Elasticity is a perturbation measure in matrix projection models that quant
ifies the proportional change in population growth rate as a function of a
proportional change in a demographic transition (growth, survival, reproduc
tion, etc.). Elasticities thus indicate the relative "importance" of life c
ycle transitions for population growth and maintenance. In this paper. we d
iscuss the applications of elasticity analysis, and its extension, loop ana
lysis, in life history studies and conservation, Elasticity can be interpre
ted as the relative contribution of a demographic parameter to population g
rowth rate. Loop analysis reveals the underlying pathway structure of the l
ife cycle graph. The different kinds of results of the two analyses in stud
ies of life histories are emphasized. Because elasticities quantify the rel
ative importance of life cycle transitions to population growth rate, it is
generally inferred that management should focus on the transitions with th
e largest elasticities. Such predictions based on elasticities seem robust,
but we do identify three situations where problems may arise. The mathemat
ical properties and biological constraints that underlie these pitfalls are
explained. Examples illustrate the additional information that needs to be
taken into account for a sensible use of elasticities in population manage
ment. We conclude by indicating topics that are in need of research.