Multi-criteria decision models for forestry and natural resources management: an annotated bibliography

Joseph E. de Steiguer; Leslie Liberti; Al Schuler; Bruce Hansen

doi:10.2737/NE-GTR-307

Treesearch

Multi-criteria decision models for forestry and natural resources management: an annotated bibliography

Informally Refereed

Authors:

Joseph E. de Steiguer, Leslie Liberti, Al Schuler, Bruce Hansen

Year:

2003

Type:

General Technical Report

Station:

Northern Research Station

DOI:

https://doi.org/10.2737/NE-GTR-307

Source:

Gen. Tech. Rep. NE-307. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northeastern Research Station. 32 p.

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Abstract

Foresters and natural resource managers must balance conflicting objectives when developing land-management plans. Conflicts may encompass economic, environmental, social, cultural, technical, and aesthetic objectives. Selecting the best combination of management uses from numerous objectives is difficult and challenging. Multi-Criteria Decision Models (MCDM) provide a systematic means for comparing tradeoffs and selecting alternatives that best satisfy the decisionmaker?s objectives. In recent years, the use of MCDM in forestry and natural resources management has generated a substantial body of literature. This annotated bibliography includes 124 important references ranging from theoretical studies to real-world applications of MCDM.

Keywords

linear programming, goal programming, mathematical programming, dynamic programming, hierarchical programming, heuristics

Citation

de Steiguer, Joseph E.; Liberti, Leslie; Schuler, Albert; Hansen, Bruce. 2003. Multi-criteria decision models for forestry and natural resources management: an annotated bibliography. Gen. Tech. Rep. NE-307. Newtown Square, PA: U.S. Department of Agriculture, Forest Service, Northeastern Research Station. 32 p.