A model for mimicking land plant evolution is here expanded and re-evaluate
d. The model consists of (1) a morphospace containing on the order of 10(9)
phenotypic variants, (2) 15 different fitness landscapes, each defined on
the basis of performing one or more of four tasks (i,e, maximizing light in
terception, mechanical stability and reproduction, and minimizing total sur
face area), and (3) an algorithm driving a search through fitness landscape
s for more fit variants. The model is used to predict the effects of the nu
mber of simultaneously performed tasks ('complexity'), abrupt changes in en
vironmental conditions (mimicked by random replacement of one fitness lands
cape with another), and developmental barriers (mimicked by barring searche
s from entering specific subdomains in the morphospace) on number and acces
sibility of variants occupying fitness maxima, The model predicts that (1)
the number and accessibility of fitness peaks will increase (while the diff
erence between the relative fitness of peaks and valleys will decrease) in
proportion to functional complexity, (2) abrupt shifts in landscapes will i
ncrease rather than decrease phenotypic diversity, and (3) obstructed searc
hes have an equal or higher probability of reaching fitness peaks than unfe
ttered searches. These results follow axiomatically from the way hypothetic
al variants are spatially ordered in the morphospace, the manner in which r
elative fitness is defined, and the protocol used to locate fitness peaks.
A critique of the model's predictions and desiderata for future research ar
e provided.