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SUB MODELS FOR OPTIMAL CONTINUOUS COVER MULTI SPECIES FORESTRY IN IRAN
University of Guilan, Iran.
SLU.
Mid Sweden University, Faculty of Science, Technology and Media, Department of Information and Communication systems.
2015 (English)In: Proceeeding , 2015Conference paper, Abstract (Refereed)
Abstract [en]

Forestry in Iran is based on continuous cover forestry (CCF) management principles. CCF often leads to higher expected present values than rotation forestry (RF) with clear cuts. Furthermore, CCF has environmental advantages of several kinds. Many different species of trees grow together in large parts of these forests in Iran. Mixed species forests give advantages compared to monocultures, such as options to adapt harvesting of different species to changes in market prices, climate, species specific damages etc. In order to optimize multi species CCF in Iran, it is necessary to develop mathematical models for operations research studies that represent the relevant parts of the Iranian forestry planning problem. This presentation includes central components in this modelling process: Forest statistics, growth function estimations and the links to forest harvesting, logistics and the forest industry mills.  

Place, publisher, year, edition, pages
2015.
Keyword [en]
Forest statistics, Caspian forest, Dynamic growth models, Optimization, Logistics
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:miun:diva-26320OAI: oai:DiVA.org:miun-26320DiVA: diva2:874640
Conference
8th International conference of Iranian Operations Research Society. Mashhad, Iran, 21-22 may 2015
Projects
Cooperation in forest management between Sweden and Iran
Funder
The Swedish Foundation for International Cooperation in Research and Higher Education (STINT)
Available from: 2015-11-27 Created: 2015-11-27 Last updated: 2015-12-01Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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  • de-DE
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Output format
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