Artificial intelligent assistant

Understanding expected mean number of breeding seasons I've recently come across an equation for the expected mean number of breeding seasons after the first breeding season, as a function of the annual survival rate (S) and the probability of breeding, $$ \mathbb{E}(\\#\text{ of breeding seasons}) = \dfrac{1}{-\ln(S)} \times \text{breeding probability} $$ I'm having a hard time understanding what the term $1 / -\ln(S)$ represents. Any ideas?

It's just a continuous version of the discrete calculation. The discrete version is the (infinite series) sum

$$ \sum_{i = 0}^\infty S^i \cdot bp $$

adding up every (chance of survival to season $i$) x (breeding probability given that survival).

Making this continuous converts the equation to

$$ \begin{split} & \int_0^\infty bp \cdot S^i \, di \\\ = \enspace & bp \int e^{i \ln S} \, di \end{split} $$

integrating gives

$$ \left.bp \cdot \frac{e^{i \, \ln(S)} }{\ln(S)} \right\vert_{0}^{\infty} $$

Evaluating gives $$ = \frac{bp \cdot e^{-\infty} }{\ln(S)} - \frac{bp \cdot e^{0} }{\ln(S)} $$ (remembering that $0 <= S < 1$, so $\ln(S) < 0$)

$$ = bp \cdot 0 - bp \cdot \frac{1}{\ln(S)} = bp \cdot \left(0 - \frac{1}{\ln(S)}\right) = bp \cdot \frac{-1}{\ln(S)} $$

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