A general cohort analysis method for exploited wildlife populations is
described and analysed. Basic mathematical properties are studied for
the case of deterministic, Riemann-time-integrable mortality rates, a
nd differentiable cumulative catch function, and a simple, but still f
lexible, technique for stepwise backcalculation of a cohort is given a
s a special case. It is shown, and illustrated by examples, that this
may replace existing virtual population analysis techniques, and even
give better estimates, when existing techniques are biased. Expression
s for the sensitivity of backcalculated cohort numbers and mean exploi
tation rates to simultaneous deviations in input parameters and functi
ons are derived analytically, and some properties of these expressions
are demonstrated in examples.