33%
• Growth Response 33%
• Partial Harvesting 33%
• Pure Forest 33%
• Cash Flow 33%
• Tree Species Composition 33%
• Continuous Cover Forestry 33%
• Discount Rate 33%
• Establishment Costs 33%
• Single Species 33%
• Picea Abies 33%
• Future Forests 33%
• Interaction Influence 33%
• Stand-level Optimization 33%
• Silver Fir 33%
• Stand Composition 33%
• Decision-making Preference 33%
• Abies Alba 33%
• Carbon Stores 33%
• Management Criteria 33%
• Uncertain Input Data 33%
• Multiple Decision Criteria 33%
• Ellipsoidal Uncertainty Set 33%
• Science-based 33%

Agricultural and Biological Sciences

• Forestry 100%
• Mixed Forest 100%
• Picea Abies 100%
• Abies Alba 100%
• Scenario Uncertainty 100%
• Fagus Sylvatica 50%
• Forest Management 50%
• Beech 50%
• Stand Composition 50%
• Purity 50%
• Decision Making 50%