Jg. Wu et Sa. Levin, A SPATIAL PATCH DYNAMIC MODELING APPROACH TO PATTERN AND PROCESS IN AN ANNUAL GRASSLAND, Ecological monographs, 64(4), 1994, pp. 447-464
Landscapes are hierarchical mosaics of patches that differ in their ag
e, size, shape, content, and other aspects. The Jasper Ridge serpentin
e grassland exemplifies hierarchical patchiness and pattern-process in
teractions that are common features of natural ecosystems. Gopher moun
ds formed each year destroy all the plant individuals underneath and r
esult in conspicuous spatial pattern in the landscape. A snapshot of t
he system is, therefore, a reflection of the patch mosaic of gopher mo
unds that are different in age and species composition and abundance.
Based on a patch dynamics perspective, we have developed a spatially e
xplicit patch-based modeling approach to studying landscape pattern an
d process dynamics. The simulation model (PATCHMOD) has two major comp
onents: a spatially explicit, age- and size-structured patch demograph
ic model and a multiple-species plant population dynamic model. We use
this simulation model to examine the spatiotemporal dynamics of the d
isturbance patches and of populations of two species on the local and
landscape scales. The spatial patch dynamic model can relate spatiotem
poral dynamics of plant populations to the age- and size-structured di
sturbance patch population, taking into account variability in microha
bitats, complexity in patch overlap, and patch-based plant competition
. The localized gopher disturbances can significantly structure the ve
getation dynamics at the landscape level. Local populations at the pat
ch level may go extinct frequently, though metapopulations may show li
ttle fluctuation. Disturbance promotes coexistence of Bromus mollis an
d Lasthenia californica by divorcing local competitive exclusion and g
lobal extinction. The functional representation of an ecological relat
ionship such as density-dependent fecundity at the local patch scale m
ay be transmuted by patchiness at the landscape scale.