Sophisticated computational methods have been developed to help us to ident
ify sets of nature reserves that maximize the representation of regional di
versity, but, until recently, the methods have not dealt explicitly and dir
ectly with the main goal of reserve networks, that of the tong-term mainten
ance of biodiversity. Furthermore,the successful application of current met
hods requires reliable information about species distributions, which is no
t always available. Recent results show that data quality, as well as the c
hoice of surrogates for biodiversity. could he critical for successful rese
rve design. Because of these problems and a lack of communication between s
cientists and managers, the impact of computational site-selection tools in
applied conservation planning has been minimal.