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EvaSylv: A user-friendly software to evaluate forestry scenarii including natural risk
- Publication Year :
- 2019
- Publisher :
- HAL CCSD, 2019.
-
Abstract
- Forest management relies on the evaluation of silviculture practices. The increase in natural risk due to climate change makes it necessary to consider evaluation criteria that take natural risk into account. Risk integration in existing software requires advanced programming skills.We propose a user-friendly software to simulate even-aged and monospecific forest at the stand level, in order to evaluate and optimize forest management. The software gives the possibility to run management scenarii with or without considering the impact of natural risk. The control variables are the dates and rates of thinning and the cutting age.The risk model is based on a Poisson processus. The Faustmann approach, including tree damage risk, is used to evaluate future benefits, economic or ecosystem services. It relies on the calculation of expected values, for which a dedicated mathematical development has been done. The optimized criteria used to evaluate the various scenarii are the Faustmann value and the Averaged yield value.We illustrate the approach and the software on two case studies: economic optimization of a beech stand and carbon sequestration optimization of a pine stand.Software interface makes it easy for users to write their own (growth-tree damage-economic) models without advanced programming skills. The possibility to run management scenarii with/without considering the impact of natural risk may contribute improving silviculture guidelines and adapting them to climate change. We propose future lines of research and improvement.
- Subjects :
- FOS: Computer and information sciences
Faustmann
stand level
forest management
[QFIN.RM]Quantitative Finance [q-fin]/Risk Management [q-fin.RM]
natural risk
Statistics - Applications
FOS: Economics and business
[QFIN.RM] Quantitative Finance [q-fin]/Risk Management [q-fin.RM]
Applications (stat.AP)
Quantitative Biology - Populations and Evolution
JEL: Q - Agricultural and Natural Resource Economics • Environmental and Ecological Economics/Q.Q1 - Agriculture
Populations and Evolution (q-bio.PE)
JEL: D - Microeconomics/D.D8 - Information, Knowledge, and Uncertainty/D.D8.D81 - Criteria for Decision-Making under Risk and Uncertainty
Decision Support System
simulation
[INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation
[SDE.ES]Environmental Sciences/Environmental and Society
storm risk
JEL: Q - Agricultural and Natural Resource Economics • Environmental and Ecological Economics/Q.Q2 - Renewable Resources and Conservation/Q.Q2.Q23 - Forestry
Risk Management (q-fin.RM)
FOS: Biological sciences
[INFO.INFO-MO] Computer Science [cs]/Modeling and Simulation
[SDE.ES] Environmental Sciences/Environmental and Society
optimization
Quantitative Finance - Risk Management
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....348f5256038ce1150aa24000406bfc12