Forest Management Zone Design with a Tabu Search Algorithm
Emina Krcmar,
Snezana Mitrovic-Minic,
Gerrit van Kooten and
Ilan Vertinsky
No 37022, Working Papers from University of Victoria, Resource Economics and Policy
Abstract:
Increased conflicts between timber production and environmental protection led some analysts to advocate land-use segregation, often referred to as forest management zoning. The objective of zoning is to create ecologically desirable non-fragmented forest reserves and group timber production areas. We formulate an integer programming model of forest zoning that explicitly addresses clustering of spatial units allocated to timber production and reserve zones while also promoting separation of these zones. A tabu search algorithm is developed, implemented and tested using a case study. The case study results indicate that up to 5% of the net financial return is sacrificed with a 'satisfactory' grouping of units within each zone. A 'good' separation between the reserves and timber production zone is achieved at the cost of further decline of the net financial return up to 11% relative to the unconstrained case.
Keywords: Environmental Economics and Policy; Land Economics/Use; Resource/Energy Economics and Policy (search for similar items in EconPapers)
Pages: 26
Date: 2005-11
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://ageconsearch.umn.edu/record/37022/files/WorkingPaper2005-12.pdf (application/pdf)
Related works:
Working Paper: Forest Management Zone Design with a Tabu Search Algorithm (2005) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ags:uvicwp:37022
DOI: 10.22004/ag.econ.37022
Access Statistics for this paper
More papers in Working Papers from University of Victoria, Resource Economics and Policy
Bibliographic data for series maintained by AgEcon Search ().