Native grasses interact spatially with themselves and their environmen
t and can therefore be thought of as a system of dependent random vari
ables. One method of modeling the spatial dependence of a multi-specie
s population is a Gibbsian pairwise potential model. Since natural !;e
lection operates at the level of individual plants, the information ob
tained from such a model should provide a greater understanding of the
intraspecific interactions in plant populations, while providing a th
eoretical basis for determining a plants' 'competitive zone' of influe
nce. In this paper we fit a pairwise potential model to describe the s
patial dependency of dominant grasses and forbs measured on a 1.5 x 1.
5 m study plot located on a shortgrass prairie site near Fort Collins,
Colorado. Dominant grasses included blue grama (Bouteloua gracilis),
western wheatgrass (Agropyron smithii), Indian ricegrass (Oryzopsis hy
menoides), and needle-and-thread grass (Stipa comata). Procedures for
introducing spatial heterogeneity in the model is also discussed. (C)
1997 Elsevier Science B.V.