Demographic perturbation analysis explores how population statistics (espec
ially population growth rate lambda) respond to changes in the vital rates
(survival, growth, development, reproduction, and so on). Perturbation anal
ysis is used in two logically distinct ways. Prospective analyses (sensitiv
ity and elasticity) explore the functional dependence of lambda on the vita
l rates. They predict the changes in lambda that would result from any spec
ified change in the vital rates and are independent of previous patterns of
variability of the vital rates. Retrospective analyses (life table respons
e experiment [LTRE] methods and other kinds of variance decomposition) expr
ess observed variation in lambda as a function of observed (co)variation in
the vital rates. Their results are specific to the observed pattern of var
iation. Sensitivity and elasticity analysis can be used to identify potenti
al management targets because changes in vital rates with high sensitivity
or elasticity will produce large changes in lambda. Sometimes that potentia
l may not be realized because it is difficult or impossible to change those
vital rates. Retrospective analyses cannot identify potential management t
argets because they compare the contributions of past changes in vital rate
s, not the effects of future changes. Just as the results of heritability a
nalysis say nothing about the efficacy of clinical treatments, so the resul
ts of retrospective analysis say nothing about the efficacy of potential ma
nagement tactics. Perturbation analysis is a powerful tool with important i
mplications for conservation. It is important that perturbation analyses be
applied properly.