Optimal deterministic and stochastic continuous cover forestry

Sammanfattning

It is shown that optimal continuous cover forestry generates a higher present value than rotation forestry in a large set of problems. Economic and biological parameters influence optimal values and decision rules. Explicit analytical derivations of optimal values and decision rules based on deterministic assumptions are included. A possibly changing climate, wood market price changes and other “stochastic” events influence optimal decisions. Hence, optimal adaptive decision rules are determined via multi stage stochastic programming and stochastic dynamic programming in Markov chains. The expected present value changes caused by stochastic events are determined

Publicerad i

New Opportunities for Operations Research
2003, Utgivare: INFORMS

Konferens

New Opportunities for Operations Research

SLU författare

• Lohmander, Peter

  • Institutionen för skogsekonomi, Sveriges lantbruksuniversitet
    

UKÄ forskningsämne

Samhällsvetenskap
Ekonomi och näringsliv
Skogsvetenskap


Permanent länk till denna sida (URI)

https://res.slu.se/id/publ/2255