UCSB IBM
ERP Related Publications Abstracts
Reserve Selection
as a Maximal Covering Location Problem
Richard L.
Church, David M. Stoms, and Frank W. Davis
Many alternative
approaches have been proposed for setting conservation priorities
from a database of species (or communities) by site. We present a
model based on the premise that reserve selection or site prioritization
can be structured as a classic covering problem commonly used in many
location problems. Specifically, we utilize a form of the maximal
covering location model to identify sets of sites which represent
the maximum possible representation of specific species. An example
application is given for vertebrate data
of Southwestern California, which is then compared to an iterative
solution process used in previous studies. It is shown that the maximal
covering model can quickly meet or exceed iterative models in terms
of the coverage objective and automatically satisfies a complementarity
objective. Refinements to the basic model are also proposed to address
additional objectives such as irreplaceability and flexibility.
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