Attempts to model form-function relationships for fossil plants rely on the
facts that the physiological and structural requirements for plant growth,
survival, and reproductive success are remarkably similar for the majority
of extant and extinct species regardless of phyletic affiliation and that
most of these requirements can be quantified by means of comparatively simp
le mathematical expressions drawn directly from the physical and engineerin
g sciences. Owing in part to the advent and rapid expansion of computer tec
hnologies, the number of fossil plant form-function models has burgeoned in
the last two decades and encompasses every level of biological organizatio
n ranging from molecular self-assembly to ecological and evolutionary dynam
ics. This recent and expansive interest in modeling fossil plant form-funct
ion relationships is discussed in the context of the general philosophy of
modeling past biological systems and how the reliability of models can be e
xamined (i.e., direct experimental manipulation or observation of the syste
m being modeled). This philosophy is illustrated and methods of validating
models are critiqued in terms of four models drawn from the author's work (
the quantification of wind-induced stem bending stresses, wind pollination
efficiency of early Paleozoic ovulate reproductive structures, population d
ynamics and species extinction in monotypic and "mixed" communities, and th
e adaptive radiation of early vascular land plants). The assumptions and lo
gical (mathematical) consequences (predictions) of each model are broadly o
utlined, and, in each case, the model is shown to be overly simplistic desp
ite its ability to predict the general or particular behavior or operation
of the system modeled. Nonetheless, these four models, which illustrate som
e of pros and cons of modeling fossil form-function relationships, are argu
ed to be pedagogically useful because, like all models, they expose the int
ernal logical consistency of our basic assumptions about how organic form a
nd function interrelate.