  The growing public nature of academic journals along with current best
practices of sharing primary data for scientific research are profoundly
valuable for the understanding of a species and their conservation efforts. On
the other hand, public spatial data on endangered species may be easily abused
by wildlife criminals. In this paper, we discuss how geo-indistinguishability,
a formal notion of privacy for location-based systems, can be used to add noise
to published spatial data whilst allowing quantification of such tradeoff.
