Split diversity in constrained conservation prioritization using integer linear programming
Phylogenetic diversity (PD) is a measure of biodiversity based on the evolutionary history of species. Here, we discuss several optimization problems related to the use of PD, and the more general measure split diversity (SD), in conservation prioritization. Depending on the conservation goal and the information available about species, one can construct optimization routines that incorporate various conservation constraints. We demonstrate how this information can be used to select sets of species for conservation action. Specifically, we discuss the use of species' geographic distributions, the choice of candidates under economic pressure, and the use of predator–prey interactions between the species in a community to define viability constraints. Despite such optimization problems falling into the area of NP hard problems, it is possible to solve them in a reasonable amount of time using integer programming. We apply integer linear programming to a variety of models for conservation prioritization that incorporate the SD measure. We exemplarily show the results for two data sets: the Cape region of South Africa and a Caribbean coral reef community. Finally, we provide user-friendly software at http://www.cibiv.at/software/pda.
Top- von Haeseler, Arndt
- Bui, Minh Q.
- Chernomor, Olga
- Henzinger, Monika
Category |
Journal Paper |
Divisions |
Bioinformatics and Computational Biology Theory and Applications of Algorithms |
Subjects |
Informatik Sonstiges |
Journal or Publication Title |
Methods in Ecology and Evolution |
ISSN |
2041-210X |
Publisher |
WILEY-BLACKWELL |
Place of Publication |
111 RIVER ST, HOBOKEN 07030-5774, NJ USA |
Page Range |
pp. 83-91 |
Number |
1 |
Volume |
6 |
Date |
January 2015 |
Export |