A note on optimal algorithms for reserve site selection

• Published in: Biological conservation Vol. 78; no. 3; pp. 353 - 355
• Main Authors: Camm, Jeffrey D., Polasky, Stephen, Solow, Andrew, Csuti, Blair
• Format: Journal Article
• Language: English
• Published: Oxford Elsevier Ltd 1996; Elsevier
• Subjects: Animal, plant and microbial ecology; Applied ecology; Biological and medical sciences; Conservation, protection and management of environment and wildlife; Fundamental and applied biological sciences. Psychology; General aspects; integer programming; maximal coverage problem; reserve site selection; integer programming; maximal coverage problem; reserve site selection; Mathematical formula; Site selection; Nature reserve; Models; Algorithm; Optimization; Environmental protection
• ISSN: 0006-3207; 1873-2917
• DOI: 10.1016/0006-3207(95)00132-8

A recent note by Underhill ( Biol. Conserv., 70, 85-7, 1994) points out the need for the use of optimization models and a closer working relationship with mathematicians for the solution of biological management problems such as the reserve site selection problem. In this note we give the mathematical formulation of what he terms ‘the more realistic’ version of the reserve selection problem, namely, the problem of maximizing the number of species preserved given a fixed budget for reserve sites. We also discuss some straight-forward data reduction schemes which may reduce the solution time for these problems when they are solved using general off-the-shelf optimization code as mentioned by Underhill.