Studies on soil patterning on a small scale in arid and semi-arid regions h
ave rarely been conducted. Many papers implicitly assume that plant distrib
ution is controlled by some soil variables acting at small scales. We have
directly tackled the relationships between soil and some biotic variables i
ncluding plant distribution at small scales in an Iberian semi-arid gypsum
environment. This has been carried out by means of Canonical Correspondence
Analysis as a hypothesis-testing tool. CCA models show that the spatial da
ta matrix is able to explain a relevant fraction of the soil data set (P <
0.001). The most important variable, as firstly selected in the CCA stepwis
e selection procedure, suggests the existence of a vegetation-elevation gra
dient in relation to soil physical properties; the rest of selected variabl
es indicates the existence of other spatial trends which may be related to
certain microgeomorphological features. On the other hand, only the cover o
f annuals and the cover of litter are selected in the case of the biotic da
ta set as constraining matrix, but not the cover of any perennial plant. Pa
rtial CCA models indicated that the remaining information explained by the
spatial data set after adjusting the biotic set as covariables is also sign
ificant (p < 0.001). This variability is not related to the existence of ve
getation bands as shown by the two selected variables in the case of the pa
rtial CCA models. The primary source of spatial soil variation is related t
o the existence of three community bands and these differences are able to
explain even the change of plant life forms in vegetated band. The soil par
ameters controlling the changes are mainly related to texture and surface f
eatures. However, we detected other sources of spatial soil variation out o
f this primary model. This hierarchical spatial pattern seems to be related
to some geomorphological traits of the landscape, such as soil crust stren
gth, presence of gypsum crystals or bare zones, and not to the presence of
mature gypsophytes (at least the five most frequent) which might ameliorate
the soil environment. Furthermore, the biotic data set is not able to expl
ain any new fraction of soil variability out of that already explained by t
he spatial data set.