Lower bounds for constant-depth formulae? We know a lot about the limitations of (polynomial size) constant-depth circuits. Since (polynomial size) constant-depth formulae are an even more restricted model of computation, all problems known not to be in AC0 are also not computable by a constant-depth formula.  However, since it's an easier model, I'm guessing there are more problems known to be not computable in this model.  Has this been studied? (I'm guessing it has been, but I'm probably not using the right search terms.)

Specifically I am interested in the following question: Is there some function f, which can be computed by an AC0 circuit of size S, but needs a constant-depth formula of size at least quadratic in S, or super-polynomial in S?  What's the best known result of this kind?

In case it is not clear what I mean by constant-depth formula, I mean a formula which if you write out as a tree (with internal nodes being AND/OR/NOT gates, and leaves being inputs), then this tree has constant height. Equivalently, a constant-depth formula is a constant-depth circuit in which all non-input gates have fanout 1.
This question has been completely resolved (up to constant factors) by a recent result of Benjamin Rossman (http://eccc.hpi-web.de/report/2013/169/).

As Kaveh points out above, a depth $d$, size $S$, circuit can be converted to a depth $d$, size $S^d$ formula. 

Rossman shows that this is essentially tight. For any depth $d$, he exhibits a function that can be computed by a constant-depth circuit of depth $d$ and size $S = O(n^3)$, but any constant-depth formula (or even a $\sqrt{\log n}$-depth formula) needs size $S^{\Omega(d)}$ to compute it. 

(Forgot to say this before: Thanks to Benjamin Rossman for letting me know about this result.)